Release NeoHorse-1-4B-MLX-8bit
Browse filesCo-authored-by: AlexDL <AlexDL@users.noreply.huggingface.co>
- .gitattributes +36 -0
- LICENSE +209 -0
- README.md +409 -0
- chat_template.jinja +154 -0
- config.json +94 -0
- generation_config.json +6 -0
- model.safetensors +3 -0
- model.safetensors.index.json +932 -0
- tokenizer.json +3 -0
- tokenizer_config.json +33 -0
.gitattributes
ADDED
|
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
*.7z filter=lfs diff=lfs merge=lfs -text
|
| 2 |
+
*.arrow filter=lfs diff=lfs merge=lfs -text
|
| 3 |
+
*.bin filter=lfs diff=lfs merge=lfs -text
|
| 4 |
+
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
| 5 |
+
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
| 6 |
+
*.ftz filter=lfs diff=lfs merge=lfs -text
|
| 7 |
+
*.gz filter=lfs diff=lfs merge=lfs -text
|
| 8 |
+
*.h5 filter=lfs diff=lfs merge=lfs -text
|
| 9 |
+
*.joblib filter=lfs diff=lfs merge=lfs -text
|
| 10 |
+
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
| 11 |
+
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
| 12 |
+
*.model filter=lfs diff=lfs merge=lfs -text
|
| 13 |
+
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
| 14 |
+
*.npy filter=lfs diff=lfs merge=lfs -text
|
| 15 |
+
*.npz filter=lfs diff=lfs merge=lfs -text
|
| 16 |
+
*.onnx filter=lfs diff=lfs merge=lfs -text
|
| 17 |
+
*.ot filter=lfs diff=lfs merge=lfs -text
|
| 18 |
+
*.parquet filter=lfs diff=lfs merge=lfs -text
|
| 19 |
+
*.pb filter=lfs diff=lfs merge=lfs -text
|
| 20 |
+
*.pickle filter=lfs diff=lfs merge=lfs -text
|
| 21 |
+
*.pkl filter=lfs diff=lfs merge=lfs -text
|
| 22 |
+
*.pt filter=lfs diff=lfs merge=lfs -text
|
| 23 |
+
*.pth filter=lfs diff=lfs merge=lfs -text
|
| 24 |
+
*.rar filter=lfs diff=lfs merge=lfs -text
|
| 25 |
+
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
| 26 |
+
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
| 27 |
+
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
| 28 |
+
*.tar filter=lfs diff=lfs merge=lfs -text
|
| 29 |
+
*.tflite filter=lfs diff=lfs merge=lfs -text
|
| 30 |
+
*.tgz filter=lfs diff=lfs merge=lfs -text
|
| 31 |
+
*.wasm filter=lfs diff=lfs merge=lfs -text
|
| 32 |
+
*.xz filter=lfs diff=lfs merge=lfs -text
|
| 33 |
+
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
+
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
+
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
LICENSE
ADDED
|
@@ -0,0 +1,209 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
|
| 2 |
+
Apache License
|
| 3 |
+
Version 2.0, January 2004
|
| 4 |
+
http://www.apache.org/licenses/
|
| 5 |
+
|
| 6 |
+
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
|
| 7 |
+
|
| 8 |
+
1. Definitions.
|
| 9 |
+
|
| 10 |
+
"License" shall mean the terms and conditions for use, reproduction,
|
| 11 |
+
and distribution as defined by Sections 1 through 9 of this document.
|
| 12 |
+
|
| 13 |
+
"Licensor" shall mean the copyright owner or entity authorized by
|
| 14 |
+
the copyright owner that is granting the License.
|
| 15 |
+
|
| 16 |
+
"Legal Entity" shall mean the union of the acting entity and all
|
| 17 |
+
other entities that control, are controlled by, or are under common
|
| 18 |
+
control with that entity. For the purposes of this definition,
|
| 19 |
+
"control" means (i) the power, direct or indirect, to cause the
|
| 20 |
+
direction or management of such entity, whether by contract or
|
| 21 |
+
otherwise, or (ii) ownership of fifty percent (50%) or more of the
|
| 22 |
+
outstanding shares, or (iii) beneficial ownership of such entity.
|
| 23 |
+
|
| 24 |
+
"You" (or "Your") shall mean an individual or Legal Entity
|
| 25 |
+
exercising permissions granted by this License.
|
| 26 |
+
|
| 27 |
+
"Source" form shall mean the preferred form for making modifications,
|
| 28 |
+
including but not limited to software source code, documentation
|
| 29 |
+
source, and configuration files.
|
| 30 |
+
|
| 31 |
+
"Object" form shall mean any form resulting from mechanical
|
| 32 |
+
transformation or translation of a Source form, including but
|
| 33 |
+
not limited to compiled object code, generated documentation,
|
| 34 |
+
and conversions to other media types.
|
| 35 |
+
|
| 36 |
+
"Work" shall mean the work of authorship, whether in Source or
|
| 37 |
+
Object form, made available under the License, as indicated by a
|
| 38 |
+
copyright notice that is included in or attached to the work
|
| 39 |
+
(an example is provided in the Appendix below).
|
| 40 |
+
|
| 41 |
+
"Derivative Works" shall mean any work, whether in Source or Object
|
| 42 |
+
form, that is based on (or derived from) the Work and for which the
|
| 43 |
+
editorial revisions, annotations, elaborations, or other modifications
|
| 44 |
+
represent, as a whole, an original work of authorship. For the purposes
|
| 45 |
+
of this License, Derivative Works shall not include works that remain
|
| 46 |
+
separable from, or merely link (or bind by name) to the interfaces of,
|
| 47 |
+
the Work and Derivative Works thereof.
|
| 48 |
+
|
| 49 |
+
"Contribution" shall mean any work of authorship, including
|
| 50 |
+
the original version of the Work and any modifications or additions
|
| 51 |
+
to that Work or Derivative Works thereof, that is intentionally
|
| 52 |
+
submitted to Licensor for inclusion in the Work by the copyright owner
|
| 53 |
+
or by an individual or Legal Entity authorized to submit on behalf of
|
| 54 |
+
the copyright owner. For the purposes of this definition, "submitted"
|
| 55 |
+
means any form of electronic, verbal, or written communication sent
|
| 56 |
+
to the Licensor or its representatives, including but not limited to
|
| 57 |
+
communication on electronic mailing lists, source code control systems,
|
| 58 |
+
and issue tracking systems that are managed by, or on behalf of, the
|
| 59 |
+
Licensor for the purpose of discussing and improving the Work, but
|
| 60 |
+
excluding communication that is conspicuously marked or otherwise
|
| 61 |
+
designated in writing by the copyright owner as "Not a Contribution."
|
| 62 |
+
|
| 63 |
+
"Contributor" shall mean Licensor and any individual or Legal Entity
|
| 64 |
+
on behalf of whom a Contribution has been received by Licensor and
|
| 65 |
+
subsequently incorporated within the Work.
|
| 66 |
+
|
| 67 |
+
2. Grant of Copyright License. Subject to the terms and conditions of
|
| 68 |
+
this License, each Contributor hereby grants to You a perpetual,
|
| 69 |
+
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
|
| 70 |
+
copyright license to reproduce, prepare Derivative Works of,
|
| 71 |
+
publicly display, publicly perform, sublicense, and distribute the
|
| 72 |
+
Work and such Derivative Works in Source or Object form.
|
| 73 |
+
|
| 74 |
+
3. Grant of Patent License. Subject to the terms and conditions of
|
| 75 |
+
this License, each Contributor hereby grants to You a perpetual,
|
| 76 |
+
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
|
| 77 |
+
(except as stated in this section) patent license to make, have made,
|
| 78 |
+
use, offer to sell, sell, import, and otherwise transfer the Work,
|
| 79 |
+
where such license applies only to those patent claims licensable
|
| 80 |
+
by such Contributor that are necessarily infringed by their
|
| 81 |
+
Contribution(s) alone or by combination of their Contribution(s)
|
| 82 |
+
with the Work to which such Contribution(s) was submitted. If You
|
| 83 |
+
institute patent litigation against any entity (including a
|
| 84 |
+
cross-claim or counterclaim in a lawsuit) alleging that the Work
|
| 85 |
+
or a Contribution incorporated within the Work constitutes direct
|
| 86 |
+
or contributory patent infringement, then any patent licenses
|
| 87 |
+
granted to You under this License for that Work shall terminate
|
| 88 |
+
as of the date such litigation is filed.
|
| 89 |
+
|
| 90 |
+
4. Redistribution. You may reproduce and distribute copies of the
|
| 91 |
+
Work or Derivative Works thereof in any medium, with or without
|
| 92 |
+
modifications, and in Source or Object form, provided that You
|
| 93 |
+
meet the following conditions:
|
| 94 |
+
|
| 95 |
+
(a) You must give any other recipients of the Work or
|
| 96 |
+
Derivative Works a copy of this License; and
|
| 97 |
+
|
| 98 |
+
(b) You must cause any modified files to carry prominent notices
|
| 99 |
+
stating that You changed the files; and
|
| 100 |
+
|
| 101 |
+
(c) You must retain, in the Source form of any Derivative Works
|
| 102 |
+
that You distribute, all copyright, patent, trademark, and
|
| 103 |
+
attribution notices from the Source form of the Work,
|
| 104 |
+
excluding those notices that do not pertain to any part of
|
| 105 |
+
the Derivative Works; and
|
| 106 |
+
|
| 107 |
+
(d) If the Work includes a "NOTICE" text file as part of its
|
| 108 |
+
distribution, then any Derivative Works that You distribute must
|
| 109 |
+
include a readable copy of the attribution notices contained
|
| 110 |
+
within such NOTICE file, excluding those notices that do not
|
| 111 |
+
pertain to any part of the Derivative Works, in at least one
|
| 112 |
+
of the following places: within a NOTICE text file distributed
|
| 113 |
+
as part of the Derivative Works; within the Source form or
|
| 114 |
+
documentation, if provided along with the Derivative Works; or,
|
| 115 |
+
within a display generated by the Derivative Works, if and
|
| 116 |
+
wherever such third-party notices normally appear. The contents
|
| 117 |
+
of the NOTICE file are for informational purposes only and
|
| 118 |
+
do not modify the License. You may add Your own attribution
|
| 119 |
+
notices within Derivative Works that You distribute, alongside
|
| 120 |
+
or as an addendum to the NOTICE text from the Work, provided
|
| 121 |
+
that such additional attribution notices cannot be construed
|
| 122 |
+
as modifying the License.
|
| 123 |
+
|
| 124 |
+
You may add Your own copyright statement to Your modifications and
|
| 125 |
+
may provide additional or different license terms and conditions
|
| 126 |
+
for use, reproduction, or distribution of Your modifications, or
|
| 127 |
+
for any such Derivative Works as a whole, provided Your use,
|
| 128 |
+
reproduction, and distribution of the Work otherwise complies with
|
| 129 |
+
the conditions stated in this License.
|
| 130 |
+
|
| 131 |
+
5. Submission of Contributions. Unless You explicitly state otherwise,
|
| 132 |
+
any Contribution intentionally submitted for inclusion in the Work
|
| 133 |
+
by You to the Licensor shall be under the terms and conditions of
|
| 134 |
+
this License, without any additional terms or conditions.
|
| 135 |
+
Notwithstanding the above, nothing herein shall supersede or modify
|
| 136 |
+
the terms of any separate license agreement you may have executed
|
| 137 |
+
with Licensor regarding such Contributions.
|
| 138 |
+
|
| 139 |
+
6. Trademarks. This License does not grant permission to use the trade
|
| 140 |
+
names, trademarks, service marks, or product names of the Licensor,
|
| 141 |
+
except as required for reasonable and customary use in describing the
|
| 142 |
+
origin of the Work and reproducing the content of the NOTICE file.
|
| 143 |
+
|
| 144 |
+
7. Disclaimer of Warranty. Unless required by applicable law or
|
| 145 |
+
agreed to in writing, Licensor provides the Work (and each
|
| 146 |
+
Contributor provides its Contributions) on an "AS IS" BASIS,
|
| 147 |
+
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
|
| 148 |
+
implied, including, without limitation, any warranties or conditions
|
| 149 |
+
of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
|
| 150 |
+
PARTICULAR PURPOSE. You are solely responsible for determining the
|
| 151 |
+
appropriateness of using or redistributing the Work and assume any
|
| 152 |
+
risks associated with Your exercise of permissions under this License.
|
| 153 |
+
|
| 154 |
+
8. Limitation of Liability. In no event and under no legal theory,
|
| 155 |
+
whether in tort (including negligence), contract, or otherwise,
|
| 156 |
+
unless required by applicable law (such as deliberate and grossly
|
| 157 |
+
negligent acts) or agreed to in writing, shall any Contributor be
|
| 158 |
+
liable to You for damages, including any direct, indirect, special,
|
| 159 |
+
incidental, or consequential damages of any character arising as a
|
| 160 |
+
result of this License or out of the use or inability to use the
|
| 161 |
+
Work (including but not limited to damages for loss of goodwill,
|
| 162 |
+
work stoppage, computer failure or malfunction, or any and all
|
| 163 |
+
other commercial damages or losses), even if such Contributor
|
| 164 |
+
has been advised of the possibility of such damages.
|
| 165 |
+
|
| 166 |
+
9. Accepting Warranty or Additional Liability. While redistributing
|
| 167 |
+
the Work or Derivative Works thereof, You may choose to offer,
|
| 168 |
+
and charge a fee for, acceptance of support, warranty, indemnity,
|
| 169 |
+
or other liability obligations and/or rights consistent with this
|
| 170 |
+
License. However, in accepting such obligations, You may act only
|
| 171 |
+
on Your own behalf and on Your sole responsibility, not on behalf
|
| 172 |
+
of any other Contributor, and only if You agree to indemnify,
|
| 173 |
+
defend, and hold each Contributor harmless for any liability
|
| 174 |
+
incurred by, or claims asserted against, such Contributor by reason
|
| 175 |
+
of your accepting any such warranty or additional liability.
|
| 176 |
+
|
| 177 |
+
END OF TERMS AND CONDITIONS
|
| 178 |
+
|
| 179 |
+
APPENDIX: How to apply the Apache License to your work.
|
| 180 |
+
|
| 181 |
+
To apply the Apache License to your work, attach the following
|
| 182 |
+
boilerplate notice, with the fields enclosed by brackets "[]"
|
| 183 |
+
replaced with your own identifying information. (Don't include
|
| 184 |
+
the brackets!) The text should be enclosed in the appropriate
|
| 185 |
+
comment syntax for the file format. We also recommend that a
|
| 186 |
+
file or class name and description of purpose be included on the
|
| 187 |
+
same "printed page" as the copyright notice for easier
|
| 188 |
+
identification within third-party archives.
|
| 189 |
+
|
| 190 |
+
Original Qwen model:
|
| 191 |
+
Copyright 2026 Alibaba Cloud
|
| 192 |
+
|
| 193 |
+
Fine-tuning and repackaging modifications:
|
| 194 |
+
Copyright 2026 TokenRhythm
|
| 195 |
+
|
| 196 |
+
NeoHorse-1-4B is based on Qwen/Qwen3.5-4B and was modified
|
| 197 |
+
by TokenRhythm through fine-tuning and repackaging.
|
| 198 |
+
|
| 199 |
+
Licensed under the Apache License, Version 2.0 (the "License");
|
| 200 |
+
you may not use this file except in compliance with the License.
|
| 201 |
+
You may obtain a copy of the License at
|
| 202 |
+
|
| 203 |
+
http://www.apache.org/licenses/LICENSE-2.0
|
| 204 |
+
|
| 205 |
+
Unless required by applicable law or agreed to in writing, software
|
| 206 |
+
distributed under the License is distributed on an "AS IS" BASIS,
|
| 207 |
+
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
| 208 |
+
See the License for the specific language governing permissions and
|
| 209 |
+
limitations under the License.
|
README.md
ADDED
|
@@ -0,0 +1,409 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
library_name: mlx
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
base_model: TokenRhythm/NeoHorse-1-4B
|
| 6 |
+
base_model_relation: quantized
|
| 7 |
+
tags:
|
| 8 |
+
- agentic
|
| 9 |
+
- tool-use
|
| 10 |
+
- coding
|
| 11 |
+
- reasoning
|
| 12 |
+
- instruction-following
|
| 13 |
+
- mlx
|
| 14 |
+
- 8-bit
|
| 15 |
+
---
|
| 16 |
+
|
| 17 |
+
## MLX local inference
|
| 18 |
+
|
| 19 |
+
This is the **8-bit MLX** version of [NeoHorse-1-4B](https://huggingface.co/TokenRhythm/NeoHorse-1-4B) for Apple Silicon. Converted from the original BF16 weights with MLX-LM, using affine quantization (group size 64). Benchmark scores below refer to the original model, not a separate evaluation of this quantized version.
|
| 20 |
+
|
| 21 |
+
```bash
|
| 22 |
+
pip install "mlx-lm>=0.31.3"
|
| 23 |
+
mlx_lm.chat --model TokenRhythm/NeoHorse-1-4B-MLX-8bit
|
| 24 |
+
```
|
| 25 |
+
|
| 26 |
+
The model downloads automatically from Hugging Face. The original chat template is preserved. See [Deployment](#deployment) for local checkpoints, the chat API, and tool calling.
|
| 27 |
+
|
| 28 |
+
<div align="center">
|
| 29 |
+
<h1>NeoHorse-1-4B</h1>
|
| 30 |
+
<p><b>Towards Recursive Self-Improvement via Agentic Post-Training with Routing Harness.</b></p>
|
| 31 |
+
</div>
|
| 32 |
+
|
| 33 |
+
<div align="center">
|
| 34 |
+
<a href="https://github.com/TokenRhythm/NeoHorse"><img alt="GitHub" src="https://img.shields.io/badge/GitHub-NeoHorse-181717?logo=github&logoColor=white"></a>
|
| 35 |
+
<a href="https://tokenrhythm.ai/"><img alt="Company" src="https://img.shields.io/badge/Company-TokenRhythm-F97316?logo=homeassistant&logoColor=white"></a>
|
| 36 |
+
<a href="https://huggingface.co/TokenRhythm"><img alt="Hugging Face" src="https://img.shields.io/badge/Hugging%20Face-Models-FFD21E?logo=huggingface&logoColor=000000"></a>
|
| 37 |
+
<a href="https://x.com/opensquilla"><img alt="Twitter / X" src="https://img.shields.io/badge/Twitter%20%2F%20X-OpenSquilla-111827?logo=x&logoColor=white"></a>
|
| 38 |
+
<a href="https://www.apache.org/licenses/LICENSE-2.0"><img alt="License: Apache-2.0" src="https://img.shields.io/badge/License-Apache--2.0-64748B"></a>
|
| 39 |
+
</div>
|
| 40 |
+
|
| 41 |
+
<p align="center">
|
| 42 |
+
<a href="https://arxiv.org/abs/2609.08183"><b>Technical Report</b></a>
|
| 43 |
+
</p>
|
| 44 |
+
|
| 45 |
+
<style>
|
| 46 |
+
/* Reusable benchmark table architecture. Inline styles remain as a fallback for HF rendering. */
|
| 47 |
+
.vl-table {
|
| 48 |
+
width: 100%;
|
| 49 |
+
min-width: 100%;
|
| 50 |
+
border-collapse: collapse;
|
| 51 |
+
table-layout: fixed;
|
| 52 |
+
font-size: 15px;
|
| 53 |
+
}
|
| 54 |
+
.vl-table th {
|
| 55 |
+
font-size: 15px !important;
|
| 56 |
+
line-height: 1.2;
|
| 57 |
+
color: #c2410c;
|
| 58 |
+
background: rgba(249,115,22,.10);
|
| 59 |
+
}
|
| 60 |
+
.vl-table td:not(.benchmark-cell):not([colspan]) {
|
| 61 |
+
font-size: 15px;
|
| 62 |
+
line-height: 1.2;
|
| 63 |
+
vertical-align: middle;
|
| 64 |
+
}
|
| 65 |
+
.vl-table .benchmark-cell {
|
| 66 |
+
padding: 12px 10px 12px 18px !important;
|
| 67 |
+
vertical-align: middle;
|
| 68 |
+
}
|
| 69 |
+
.vl-table .benchmark-capability {
|
| 70 |
+
font-size: 15px;
|
| 71 |
+
font-weight: 600;
|
| 72 |
+
line-height: 1.22;
|
| 73 |
+
color: #c2410c;
|
| 74 |
+
}
|
| 75 |
+
.vl-table .benchmark-name {
|
| 76 |
+
margin-top: 4px;
|
| 77 |
+
font-size: 11px;
|
| 78 |
+
font-weight: 400;
|
| 79 |
+
line-height: 1.2;
|
| 80 |
+
color: inherit;
|
| 81 |
+
}
|
| 82 |
+
.vl-table .metric-stack {
|
| 83 |
+
display: flex;
|
| 84 |
+
flex-direction: column;
|
| 85 |
+
gap: 7px;
|
| 86 |
+
padding: 3px 0;
|
| 87 |
+
}
|
| 88 |
+
.vl-table .metric-label {
|
| 89 |
+
font-size: 10px;
|
| 90 |
+
font-weight: 400;
|
| 91 |
+
line-height: 1.1;
|
| 92 |
+
color: inherit;
|
| 93 |
+
}
|
| 94 |
+
.vl-table .metric-value {
|
| 95 |
+
margin-top: 2px;
|
| 96 |
+
font-size: 15px;
|
| 97 |
+
line-height: 1.15;
|
| 98 |
+
color: inherit;
|
| 99 |
+
}
|
| 100 |
+
.model-table td:first-child {
|
| 101 |
+
width: 34%;
|
| 102 |
+
font-weight: 600;
|
| 103 |
+
}
|
| 104 |
+
/* HF's theme toggle sets the dark class on an ancestor. */
|
| 105 |
+
.dark .vl-table th,
|
| 106 |
+
.dark .vl-table .benchmark-capability {
|
| 107 |
+
color: #fdba74 !important;
|
| 108 |
+
}
|
| 109 |
+
</style>
|
| 110 |
+
|
| 111 |
+
NeoHorse-1-4B is a 4B causal language model and an initial prototype on the path toward **recursive self-improvement (RSI)**. It is post-trained from Qwen3.5-4B for text-based agent harnesses, tool use, coding, and instruction following.
