Release MorphAct Pi0.5 PiperX sort letter step 20000
Browse files- README.md +47 -0
- adapter.safetensors +3 -0
- assets/Takizz/piperx-sortletter-0911-0917-140ep-raw/norm_stats.json +136 -0
- inference_config.json +108 -0
- metadata.json +1735 -0
- sha256sums.txt +5 -0
README.md
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
pipeline_tag: robotics
|
| 3 |
+
tags:
|
| 4 |
+
- morphact
|
| 5 |
+
- pi05
|
| 6 |
+
- piperx
|
| 7 |
+
- robot-learning
|
| 8 |
+
datasets:
|
| 9 |
+
- Takizz/piperx-sortletter-0911-0917-140ep-raw
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
# MorphAct Pi0.5: PiperX SortLetter
|
| 13 |
+
|
| 14 |
+
A MorphAct adapter trained on the PiperX sort letter dataset. This release is the final **optimizer step 20,000** of the 20,000-step training run. It has not been evaluated on the real robot; no task success rate is claimed.
|
| 15 |
+
|
| 16 |
+
## Contents and loading
|
| 17 |
+
|
| 18 |
+
`adapter.safetensors` contains the trained MorphAct generators and trainable vision/interface parameters. `metadata.json` preserves the adapter architecture and target manifest; the dataset normalization statistics and descriptive `inference_config.json` preserve preprocessing details.
|
| 19 |
+
|
| 20 |
+
Use the matching MorphAct Pi0.5 PyTorch adapter loader with the `pi05_piperx_sort_letter` config, or an equivalent config implementing the supplied inference contract. The training-specific Python config is not included in this weight repository. This checkpoint is an adapter rather than a standalone full base model.
|
| 21 |
+
|
| 22 |
+
Obtain an OpenPI-compatible Pi0.5 PyTorch base separately and supply its local file or directory with `--base-checkpoint`. The loader checks model type, tensor keys, and tensor shapes; it does not require a particular file SHA-256 or training-machine path. The base hash recorded in metadata is training provenance. Load this adapter on top of the base; optimizer state and base weights are not included.
|
| 23 |
+
|
| 24 |
+
The policy consumes three RGB cameras (right environment, left wrist, right wrist), a 14-dimensional native state, and the task prompt. Joint and gripper actions remain absolute targets in the dataset's original units, with no Aloha unit conversion or state subtraction. Quantile normalization uses the included statistics. Model vectors are padded to 32 dimensions; inference returns the first 14 dimensions. Actions are produced in chunks of 50 frames. Pi0.5 uses discrete state input and a 200-token limit.
|
| 25 |
+
|
| 26 |
+
## Training snapshot
|
| 27 |
+
|
| 28 |
+
| Setting | Value |
|
| 29 |
+
| --- | --- |
|
| 30 |
+
| Backbone | Pi0.5 |
|
| 31 |
+
| Saved optimizer step | 20,000 |
|
| 32 |
+
| Planned training steps | 20,000 |
|
| 33 |
+
| Dataset | [Takizz/piperx-sortletter-0911-0917-140ep-raw](https://huggingface.co/datasets/Takizz/piperx-sortletter-0911-0917-140ep-raw) |
|
| 34 |
+
| Dataset revision | `f3d743be7a21e8f9d0c5dd23c910ca50c0134ad1` |
|
| 35 |
+
| Data size | 140 episodes, 149,961 frames, 30 FPS |
|
| 36 |
+
| Global batch | 16 (2 GPUs, 8 samples per GPU, accumulation 1) |
|
| 37 |
+
| Learning rate | Peak 2.5e-5, 1,000 warmup steps, cosine decay to 2.5e-6 |
|
| 38 |
+
| Compute precision | bfloat16 |
|
| 39 |
+
| Seed | 42 |
|
| 40 |
+
| Generator width | 1,024 |
|
| 41 |
+
| Adapted layers | 8 VLM layers and 6 action layers |
|
| 42 |
+
| Source commit | `1d2bd070bf2a6a9f066601c09ab36cd489264178` |
|
| 43 |
+
| Public base commit at run start | `e5433de720523f020447e183861a097b902ba7b9` |
|
| 44 |
+
|
| 45 |
+
The training data was read through an RGB-only LeRobot v2.1-compatible view of the original v3 dataset. Numeric state/action values and RGB videos were preserved; action windows stop at episode boundaries.
|
| 46 |
+
|
| 47 |
+
`sha256sums.txt` records the payload checksums. The `step-20000` tag identifies this snapshot.