|
| 112 |
+
|
| 113 |
+
Derived from [Qwen/Qwen3.5-4B](https://huggingface.co/Qwen/Qwen3.5-4B) and fine-tuned by TokenRhythm. The source checkpoint was repackaged for text-only inference. This repository contains **language-model weights only**, converted for the MLX runtime with 8-bit affine weight quantization (group size 64).
|
| 114 |
+
|
| 115 |
+
<p align="center">
|
| 116 |
+
<a href="https://huggingface.co/TokenRhythm/NeoHorse-1-4B/resolve/main/4B_head_fig.jpg">
|
| 117 |
+
<img src="https://huggingface.co/TokenRhythm/NeoHorse-1-4B/resolve/main/4B_head_fig.jpg" alt="NeoHorse-1-4B evaluation results" width="100%">
|
| 118 |
+
</a>
|
| 119 |
+
</p>
|
| 120 |
+
|
| 121 |
+
## Highlights
|
| 122 |
+
|
| 123 |
+
- **Path toward RSI:** the routing harness assigns tasks to a heterogeneous model pool, records tool interactions and outcomes, estimates capability demand, and uses capability-level feedback to shape the next training mixture. Updated models can return to the harness, closing a prototype evaluation–selection–update loop; extending this loop across successive iterations is the next step toward RSI.
|
| 124 |
+
- **Agentic post-training framework:** the associated research explores routing-guided curriculum SFT and routing-guided on-policy distillation to turn execution trajectories into training signal while preserving execution and harness context around each response.
|
| 125 |
+
- **Data quality:** exact and near-duplicate removal, evaluation decontamination, structural validation, six-dimensional semantic evaluation, and subscene-level Scene/Goal/Outcome labeling.
|
| 126 |
+
- **Broad gains:** 64.87 macro average across ten benchmarks versus 58.94 for Qwen3.5-4B (**+5.93**).
|
| 127 |
+
|
| 128 |
+
## Model Details
|
| 129 |
+
|
| 130 |
+
<div style="width:100%;max-width:none;margin:16px 0;padding:0;overflow-x:auto">
|
| 131 |
+
<table class="vl-table model-table" width="100%" style="display:table;width:100%;min-width:100%;table-layout:fixed;border-collapse:collapse;font-size:13px">
|
| 132 |
+
<thead><tr>
|
| 133 |
+
<th style="padding:9px 10px;text-align:left;border-bottom:2px solid #f97316;color:#c2410c;background:rgba(249,115,22,.10)">Property</th>
|
| 134 |
+
<th style="padding:9px 10px;text-align:left;border-bottom:2px solid #f97316;color:#c2410c;background:rgba(249,115,22,.10)">Value</th>
|
| 135 |
+
</tr></thead><tbody>
|
| 136 |
+
<tr>
|
| 137 |
+
<td style="padding:9px 10px;border-bottom:1px solid rgba(249,115,22,.16);font-weight:600">Model family</td>
|
| 138 |
+
<td style="padding:9px 10px;border-bottom:1px solid rgba(249,115,22,.16)">NeoHorse Agent-Native Causal Language Model</td>
|
| 139 |
+
</tr>
|
| 140 |
+
<tr>
|
| 141 |
+
<td style="padding:9px 10px;border-bottom:1px solid rgba(249,115,22,.16);font-weight:600">Parameters</td>
|
| 142 |
+
<td style="padding:9px 10px;border-bottom:1px solid rgba(249,115,22,.16)">Approximately <strong>4B</strong></td>
|
| 143 |
+
</tr>
|
| 144 |
+
<tr>
|
| 145 |
+
<td style="padding:9px 10px;border-bottom:1px solid rgba(249,115,22,.16);font-weight:600">Base model</td>
|
| 146 |
+
<td style="padding:9px 10px;border-bottom:1px solid rgba(249,115,22,.16)"><a href="https://huggingface.co/Qwen/Qwen3.5-4B">Qwen3.5-4B</a></td>
|
| 147 |
+
</tr>
|
| 148 |
+
<tr>
|
| 149 |
+
<td style="padding:9px 10px;border-bottom:1px solid rgba(249,115,22,.16);font-weight:600">Post-training</td>
|
| 150 |
+
<td style="padding:9px 10px;border-bottom:1px solid rgba(249,115,22,.16)">Routing-guided agentic post-training</td>
|
| 151 |
+
</tr>
|
| 152 |
+
<tr>
|
| 153 |
+
<td style="padding:9px 10px;border-bottom:1px solid rgba(249,115,22,.16);font-weight:600">Interface</td>
|
| 154 |
+
<td style="padding:9px 10px;border-bottom:1px solid rgba(249,115,22,.16)">Text input and text output</td>
|
| 155 |
+
</tr>
|
| 156 |
+
<tr>
|
| 157 |
+
<td style="padding:9px 10px;border-bottom:1px solid rgba(249,115,22,.16);font-weight:600">Context length</td>
|
| 158 |
+
<td style="padding:9px 10px;border-bottom:1px solid rgba(249,115,22,.16)">262,144 natively and extensible up to 1,010,000 tokens.</td>
|
| 159 |
+
</tr>
|
| 160 |
+
<tr>
|
| 161 |
+
<td style="padding:9px 10px;border-bottom:1px solid rgba(249,115,22,.16);font-weight:600">Weight format / precision</td>
|
| 162 |
+
<td style="padding:9px 10px;border-bottom:1px solid rgba(249,115,22,.16)">MLX Safetensors / 8-bit affine (group size 64)</td>
|
| 163 |
+
</tr>
|
| 164 |
+
</tbody></table>
|
| 165 |
+
</div>
|
| 166 |
+
|
| 167 |
+
## Evaluation
|
| 168 |
+
The 4B track compares NeoHorse-1-4B with five representative open-weight models. Results are grouped by capability in the table below. Higher is better; `Δ` is NeoHorse-1-4B minus Qwen3.5-4B. **Bold** marks the best available result; <ins>underlining</ins> marks the second-best.
|
| 169 |
+
|
| 170 |
+
<div style="overflow-x:auto">
|
| 171 |
+
<table class="vl-table" width="100%" style="display:table;width:100%;min-width:100%;border-collapse:collapse;table-layout:fixed;font-size:13px">
|
| 172 |
+
<thead><tr>
|
| 173 |
+
<th style="padding:9px 8px;text-align:center;border-bottom:2px solid #f97316;color:#c2410c;background:rgba(249,115,22,.10);text-align:left">Benchmark</th>
|
| 174 |
+
<th style="padding:9px 8px;text-align:center;border-bottom:2px solid #f97316;color:#c2410c;background:rgba(249,115,22,.10)">Qwen3.5-4B</th>
|
| 175 |
+
<th style="padding:9px 8px;text-align:center;border-bottom:2px solid #f97316;color:#c2410c;background:rgba(249,115,22,.10)">Gemma-4-E4B-it</th>
|
| 176 |
+
<th style="padding:9px 8px;text-align:center;border-bottom:2px solid #f97316;color:#c2410c;background:rgba(249,115,22,.10)">Nanbeige-4.2-3B</th>
|
| 177 |
+
<th style="padding:9px 8px;text-align:center;border-bottom:2px solid #f97316;color:#c2410c;background:rgba(249,115,22,.10)">Agents-A1-4B</th>
|
| 178 |
+
<th style="padding:9px 8px;text-align:center;border-bottom:2px solid #f97316;color:#c2410c;background:rgba(249,115,22,.10)">Spark-X2.5-4B</th>
|
| 179 |
+
<th style="padding:9px 8px;text-align:center;border-bottom:2px solid #f97316;color:#c2410c;background:rgba(249,115,22,.10);background:rgba(249,115,22,.18)">NeoHorse-1-4B</th>
|
| 180 |
+
<th style="padding:9px 8px;text-align:center;border-bottom:2px solid #f97316;color:#c2410c;background:rgba(249,115,22,.10);background:rgba(249,115,22,.18)">Δ vs Qwen3.5-4B</th>
|
| 181 |
+
</tr></thead><tbody>
|
| 182 |
+
<tr><td class="benchmark-capability" colspan="8" style="padding:10px 8px;font-weight:700;color:#c2410c;background:rgba(249,115,22,.10);border-top:2px solid #f97316">🤖 Agentic</td></tr>
|
| 183 |
+
<tr style="border-bottom:1px solid rgba(128,128,128,.16)">
|
| 184 |
+
<td class="benchmark-cell" style="padding:8px;font-weight:600"><div class="benchmark-name">QwenClawBench</div></td>
|
| 185 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">38.47</span></div></td>
|
| 186 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">22.98</span></div></td>
|
| 187 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">40.66</span></div></td>
|
| 188 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">43.16</span></div></td>
|
| 189 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value"><ins>43.52</ins></span></div></td>
|
| 190 |
+
<td style="padding:8px;text-align:center;background:rgba(249,115,22,.16);font-weight:700"><div class="metric-stack"><span class="metric-value"><strong>44.68</strong></span></div></td>
|
| 191 |
+
<td style="padding:8px;text-align:center;background:rgba(249,115,22,.16);font-weight:700"><div class="metric-stack"><span class="metric-value">+6.21</span></div></td>
|
| 192 |
+
</tr>
|
| 193 |
+
<tr style="border-bottom:1px solid rgba(128,128,128,.16)">
|
| 194 |
+
<td class="benchmark-cell" style="padding:8px;font-weight:600"><div class="benchmark-name">WorkBuddy Bench</div></td>
|
| 195 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">24.62</span></div></td>
|
| 196 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">11.65</span></div></td>
|
| 197 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">21.03</span></div></td>
|
| 198 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value"><ins>33.37</ins></span></div></td>
|
| 199 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">26.47</span></div></td>
|
| 200 |
+
<td style="padding:8px;text-align:center;background:rgba(249,115,22,.16);font-weight:700"><div class="metric-stack"><span class="metric-value"><strong>34.41</strong></span></div></td>
|
| 201 |
+
<td style="padding:8px;text-align:center;background:rgba(249,115,22,.16);font-weight:700"><div class="metric-stack"><span class="metric-value">+9.79</span></div></td>
|
| 202 |
+
</tr>
|
| 203 |
+
<tr style="border-bottom:1px solid rgba(128,128,128,.16)">
|
| 204 |
+
<td class="benchmark-cell" style="padding:8px;font-weight:600"><div class="benchmark-name">PinchBench</div></td>
|
| 205 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">71.19</span></div></td>
|
| 206 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">47.60</span></div></td>
|
| 207 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">66.78</span></div></td>
|
| 208 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value"><ins>75.07</ins></span></div></td>
|
| 209 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">62.37</span></div></td>
|
| 210 |
+
<td style="padding:8px;text-align:center;background:rgba(249,115,22,.16);font-weight:700"><div class="metric-stack"><span class="metric-value"><strong>77.33</strong></span></div></td>
|
| 211 |
+
<td style="padding:8px;text-align:center;background:rgba(249,115,22,.16);font-weight:700"><div class="metric-stack"><span class="metric-value">+6.14</span></div></td>
|
| 212 |
+
</tr>
|
| 213 |
+
<tr style="border-bottom:1px solid rgba(128,128,128,.16)">
|
| 214 |
+
<td class="benchmark-cell" style="padding:8px;font-weight:600"><div class="benchmark-name">VitaBench</div></td>
|
| 215 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">21.50</span></div></td>
|
| 216 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">5.00</span></div></td>
|
| 217 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">31.50</span></div></td>
|
| 218 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value"><strong>39.25</strong></span></div></td>
|
| 219 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value"><ins>37.00</ins></span></div></td>
|
| 220 |
+
<td style="padding:8px;text-align:center;background:rgba(249,115,22,.16);font-weight:700"><div class="metric-stack"><span class="metric-value">32.00</span></div></td>
|
| 221 |
+
<td style="padding:8px;text-align:center;background:rgba(249,115,22,.16);font-weight:700"><div class="metric-stack"><span class="metric-value">+10.50</span></div></td>
|
| 222 |
+
</tr>
|
| 223 |
+
<tr style="border-bottom:1px solid rgba(128,128,128,.16)">
|
| 224 |
+
<td class="benchmark-cell" style="padding:8px;font-weight:600"><div class="benchmark-name">BFCL v4</div></td>
|
| 225 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">61.02</span></div></td>
|
| 226 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">47.18</span></div></td>
|
| 227 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value"><strong>67.28</strong></span></div></td>
|
| 228 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">46.60</span></div></td>
|
| 229 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value"><ins>63.71</ins></span></div></td>
|
| 230 |
+
<td style="padding:8px;text-align:center;background:rgba(249,115,22,.16);font-weight:700"><div class="metric-stack"><span class="metric-value">61.79</span></div></td>
|
| 231 |
+
<td style="padding:8px;text-align:center;background:rgba(249,115,22,.16);font-weight:700"><div class="metric-stack"><span class="metric-value">+0.77</span></div></td>
|
| 232 |
+
</tr>
|
| 233 |
+
<tr style="border-bottom:1px solid rgba(128,128,128,.16)">
|
| 234 |
+
<td class="benchmark-cell" style="padding:8px;font-weight:600"><div class="benchmark-name">tau2-Bench</div></td>
|
| 235 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">84.29</span></div></td>
|
| 236 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">43.60</span></div></td>
|
| 237 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value"><ins>85.08</ins></span></div></td>
|
| 238 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">81.00</span></div></td>
|
| 239 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">77.72</span></div></td>
|
| 240 |
+
<td style="padding:8px;text-align:center;background:rgba(249,115,22,.16);font-weight:700"><div class="metric-stack"><span class="metric-value"><strong>88.46</strong></span></div></td>
|
| 241 |
+
<td style="padding:8px;text-align:center;background:rgba(249,115,22,.16);font-weight:700"><div class="metric-stack"><span class="metric-value">+4.17</span></div></td>
|
| 242 |
+
</tr>
|
| 243 |
+
<tr><td class="benchmark-capability" colspan="8" style="padding:10px 8px;font-weight:700;color:#c2410c;background:rgba(249,115,22,.10);border-top:2px solid #f97316">💻 Coding</td></tr>
|
| 244 |
+
<tr style="border-bottom:1px solid rgba(128,128,128,.16)">
|
| 245 |
+
<td class="benchmark-cell" style="padding:8px;font-weight:600"><div class="benchmark-name">HumanEval</div></td>
|
| 246 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">87.20</span></div></td>
|
| 247 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">84.76</span></div></td>
|
| 248 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value"><strong>98.78</strong></span></div></td>
|
| 249 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">92.68</span></div></td>
|
| 250 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">92.07</span></div></td>
|
| 251 |
+
<td style="padding:8px;text-align:center;background:rgba(249,115,22,.16);font-weight:700"><div class="metric-stack"><span class="metric-value"><ins>96.95</ins></span></div></td>
|
| 252 |
+
<td style="padding:8px;text-align:center;background:rgba(249,115,22,.16);font-weight:700"><div class="metric-stack"><span class="metric-value">+9.75</span></div></td>
|
| 253 |
+
</tr>
|
| 254 |
+
<tr style="border-bottom:1px solid rgba(128,128,128,.16)">
|
| 255 |
+
<td class="benchmark-cell" style="padding:8px;font-weight:600"><div class="benchmark-name">LiveCodeBench v6</div></td>
|
| 256 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">53.71</span></div></td>
|
| 257 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">52.00</span></div></td>
|
| 258 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value"><strong>72.50<sup>*</sup></strong></span></div></td>
|
| 259 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">56.57</span></div></td>
|
| 260 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">54.86</span></div></td>
|
| 261 |
+
<td style="padding:8px;text-align:center;background:rgba(249,115,22,.16);font-weight:700"><div class="metric-stack"><span class="metric-value"><ins>59.43</ins></span></div></td>
|
| 262 |
+
<td style="padding:8px;text-align:center;background:rgba(249,115,22,.16);font-weight:700"><div class="metric-stack"><span class="metric-value">+5.72</span></div></td>
|
| 263 |
+
</tr>
|
| 264 |
+
<tr><td class="benchmark-capability" colspan="8" style="padding:10px 8px;font-weight:700;color:#c2410c;background:rgba(249,115,22,.10);border-top:2px solid #f97316">📚 Instruction Following</td></tr>
|
| 265 |
+
<tr style="border-bottom:1px solid rgba(128,128,128,.16)">
|
| 266 |
+
<td class="benchmark-cell" style="padding:8px;font-weight:600"><div class="benchmark-name">IFBench</div></td>
|
| 267 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">60.33</span></div></td>
|
| 268 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">40.00</span></div></td>
|
| 269 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">55.00</span></div></td>
|
| 270 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">63.33</span></div></td>
|
| 271 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value"><strong>73.33</strong></span></div></td>
|
| 272 |
+
<td style="padding:8px;text-align:center;background:rgba(249,115,22,.16);font-weight:700"><div class="metric-stack"><span class="metric-value"><ins>65.33</ins></span></div></td>
|
| 273 |
+
<td style="padding:8px;text-align:center;background:rgba(249,115,22,.16);font-weight:700"><div class="metric-stack"><span class="metric-value">+5.00</span></div></td>
|
| 274 |
+
</tr>
|
| 275 |
+
<tr style="border-bottom:1px solid rgba(128,128,128,.16)">
|
| 276 |
+
<td class="benchmark-cell" style="padding:8px;font-weight:600"><div class="benchmark-name">IFEval</div></td>
|
| 277 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">87.06</span></div></td>
|
| 278 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">74.68</span></div></td>
|
| 279 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">84.47</span></div></td>
|
| 280 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">83.55</span></div></td>
|
| 281 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value"><strong>91.13</strong></span></div></td>
|
| 282 |
+
<td style="padding:8px;text-align:center;background:rgba(249,115,22,.16);font-weight:700"><div class="metric-stack"><span class="metric-value"><ins>88.35</ins></span></div></td>
|
| 283 |
+
<td style="padding:8px;text-align:center;background:rgba(249,115,22,.16);font-weight:700"><div class="metric-stack"><span class="metric-value">+1.29</span></div></td>
|
| 284 |
+
</tr>
|
| 285 |
+
<tr><td class="benchmark-capability" colspan="8" style="padding:10px 8px;font-weight:700;color:#c2410c;background:rgba(249,115,22,.10);border-top:2px solid #f97316">📊 Overall</td></tr>
|
| 286 |
+
<tr style="border-bottom:1px solid rgba(128,128,128,.16)">
|
| 287 |
+
<td class="benchmark-cell" style="padding:8px;font-weight:600"><div class="benchmark-name">Ten-benchmark average</div></td>
|
| 288 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">58.94</span></div></td>
|
| 289 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">42.95</span></div></td>
|
| 290 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value"><ins>62.31</ins></span></div></td>
|
| 291 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">61.46</span></div></td>
|
| 292 |
+
<td style="padding:8px;text-align:center"><div class="metric-stack"><span class="metric-value">62.22</span></div></td>
|
| 293 |
+
<td style="padding:8px;text-align:center;background:rgba(249,115,22,.16);font-weight:700"><div class="metric-stack"><span class="metric-value"><strong>64.87</strong></span></div></td>
|
| 294 |
+
<td style="padding:8px;text-align:center;background:rgba(249,115,22,.16);font-weight:700"><div class="metric-stack"><span class="metric-value">+5.93</span></div></td>
|
| 295 |
+
</tr>
|
| 296 |
+
</tbody></table>
|
| 297 |
+
</div>
|
| 298 |
+
|
| 299 |
+
`*` Nanbeige-4.2-3B LiveCodeBench v6 result is reported in the corresponding model's official blog post or technical report.
|
| 300 |
+
|
| 301 |
+
> **Reported protocol:** SGLang v0.5.17 · `temperature=1.0` · `top_p=0.95` · `top_k=20` · `min_p=0.0` · `presence_penalty=1.5` · `repetition_penalty=1.0` · thinking mode enabled with `enable_thinking=true` and `force_nonempty_content=true`. QwenClawBench, WorkBuddy Bench, and tau2-Bench use three runs; PinchBench and VitaBench use one run; the remaining benchmarks follow their official protocols. VitaBench uses the DeepSeek-V4-Flash simulator and judge.
|
| 302 |
+
|
| 303 |
+
## Deployment
|
| 304 |
+
|
| 305 |
+
Use [MLX-LM](https://github.com/ml-explore/mlx-lm) on an Apple Silicon Mac to run this checkpoint.
|
| 306 |
+
|
| 307 |
+
### Install and select a local checkpoint
|
| 308 |
+
|
| 309 |
+
```bash
|
| 310 |
+
pip install "mlx-lm>=0.31.3"
|
| 311 |
+
MODEL_PATH="/path/to/NeoHorse-1-4B-MLX-8bit"
|
| 312 |
+
```
|
| 313 |
+
|
| 314 |
+
Set `MODEL_PATH` to the downloaded MLX directory containing `config.json`, tokenizer files, `chat_template.jinja`, and model weights. You can also use `TokenRhythm/NeoHorse-1-4B-MLX-8bit` as the model path to download it automatically from Hugging Face.
|
| 315 |
+
|
| 316 |
+
### Chat locally
|
| 317 |
+
|
| 318 |
+
```bash
|
| 319 |
+
mlx_lm.chat --model "$MODEL_PATH"
|
| 320 |
+
```
|
| 321 |
+
|
| 322 |
+
### Start an API server
|
| 323 |
+
|
| 324 |
+
```bash
|
| 325 |
+
mlx_lm.server \
|
| 326 |
+
--model "$MODEL_PATH" \
|
| 327 |
+
--host 127.0.0.1 \
|
| 328 |
+
--port 8080
|
| 329 |
+
```
|
| 330 |
+
|
| 331 |
+
The server exposes an OpenAI-compatible `/v1/chat/completions` endpoint. In the requests below, `default_model` refers to the checkpoint selected with `--model`.
|
| 332 |
+
|
| 333 |
+
### Basic Usage
|
| 334 |
+
|
| 335 |
+
After the server starts, run this request in another terminal:
|
| 336 |
+
|
| 337 |
+
```bash
|
| 338 |
+
curl http://127.0.0.1:8080/v1/chat/completions \
|
| 339 |
+
-H 'Content-Type: application/json' \
|
| 340 |
+
-d '{
|
| 341 |
+
"model": "default_model",
|
| 342 |
+
"messages": [
|
| 343 |
+
{"role": "user", "content": "Write a Python function that returns the first n Fibonacci numbers."}
|
| 344 |
+
],
|
| 345 |
+
"max_tokens": 2048,
|
| 346 |
+
"stream": false
|
| 347 |
+
}'
|
| 348 |
+
```
|
| 349 |
+
|
| 350 |
+
The generated reply is returned in `choices[0].message.content`.
|
| 351 |
+
|
| 352 |
+
### Tool Calling
|
| 353 |
+
|
| 354 |
+
Pass function definitions in the `tools` field:
|
| 355 |
+
|
| 356 |
+
```bash
|
| 357 |
+
curl http://127.0.0.1:8080/v1/chat/completions \
|
| 358 |
+
-H 'Content-Type: application/json' \
|
| 359 |
+
-d '{
|
| 360 |
+
"model": "default_model",
|
| 361 |
+
"messages": [
|
| 362 |
+
{"role": "user", "content": "Use get_weather to check the current weather in Beijing in celsius."}
|
| 363 |
+
],
|
| 364 |
+
"tools": [
|
| 365 |
+
{
|
| 366 |
+
"type": "function",
|
| 367 |
+
"function": {
|
| 368 |
+
"name": "get_weather",
|
| 369 |
+
"description": "Get the current weather for a city.",
|
| 370 |
+
"parameters": {
|
| 371 |
+
"type": "object",
|
| 372 |
+
"properties": {
|
| 373 |
+
"city": {"type": "string", "description": "City name."},
|
| 374 |
+
"unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}
|
| 375 |
+
},
|
| 376 |
+
"required": ["city", "unit"]
|
| 377 |
+
}
|
| 378 |
+
}
|
| 379 |
+
}
|
| 380 |
+
],
|
| 381 |
+
"max_tokens": 2048,
|
| 382 |
+
"stream": false
|
| 383 |
+
}'
|
| 384 |
+
```
|
| 385 |
+
|
| 386 |
+
MLX-LM reads the preserved chat template to format tool requests and parse generated calls. When the model chooses to call a tool, the call is returned in `choices[0].message.tool_calls`. Your application executes the function, appends the assistant message and a `role: "tool"` result with the matching `tool_call_id`, then sends the conversation back to the same endpoint for the final answer.
|
| 387 |
+
|
| 388 |
+
## License
|
| 389 |
+
|
| 390 |
+
NeoHorse-1-4B is released under the **Apache License 2.0**.
|
| 391 |
+
|
| 392 |
+
The upstream model is [Qwen/Qwen3.5-4B](https://huggingface.co/Qwen/Qwen3.5-4B). Its original copyright notice, Copyright 2026 Alibaba Cloud, is retained in the license file. TokenRhythm fine-tuned and repackaged the source checkpoint for text-only inference. This repository provides its MLX conversion with 8-bit affine weight quantization (group size 64).
|
| 393 |
+
|
| 394 |
+
## Citation
|
| 395 |
+
|
| 396 |
+
```
|
| 397 |
+
@misc{neohorse2026,
|
| 398 |
+
title = {NeoHorse-1: Towards Recursive Self-Improvement via Agentic Post-Training with Routing Harness},
|
| 399 |
+
author = {NeoHorse Team},
|
| 400 |
+
year = {2026},
|
| 401 |
+
howpublished = {arXiv preprint},
|
| 402 |
+
eprint = {2609.08183},
|
| 403 |
+
archivePrefix = {arXiv},
|
| 404 |
+
primaryClass = {cs.CL},
|
| 405 |
+
url = {https://arxiv.org/abs/2609.08183}
|
| 406 |
+
}
|
| 407 |
+
```
|
| 408 |
+
|
| 409 |
+
For questions or issue reports, use the [NeoHorse project repository](https://github.com/TokenRhythm/NeoHorse).
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,154 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- set image_count = namespace(value=0) %}
|
| 2 |
+
{%- set video_count = namespace(value=0) %}
|
| 3 |
+
{%- macro render_content(content, do_vision_count, is_system_content=false) %}
|
| 4 |
+
{%- if content is string %}
|
| 5 |
+
{{- content }}
|
| 6 |
+
{%- elif content is iterable and content is not mapping %}
|
| 7 |
+
{%- for item in content %}
|
| 8 |
+
{%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
|
| 9 |
+
{%- if is_system_content %}
|
| 10 |
+
{{- raise_exception('System message cannot contain images.') }}
|
| 11 |
+
{%- endif %}
|
| 12 |
+
{%- if do_vision_count %}
|
| 13 |
+
{%- set image_count.value = image_count.value + 1 %}
|
| 14 |
+
{%- endif %}
|
| 15 |
+
{%- if add_vision_id %}
|
| 16 |
+
{{- 'Picture ' ~ image_count.value ~ ': ' }}
|
| 17 |
+
{%- endif %}
|
| 18 |
+
{{- '<|vision_start|><|image_pad|><|vision_end|>' }}
|
| 19 |
+
{%- elif 'video' in item or item.type == 'video' %}
|
| 20 |
+
{%- if is_system_content %}
|
| 21 |
+
{{- raise_exception('System message cannot contain videos.') }}
|
| 22 |
+
{%- endif %}
|
| 23 |
+
{%- if do_vision_count %}
|
| 24 |
+
{%- set video_count.value = video_count.value + 1 %}
|
| 25 |
+
{%- endif %}
|
| 26 |
+
{%- if add_vision_id %}
|
| 27 |
+
{{- 'Video ' ~ video_count.value ~ ': ' }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{{- '<|vision_start|><|video_pad|><|vision_end|>' }}
|
| 30 |
+
{%- elif 'text' in item %}
|
| 31 |
+
{{- item.text }}
|
| 32 |
+
{%- else %}
|
| 33 |
+
{{- raise_exception('Unexpected item type in content.') }}
|
| 34 |
+
{%- endif %}
|
| 35 |
+
{%- endfor %}
|
| 36 |
+
{%- elif content is none or content is undefined %}
|
| 37 |
+
{{- '' }}
|
| 38 |
+
{%- else %}
|
| 39 |
+
{{- raise_exception('Unexpected content type.') }}
|
| 40 |
+
{%- endif %}
|
| 41 |
+
{%- endmacro %}
|
| 42 |
+
{%- if not messages %}
|
| 43 |
+
{{- raise_exception('No messages provided.') }}
|
| 44 |
+
{%- endif %}
|
| 45 |
+
{%- if tools and tools is iterable and tools is not mapping %}
|
| 46 |
+
{{- '<|im_start|>system\n' }}
|
| 47 |
+
{{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
|
| 48 |
+
{%- for tool in tools %}
|
| 49 |
+
{{- "\n" }}
|
| 50 |
+
{{- tool | tojson }}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{{- "\n</tools>" }}
|
| 53 |
+
{{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
|
| 54 |
+
{%- if messages[0].role == 'system' %}
|
| 55 |
+
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 56 |
+
{%- if content %}
|
| 57 |
+
{{- '\n\n' + content }}
|
| 58 |
+
{%- endif %}
|
| 59 |
+
{%- endif %}
|
| 60 |
+
{{- '<|im_end|>\n' }}
|
| 61 |
+
{%- else %}
|
| 62 |
+
{%- if messages[0].role == 'system' %}
|
| 63 |
+
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 64 |
+
{{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
|
| 65 |
+
{%- endif %}
|
| 66 |
+
{%- endif %}
|
| 67 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 68 |
+
{%- for message in messages[::-1] %}
|
| 69 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 70 |
+
{%- if ns.multi_step_tool and message.role == "user" %}
|
| 71 |
+
{%- set content = render_content(message.content, false)|trim %}
|
| 72 |
+
{%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
|
| 73 |
+
{%- set ns.multi_step_tool = false %}
|
| 74 |
+
{%- set ns.last_query_index = index %}
|
| 75 |
+
{%- endif %}
|
| 76 |
+
{%- endif %}
|
| 77 |
+
{%- endfor %}
|
| 78 |
+
{%- if ns.multi_step_tool %}
|
| 79 |
+
{{- raise_exception('No user query found in messages.') }}
|
| 80 |
+
{%- endif %}
|
| 81 |
+
{%- for message in messages %}
|
| 82 |
+
{%- set content = render_content(message.content, true)|trim %}
|
| 83 |
+
{%- if message.role == "system" %}
|
| 84 |
+
{%- if not loop.first %}
|
| 85 |
+
{{- raise_exception('System message must be at the beginning.') }}
|
| 86 |
+
{%- endif %}
|
| 87 |
+
{%- elif message.role == "user" %}
|
| 88 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 89 |
+
{%- elif message.role == "assistant" %}
|
| 90 |
+
{%- set reasoning_content = '' %}
|
| 91 |
+
{%- if message.reasoning_content is string %}
|
| 92 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 93 |
+
{%- else %}
|
| 94 |
+
{%- if '</think>' in content %}
|
| 95 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 96 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 97 |
+
{%- endif %}
|
| 98 |
+
{%- endif %}
|
| 99 |
+
{%- set reasoning_content = reasoning_content|trim %}
|
| 100 |
+
{%- if loop.index0 > ns.last_query_index %}
|
| 101 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
|
| 102 |
+
{%- else %}
|
| 103 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 104 |
+
{%- endif %}
|
| 105 |
+
{%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
|
| 106 |
+
{%- for tool_call in message.tool_calls %}
|
| 107 |
+
{%- if tool_call.function is defined %}
|
| 108 |
+
{%- set tool_call = tool_call.function %}
|
| 109 |
+
{%- endif %}
|
| 110 |
+
{%- if loop.first %}
|
| 111 |
+
{%- if content|trim %}
|
| 112 |
+
{{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 113 |
+
{%- else %}
|
| 114 |
+
{{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 115 |
+
{%- endif %}
|
| 116 |
+
{%- else %}
|
| 117 |
+
{{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 118 |
+
{%- endif %}
|
| 119 |
+
{%- if tool_call.arguments is defined %}
|
| 120 |
+
{%- for args_name, args_value in tool_call.arguments|items %}
|
| 121 |
+
{{- '<parameter=' + args_name + '>\n' }}
|
| 122 |
+
{%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
|
| 123 |
+
{{- args_value }}
|
| 124 |
+
{{- '\n</parameter>\n' }}
|
| 125 |
+
{%- endfor %}
|
| 126 |
+
{%- endif %}
|
| 127 |
+
{{- '</function>\n</tool_call>' }}
|
| 128 |
+
{%- endfor %}
|
| 129 |
+
{%- endif %}
|
| 130 |
+
{{- '<|im_end|>\n' }}
|
| 131 |
+
{%- elif message.role == "tool" %}
|
| 132 |
+
{%- if loop.previtem and loop.previtem.role != "tool" %}
|
| 133 |
+
{{- '<|im_start|>user' }}
|
| 134 |
+
{%- endif %}
|
| 135 |
+
{{- '\n<tool_response>\n' }}
|
| 136 |
+
{{- content }}
|
| 137 |
+
{{- '\n</tool_response>' }}
|
| 138 |
+
{%- if not loop.last and loop.nextitem.role != "tool" %}
|
| 139 |
+
{{- '<|im_end|>\n' }}
|
| 140 |
+
{%- elif loop.last %}
|
| 141 |
+
{{- '<|im_end|>\n' }}
|
| 142 |
+
{%- endif %}
|
| 143 |
+
{%- else %}
|
| 144 |
+
{{- raise_exception('Unexpected message role.') }}
|
| 145 |
+
{%- endif %}
|
| 146 |
+
{%- endfor %}
|
| 147 |
+
{%- if add_generation_prompt %}
|
| 148 |
+
{{- '<|im_start|>assistant\n' }}
|
| 149 |
+
{%- if enable_thinking is defined and enable_thinking is false %}
|
| 150 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 151 |
+
{%- else %}
|
| 152 |
+
{{- '<think>\n' }}
|
| 153 |
+
{%- endif %}
|
| 154 |
+
{%- endif %}
|
config.json
ADDED
|
@@ -0,0 +1,94 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"attn_output_gate": true,
|
| 8 |
+
"dtype": "bfloat16",
|
| 9 |
+
"eos_token_id": [
|
| 10 |
+
248044,
|
| 11 |
+
248046
|
| 12 |
+
],
|
| 13 |
+
"full_attention_interval": 4,
|
| 14 |
+
"head_dim": 256,
|
| 15 |
+
"hidden_act": "silu",
|
| 16 |
+
"hidden_size": 2560,
|
| 17 |
+
"initializer_range": 0.02,
|
| 18 |
+
"intermediate_size": 9216,
|
| 19 |
+
"layer_types": [
|
| 20 |
+
"linear_attention",
|
| 21 |
+
"linear_attention",
|
| 22 |
+
"linear_attention",
|
| 23 |
+
"full_attention",
|
| 24 |
+
"linear_attention",
|
| 25 |
+
"linear_attention",
|
| 26 |
+
"linear_attention",
|
| 27 |
+
"full_attention",
|
| 28 |
+
"linear_attention",
|
| 29 |
+
"linear_attention",
|
| 30 |
+
"linear_attention",
|
| 31 |
+
"full_attention",
|
| 32 |
+
"linear_attention",
|
| 33 |
+
"linear_attention",
|
| 34 |
+
"linear_attention",
|
| 35 |
+
"full_attention",
|
| 36 |
+
"linear_attention",
|
| 37 |
+
"linear_attention",
|
| 38 |
+
"linear_attention",
|
| 39 |
+
"full_attention",
|
| 40 |
+
"linear_attention",
|
| 41 |
+
"linear_attention",
|
| 42 |
+
"linear_attention",
|
| 43 |
+
"full_attention",
|
| 44 |
+
"linear_attention",
|
| 45 |
+
"linear_attention",
|
| 46 |
+
"linear_attention",
|
| 47 |
+
"full_attention",
|
| 48 |
+
"linear_attention",
|
| 49 |
+
"linear_attention",
|
| 50 |
+
"linear_attention",
|
| 51 |
+
"full_attention"
|
| 52 |
+
],
|
| 53 |
+
"linear_conv_kernel_dim": 4,
|
| 54 |
+
"linear_key_head_dim": 128,
|
| 55 |
+
"linear_num_key_heads": 16,
|
| 56 |
+
"linear_num_value_heads": 32,
|
| 57 |
+
"linear_value_head_dim": 128,
|
| 58 |
+
"mamba_ssm_dtype": "float32",
|
| 59 |
+
"max_position_embeddings": 262144,
|
| 60 |
+
"mlp_only_layers": [],
|
| 61 |
+
"model_type": "qwen3_5",
|
| 62 |
+
"modification_notice": "Modified by TokenRhythm: language-model weights fine-tuned from Qwen/Qwen3.5-4B; repackaged for text-only inference by changing config and tensor key prefixes. Tensor values are unchanged by repackaging. Original model: Copyright 2026 Alibaba Cloud.",
|
| 63 |
+
"mtp_num_hidden_layers": 1,
|
| 64 |
+
"mtp_use_dedicated_embeddings": false,
|
| 65 |
+
"num_attention_heads": 16,
|
| 66 |
+
"num_hidden_layers": 32,
|
| 67 |
+
"num_key_value_heads": 4,
|
| 68 |
+
"quantization": {
|
| 69 |
+
"group_size": 64,
|
| 70 |
+
"bits": 8,
|
| 71 |
+
"mode": "affine"
|
| 72 |
+
},
|
| 73 |
+
"quantization_config": {
|
| 74 |
+
"group_size": 64,
|
| 75 |
+
"bits": 8,
|
| 76 |
+
"mode": "affine"
|
| 77 |
+
},
|
| 78 |
+
"rms_norm_eps": 1e-06,
|
| 79 |
+
"rope_parameters": {
|
| 80 |
+
"mrope_interleaved": true,
|
| 81 |
+
"mrope_section": [
|
| 82 |
+
11,
|
| 83 |
+
11,
|
| 84 |
+
10
|
| 85 |
+
],
|
| 86 |
+
"rope_theta": 10000000,
|
| 87 |
+
"partial_rotary_factor": 0.25,
|
| 88 |
+
"type": "default"
|
| 89 |
+
},
|
| 90 |
+
"tie_word_embeddings": true,
|
| 91 |
+
"transformers_version": "5.16.1",
|
| 92 |
+
"use_cache": true,
|
| 93 |
+
"vocab_size": 248320
|
| 94 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"eos_token_id": [
|
| 3 |
+
248044,
|
| 4 |
+
248046
|
| 5 |
+
]
|
| 6 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fab876c47696f01e337ee1f600160ef003f24d75e549972c1e747ca6c3e23893
|
| 3 |
+
size 4469632533
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,932 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_size": 4469512192,
|
| 4 |
+
"total_parameters": 4205749760
|
| 5 |
+
},
|
| 6 |
+
"weight_map": {
|
| 7 |
+
"language_model.model.embed_tokens.biases": "model.safetensors",
|
| 8 |
+
"language_model.model.embed_tokens.scales": "model.safetensors",
|
| 9 |
+
"language_model.model.embed_tokens.weight": "model.safetensors",
|
| 10 |
+
"language_model.model.layers.0.input_layernorm.weight": "model.safetensors",
|
| 11 |
+
"language_model.model.layers.0.linear_attn.A_log": "model.safetensors",
|
| 12 |
+
"language_model.model.layers.0.linear_attn.conv1d.weight": "model.safetensors",
|
| 13 |
+
"language_model.model.layers.0.linear_attn.dt_bias": "model.safetensors",
|
| 14 |
+
"language_model.model.layers.0.linear_attn.in_proj_a.biases": "model.safetensors",
|
| 15 |
+
"language_model.model.layers.0.linear_attn.in_proj_a.scales": "model.safetensors",
|
| 16 |
+
"language_model.model.layers.0.linear_attn.in_proj_a.weight": "model.safetensors",
|
| 17 |
+
"language_model.model.layers.0.linear_attn.in_proj_b.biases": "model.safetensors",
|
| 18 |
+
"language_model.model.layers.0.linear_attn.in_proj_b.scales": "model.safetensors",
|
| 19 |
+
"language_model.model.layers.0.linear_attn.in_proj_b.weight": "model.safetensors",
|
| 20 |
+
"language_model.model.layers.0.linear_attn.in_proj_qkv.biases": "model.safetensors",
|
| 21 |
+
"language_model.model.layers.0.linear_attn.in_proj_qkv.scales": "model.safetensors",
|
| 22 |
+
"language_model.model.layers.0.linear_attn.in_proj_qkv.weight": "model.safetensors",
|
| 23 |
+
"language_model.model.layers.0.linear_attn.in_proj_z.biases": "model.safetensors",
|
| 24 |
+
"language_model.model.layers.0.linear_attn.in_proj_z.scales": "model.safetensors",
|
| 25 |
+
"language_model.model.layers.0.linear_attn.in_proj_z.weight": "model.safetensors",
|
| 26 |
+
"language_model.model.layers.0.linear_attn.norm.weight": "model.safetensors",
|
| 27 |
+
"language_model.model.layers.0.linear_attn.out_proj.biases": "model.safetensors",
|
| 28 |
+
"language_model.model.layers.0.linear_attn.out_proj.scales": "model.safetensors",
|
| 29 |
+
"language_model.model.layers.0.linear_attn.out_proj.weight": "model.safetensors",
|
| 30 |
+
"language_model.model.layers.0.mlp.down_proj.biases": "model.safetensors",
|
| 31 |
+
"language_model.model.layers.0.mlp.down_proj.scales": "model.safetensors",
|
| 32 |
+
"language_model.model.layers.0.mlp.down_proj.weight": "model.safetensors",
|
| 33 |
+
"language_model.model.layers.0.mlp.gate_proj.biases": "model.safetensors",
|
| 34 |
+
"language_model.model.layers.0.mlp.gate_proj.scales": "model.safetensors",
|
| 35 |
+
"language_model.model.layers.0.mlp.gate_proj.weight": "model.safetensors",
|
| 36 |
+
"language_model.model.layers.0.mlp.up_proj.biases": "model.safetensors",
|
| 37 |
+
"language_model.model.layers.0.mlp.up_proj.scales": "model.safetensors",
|
| 38 |
+
"language_model.model.layers.0.mlp.up_proj.weight": "model.safetensors",
|
| 39 |
+
"language_model.model.layers.0.post_attention_layernorm.weight": "model.safetensors",
|
| 40 |
+
"language_model.model.layers.1.input_layernorm.weight": "model.safetensors",
|
| 41 |
+
"language_model.model.layers.1.linear_attn.A_log": "model.safetensors",
|
| 42 |
+
"language_model.model.layers.1.linear_attn.conv1d.weight": "model.safetensors",
|
| 43 |
+
"language_model.model.layers.1.linear_attn.dt_bias": "model.safetensors",
|
| 44 |
+
"language_model.model.layers.1.linear_attn.in_proj_a.biases": "model.safetensors",
|
| 45 |
+
"language_model.model.layers.1.linear_attn.in_proj_a.scales": "model.safetensors",
|
| 46 |
+
"language_model.model.layers.1.linear_attn.in_proj_a.weight": "model.safetensors",
|
| 47 |
+
"language_model.model.layers.1.linear_attn.in_proj_b.biases": "model.safetensors",
|
| 48 |
+
"language_model.model.layers.1.linear_attn.in_proj_b.scales": "model.safetensors",
|
| 49 |
+
"language_model.model.layers.1.linear_attn.in_proj_b.weight": "model.safetensors",
|
| 50 |
+
"language_model.model.layers.1.linear_attn.in_proj_qkv.biases": "model.safetensors",
|
| 51 |
+
"language_model.model.layers.1.linear_attn.in_proj_qkv.scales": "model.safetensors",
|
| 52 |
+
"language_model.model.layers.1.linear_attn.in_proj_qkv.weight": "model.safetensors",
|
| 53 |
+
"language_model.model.layers.1.linear_attn.in_proj_z.biases": "model.safetensors",
|
| 54 |
+
"language_model.model.layers.1.linear_attn.in_proj_z.scales": "model.safetensors",
|
| 55 |
+
"language_model.model.layers.1.linear_attn.in_proj_z.weight": "model.safetensors",
|
| 56 |
+
"language_model.model.layers.1.linear_attn.norm.weight": "model.safetensors",
|
| 57 |
+
"language_model.model.layers.1.linear_attn.out_proj.biases": "model.safetensors",
|
| 58 |
+
"language_model.model.layers.1.linear_attn.out_proj.scales": "model.safetensors",
|
| 59 |
+
"language_model.model.layers.1.linear_attn.out_proj.weight": "model.safetensors",
|
| 60 |
+
"language_model.model.layers.1.mlp.down_proj.biases": "model.safetensors",
|
| 61 |
+
"language_model.model.layers.1.mlp.down_proj.scales": "model.safetensors",
|
| 62 |
+
"language_model.model.layers.1.mlp.down_proj.weight": "model.safetensors",
|
| 63 |
+
"language_model.model.layers.1.mlp.gate_proj.biases": "model.safetensors",
|
| 64 |
+
"language_model.model.layers.1.mlp.gate_proj.scales": "model.safetensors",
|
| 65 |
+
"language_model.model.layers.1.mlp.gate_proj.weight": "model.safetensors",
|
| 66 |
+
"language_model.model.layers.1.mlp.up_proj.biases": "model.safetensors",
|
| 67 |
+
"language_model.model.layers.1.mlp.up_proj.scales": "model.safetensors",
|
| 68 |
+
"language_model.model.layers.1.mlp.up_proj.weight": "model.safetensors",
|
| 69 |
+
"language_model.model.layers.1.post_attention_layernorm.weight": "model.safetensors",
|
| 70 |
+
"language_model.model.layers.10.input_layernorm.weight": "model.safetensors",
|
| 71 |
+
"language_model.model.layers.10.linear_attn.A_log": "model.safetensors",
|
| 72 |
+
"language_model.model.layers.10.linear_attn.conv1d.weight": "model.safetensors",
|
| 73 |
+
"language_model.model.layers.10.linear_attn.dt_bias": "model.safetensors",
|
| 74 |
+
"language_model.model.layers.10.linear_attn.in_proj_a.biases": "model.safetensors",
|
| 75 |
+
"language_model.model.layers.10.linear_attn.in_proj_a.scales": "model.safetensors",
|
| 76 |
+
"language_model.model.layers.10.linear_attn.in_proj_a.weight": "model.safetensors",
|
| 77 |
+
"language_model.model.layers.10.linear_attn.in_proj_b.biases": "model.safetensors",
|
| 78 |
+
"language_model.model.layers.10.linear_attn.in_proj_b.scales": "model.safetensors",
|
| 79 |
+
"language_model.model.layers.10.linear_attn.in_proj_b.weight": "model.safetensors",
|
| 80 |
+
"language_model.model.layers.10.linear_attn.in_proj_qkv.biases": "model.safetensors",
|
| 81 |
+
"language_model.model.layers.10.linear_attn.in_proj_qkv.scales": "model.safetensors",
|
| 82 |
+
"language_model.model.layers.10.linear_attn.in_proj_qkv.weight": "model.safetensors",
|
| 83 |
+
"language_model.model.layers.10.linear_attn.in_proj_z.biases": "model.safetensors",
|
| 84 |
+
"language_model.model.layers.10.linear_attn.in_proj_z.scales": "model.safetensors",
|
| 85 |
+
"language_model.model.layers.10.linear_attn.in_proj_z.weight": "model.safetensors",
|
| 86 |
+
"language_model.model.layers.10.linear_attn.norm.weight": "model.safetensors",
|
| 87 |
+
"language_model.model.layers.10.linear_attn.out_proj.biases": "model.safetensors",
|
| 88 |
+
"language_model.model.layers.10.linear_attn.out_proj.scales": "model.safetensors",
|
| 89 |
+
"language_model.model.layers.10.linear_attn.out_proj.weight": "model.safetensors",
|
| 90 |
+
"language_model.model.layers.10.mlp.down_proj.biases": "model.safetensors",
|
| 91 |
+
"language_model.model.layers.10.mlp.down_proj.scales": "model.safetensors",
|
| 92 |
+
"language_model.model.layers.10.mlp.down_proj.weight": "model.safetensors",
|
| 93 |
+
"language_model.model.layers.10.mlp.gate_proj.biases": "model.safetensors",
|
| 94 |
+
"language_model.model.layers.10.mlp.gate_proj.scales": "model.safetensors",
|
| 95 |
+
"language_model.model.layers.10.mlp.gate_proj.weight": "model.safetensors",
|
| 96 |
+
"language_model.model.layers.10.mlp.up_proj.biases": "model.safetensors",
|
| 97 |
+
"language_model.model.layers.10.mlp.up_proj.scales": "model.safetensors",
|
| 98 |
+
"language_model.model.layers.10.mlp.up_proj.weight": "model.safetensors",
|
| 99 |
+
"language_model.model.layers.10.post_attention_layernorm.weight": "model.safetensors",
|
| 100 |
+
"language_model.model.layers.11.input_layernorm.weight": "model.safetensors",
|
| 101 |
+
"language_model.model.layers.11.mlp.down_proj.biases": "model.safetensors",
|
| 102 |
+
"language_model.model.layers.11.mlp.down_proj.scales": "model.safetensors",
|
| 103 |
+
"language_model.model.layers.11.mlp.down_proj.weight": "model.safetensors",
|
| 104 |
+
"language_model.model.layers.11.mlp.gate_proj.biases": "model.safetensors",
|
| 105 |
+
"language_model.model.layers.11.mlp.gate_proj.scales": "model.safetensors",
|
| 106 |
+
"language_model.model.layers.11.mlp.gate_proj.weight": "model.safetensors",
|
| 107 |
+
"language_model.model.layers.11.mlp.up_proj.biases": "model.safetensors",
|
| 108 |
+
"language_model.model.layers.11.mlp.up_proj.scales": "model.safetensors",
|
| 109 |
+
"language_model.model.layers.11.mlp.up_proj.weight": "model.safetensors",
|
| 110 |
+
"language_model.model.layers.11.post_attention_layernorm.weight": "model.safetensors",
|
| 111 |
+
"language_model.model.layers.11.self_attn.k_norm.weight": "model.safetensors",
|
| 112 |
+
"language_model.model.layers.11.self_attn.k_proj.biases": "model.safetensors",
|
| 113 |
+
"language_model.model.layers.11.self_attn.k_proj.scales": "model.safetensors",
|
| 114 |
+
"language_model.model.layers.11.self_attn.k_proj.weight": "model.safetensors",
|
| 115 |
+
"language_model.model.layers.11.self_attn.o_proj.biases": "model.safetensors",
|
| 116 |
+
"language_model.model.layers.11.self_attn.o_proj.scales": "model.safetensors",
|
| 117 |
+
"language_model.model.layers.11.self_attn.o_proj.weight": "model.safetensors",
|
| 118 |
+
"language_model.model.layers.11.self_attn.q_norm.weight": "model.safetensors",
|
| 119 |
+
"language_model.model.layers.11.self_attn.q_proj.biases": "model.safetensors",
|
| 120 |
+
"language_model.model.layers.11.self_attn.q_proj.scales": "model.safetensors",
|
| 121 |
+
"language_model.model.layers.11.self_attn.q_proj.weight": "model.safetensors",
|
| 122 |
+
"language_model.model.layers.11.self_attn.v_proj.biases": "model.safetensors",
|
| 123 |
+
"language_model.model.layers.11.self_attn.v_proj.scales": "model.safetensors",
|
| 124 |
+
"language_model.model.layers.11.self_attn.v_proj.weight": "model.safetensors",
|
| 125 |
+
"language_model.model.layers.12.input_layernorm.weight": "model.safetensors",
|
| 126 |
+
"language_model.model.layers.12.linear_attn.A_log": "model.safetensors",
|
| 127 |
+
"language_model.model.layers.12.linear_attn.conv1d.weight": "model.safetensors",
|
| 128 |
+
"language_model.model.layers.12.linear_attn.dt_bias": "model.safetensors",
|
| 129 |
+
"language_model.model.layers.12.linear_attn.in_proj_a.biases": "model.safetensors",
|
| 130 |
+
"language_model.model.layers.12.linear_attn.in_proj_a.scales": "model.safetensors",
|
| 131 |
+
"language_model.model.layers.12.linear_attn.in_proj_a.weight": "model.safetensors",
|
| 132 |
+
"language_model.model.layers.12.linear_attn.in_proj_b.biases": "model.safetensors",
|
| 133 |
+
"language_model.model.layers.12.linear_attn.in_proj_b.scales": "model.safetensors",
|
| 134 |
+
"language_model.model.layers.12.linear_attn.in_proj_b.weight": "model.safetensors",
|
| 135 |
+
"language_model.model.layers.12.linear_attn.in_proj_qkv.biases": "model.safetensors",
|
| 136 |
+
"language_model.model.layers.12.linear_attn.in_proj_qkv.scales": "model.safetensors",
|
| 137 |
+
"language_model.model.layers.12.linear_attn.in_proj_qkv.weight": "model.safetensors",
|
| 138 |
+
"language_model.model.layers.12.linear_attn.in_proj_z.biases": "model.safetensors",
|
| 139 |
+
"language_model.model.layers.12.linear_attn.in_proj_z.scales": "model.safetensors",
|
| 140 |
+
"language_model.model.layers.12.linear_attn.in_proj_z.weight": "model.safetensors",
|
| 141 |
+
"language_model.model.layers.12.linear_attn.norm.weight": "model.safetensors",
|
| 142 |
+
"language_model.model.layers.12.linear_attn.out_proj.biases": "model.safetensors",
|
| 143 |
+
"language_model.model.layers.12.linear_attn.out_proj.scales": "model.safetensors",
|
| 144 |
+
"language_model.model.layers.12.linear_attn.out_proj.weight": "model.safetensors",
|
| 145 |
+
"language_model.model.layers.12.mlp.down_proj.biases": "model.safetensors",
|
| 146 |
+
"language_model.model.layers.12.mlp.down_proj.scales": "model.safetensors",
|
| 147 |
+
"language_model.model.layers.12.mlp.down_proj.weight": "model.safetensors",
|
| 148 |
+
"language_model.model.layers.12.mlp.gate_proj.biases": "model.safetensors",
|
| 149 |
+
"language_model.model.layers.12.mlp.gate_proj.scales": "model.safetensors",
|
| 150 |
+
"language_model.model.layers.12.mlp.gate_proj.weight": "model.safetensors",
|
| 151 |
+
"language_model.model.layers.12.mlp.up_proj.biases": "model.safetensors",
|
| 152 |
+
"language_model.model.layers.12.mlp.up_proj.scales": "model.safetensors",
|
| 153 |
+
"language_model.model.layers.12.mlp.up_proj.weight": "model.safetensors",
|
| 154 |
+
"language_model.model.layers.12.post_attention_layernorm.weight": "model.safetensors",
|
| 155 |
+
"language_model.model.layers.13.input_layernorm.weight": "model.safetensors",
|
| 156 |
+
"language_model.model.layers.13.linear_attn.A_log": "model.safetensors",
|
| 157 |
+
"language_model.model.layers.13.linear_attn.conv1d.weight": "model.safetensors",
|
| 158 |
+
"language_model.model.layers.13.linear_attn.dt_bias": "model.safetensors",
|
| 159 |
+
"language_model.model.layers.13.linear_attn.in_proj_a.biases": "model.safetensors",
|
| 160 |
+
"language_model.model.layers.13.linear_attn.in_proj_a.scales": "model.safetensors",
|
| 161 |
+
"language_model.model.layers.13.linear_attn.in_proj_a.weight": "model.safetensors",
|
| 162 |
+
"language_model.model.layers.13.linear_attn.in_proj_b.biases": "model.safetensors",
|
| 163 |
+
"language_model.model.layers.13.linear_attn.in_proj_b.scales": "model.safetensors",
|
| 164 |
+
"language_model.model.layers.13.linear_attn.in_proj_b.weight": "model.safetensors",
|
| 165 |
+
"language_model.model.layers.13.linear_attn.in_proj_qkv.biases": "model.safetensors",
|
| 166 |
+
"language_model.model.layers.13.linear_attn.in_proj_qkv.scales": "model.safetensors",
|
| 167 |
+
"language_model.model.layers.13.linear_attn.in_proj_qkv.weight": "model.safetensors",
|
| 168 |
+
"language_model.model.layers.13.linear_attn.in_proj_z.biases": "model.safetensors",
|
| 169 |
+
"language_model.model.layers.13.linear_attn.in_proj_z.scales": "model.safetensors",
|
| 170 |
+
"language_model.model.layers.13.linear_attn.in_proj_z.weight": "model.safetensors",
|
| 171 |
+
"language_model.model.layers.13.linear_attn.norm.weight": "model.safetensors",
|
| 172 |
+
"language_model.model.layers.13.linear_attn.out_proj.biases": "model.safetensors",
|
| 173 |
+
"language_model.model.layers.13.linear_attn.out_proj.scales": "model.safetensors",
|
| 174 |
+
"language_model.model.layers.13.linear_attn.out_proj.weight": "model.safetensors",
|
| 175 |
+
"language_model.model.layers.13.mlp.down_proj.biases": "model.safetensors",
|
| 176 |
+
"language_model.model.layers.13.mlp.down_proj.scales": "model.safetensors",
|
| 177 |
+
"language_model.model.layers.13.mlp.down_proj.weight": "model.safetensors",
|
| 178 |
+
"language_model.model.layers.13.mlp.gate_proj.biases": "model.safetensors",
|
| 179 |
+
"language_model.model.layers.13.mlp.gate_proj.scales": "model.safetensors",
|
| 180 |
+
"language_model.model.layers.13.mlp.gate_proj.weight": "model.safetensors",
|
| 181 |
+
"language_model.model.layers.13.mlp.up_proj.biases": "model.safetensors",
|
| 182 |
+
"language_model.model.layers.13.mlp.up_proj.scales": "model.safetensors",
|
| 183 |
+
"language_model.model.layers.13.mlp.up_proj.weight": "model.safetensors",
|
| 184 |
+
"language_model.model.layers.13.post_attention_layernorm.weight": "model.safetensors",
|
| 185 |
+
"language_model.model.layers.14.input_layernorm.weight": "model.safetensors",
|
| 186 |
+
"language_model.model.layers.14.linear_attn.A_log": "model.safetensors",
|
| 187 |
+
"language_model.model.layers.14.linear_attn.conv1d.weight": "model.safetensors",
|
| 188 |
+
"language_model.model.layers.14.linear_attn.dt_bias": "model.safetensors",
|
| 189 |
+
"language_model.model.layers.14.linear_attn.in_proj_a.biases": "model.safetensors",
|
| 190 |
+
"language_model.model.layers.14.linear_attn.in_proj_a.scales": "model.safetensors",
|
| 191 |
+
"language_model.model.layers.14.linear_attn.in_proj_a.weight": "model.safetensors",
|
| 192 |
+
"language_model.model.layers.14.linear_attn.in_proj_b.biases": "model.safetensors",
|
| 193 |
+
"language_model.model.layers.14.linear_attn.in_proj_b.scales": "model.safetensors",
|
| 194 |
+
"language_model.model.layers.14.linear_attn.in_proj_b.weight": "model.safetensors",
|
| 195 |
+
"language_model.model.layers.14.linear_attn.in_proj_qkv.biases": "model.safetensors",
|
| 196 |
+
"language_model.model.layers.14.linear_attn.in_proj_qkv.scales": "model.safetensors",
|
| 197 |
+
"language_model.model.layers.14.linear_attn.in_proj_qkv.weight": "model.safetensors",
|
| 198 |
+
"language_model.model.layers.14.linear_attn.in_proj_z.biases": "model.safetensors",
|
| 199 |
+
"language_model.model.layers.14.linear_attn.in_proj_z.scales": "model.safetensors",
|
| 200 |
+
"language_model.model.layers.14.linear_attn.in_proj_z.weight": "model.safetensors",
|
| 201 |
+
"language_model.model.layers.14.linear_attn.norm.weight": "model.safetensors",
|
| 202 |
+
"language_model.model.layers.14.linear_attn.out_proj.biases": "model.safetensors",
|
| 203 |
+
"language_model.model.layers.14.linear_attn.out_proj.scales": "model.safetensors",
|
| 204 |
+
"language_model.model.layers.14.linear_attn.out_proj.weight": "model.safetensors",
|
| 205 |
+
"language_model.model.layers.14.mlp.down_proj.biases": "model.safetensors",
|
| 206 |
+
"language_model.model.layers.14.mlp.down_proj.scales": "model.safetensors",
|
| 207 |
+
"language_model.model.layers.14.mlp.down_proj.weight": "model.safetensors",
|
| 208 |
+
"language_model.model.layers.14.mlp.gate_proj.biases": "model.safetensors",
|
| 209 |
+
"language_model.model.layers.14.mlp.gate_proj.scales": "model.safetensors",
|
| 210 |
+
"language_model.model.layers.14.mlp.gate_proj.weight": "model.safetensors",
|
| 211 |
+
"language_model.model.layers.14.mlp.up_proj.biases": "model.safetensors",
|
| 212 |
+
"language_model.model.layers.14.mlp.up_proj.scales": "model.safetensors",
|
| 213 |
+
"language_model.model.layers.14.mlp.up_proj.weight": "model.safetensors",
|
| 214 |
+
"language_model.model.layers.14.post_attention_layernorm.weight": "model.safetensors",
|
| 215 |
+
"language_model.model.layers.15.input_layernorm.weight": "model.safetensors",
|
| 216 |
+
"language_model.model.layers.15.mlp.down_proj.biases": "model.safetensors",
|
| 217 |
+
"language_model.model.layers.15.mlp.down_proj.scales": "model.safetensors",
|
| 218 |
+
"language_model.model.layers.15.mlp.down_proj.weight": "model.safetensors",
|
| 219 |
+
"language_model.model.layers.15.mlp.gate_proj.biases": "model.safetensors",
|
| 220 |
+
"language_model.model.layers.15.mlp.gate_proj.scales": "model.safetensors",
|
| 221 |
+
"language_model.model.layers.15.mlp.gate_proj.weight": "model.safetensors",
|
| 222 |
+
"language_model.model.layers.15.mlp.up_proj.biases": "model.safetensors",
|
| 223 |
+
"language_model.model.layers.15.mlp.up_proj.scales": "model.safetensors",
|
| 224 |
+
"language_model.model.layers.15.mlp.up_proj.weight": "model.safetensors",
|
| 225 |
+
"language_model.model.layers.15.post_attention_layernorm.weight": "model.safetensors",
|
| 226 |
+
"language_model.model.layers.15.self_attn.k_norm.weight": "model.safetensors",
|
| 227 |
+
"language_model.model.layers.15.self_attn.k_proj.biases": "model.safetensors",
|
| 228 |
+
"language_model.model.layers.15.self_attn.k_proj.scales": "model.safetensors",
|
| 229 |
+
"language_model.model.layers.15.self_attn.k_proj.weight": "model.safetensors",
|
| 230 |
+
"language_model.model.layers.15.self_attn.o_proj.biases": "model.safetensors",
|
| 231 |
+
"language_model.model.layers.15.self_attn.o_proj.scales": "model.safetensors",
|
| 232 |
+
"language_model.model.layers.15.self_attn.o_proj.weight": "model.safetensors",
|
| 233 |
+
"language_model.model.layers.15.self_attn.q_norm.weight": "model.safetensors",
|
| 234 |
+
"language_model.model.layers.15.self_attn.q_proj.biases": "model.safetensors",
|
| 235 |
+
"language_model.model.layers.15.self_attn.q_proj.scales": "model.safetensors",
|
| 236 |
+
"language_model.model.layers.15.self_attn.q_proj.weight": "model.safetensors",
|
| 237 |
+
"language_model.model.layers.15.self_attn.v_proj.biases": "model.safetensors",
|
| 238 |
+
"language_model.model.layers.15.self_attn.v_proj.scales": "model.safetensors",
|
| 239 |
+
"language_model.model.layers.15.self_attn.v_proj.weight": "model.safetensors",
|
| 240 |
+
"language_model.model.layers.16.input_layernorm.weight": "model.safetensors",
|
| 241 |
+
"language_model.model.layers.16.linear_attn.A_log": "model.safetensors",
|
| 242 |
+
"language_model.model.layers.16.linear_attn.conv1d.weight": "model.safetensors",
|
| 243 |
+
"language_model.model.layers.16.linear_attn.dt_bias": "model.safetensors",
|
| 244 |
+
"language_model.model.layers.16.linear_attn.in_proj_a.biases": "model.safetensors",
|
| 245 |
+
"language_model.model.layers.16.linear_attn.in_proj_a.scales": "model.safetensors",
|
| 246 |
+
"language_model.model.layers.16.linear_attn.in_proj_a.weight": "model.safetensors",
|
| 247 |
+
"language_model.model.layers.16.linear_attn.in_proj_b.biases": "model.safetensors",
|
| 248 |
+
"language_model.model.layers.16.linear_attn.in_proj_b.scales": "model.safetensors",
|
| 249 |
+
"language_model.model.layers.16.linear_attn.in_proj_b.weight": "model.safetensors",
|
| 250 |
+
"language_model.model.layers.16.linear_attn.in_proj_qkv.biases": "model.safetensors",
|
| 251 |
+
"language_model.model.layers.16.linear_attn.in_proj_qkv.scales": "model.safetensors",
|
| 252 |
+
"language_model.model.layers.16.linear_attn.in_proj_qkv.weight": "model.safetensors",
|
| 253 |
+
"language_model.model.layers.16.linear_attn.in_proj_z.biases": "model.safetensors",
|
| 254 |
+
"language_model.model.layers.16.linear_attn.in_proj_z.scales": "model.safetensors",
|
| 255 |
+
"language_model.model.layers.16.linear_attn.in_proj_z.weight": "model.safetensors",
|
| 256 |
+
"language_model.model.layers.16.linear_attn.norm.weight": "model.safetensors",
|
| 257 |
+
"language_model.model.layers.16.linear_attn.out_proj.biases": "model.safetensors",
|
| 258 |
+
"language_model.model.layers.16.linear_attn.out_proj.scales": "model.safetensors",
|
| 259 |
+
"language_model.model.layers.16.linear_attn.out_proj.weight": "model.safetensors",
|
| 260 |
+
"language_model.model.layers.16.mlp.down_proj.biases": "model.safetensors",
|
| 261 |
+
"language_model.model.layers.16.mlp.down_proj.scales": "model.safetensors",
|
| 262 |
+
"language_model.model.layers.16.mlp.down_proj.weight": "model.safetensors",
|
| 263 |
+
"language_model.model.layers.16.mlp.gate_proj.biases": "model.safetensors",
|
| 264 |
+
"language_model.model.layers.16.mlp.gate_proj.scales": "model.safetensors",
|
| 265 |
+
"language_model.model.layers.16.mlp.gate_proj.weight": "model.safetensors",
|
| 266 |
+
"language_model.model.layers.16.mlp.up_proj.biases": "model.safetensors",
|
| 267 |
+
"language_model.model.layers.16.mlp.up_proj.scales": "model.safetensors",
|
| 268 |
+
"language_model.model.layers.16.mlp.up_proj.weight": "model.safetensors",
|
| 269 |
+
"language_model.model.layers.16.post_attention_layernorm.weight": "model.safetensors",
|
| 270 |
+
"language_model.model.layers.17.input_layernorm.weight": "model.safetensors",
|
| 271 |
+
"language_model.model.layers.17.linear_attn.A_log": "model.safetensors",
|
| 272 |
+
"language_model.model.layers.17.linear_attn.conv1d.weight": "model.safetensors",
|
| 273 |
+
"language_model.model.layers.17.linear_attn.dt_bias": "model.safetensors",
|
| 274 |
+
"language_model.model.layers.17.linear_attn.in_proj_a.biases": "model.safetensors",
|
| 275 |
+
"language_model.model.layers.17.linear_attn.in_proj_a.scales": "model.safetensors",
|
| 276 |
+
"language_model.model.layers.17.linear_attn.in_proj_a.weight": "model.safetensors",
|
| 277 |
+
"language_model.model.layers.17.linear_attn.in_proj_b.biases": "model.safetensors",
|
| 278 |
+
"language_model.model.layers.17.linear_attn.in_proj_b.scales": "model.safetensors",
|
| 279 |
+
"language_model.model.layers.17.linear_attn.in_proj_b.weight": "model.safetensors",
|
| 280 |
+
"language_model.model.layers.17.linear_attn.in_proj_qkv.biases": "model.safetensors",
|
| 281 |
+
"language_model.model.layers.17.linear_attn.in_proj_qkv.scales": "model.safetensors",
|
| 282 |
+
"language_model.model.layers.17.linear_attn.in_proj_qkv.weight": "model.safetensors",
|
| 283 |
+
"language_model.model.layers.17.linear_attn.in_proj_z.biases": "model.safetensors",
|
| 284 |
+
"language_model.model.layers.17.linear_attn.in_proj_z.scales": "model.safetensors",
|
| 285 |
+
"language_model.model.layers.17.linear_attn.in_proj_z.weight": "model.safetensors",
|
| 286 |
+
"language_model.model.layers.17.linear_attn.norm.weight": "model.safetensors",
|
| 287 |
+
"language_model.model.layers.17.linear_attn.out_proj.biases": "model.safetensors",
|
| 288 |
+
"language_model.model.layers.17.linear_attn.out_proj.scales": "model.safetensors",
|
| 289 |
+
"language_model.model.layers.17.linear_attn.out_proj.weight": "model.safetensors",
|
| 290 |
+
"language_model.model.layers.17.mlp.down_proj.biases": "model.safetensors",
|
| 291 |
+
"language_model.model.layers.17.mlp.down_proj.scales": "model.safetensors",
|
| 292 |
+
"language_model.model.layers.17.mlp.down_proj.weight": "model.safetensors",
|
| 293 |
+
"language_model.model.layers.17.mlp.gate_proj.biases": "model.safetensors",
|
| 294 |
+
"language_model.model.layers.17.mlp.gate_proj.scales": "model.safetensors",
|
| 295 |
+
"language_model.model.layers.17.mlp.gate_proj.weight": "model.safetensors",
|
| 296 |
+
"language_model.model.layers.17.mlp.up_proj.biases": "model.safetensors",
|
| 297 |
+
"language_model.model.layers.17.mlp.up_proj.scales": "model.safetensors",
|
| 298 |
+
"language_model.model.layers.17.mlp.up_proj.weight": "model.safetensors",
|
| 299 |
+
"language_model.model.layers.17.post_attention_layernorm.weight": "model.safetensors",
|
| 300 |
+
"language_model.model.layers.18.input_layernorm.weight": "model.safetensors",
|
| 301 |
+
"language_model.model.layers.18.linear_attn.A_log": "model.safetensors",
|
| 302 |
+
"language_model.model.layers.18.linear_attn.conv1d.weight": "model.safetensors",
|
| 303 |
+
"language_model.model.layers.18.linear_attn.dt_bias": "model.safetensors",
|
| 304 |
+
"language_model.model.layers.18.linear_attn.in_proj_a.biases": "model.safetensors",
|
| 305 |
+
"language_model.model.layers.18.linear_attn.in_proj_a.scales": "model.safetensors",
|
| 306 |
+
"language_model.model.layers.18.linear_attn.in_proj_a.weight": "model.safetensors",
|
| 307 |
+
"language_model.model.layers.18.linear_attn.in_proj_b.biases": "model.safetensors",
|
| 308 |
+
"language_model.model.layers.18.linear_attn.in_proj_b.scales": "model.safetensors",
|
| 309 |
+
"language_model.model.layers.18.linear_attn.in_proj_b.weight": "model.safetensors",
|
| 310 |
+
"language_model.model.layers.18.linear_attn.in_proj_qkv.biases": "model.safetensors",
|
| 311 |
+
"language_model.model.layers.18.linear_attn.in_proj_qkv.scales": "model.safetensors",
|
| 312 |
+
"language_model.model.layers.18.linear_attn.in_proj_qkv.weight": "model.safetensors",
|
| 313 |
+
"language_model.model.layers.18.linear_attn.in_proj_z.biases": "model.safetensors",
|
| 314 |
+
"language_model.model.layers.18.linear_attn.in_proj_z.scales": "model.safetensors",
|
| 315 |
+
"language_model.model.layers.18.linear_attn.in_proj_z.weight": "model.safetensors",
|
| 316 |
+
"language_model.model.layers.18.linear_attn.norm.weight": "model.safetensors",
|
| 317 |
+
"language_model.model.layers.18.linear_attn.out_proj.biases": "model.safetensors",
|
| 318 |
+
"language_model.model.layers.18.linear_attn.out_proj.scales": "model.safetensors",
|
| 319 |
+
"language_model.model.layers.18.linear_attn.out_proj.weight": "model.safetensors",
|
| 320 |
+
"language_model.model.layers.18.mlp.down_proj.biases": "model.safetensors",
|
| 321 |
+
"language_model.model.layers.18.mlp.down_proj.scales": "model.safetensors",
|
| 322 |
+
"language_model.model.layers.18.mlp.down_proj.weight": "model.safetensors",
|
| 323 |
+
"language_model.model.layers.18.mlp.gate_proj.biases": "model.safetensors",
|
| 324 |
+
"language_model.model.layers.18.mlp.gate_proj.scales": "model.safetensors",
|
| 325 |
+
"language_model.model.layers.18.mlp.gate_proj.weight": "model.safetensors",
|
| 326 |
+
"language_model.model.layers.18.mlp.up_proj.biases": "model.safetensors",
|
| 327 |
+
"language_model.model.layers.18.mlp.up_proj.scales": "model.safetensors",
|
| 328 |
+
"language_model.model.layers.18.mlp.up_proj.weight": "model.safetensors",
|
| 329 |
+
"language_model.model.layers.18.post_attention_layernorm.weight": "model.safetensors",
|
| 330 |
+
"language_model.model.layers.19.input_layernorm.weight": "model.safetensors",
|
| 331 |
+
"language_model.model.layers.19.mlp.down_proj.biases": "model.safetensors",
|
| 332 |
+
"language_model.model.layers.19.mlp.down_proj.scales": "model.safetensors",
|
| 333 |
+
"language_model.model.layers.19.mlp.down_proj.weight": "model.safetensors",
|
| 334 |
+
"language_model.model.layers.19.mlp.gate_proj.biases": "model.safetensors",
|
| 335 |
+
"language_model.model.layers.19.mlp.gate_proj.scales": "model.safetensors",
|
| 336 |
+
"language_model.model.layers.19.mlp.gate_proj.weight": "model.safetensors",
|
| 337 |
+
"language_model.model.layers.19.mlp.up_proj.biases": "model.safetensors",
|
| 338 |
+
"language_model.model.layers.19.mlp.up_proj.scales": "model.safetensors",
|
| 339 |
+
"language_model.model.layers.19.mlp.up_proj.weight": "model.safetensors",
|
| 340 |
+
"language_model.model.layers.19.post_attention_layernorm.weight": "model.safetensors",
|
| 341 |
+
"language_model.model.layers.19.self_attn.k_norm.weight": "model.safetensors",
|
| 342 |
+
"language_model.model.layers.19.self_attn.k_proj.biases": "model.safetensors",
|
| 343 |
+
"language_model.model.layers.19.self_attn.k_proj.scales": "model.safetensors",
|
| 344 |
+
"language_model.model.layers.19.self_attn.k_proj.weight": "model.safetensors",
|
| 345 |
+
"language_model.model.layers.19.self_attn.o_proj.biases": "model.safetensors",
|
| 346 |
+
"language_model.model.layers.19.self_attn.o_proj.scales": "model.safetensors",
|
| 347 |
+
"language_model.model.layers.19.self_attn.o_proj.weight": "model.safetensors",
|
| 348 |
+
"language_model.model.layers.19.self_attn.q_norm.weight": "model.safetensors",
|
| 349 |
+
"language_model.model.layers.19.self_attn.q_proj.biases": "model.safetensors",
|
| 350 |
+
"language_model.model.layers.19.self_attn.q_proj.scales": "model.safetensors",
|
| 351 |
+
"language_model.model.layers.19.self_attn.q_proj.weight": "model.safetensors",
|
| 352 |
+
"language_model.model.layers.19.self_attn.v_proj.biases": "model.safetensors",
|
| 353 |
+
"language_model.model.layers.19.self_attn.v_proj.scales": "model.safetensors",
|
| 354 |
+
"language_model.model.layers.19.self_attn.v_proj.weight": "model.safetensors",
|
| 355 |
+
"language_model.model.layers.2.input_layernorm.weight": "model.safetensors",
|
| 356 |
+
"language_model.model.layers.2.linear_attn.A_log": "model.safetensors",
|
| 357 |
+
"language_model.model.layers.2.linear_attn.conv1d.weight": "model.safetensors",
|
| 358 |
+
"language_model.model.layers.2.linear_attn.dt_bias": "model.safetensors",
|
| 359 |
+
"language_model.model.layers.2.linear_attn.in_proj_a.biases": "model.safetensors",
|
| 360 |
+
"language_model.model.layers.2.linear_attn.in_proj_a.scales": "model.safetensors",
|
| 361 |
+
"language_model.model.layers.2.linear_attn.in_proj_a.weight": "model.safetensors",
|
| 362 |
+
"language_model.model.layers.2.linear_attn.in_proj_b.biases": "model.safetensors",
|
| 363 |
+
"language_model.model.layers.2.linear_attn.in_proj_b.scales": "model.safetensors",
|
| 364 |
+
"language_model.model.layers.2.linear_attn.in_proj_b.weight": "model.safetensors",
|
| 365 |
+
"language_model.model.layers.2.linear_attn.in_proj_qkv.biases": "model.safetensors",
|
| 366 |
+
"language_model.model.layers.2.linear_attn.in_proj_qkv.scales": "model.safetensors",
|
| 367 |
+
"language_model.model.layers.2.linear_attn.in_proj_qkv.weight": "model.safetensors",
|
| 368 |
+
"language_model.model.layers.2.linear_attn.in_proj_z.biases": "model.safetensors",
|
| 369 |
+
"language_model.model.layers.2.linear_attn.in_proj_z.scales": "model.safetensors",
|
| 370 |
+
"language_model.model.layers.2.linear_attn.in_proj_z.weight": "model.safetensors",
|
| 371 |
+
"language_model.model.layers.2.linear_attn.norm.weight": "model.safetensors",
|
| 372 |
+
"language_model.model.layers.2.linear_attn.out_proj.biases": "model.safetensors",
|
| 373 |
+
"language_model.model.layers.2.linear_attn.out_proj.scales": "model.safetensors",
|
| 374 |
+
"language_model.model.layers.2.linear_attn.out_proj.weight": "model.safetensors",
|
| 375 |
+
"language_model.model.layers.2.mlp.down_proj.biases": "model.safetensors",
|
| 376 |
+
"language_model.model.layers.2.mlp.down_proj.scales": "model.safetensors",
|
| 377 |
+
"language_model.model.layers.2.mlp.down_proj.weight": "model.safetensors",
|
| 378 |
+
"language_model.model.layers.2.mlp.gate_proj.biases": "model.safetensors",
|
| 379 |
+
"language_model.model.layers.2.mlp.gate_proj.scales": "model.safetensors",
|
| 380 |
+
"language_model.model.layers.2.mlp.gate_proj.weight": "model.safetensors",
|
| 381 |
+
"language_model.model.layers.2.mlp.up_proj.biases": "model.safetensors",
|
| 382 |
+
"language_model.model.layers.2.mlp.up_proj.scales": "model.safetensors",
|
| 383 |
+
"language_model.model.layers.2.mlp.up_proj.weight": "model.safetensors",
|
| 384 |
+
"language_model.model.layers.2.post_attention_layernorm.weight": "model.safetensors",
|
| 385 |
+
"language_model.model.layers.20.input_layernorm.weight": "model.safetensors",
|
| 386 |
+
"language_model.model.layers.20.linear_attn.A_log": "model.safetensors",
|
| 387 |
+
"language_model.model.layers.20.linear_attn.conv1d.weight": "model.safetensors",
|
| 388 |
+
"language_model.model.layers.20.linear_attn.dt_bias": "model.safetensors",
|
| 389 |
+
"language_model.model.layers.20.linear_attn.in_proj_a.biases": "model.safetensors",
|
| 390 |
+
"language_model.model.layers.20.linear_attn.in_proj_a.scales": "model.safetensors",
|
| 391 |
+
"language_model.model.layers.20.linear_attn.in_proj_a.weight": "model.safetensors",
|
| 392 |
+
"language_model.model.layers.20.linear_attn.in_proj_b.biases": "model.safetensors",
|
| 393 |
+
"language_model.model.layers.20.linear_attn.in_proj_b.scales": "model.safetensors",
|
| 394 |
+
"language_model.model.layers.20.linear_attn.in_proj_b.weight": "model.safetensors",
|
| 395 |
+
"language_model.model.layers.20.linear_attn.in_proj_qkv.biases": "model.safetensors",
|
| 396 |
+
"language_model.model.layers.20.linear_attn.in_proj_qkv.scales": "model.safetensors",
|
| 397 |
+
"language_model.model.layers.20.linear_attn.in_proj_qkv.weight": "model.safetensors",
|
| 398 |
+
"language_model.model.layers.20.linear_attn.in_proj_z.biases": "model.safetensors",
|
| 399 |
+
"language_model.model.layers.20.linear_attn.in_proj_z.scales": "model.safetensors",
|
| 400 |
+
"language_model.model.layers.20.linear_attn.in_proj_z.weight": "model.safetensors",
|
| 401 |
+
"language_model.model.layers.20.linear_attn.norm.weight": "model.safetensors",
|
| 402 |
+
"language_model.model.layers.20.linear_attn.out_proj.biases": "model.safetensors",
|
| 403 |
+
"language_model.model.layers.20.linear_attn.out_proj.scales": "model.safetensors",
|
| 404 |
+
"language_model.model.layers.20.linear_attn.out_proj.weight": "model.safetensors",
|
| 405 |
+
"language_model.model.layers.20.mlp.down_proj.biases": "model.safetensors",
|
| 406 |
+
"language_model.model.layers.20.mlp.down_proj.scales": "model.safetensors",
|
| 407 |
+
"language_model.model.layers.20.mlp.down_proj.weight": "model.safetensors",
|
| 408 |
+
"language_model.model.layers.20.mlp.gate_proj.biases": "model.safetensors",
|
| 409 |
+
"language_model.model.layers.20.mlp.gate_proj.scales": "model.safetensors",
|
| 410 |
+
"language_model.model.layers.20.mlp.gate_proj.weight": "model.safetensors",
|
| 411 |
+
"language_model.model.layers.20.mlp.up_proj.biases": "model.safetensors",
|
| 412 |
+
"language_model.model.layers.20.mlp.up_proj.scales": "model.safetensors",
|
| 413 |
+
"language_model.model.layers.20.mlp.up_proj.weight": "model.safetensors",
|
| 414 |
+
"language_model.model.layers.20.post_attention_layernorm.weight": "model.safetensors",
|
| 415 |
+
"language_model.model.layers.21.input_layernorm.weight": "model.safetensors",
|
| 416 |
+
"language_model.model.layers.21.linear_attn.A_log": "model.safetensors",
|
| 417 |
+
"language_model.model.layers.21.linear_attn.conv1d.weight": "model.safetensors",
|
| 418 |
+
"language_model.model.layers.21.linear_attn.dt_bias": "model.safetensors",
|
| 419 |
+
"language_model.model.layers.21.linear_attn.in_proj_a.biases": "model.safetensors",
|
| 420 |
+
"language_model.model.layers.21.linear_attn.in_proj_a.scales": "model.safetensors",
|
| 421 |
+
"language_model.model.layers.21.linear_attn.in_proj_a.weight": "model.safetensors",
|
| 422 |
+
"language_model.model.layers.21.linear_attn.in_proj_b.biases": "model.safetensors",
|
| 423 |
+
"language_model.model.layers.21.linear_attn.in_proj_b.scales": "model.safetensors",
|
| 424 |
+
"language_model.model.layers.21.linear_attn.in_proj_b.weight": "model.safetensors",
|
| 425 |
+
"language_model.model.layers.21.linear_attn.in_proj_qkv.biases": "model.safetensors",
|
| 426 |
+
"language_model.model.layers.21.linear_attn.in_proj_qkv.scales": "model.safetensors",
|
| 427 |
+
"language_model.model.layers.21.linear_attn.in_proj_qkv.weight": "model.safetensors",
|
| 428 |
+
"language_model.model.layers.21.linear_attn.in_proj_z.biases": "model.safetensors",
|
| 429 |
+
"language_model.model.layers.21.linear_attn.in_proj_z.scales": "model.safetensors",
|
| 430 |
+
"language_model.model.layers.21.linear_attn.in_proj_z.weight": "model.safetensors",
|
| 431 |
+
"language_model.model.layers.21.linear_attn.norm.weight": "model.safetensors",
|
| 432 |
+
"language_model.model.layers.21.linear_attn.out_proj.biases": "model.safetensors",
|
| 433 |
+
"language_model.model.layers.21.linear_attn.out_proj.scales": "model.safetensors",
|
| 434 |
+
"language_model.model.layers.21.linear_attn.out_proj.weight": "model.safetensors",
|
| 435 |
+
"language_model.model.layers.21.mlp.down_proj.biases": "model.safetensors",
|
| 436 |
+
"language_model.model.layers.21.mlp.down_proj.scales": "model.safetensors",
|
| 437 |
+
"language_model.model.layers.21.mlp.down_proj.weight": "model.safetensors",
|
| 438 |
+
"language_model.model.layers.21.mlp.gate_proj.biases": "model.safetensors",
|
| 439 |
+
"language_model.model.layers.21.mlp.gate_proj.scales": "model.safetensors",
|
| 440 |
+
"language_model.model.layers.21.mlp.gate_proj.weight": "model.safetensors",
|
| 441 |
+
"language_model.model.layers.21.mlp.up_proj.biases": "model.safetensors",
|
| 442 |
+
"language_model.model.layers.21.mlp.up_proj.scales": "model.safetensors",
|
| 443 |
+
"language_model.model.layers.21.mlp.up_proj.weight": "model.safetensors",
|
| 444 |
+
"language_model.model.layers.21.post_attention_layernorm.weight": "model.safetensors",
|
| 445 |
+
"language_model.model.layers.22.input_layernorm.weight": "model.safetensors",
|
| 446 |
+
"language_model.model.layers.22.linear_attn.A_log": "model.safetensors",
|
| 447 |
+
"language_model.model.layers.22.linear_attn.conv1d.weight": "model.safetensors",
|
| 448 |
+
"language_model.model.layers.22.linear_attn.dt_bias": "model.safetensors",
|
| 449 |
+
"language_model.model.layers.22.linear_attn.in_proj_a.biases": "model.safetensors",
|
| 450 |
+
"language_model.model.layers.22.linear_attn.in_proj_a.scales": "model.safetensors",
|
| 451 |
+
"language_model.model.layers.22.linear_attn.in_proj_a.weight": "model.safetensors",
|
| 452 |
+
"language_model.model.layers.22.linear_attn.in_proj_b.biases": "model.safetensors",
|
| 453 |
+
"language_model.model.layers.22.linear_attn.in_proj_b.scales": "model.safetensors",
|
| 454 |
+
"language_model.model.layers.22.linear_attn.in_proj_b.weight": "model.safetensors",
|
| 455 |
+
"language_model.model.layers.22.linear_attn.in_proj_qkv.biases": "model.safetensors",
|
| 456 |
+
"language_model.model.layers.22.linear_attn.in_proj_qkv.scales": "model.safetensors",
|
| 457 |
+
"language_model.model.layers.22.linear_attn.in_proj_qkv.weight": "model.safetensors",
|
| 458 |
+
"language_model.model.layers.22.linear_attn.in_proj_z.biases": "model.safetensors",
|
| 459 |
+
"language_model.model.layers.22.linear_attn.in_proj_z.scales": "model.safetensors",
|
| 460 |
+
"language_model.model.layers.22.linear_attn.in_proj_z.weight": "model.safetensors",
|
| 461 |
+
"language_model.model.layers.22.linear_attn.norm.weight": "model.safetensors",
|
| 462 |
+
"language_model.model.layers.22.linear_attn.out_proj.biases": "model.safetensors",
|
| 463 |
+
"language_model.model.layers.22.linear_attn.out_proj.scales": "model.safetensors",
|
| 464 |
+
"language_model.model.layers.22.linear_attn.out_proj.weight": "model.safetensors",
|
| 465 |
+
"language_model.model.layers.22.mlp.down_proj.biases": "model.safetensors",
|
| 466 |
+
"language_model.model.layers.22.mlp.down_proj.scales": "model.safetensors",
|
| 467 |
+
"language_model.model.layers.22.mlp.down_proj.weight": "model.safetensors",
|
| 468 |
+
"language_model.model.layers.22.mlp.gate_proj.biases": "model.safetensors",
|
| 469 |
+
"language_model.model.layers.22.mlp.gate_proj.scales": "model.safetensors",
|
| 470 |
+
"language_model.model.layers.22.mlp.gate_proj.weight": "model.safetensors",
|
| 471 |
+
"language_model.model.layers.22.mlp.up_proj.biases": "model.safetensors",
|
| 472 |
+
"language_model.model.layers.22.mlp.up_proj.scales": "model.safetensors",
|
| 473 |
+
"language_model.model.layers.22.mlp.up_proj.weight": "model.safetensors",
|
| 474 |
+
"language_model.model.layers.22.post_attention_layernorm.weight": "model.safetensors",
|
| 475 |
+
"language_model.model.layers.23.input_layernorm.weight": "model.safetensors",
|
| 476 |
+
"language_model.model.layers.23.mlp.down_proj.biases": "model.safetensors",
|
| 477 |
+
"language_model.model.layers.23.mlp.down_proj.scales": "model.safetensors",
|
| 478 |
+
"language_model.model.layers.23.mlp.down_proj.weight": "model.safetensors",
|
| 479 |
+
"language_model.model.layers.23.mlp.gate_proj.biases": "model.safetensors",
|
| 480 |
+
"language_model.model.layers.23.mlp.gate_proj.scales": "model.safetensors",
|
| 481 |
+
"language_model.model.layers.23.mlp.gate_proj.weight": "model.safetensors",
|
| 482 |
+
"language_model.model.layers.23.mlp.up_proj.biases": "model.safetensors",
|
| 483 |
+
"language_model.model.layers.23.mlp.up_proj.scales": "model.safetensors",
|
| 484 |
+
"language_model.model.layers.23.mlp.up_proj.weight": "model.safetensors",
|
| 485 |
+
"language_model.model.layers.23.post_attention_layernorm.weight": "model.safetensors",
|
| 486 |
+
"language_model.model.layers.23.self_attn.k_norm.weight": "model.safetensors",
|
| 487 |
+
"language_model.model.layers.23.self_attn.k_proj.biases": "model.safetensors",
|
| 488 |
+
"language_model.model.layers.23.self_attn.k_proj.scales": "model.safetensors",
|
| 489 |
+
"language_model.model.layers.23.self_attn.k_proj.weight": "model.safetensors",
|
| 490 |
+
"language_model.model.layers.23.self_attn.o_proj.biases": "model.safetensors",
|
| 491 |
+
"language_model.model.layers.23.self_attn.o_proj.scales": "model.safetensors",
|
| 492 |
+
"language_model.model.layers.23.self_attn.o_proj.weight": "model.safetensors",
|
| 493 |
+
"language_model.model.layers.23.self_attn.q_norm.weight": "model.safetensors",
|
| 494 |
+
"language_model.model.layers.23.self_attn.q_proj.biases": "model.safetensors",
|
| 495 |
+
"language_model.model.layers.23.self_attn.q_proj.scales": "model.safetensors",
|
| 496 |
+
"language_model.model.layers.23.self_attn.q_proj.weight": "model.safetensors",
|
| 497 |
+
"language_model.model.layers.23.self_attn.v_proj.biases": "model.safetensors",
|
| 498 |
+
"language_model.model.layers.23.self_attn.v_proj.scales": "model.safetensors",
|
| 499 |
+
"language_model.model.layers.23.self_attn.v_proj.weight": "model.safetensors",
|
| 500 |
+
"language_model.model.layers.24.input_layernorm.weight": "model.safetensors",
|
| 501 |
+
"language_model.model.layers.24.linear_attn.A_log": "model.safetensors",
|
| 502 |
+
"language_model.model.layers.24.linear_attn.conv1d.weight": "model.safetensors",
|
| 503 |
+
"language_model.model.layers.24.linear_attn.dt_bias": "model.safetensors",
|
| 504 |
+
"language_model.model.layers.24.linear_attn.in_proj_a.biases": "model.safetensors",
|
| 505 |
+
"language_model.model.layers.24.linear_attn.in_proj_a.scales": "model.safetensors",
|
| 506 |
+
"language_model.model.layers.24.linear_attn.in_proj_a.weight": "model.safetensors",
|
| 507 |
+
"language_model.model.layers.24.linear_attn.in_proj_b.biases": "model.safetensors",
|
| 508 |
+
"language_model.model.layers.24.linear_attn.in_proj_b.scales": "model.safetensors",
|
| 509 |
+
"language_model.model.layers.24.linear_attn.in_proj_b.weight": "model.safetensors",
|
| 510 |
+
"language_model.model.layers.24.linear_attn.in_proj_qkv.biases": "model.safetensors",
|
| 511 |
+
"language_model.model.layers.24.linear_attn.in_proj_qkv.scales": "model.safetensors",
|
| 512 |
+
"language_model.model.layers.24.linear_attn.in_proj_qkv.weight": "model.safetensors",
|
| 513 |
+
"language_model.model.layers.24.linear_attn.in_proj_z.biases": "model.safetensors",
|
| 514 |
+
"language_model.model.layers.24.linear_attn.in_proj_z.scales": "model.safetensors",
|
| 515 |
+
"language_model.model.layers.24.linear_attn.in_proj_z.weight": "model.safetensors",
|
| 516 |
+
"language_model.model.layers.24.linear_attn.norm.weight": "model.safetensors",
|
| 517 |
+
"language_model.model.layers.24.linear_attn.out_proj.biases": "model.safetensors",
|
| 518 |
+
"language_model.model.layers.24.linear_attn.out_proj.scales": "model.safetensors",
|
| 519 |
+
"language_model.model.layers.24.linear_attn.out_proj.weight": "model.safetensors",
|
| 520 |
+
"language_model.model.layers.24.mlp.down_proj.biases": "model.safetensors",
|
| 521 |
+
"language_model.model.layers.24.mlp.down_proj.scales": "model.safetensors",
|
| 522 |
+
"language_model.model.layers.24.mlp.down_proj.weight": "model.safetensors",
|
| 523 |
+
"language_model.model.layers.24.mlp.gate_proj.biases": "model.safetensors",
|
| 524 |
+
"language_model.model.layers.24.mlp.gate_proj.scales": "model.safetensors",
|
| 525 |
+
"language_model.model.layers.24.mlp.gate_proj.weight": "model.safetensors",
|
| 526 |
+
"language_model.model.layers.24.mlp.up_proj.biases": "model.safetensors",
|
| 527 |
+
"language_model.model.layers.24.mlp.up_proj.scales": "model.safetensors",
|
| 528 |
+
"language_model.model.layers.24.mlp.up_proj.weight": "model.safetensors",
|
| 529 |
+
"language_model.model.layers.24.post_attention_layernorm.weight": "model.safetensors",
|
| 530 |
+
"language_model.model.layers.25.input_layernorm.weight": "model.safetensors",
|
| 531 |
+
"language_model.model.layers.25.linear_attn.A_log": "model.safetensors",
|
| 532 |
+
"language_model.model.layers.25.linear_attn.conv1d.weight": "model.safetensors",
|
| 533 |
+
"language_model.model.layers.25.linear_attn.dt_bias": "model.safetensors",
|
| 534 |
+
"language_model.model.layers.25.linear_attn.in_proj_a.biases": "model.safetensors",
|
| 535 |
+
"language_model.model.layers.25.linear_attn.in_proj_a.scales": "model.safetensors",
|
| 536 |
+
"language_model.model.layers.25.linear_attn.in_proj_a.weight": "model.safetensors",
|
| 537 |
+
"language_model.model.layers.25.linear_attn.in_proj_b.biases": "model.safetensors",
|
| 538 |
+
"language_model.model.layers.25.linear_attn.in_proj_b.scales": "model.safetensors",
|
| 539 |
+
"language_model.model.layers.25.linear_attn.in_proj_b.weight": "model.safetensors",
|
| 540 |
+
"language_model.model.layers.25.linear_attn.in_proj_qkv.biases": "model.safetensors",
|
| 541 |
+
"language_model.model.layers.25.linear_attn.in_proj_qkv.scales": "model.safetensors",
|
| 542 |
+
"language_model.model.layers.25.linear_attn.in_proj_qkv.weight": "model.safetensors",
|
| 543 |
+
"language_model.model.layers.25.linear_attn.in_proj_z.biases": "model.safetensors",
|
| 544 |
+
"language_model.model.layers.25.linear_attn.in_proj_z.scales": "model.safetensors",
|
| 545 |
+
"language_model.model.layers.25.linear_attn.in_proj_z.weight": "model.safetensors",
|
| 546 |
+
"language_model.model.layers.25.linear_attn.norm.weight": "model.safetensors",
|
| 547 |
+
"language_model.model.layers.25.linear_attn.out_proj.biases": "model.safetensors",
|
| 548 |
+
"language_model.model.layers.25.linear_attn.out_proj.scales": "model.safetensors",
|
| 549 |
+
"language_model.model.layers.25.linear_attn.out_proj.weight": "model.safetensors",
|
| 550 |
+
"language_model.model.layers.25.mlp.down_proj.biases": "model.safetensors",
|
| 551 |
+
"language_model.model.layers.25.mlp.down_proj.scales": "model.safetensors",
|
| 552 |
+
"language_model.model.layers.25.mlp.down_proj.weight": "model.safetensors",
|
| 553 |
+
"language_model.model.layers.25.mlp.gate_proj.biases": "model.safetensors",
|
| 554 |
+
"language_model.model.layers.25.mlp.gate_proj.scales": "model.safetensors",
|
| 555 |
+
"language_model.model.layers.25.mlp.gate_proj.weight": "model.safetensors",
|
| 556 |
+
"language_model.model.layers.25.mlp.up_proj.biases": "model.safetensors",
|
| 557 |
+
"language_model.model.layers.25.mlp.up_proj.scales": "model.safetensors",
|
| 558 |
+
"language_model.model.layers.25.mlp.up_proj.weight": "model.safetensors",
|
| 559 |
+
"language_model.model.layers.25.post_attention_layernorm.weight": "model.safetensors",
|
| 560 |
+
"language_model.model.layers.26.input_layernorm.weight": "model.safetensors",
|
| 561 |
+
"language_model.model.layers.26.linear_attn.A_log": "model.safetensors",
|
| 562 |
+
"language_model.model.layers.26.linear_attn.conv1d.weight": "model.safetensors",
|
| 563 |
+
"language_model.model.layers.26.linear_attn.dt_bias": "model.safetensors",
|
| 564 |
+
"language_model.model.layers.26.linear_attn.in_proj_a.biases": "model.safetensors",
|
| 565 |
+
"language_model.model.layers.26.linear_attn.in_proj_a.scales": "model.safetensors",
|
| 566 |
+
"language_model.model.layers.26.linear_attn.in_proj_a.weight": "model.safetensors",
|
| 567 |
+
"language_model.model.layers.26.linear_attn.in_proj_b.biases": "model.safetensors",
|
| 568 |
+
"language_model.model.layers.26.linear_attn.in_proj_b.scales": "model.safetensors",
|
| 569 |
+
"language_model.model.layers.26.linear_attn.in_proj_b.weight": "model.safetensors",
|
| 570 |
+
"language_model.model.layers.26.linear_attn.in_proj_qkv.biases": "model.safetensors",
|
| 571 |
+
"language_model.model.layers.26.linear_attn.in_proj_qkv.scales": "model.safetensors",
|
| 572 |
+
"language_model.model.layers.26.linear_attn.in_proj_qkv.weight": "model.safetensors",
|
| 573 |
+
"language_model.model.layers.26.linear_attn.in_proj_z.biases": "model.safetensors",
|
| 574 |
+
"language_model.model.layers.26.linear_attn.in_proj_z.scales": "model.safetensors",
|
| 575 |
+
"language_model.model.layers.26.linear_attn.in_proj_z.weight": "model.safetensors",
|
| 576 |
+
"language_model.model.layers.26.linear_attn.norm.weight": "model.safetensors",
|
| 577 |
+
"language_model.model.layers.26.linear_attn.out_proj.biases": "model.safetensors",
|
| 578 |
+
"language_model.model.layers.26.linear_attn.out_proj.scales": "model.safetensors",
|
| 579 |
+
"language_model.model.layers.26.linear_attn.out_proj.weight": "model.safetensors",
|
| 580 |
+
"language_model.model.layers.26.mlp.down_proj.biases": "model.safetensors",
|
| 581 |
+
"language_model.model.layers.26.mlp.down_proj.scales": "model.safetensors",
|
| 582 |
+
"language_model.model.layers.26.mlp.down_proj.weight": "model.safetensors",
|
| 583 |
+
"language_model.model.layers.26.mlp.gate_proj.biases": "model.safetensors",
|
| 584 |
+
"language_model.model.layers.26.mlp.gate_proj.scales": "model.safetensors",
|
| 585 |
+
"language_model.model.layers.26.mlp.gate_proj.weight": "model.safetensors",
|
| 586 |
+
"language_model.model.layers.26.mlp.up_proj.biases": "model.safetensors",
|
| 587 |
+
"language_model.model.layers.26.mlp.up_proj.scales": "model.safetensors",
|
| 588 |
+
"language_model.model.layers.26.mlp.up_proj.weight": "model.safetensors",
|
| 589 |
+
"language_model.model.layers.26.post_attention_layernorm.weight": "model.safetensors",
|
| 590 |
+
"language_model.model.layers.27.input_layernorm.weight": "model.safetensors",
|
| 591 |
+
"language_model.model.layers.27.mlp.down_proj.biases": "model.safetensors",
|
| 592 |
+
"language_model.model.layers.27.mlp.down_proj.scales": "model.safetensors",
|
| 593 |
+
"language_model.model.layers.27.mlp.down_proj.weight": "model.safetensors",
|
| 594 |
+
"language_model.model.layers.27.mlp.gate_proj.biases": "model.safetensors",
|
| 595 |
+
"language_model.model.layers.27.mlp.gate_proj.scales": "model.safetensors",
|
| 596 |
+
"language_model.model.layers.27.mlp.gate_proj.weight": "model.safetensors",
|
| 597 |
+
"language_model.model.layers.27.mlp.up_proj.biases": "model.safetensors",
|
| 598 |
+
"language_model.model.layers.27.mlp.up_proj.scales": "model.safetensors",
|
| 599 |
+
"language_model.model.layers.27.mlp.up_proj.weight": "model.safetensors",
|
| 600 |
+
"language_model.model.layers.27.post_attention_layernorm.weight": "model.safetensors",
|
| 601 |
+
"language_model.model.layers.27.self_attn.k_norm.weight": "model.safetensors",
|
| 602 |
+
"language_model.model.layers.27.self_attn.k_proj.biases": "model.safetensors",
|
| 603 |
+
"language_model.model.layers.27.self_attn.k_proj.scales": "model.safetensors",
|
| 604 |
+
"language_model.model.layers.27.self_attn.k_proj.weight": "model.safetensors",
|
| 605 |
+
"language_model.model.layers.27.self_attn.o_proj.biases": "model.safetensors",
|
| 606 |
+
"language_model.model.layers.27.self_attn.o_proj.scales": "model.safetensors",
|
| 607 |
+
"language_model.model.layers.27.self_attn.o_proj.weight": "model.safetensors",
|
| 608 |
+
"language_model.model.layers.27.self_attn.q_norm.weight": "model.safetensors",
|
| 609 |
+
"language_model.model.layers.27.self_attn.q_proj.biases": "model.safetensors",
|
| 610 |
+
"language_model.model.layers.27.self_attn.q_proj.scales": "model.safetensors",
|
| 611 |
+
"language_model.model.layers.27.self_attn.q_proj.weight": "model.safetensors",
|
| 612 |
+
"language_model.model.layers.27.self_attn.v_proj.biases": "model.safetensors",
|
| 613 |
+
"language_model.model.layers.27.self_attn.v_proj.scales": "model.safetensors",
|
| 614 |
+
"language_model.model.layers.27.self_attn.v_proj.weight": "model.safetensors",
|
| 615 |
+
"language_model.model.layers.28.input_layernorm.weight": "model.safetensors",
|
| 616 |
+
"language_model.model.layers.28.linear_attn.A_log": "model.safetensors",
|
| 617 |
+
"language_model.model.layers.28.linear_attn.conv1d.weight": "model.safetensors",
|
| 618 |
+
"language_model.model.layers.28.linear_attn.dt_bias": "model.safetensors",
|
| 619 |
+
"language_model.model.layers.28.linear_attn.in_proj_a.biases": "model.safetensors",
|
| 620 |
+
"language_model.model.layers.28.linear_attn.in_proj_a.scales": "model.safetensors",
|
| 621 |
+
"language_model.model.layers.28.linear_attn.in_proj_a.weight": "model.safetensors",
|
| 622 |
+
"language_model.model.layers.28.linear_attn.in_proj_b.biases": "model.safetensors",
|
| 623 |
+
"language_model.model.layers.28.linear_attn.in_proj_b.scales": "model.safetensors",
|
| 624 |
+
"language_model.model.layers.28.linear_attn.in_proj_b.weight": "model.safetensors",
|
| 625 |
+
"language_model.model.layers.28.linear_attn.in_proj_qkv.biases": "model.safetensors",
|
| 626 |
+
"language_model.model.layers.28.linear_attn.in_proj_qkv.scales": "model.safetensors",
|
| 627 |
+
"language_model.model.layers.28.linear_attn.in_proj_qkv.weight": "model.safetensors",
|
| 628 |
+
"language_model.model.layers.28.linear_attn.in_proj_z.biases": "model.safetensors",
|
| 629 |
+
"language_model.model.layers.28.linear_attn.in_proj_z.scales": "model.safetensors",
|
| 630 |
+
"language_model.model.layers.28.linear_attn.in_proj_z.weight": "model.safetensors",
|
| 631 |
+
"language_model.model.layers.28.linear_attn.norm.weight": "model.safetensors",
|
| 632 |
+
"language_model.model.layers.28.linear_attn.out_proj.biases": "model.safetensors",
|
| 633 |
+
"language_model.model.layers.28.linear_attn.out_proj.scales": "model.safetensors",
|
| 634 |
+
"language_model.model.layers.28.linear_attn.out_proj.weight": "model.safetensors",
|
| 635 |
+
"language_model.model.layers.28.mlp.down_proj.biases": "model.safetensors",
|
| 636 |
+
"language_model.model.layers.28.mlp.down_proj.scales": "model.safetensors",
|
| 637 |
+
"language_model.model.layers.28.mlp.down_proj.weight": "model.safetensors",
|
| 638 |
+
"language_model.model.layers.28.mlp.gate_proj.biases": "model.safetensors",
|
| 639 |
+
"language_model.model.layers.28.mlp.gate_proj.scales": "model.safetensors",
|
| 640 |
+
"language_model.model.layers.28.mlp.gate_proj.weight": "model.safetensors",
|
| 641 |
+
"language_model.model.layers.28.mlp.up_proj.biases": "model.safetensors",
|
| 642 |
+
"language_model.model.layers.28.mlp.up_proj.scales": "model.safetensors",
|
| 643 |
+
"language_model.model.layers.28.mlp.up_proj.weight": "model.safetensors",
|
| 644 |
+
"language_model.model.layers.28.post_attention_layernorm.weight": "model.safetensors",
|
| 645 |
+
"language_model.model.layers.29.input_layernorm.weight": "model.safetensors",
|
| 646 |
+
"language_model.model.layers.29.linear_attn.A_log": "model.safetensors",
|
| 647 |
+
"language_model.model.layers.29.linear_attn.conv1d.weight": "model.safetensors",
|
| 648 |
+
"language_model.model.layers.29.linear_attn.dt_bias": "model.safetensors",
|
| 649 |
+
"language_model.model.layers.29.linear_attn.in_proj_a.biases": "model.safetensors",
|
| 650 |
+
"language_model.model.layers.29.linear_attn.in_proj_a.scales": "model.safetensors",
|
| 651 |
+
"language_model.model.layers.29.linear_attn.in_proj_a.weight": "model.safetensors",
|
| 652 |
+
"language_model.model.layers.29.linear_attn.in_proj_b.biases": "model.safetensors",
|
| 653 |
+
"language_model.model.layers.29.linear_attn.in_proj_b.scales": "model.safetensors",
|
| 654 |
+
"language_model.model.layers.29.linear_attn.in_proj_b.weight": "model.safetensors",
|
| 655 |
+
"language_model.model.layers.29.linear_attn.in_proj_qkv.biases": "model.safetensors",
|
| 656 |
+
"language_model.model.layers.29.linear_attn.in_proj_qkv.scales": "model.safetensors",
|
| 657 |
+
"language_model.model.layers.29.linear_attn.in_proj_qkv.weight": "model.safetensors",
|
| 658 |
+
"language_model.model.layers.29.linear_attn.in_proj_z.biases": "model.safetensors",
|
| 659 |
+
"language_model.model.layers.29.linear_attn.in_proj_z.scales": "model.safetensors",
|
| 660 |
+
"language_model.model.layers.29.linear_attn.in_proj_z.weight": "model.safetensors",
|
| 661 |
+
"language_model.model.layers.29.linear_attn.norm.weight": "model.safetensors",
|
| 662 |
+
"language_model.model.layers.29.linear_attn.out_proj.biases": "model.safetensors",
|
| 663 |
+
"language_model.model.layers.29.linear_attn.out_proj.scales": "model.safetensors",
|
| 664 |
+
"language_model.model.layers.29.linear_attn.out_proj.weight": "model.safetensors",
|
| 665 |
+
"language_model.model.layers.29.mlp.down_proj.biases": "model.safetensors",
|
| 666 |
+
"language_model.model.layers.29.mlp.down_proj.scales": "model.safetensors",
|
| 667 |
+
"language_model.model.layers.29.mlp.down_proj.weight": "model.safetensors",
|
| 668 |
+
"language_model.model.layers.29.mlp.gate_proj.biases": "model.safetensors",
|
| 669 |
+
"language_model.model.layers.29.mlp.gate_proj.scales": "model.safetensors",
|
| 670 |
+
"language_model.model.layers.29.mlp.gate_proj.weight": "model.safetensors",
|
| 671 |
+
"language_model.model.layers.29.mlp.up_proj.biases": "model.safetensors",
|
| 672 |
+
"language_model.model.layers.29.mlp.up_proj.scales": "model.safetensors",
|
| 673 |
+
"language_model.model.layers.29.mlp.up_proj.weight": "model.safetensors",
|
| 674 |
+
"language_model.model.layers.29.post_attention_layernorm.weight": "model.safetensors",
|
| 675 |
+
"language_model.model.layers.3.input_layernorm.weight": "model.safetensors",
|
| 676 |
+
"language_model.model.layers.3.mlp.down_proj.biases": "model.safetensors",
|
| 677 |
+
"language_model.model.layers.3.mlp.down_proj.scales": "model.safetensors",
|
| 678 |
+
"language_model.model.layers.3.mlp.down_proj.weight": "model.safetensors",
|
| 679 |
+
"language_model.model.layers.3.mlp.gate_proj.biases": "model.safetensors",
|
| 680 |
+
"language_model.model.layers.3.mlp.gate_proj.scales": "model.safetensors",
|
| 681 |
+
"language_model.model.layers.3.mlp.gate_proj.weight": "model.safetensors",
|
| 682 |
+
"language_model.model.layers.3.mlp.up_proj.biases": "model.safetensors",
|
| 683 |
+
"language_model.model.layers.3.mlp.up_proj.scales": "model.safetensors",
|
| 684 |
+
"language_model.model.layers.3.mlp.up_proj.weight": "model.safetensors",
|
| 685 |
+
"language_model.model.layers.3.post_attention_layernorm.weight": "model.safetensors",
|
| 686 |
+
"language_model.model.layers.3.self_attn.k_norm.weight": "model.safetensors",
|
| 687 |
+
"language_model.model.layers.3.self_attn.k_proj.biases": "model.safetensors",
|
| 688 |
+
"language_model.model.layers.3.self_attn.k_proj.scales": "model.safetensors",
|
| 689 |
+
"language_model.model.layers.3.self_attn.k_proj.weight": "model.safetensors",
|
| 690 |
+
"language_model.model.layers.3.self_attn.o_proj.biases": "model.safetensors",
|
| 691 |
+
"language_model.model.layers.3.self_attn.o_proj.scales": "model.safetensors",
|
| 692 |
+
"language_model.model.layers.3.self_attn.o_proj.weight": "model.safetensors",
|
| 693 |
+
"language_model.model.layers.3.self_attn.q_norm.weight": "model.safetensors",
|
| 694 |
+
"language_model.model.layers.3.self_attn.q_proj.biases": "model.safetensors",
|
| 695 |
+
"language_model.model.layers.3.self_attn.q_proj.scales": "model.safetensors",
|
| 696 |
+
"language_model.model.layers.3.self_attn.q_proj.weight": "model.safetensors",
|
| 697 |
+
"language_model.model.layers.3.self_attn.v_proj.biases": "model.safetensors",
|
| 698 |
+
"language_model.model.layers.3.self_attn.v_proj.scales": "model.safetensors",
|
| 699 |
+
"language_model.model.layers.3.self_attn.v_proj.weight": "model.safetensors",
|
| 700 |
+
"language_model.model.layers.30.input_layernorm.weight": "model.safetensors",
|
| 701 |
+
"language_model.model.layers.30.linear_attn.A_log": "model.safetensors",
|
| 702 |
+
"language_model.model.layers.30.linear_attn.conv1d.weight": "model.safetensors",
|
| 703 |
+
"language_model.model.layers.30.linear_attn.dt_bias": "model.safetensors",
|
| 704 |
+
"language_model.model.layers.30.linear_attn.in_proj_a.biases": "model.safetensors",
|
| 705 |
+
"language_model.model.layers.30.linear_attn.in_proj_a.scales": "model.safetensors",
|
| 706 |
+
"language_model.model.layers.30.linear_attn.in_proj_a.weight": "model.safetensors",
|
| 707 |
+
"language_model.model.layers.30.linear_attn.in_proj_b.biases": "model.safetensors",
|
| 708 |
+
"language_model.model.layers.30.linear_attn.in_proj_b.scales": "model.safetensors",
|
| 709 |
+
"language_model.model.layers.30.linear_attn.in_proj_b.weight": "model.safetensors",
|
| 710 |
+
"language_model.model.layers.30.linear_attn.in_proj_qkv.biases": "model.safetensors",
|
| 711 |
+
"language_model.model.layers.30.linear_attn.in_proj_qkv.scales": "model.safetensors",
|
| 712 |
+
"language_model.model.layers.30.linear_attn.in_proj_qkv.weight": "model.safetensors",
|
| 713 |
+
"language_model.model.layers.30.linear_attn.in_proj_z.biases": "model.safetensors",
|
| 714 |
+
"language_model.model.layers.30.linear_attn.in_proj_z.scales": "model.safetensors",
|
| 715 |
+
"language_model.model.layers.30.linear_attn.in_proj_z.weight": "model.safetensors",
|
| 716 |
+
"language_model.model.layers.30.linear_attn.norm.weight": "model.safetensors",
|
| 717 |
+
"language_model.model.layers.30.linear_attn.out_proj.biases": "model.safetensors",
|
| 718 |
+
"language_model.model.layers.30.linear_attn.out_proj.scales": "model.safetensors",
|
| 719 |
+
"language_model.model.layers.30.linear_attn.out_proj.weight": "model.safetensors",
|
| 720 |
+
"language_model.model.layers.30.mlp.down_proj.biases": "model.safetensors",
|
| 721 |
+
"language_model.model.layers.30.mlp.down_proj.scales": "model.safetensors",
|
| 722 |
+
"language_model.model.layers.30.mlp.down_proj.weight": "model.safetensors",
|
| 723 |
+
"language_model.model.layers.30.mlp.gate_proj.biases": "model.safetensors",
|
| 724 |
+
"language_model.model.layers.30.mlp.gate_proj.scales": "model.safetensors",
|
| 725 |
+
"language_model.model.layers.30.mlp.gate_proj.weight": "model.safetensors",
|
| 726 |
+
"language_model.model.layers.30.mlp.up_proj.biases": "model.safetensors",
|
| 727 |
+
"language_model.model.layers.30.mlp.up_proj.scales": "model.safetensors",
|
| 728 |
+
"language_model.model.layers.30.mlp.up_proj.weight": "model.safetensors",
|
| 729 |
+
"language_model.model.layers.30.post_attention_layernorm.weight": "model.safetensors",
|
| 730 |
+
"language_model.model.layers.31.input_layernorm.weight": "model.safetensors",
|
| 731 |
+
"language_model.model.layers.31.mlp.down_proj.biases": "model.safetensors",
|
| 732 |
+
"language_model.model.layers.31.mlp.down_proj.scales": "model.safetensors",
|
| 733 |
+
"language_model.model.layers.31.mlp.down_proj.weight": "model.safetensors",
|
| 734 |
+
"language_model.model.layers.31.mlp.gate_proj.biases": "model.safetensors",
|
| 735 |
+
"language_model.model.layers.31.mlp.gate_proj.scales": "model.safetensors",
|
| 736 |
+
"language_model.model.layers.31.mlp.gate_proj.weight": "model.safetensors",
|
| 737 |
+
"language_model.model.layers.31.mlp.up_proj.biases": "model.safetensors",
|
| 738 |
+
"language_model.model.layers.31.mlp.up_proj.scales": "model.safetensors",
|
| 739 |
+
"language_model.model.layers.31.mlp.up_proj.weight": "model.safetensors",
|
| 740 |
+
"language_model.model.layers.31.post_attention_layernorm.weight": "model.safetensors",
|
| 741 |
+
"language_model.model.layers.31.self_attn.k_norm.weight": "model.safetensors",
|
| 742 |
+
"language_model.model.layers.31.self_attn.k_proj.biases": "model.safetensors",
|
| 743 |
+
"language_model.model.layers.31.self_attn.k_proj.scales": "model.safetensors",
|
| 744 |
+
"language_model.model.layers.31.self_attn.k_proj.weight": "model.safetensors",
|
| 745 |
+
"language_model.model.layers.31.self_attn.o_proj.biases": "model.safetensors",
|
| 746 |
+
"language_model.model.layers.31.self_attn.o_proj.scales": "model.safetensors",
|
| 747 |
+
"language_model.model.layers.31.self_attn.o_proj.weight": "model.safetensors",
|
| 748 |
+
"language_model.model.layers.31.self_attn.q_norm.weight": "model.safetensors",
|
| 749 |
+
"language_model.model.layers.31.self_attn.q_proj.biases": "model.safetensors",
|
| 750 |
+
"language_model.model.layers.31.self_attn.q_proj.scales": "model.safetensors",
|
| 751 |
+
"language_model.model.layers.31.self_attn.q_proj.weight": "model.safetensors",
|
| 752 |
+
"language_model.model.layers.31.self_attn.v_proj.biases": "model.safetensors",
|
| 753 |
+
"language_model.model.layers.31.self_attn.v_proj.scales": "model.safetensors",
|
| 754 |
+
"language_model.model.layers.31.self_attn.v_proj.weight": "model.safetensors",
|
| 755 |
+
"language_model.model.layers.4.input_layernorm.weight": "model.safetensors",
|
| 756 |
+
"language_model.model.layers.4.linear_attn.A_log": "model.safetensors",
|
| 757 |
+
"language_model.model.layers.4.linear_attn.conv1d.weight": "model.safetensors",
|
| 758 |
+
"language_model.model.layers.4.linear_attn.dt_bias": "model.safetensors",
|
| 759 |
+
"language_model.model.layers.4.linear_attn.in_proj_a.biases": "model.safetensors",
|
| 760 |
+
"language_model.model.layers.4.linear_attn.in_proj_a.scales": "model.safetensors",
|
| 761 |
+
"language_model.model.layers.4.linear_attn.in_proj_a.weight": "model.safetensors",
|
| 762 |
+
"language_model.model.layers.4.linear_attn.in_proj_b.biases": "model.safetensors",
|
| 763 |
+
"language_model.model.layers.4.linear_attn.in_proj_b.scales": "model.safetensors",
|
| 764 |
+
"language_model.model.layers.4.linear_attn.in_proj_b.weight": "model.safetensors",
|
| 765 |
+
"language_model.model.layers.4.linear_attn.in_proj_qkv.biases": "model.safetensors",
|
| 766 |
+
"language_model.model.layers.4.linear_attn.in_proj_qkv.scales": "model.safetensors",
|
| 767 |
+
"language_model.model.layers.4.linear_attn.in_proj_qkv.weight": "model.safetensors",
|
| 768 |
+
"language_model.model.layers.4.linear_attn.in_proj_z.biases": "model.safetensors",
|
| 769 |
+
"language_model.model.layers.4.linear_attn.in_proj_z.scales": "model.safetensors",
|
| 770 |
+
"language_model.model.layers.4.linear_attn.in_proj_z.weight": "model.safetensors",
|
| 771 |
+
"language_model.model.layers.4.linear_attn.norm.weight": "model.safetensors",
|
| 772 |
+
"language_model.model.layers.4.linear_attn.out_proj.biases": "model.safetensors",
|
| 773 |
+
"language_model.model.layers.4.linear_attn.out_proj.scales": "model.safetensors",
|
| 774 |
+
"language_model.model.layers.4.linear_attn.out_proj.weight": "model.safetensors",
|
| 775 |
+
"language_model.model.layers.4.mlp.down_proj.biases": "model.safetensors",
|
| 776 |
+
"language_model.model.layers.4.mlp.down_proj.scales": "model.safetensors",
|
| 777 |
+
"language_model.model.layers.4.mlp.down_proj.weight": "model.safetensors",
|
| 778 |
+
"language_model.model.layers.4.mlp.gate_proj.biases": "model.safetensors",
|
| 779 |
+
"language_model.model.layers.4.mlp.gate_proj.scales": "model.safetensors",
|
| 780 |
+
"language_model.model.layers.4.mlp.gate_proj.weight": "model.safetensors",
|
| 781 |
+
"language_model.model.layers.4.mlp.up_proj.biases": "model.safetensors",
|
| 782 |
+
"language_model.model.layers.4.mlp.up_proj.scales": "model.safetensors",
|
| 783 |
+
"language_model.model.layers.4.mlp.up_proj.weight": "model.safetensors",
|
| 784 |
+
"language_model.model.layers.4.post_attention_layernorm.weight": "model.safetensors",
|
| 785 |
+
"language_model.model.layers.5.input_layernorm.weight": "model.safetensors",
|
| 786 |
+
"language_model.model.layers.5.linear_attn.A_log": "model.safetensors",
|
| 787 |
+
"language_model.model.layers.5.linear_attn.conv1d.weight": "model.safetensors",
|
| 788 |
+
"language_model.model.layers.5.linear_attn.dt_bias": "model.safetensors",
|
| 789 |
+
"language_model.model.layers.5.linear_attn.in_proj_a.biases": "model.safetensors",
|
| 790 |
+
"language_model.model.layers.5.linear_attn.in_proj_a.scales": "model.safetensors",
|
| 791 |
+
"language_model.model.layers.5.linear_attn.in_proj_a.weight": "model.safetensors",
|
| 792 |
+
"language_model.model.layers.5.linear_attn.in_proj_b.biases": "model.safetensors",
|
| 793 |
+
"language_model.model.layers.5.linear_attn.in_proj_b.scales": "model.safetensors",
|
| 794 |
+
"language_model.model.layers.5.linear_attn.in_proj_b.weight": "model.safetensors",
|
| 795 |
+
"language_model.model.layers.5.linear_attn.in_proj_qkv.biases": "model.safetensors",
|
| 796 |
+
"language_model.model.layers.5.linear_attn.in_proj_qkv.scales": "model.safetensors",
|
| 797 |
+
"language_model.model.layers.5.linear_attn.in_proj_qkv.weight": "model.safetensors",
|
| 798 |
+
"language_model.model.layers.5.linear_attn.in_proj_z.biases": "model.safetensors",
|
| 799 |
+
"language_model.model.layers.5.linear_attn.in_proj_z.scales": "model.safetensors",
|
| 800 |
+
"language_model.model.layers.5.linear_attn.in_proj_z.weight": "model.safetensors",
|
| 801 |
+
"language_model.model.layers.5.linear_attn.norm.weight": "model.safetensors",
|
| 802 |
+
"language_model.model.layers.5.linear_attn.out_proj.biases": "model.safetensors",
|
| 803 |
+
"language_model.model.layers.5.linear_attn.out_proj.scales": "model.safetensors",
|
| 804 |
+
"language_model.model.layers.5.linear_attn.out_proj.weight": "model.safetensors",
|
| 805 |
+
"language_model.model.layers.5.mlp.down_proj.biases": "model.safetensors",
|
| 806 |
+
"language_model.model.layers.5.mlp.down_proj.scales": "model.safetensors",
|
| 807 |
+
"language_model.model.layers.5.mlp.down_proj.weight": "model.safetensors",
|
| 808 |
+
"language_model.model.layers.5.mlp.gate_proj.biases": "model.safetensors",
|
| 809 |
+
"language_model.model.layers.5.mlp.gate_proj.scales": "model.safetensors",
|
| 810 |
+
"language_model.model.layers.5.mlp.gate_proj.weight": "model.safetensors",
|
| 811 |
+
"language_model.model.layers.5.mlp.up_proj.biases": "model.safetensors",
|
| 812 |
+
"language_model.model.layers.5.mlp.up_proj.scales": "model.safetensors",
|
| 813 |
+
"language_model.model.layers.5.mlp.up_proj.weight": "model.safetensors",
|
| 814 |
+
"language_model.model.layers.5.post_attention_layernorm.weight": "model.safetensors",
|
| 815 |
+
"language_model.model.layers.6.input_layernorm.weight": "model.safetensors",
|
| 816 |
+
"language_model.model.layers.6.linear_attn.A_log": "model.safetensors",
|
| 817 |
+
"language_model.model.layers.6.linear_attn.conv1d.weight": "model.safetensors",
|
| 818 |
+
"language_model.model.layers.6.linear_attn.dt_bias": "model.safetensors",
|
| 819 |
+
"language_model.model.layers.6.linear_attn.in_proj_a.biases": "model.safetensors",
|
| 820 |
+
"language_model.model.layers.6.linear_attn.in_proj_a.scales": "model.safetensors",
|
| 821 |
+
"language_model.model.layers.6.linear_attn.in_proj_a.weight": "model.safetensors",
|
| 822 |
+
"language_model.model.layers.6.linear_attn.in_proj_b.biases": "model.safetensors",
|
| 823 |
+
"language_model.model.layers.6.linear_attn.in_proj_b.scales": "model.safetensors",
|
| 824 |
+
"language_model.model.layers.6.linear_attn.in_proj_b.weight": "model.safetensors",
|
| 825 |
+
"language_model.model.layers.6.linear_attn.in_proj_qkv.biases": "model.safetensors",
|
| 826 |
+
"language_model.model.layers.6.linear_attn.in_proj_qkv.scales": "model.safetensors",
|
| 827 |
+
"language_model.model.layers.6.linear_attn.in_proj_qkv.weight": "model.safetensors",
|
| 828 |
+
"language_model.model.layers.6.linear_attn.in_proj_z.biases": "model.safetensors",
|
| 829 |
+
"language_model.model.layers.6.linear_attn.in_proj_z.scales": "model.safetensors",
|
| 830 |
+
"language_model.model.layers.6.linear_attn.in_proj_z.weight": "model.safetensors",
|
| 831 |
+
"language_model.model.layers.6.linear_attn.norm.weight": "model.safetensors",
|
| 832 |
+
"language_model.model.layers.6.linear_attn.out_proj.biases": "model.safetensors",
|
| 833 |
+
"language_model.model.layers.6.linear_attn.out_proj.scales": "model.safetensors",
|
| 834 |
+
"language_model.model.layers.6.linear_attn.out_proj.weight": "model.safetensors",
|
| 835 |
+
"language_model.model.layers.6.mlp.down_proj.biases": "model.safetensors",
|
| 836 |
+
"language_model.model.layers.6.mlp.down_proj.scales": "model.safetensors",
|
| 837 |
+
"language_model.model.layers.6.mlp.down_proj.weight": "model.safetensors",
|
| 838 |
+
"language_model.model.layers.6.mlp.gate_proj.biases": "model.safetensors",
|
| 839 |
+
"language_model.model.layers.6.mlp.gate_proj.scales": "model.safetensors",
|
| 840 |
+
"language_model.model.layers.6.mlp.gate_proj.weight": "model.safetensors",
|
| 841 |
+
"language_model.model.layers.6.mlp.up_proj.biases": "model.safetensors",
|
| 842 |
+
"language_model.model.layers.6.mlp.up_proj.scales": "model.safetensors",
|
| 843 |
+
"language_model.model.layers.6.mlp.up_proj.weight": "model.safetensors",
|
| 844 |
+
"language_model.model.layers.6.post_attention_layernorm.weight": "model.safetensors",
|
| 845 |
+
"language_model.model.layers.7.input_layernorm.weight": "model.safetensors",
|
| 846 |
+
"language_model.model.layers.7.mlp.down_proj.biases": "model.safetensors",
|
| 847 |
+
"language_model.model.layers.7.mlp.down_proj.scales": "model.safetensors",
|
| 848 |
+
"language_model.model.layers.7.mlp.down_proj.weight": "model.safetensors",
|
| 849 |
+
"language_model.model.layers.7.mlp.gate_proj.biases": "model.safetensors",
|
| 850 |
+
"language_model.model.layers.7.mlp.gate_proj.scales": "model.safetensors",
|
| 851 |
+
"language_model.model.layers.7.mlp.gate_proj.weight": "model.safetensors",
|
| 852 |
+
"language_model.model.layers.7.mlp.up_proj.biases": "model.safetensors",
|
| 853 |
+
"language_model.model.layers.7.mlp.up_proj.scales": "model.safetensors",
|
| 854 |
+
"language_model.model.layers.7.mlp.up_proj.weight": "model.safetensors",
|
| 855 |
+
"language_model.model.layers.7.post_attention_layernorm.weight": "model.safetensors",
|
| 856 |
+
"language_model.model.layers.7.self_attn.k_norm.weight": "model.safetensors",
|
| 857 |
+
"language_model.model.layers.7.self_attn.k_proj.biases": "model.safetensors",
|
| 858 |
+
"language_model.model.layers.7.self_attn.k_proj.scales": "model.safetensors",
|
| 859 |
+
"language_model.model.layers.7.self_attn.k_proj.weight": "model.safetensors",
|
| 860 |
+
"language_model.model.layers.7.self_attn.o_proj.biases": "model.safetensors",
|
| 861 |
+
"language_model.model.layers.7.self_attn.o_proj.scales": "model.safetensors",
|
| 862 |
+
"language_model.model.layers.7.self_attn.o_proj.weight": "model.safetensors",
|
| 863 |
+
"language_model.model.layers.7.self_attn.q_norm.weight": "model.safetensors",
|
| 864 |
+
"language_model.model.layers.7.self_attn.q_proj.biases": "model.safetensors",
|
| 865 |
+
"language_model.model.layers.7.self_attn.q_proj.scales": "model.safetensors",
|
| 866 |
+
"language_model.model.layers.7.self_attn.q_proj.weight": "model.safetensors",
|
| 867 |
+
"language_model.model.layers.7.self_attn.v_proj.biases": "model.safetensors",
|
| 868 |
+
"language_model.model.layers.7.self_attn.v_proj.scales": "model.safetensors",
|
| 869 |
+
"language_model.model.layers.7.self_attn.v_proj.weight": "model.safetensors",
|
| 870 |
+
"language_model.model.layers.8.input_layernorm.weight": "model.safetensors",
|
| 871 |
+
"language_model.model.layers.8.linear_attn.A_log": "model.safetensors",
|
| 872 |
+
"language_model.model.layers.8.linear_attn.conv1d.weight": "model.safetensors",
|
| 873 |
+
"language_model.model.layers.8.linear_attn.dt_bias": "model.safetensors",
|
| 874 |
+
"language_model.model.layers.8.linear_attn.in_proj_a.biases": "model.safetensors",
|
| 875 |
+
"language_model.model.layers.8.linear_attn.in_proj_a.scales": "model.safetensors",
|
| 876 |
+
"language_model.model.layers.8.linear_attn.in_proj_a.weight": "model.safetensors",
|
| 877 |
+
"language_model.model.layers.8.linear_attn.in_proj_b.biases": "model.safetensors",
|
| 878 |
+
"language_model.model.layers.8.linear_attn.in_proj_b.scales": "model.safetensors",
|
| 879 |
+
"language_model.model.layers.8.linear_attn.in_proj_b.weight": "model.safetensors",
|
| 880 |
+
"language_model.model.layers.8.linear_attn.in_proj_qkv.biases": "model.safetensors",
|
| 881 |
+
"language_model.model.layers.8.linear_attn.in_proj_qkv.scales": "model.safetensors",
|
| 882 |
+
"language_model.model.layers.8.linear_attn.in_proj_qkv.weight": "model.safetensors",
|
| 883 |
+
"language_model.model.layers.8.linear_attn.in_proj_z.biases": "model.safetensors",
|
| 884 |
+
"language_model.model.layers.8.linear_attn.in_proj_z.scales": "model.safetensors",
|
| 885 |
+
"language_model.model.layers.8.linear_attn.in_proj_z.weight": "model.safetensors",
|
| 886 |
+
"language_model.model.layers.8.linear_attn.norm.weight": "model.safetensors",
|
| 887 |
+
"language_model.model.layers.8.linear_attn.out_proj.biases": "model.safetensors",
|
| 888 |
+
"language_model.model.layers.8.linear_attn.out_proj.scales": "model.safetensors",
|
| 889 |
+
"language_model.model.layers.8.linear_attn.out_proj.weight": "model.safetensors",
|
| 890 |
+
"language_model.model.layers.8.mlp.down_proj.biases": "model.safetensors",
|
| 891 |
+
"language_model.model.layers.8.mlp.down_proj.scales": "model.safetensors",
|
| 892 |
+
"language_model.model.layers.8.mlp.down_proj.weight": "model.safetensors",
|
| 893 |
+
"language_model.model.layers.8.mlp.gate_proj.biases": "model.safetensors",
|
| 894 |
+
"language_model.model.layers.8.mlp.gate_proj.scales": "model.safetensors",
|
| 895 |
+
"language_model.model.layers.8.mlp.gate_proj.weight": "model.safetensors",
|
| 896 |
+
"language_model.model.layers.8.mlp.up_proj.biases": "model.safetensors",
|
| 897 |
+
"language_model.model.layers.8.mlp.up_proj.scales": "model.safetensors",
|
| 898 |
+
"language_model.model.layers.8.mlp.up_proj.weight": "model.safetensors",
|
| 899 |
+
"language_model.model.layers.8.post_attention_layernorm.weight": "model.safetensors",
|
| 900 |
+
"language_model.model.layers.9.input_layernorm.weight": "model.safetensors",
|
| 901 |
+
"language_model.model.layers.9.linear_attn.A_log": "model.safetensors",
|
| 902 |
+
"language_model.model.layers.9.linear_attn.conv1d.weight": "model.safetensors",
|
| 903 |
+
"language_model.model.layers.9.linear_attn.dt_bias": "model.safetensors",
|
| 904 |
+
"language_model.model.layers.9.linear_attn.in_proj_a.biases": "model.safetensors",
|
| 905 |
+
"language_model.model.layers.9.linear_attn.in_proj_a.scales": "model.safetensors",
|
| 906 |
+
"language_model.model.layers.9.linear_attn.in_proj_a.weight": "model.safetensors",
|
| 907 |
+
"language_model.model.layers.9.linear_attn.in_proj_b.biases": "model.safetensors",
|
| 908 |
+
"language_model.model.layers.9.linear_attn.in_proj_b.scales": "model.safetensors",
|
| 909 |
+
"language_model.model.layers.9.linear_attn.in_proj_b.weight": "model.safetensors",
|
| 910 |
+
"language_model.model.layers.9.linear_attn.in_proj_qkv.biases": "model.safetensors",
|
| 911 |
+
"language_model.model.layers.9.linear_attn.in_proj_qkv.scales": "model.safetensors",
|
| 912 |
+
"language_model.model.layers.9.linear_attn.in_proj_qkv.weight": "model.safetensors",
|
| 913 |
+
"language_model.model.layers.9.linear_attn.in_proj_z.biases": "model.safetensors",
|
| 914 |
+
"language_model.model.layers.9.linear_attn.in_proj_z.scales": "model.safetensors",
|
| 915 |
+
"language_model.model.layers.9.linear_attn.in_proj_z.weight": "model.safetensors",
|
| 916 |
+
"language_model.model.layers.9.linear_attn.norm.weight": "model.safetensors",
|
| 917 |
+
"language_model.model.layers.9.linear_attn.out_proj.biases": "model.safetensors",
|
| 918 |
+
"language_model.model.layers.9.linear_attn.out_proj.scales": "model.safetensors",
|
| 919 |
+
"language_model.model.layers.9.linear_attn.out_proj.weight": "model.safetensors",
|
| 920 |
+
"language_model.model.layers.9.mlp.down_proj.biases": "model.safetensors",
|
| 921 |
+
"language_model.model.layers.9.mlp.down_proj.scales": "model.safetensors",
|
| 922 |
+
"language_model.model.layers.9.mlp.down_proj.weight": "model.safetensors",
|
| 923 |
+
"language_model.model.layers.9.mlp.gate_proj.biases": "model.safetensors",
|
| 924 |
+
"language_model.model.layers.9.mlp.gate_proj.scales": "model.safetensors",
|
| 925 |
+
"language_model.model.layers.9.mlp.gate_proj.weight": "model.safetensors",
|
| 926 |
+
"language_model.model.layers.9.mlp.up_proj.biases": "model.safetensors",
|
| 927 |
+
"language_model.model.layers.9.mlp.up_proj.scales": "model.safetensors",
|
| 928 |
+
"language_model.model.layers.9.mlp.up_proj.weight": "model.safetensors",
|
| 929 |
+
"language_model.model.layers.9.post_attention_layernorm.weight": "model.safetensors",
|
| 930 |
+
"language_model.model.norm.weight": "model.safetensors"
|
| 931 |
+
}
|
| 932 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
|
| 3 |
+
size 19989325
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"audio_bos_token": "<|audio_start|>",
|
| 4 |
+
"audio_eos_token": "<|audio_end|>",
|
| 5 |
+
"audio_token": "<|audio_pad|>",
|
| 6 |
+
"backend": "tokenizers",
|
| 7 |
+
"bos_token": null,
|
| 8 |
+
"clean_up_tokenization_spaces": false,
|
| 9 |
+
"eos_token": "<|im_end|>",
|
| 10 |
+
"errors": "replace",
|
| 11 |
+
"image_token": "<|image_pad|>",
|
| 12 |
+
"is_local": true,
|
| 13 |
+
"local_files_only": false,
|
| 14 |
+
"model_max_length": 262144,
|
| 15 |
+
"model_specific_special_tokens": {
|
| 16 |
+
"audio_bos_token": "<|audio_start|>",
|
| 17 |
+
"audio_eos_token": "<|audio_end|>",
|
| 18 |
+
"audio_token": "<|audio_pad|>",
|
| 19 |
+
"image_token": "<|image_pad|>",
|
| 20 |
+
"video_token": "<|video_pad|>",
|
| 21 |
+
"vision_bos_token": "<|vision_start|>",
|
| 22 |
+
"vision_eos_token": "<|vision_end|>"
|
| 23 |
+
},
|
| 24 |
+
"pad_token": "<|endoftext|>",
|
| 25 |
+
"pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
|
| 26 |
+
"split_special_tokens": false,
|
| 27 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 28 |
+
"tool_parser_type": "qwen3_coder",
|
| 29 |
+
"unk_token": null,
|
| 30 |
+
"video_token": "<|video_pad|>",
|
| 31 |
+
"vision_bos_token": "<|vision_start|>",
|
| 32 |
+
"vision_eos_token": "<|vision_end|>"
|
| 33 |
+
}
|