|
adapter.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4f7dcd98f829cc2310dd40cb23c97e080c648dc62f8fc00224ff55ba198785e9
|
| 3 |
+
size 2868399360
|
assets/Takizz/piperx-sortletter-0911-0917-140ep-raw/norm_stats.json
ADDED
|
@@ -0,0 +1,136 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"norm_stats": {
|
| 3 |
+
"state": {
|
| 4 |
+
"mean": [
|
| 5 |
+
-24.30291508030506,
|
| 6 |
+
48.147823293117426,
|
| 7 |
+
-29.606310918279988,
|
| 8 |
+
34.69589653139806,
|
| 9 |
+
8.257593581767798,
|
| 10 |
+
-16.7664622059641,
|
| 11 |
+
19.433185933565085,
|
| 12 |
+
21.092246340911757,
|
| 13 |
+
45.29053356578541,
|
| 14 |
+
-30.66987083817818,
|
| 15 |
+
35.466965136103106,
|
| 16 |
+
-7.339510095845969,
|
| 17 |
+
15.25617861816106,
|
| 18 |
+
15.023130652863747
|
| 19 |
+
],
|
| 20 |
+
"std": [
|
| 21 |
+
10.380966954555456,
|
| 22 |
+
46.768873532305086,
|
| 23 |
+
37.422702870258895,
|
| 24 |
+
16.2148068602263,
|
| 25 |
+
8.667311682118175,
|
| 26 |
+
9.702520143777557,
|
| 27 |
+
26.66523205538372,
|
| 28 |
+
10.89241467083355,
|
| 29 |
+
49.22356607213225,
|
| 30 |
+
38.70214828613827,
|
| 31 |
+
20.06440823525573,
|
| 32 |
+
9.729663071774098,
|
| 33 |
+
9.715471228300947,
|
| 34 |
+
20.72695769807686
|
| 35 |
+
],
|
| 36 |
+
"q01": [
|
| 37 |
+
-42.83349578666687,
|
| 38 |
+
-0.24300000071525574,
|
| 39 |
+
-106.66804608533383,
|
| 40 |
+
-1.5334548198699958,
|
| 41 |
+
-9.768162858581544,
|
| 42 |
+
-39.46476131439209,
|
| 43 |
+
0.0,
|
| 44 |
+
3.6489664230346675,
|
| 45 |
+
-0.48520421974658967,
|
| 46 |
+
-108.51245111073256,
|
| 47 |
+
-4.176509701538084,
|
| 48 |
+
-32.792408777618405,
|
| 49 |
+
-2.0960058753967274,
|
| 50 |
+
0.29072000663876535
|
| 51 |
+
],
|
| 52 |
+
"q99": [
|
| 53 |
+
0.07976079654693535,
|
| 54 |
+
129.3569192860782,
|
| 55 |
+
0.6906330031752503,
|
| 56 |
+
69.3145020664215,
|
| 57 |
+
30.790928385162353,
|
| 58 |
+
0.8438816257476844,
|
| 59 |
+
78.25019999999999,
|
| 60 |
+
46.61052405595779,
|
| 61 |
+
130.82184240055085,
|
| 62 |
+
0.746651018512253,
|
| 63 |
+
76.34543194618226,
|
| 64 |
+
10.889926143646235,
|
| 65 |
+
36.16603283195496,
|
| 66 |
+
65.29160262797774
|
| 67 |
+
]
|
| 68 |
+
},
|
| 69 |
+
"actions": {
|
| 70 |
+
"mean": [
|
| 71 |
+
-24.40454748438126,
|
| 72 |
+
47.91402171749807,
|
| 73 |
+
-29.984730217036297,
|
| 74 |
+
34.51888726685811,
|
| 75 |
+
8.086999825455575,
|
| 76 |
+
-16.905811057261126,
|
| 77 |
+
13.263226907269607,
|
| 78 |
+
21.099225966187163,
|
| 79 |
+
45.188952830967295,
|
| 80 |
+
-31.13561413414124,
|
| 81 |
+
35.31437637060847,
|
| 82 |
+
-7.5111267763416425,
|
| 83 |
+
15.214912308388172,
|
| 84 |
+
10.87343487511567
|
| 85 |
+
],
|
| 86 |
+
"std": [
|
| 87 |
+
10.475590004242735,
|
| 88 |
+
46.86517392787468,
|
| 89 |
+
37.300735562270596,
|
| 90 |
+
16.476446285186803,
|
| 91 |
+
8.798677599328128,
|
| 92 |
+
9.769795081162004,
|
| 93 |
+
25.38912539493816,
|
| 94 |
+
10.94809798346424,
|
| 95 |
+
49.172501936174676,
|
| 96 |
+
38.53010036701789,
|
| 97 |
+
20.342586486613985,
|
| 98 |
+
9.766134153714336,
|
| 99 |
+
9.930491980394713,
|
| 100 |
+
19.66833222697148
|
| 101 |
+
],
|
| 102 |
+
"q01": [
|
| 103 |
+
-43.03227122068405,
|
| 104 |
+
0.0,
|
| 105 |
+
-106.99840964355468,
|
| 106 |
+
-2.333478904724121,
|
| 107 |
+
-10.15018798828125,
|
| 108 |
+
-39.486091654586794,
|
| 109 |
+
0.0,
|
| 110 |
+
3.4851627873420714,
|
| 111 |
+
0.0,
|
| 112 |
+
-108.97351909484863,
|
| 113 |
+
-5.211436851501464,
|
| 114 |
+
-33.332347197723394,
|
| 115 |
+
-2.6989524078369147,
|
| 116 |
+
0.2746800109863281
|
| 117 |
+
],
|
| 118 |
+
"q99": [
|
| 119 |
+
0.46508252820968465,
|
| 120 |
+
130.32785301513672,
|
| 121 |
+
-0.023841000366203957,
|
| 122 |
+
69.78638060474395,
|
| 123 |
+
30.574128990173342,
|
| 124 |
+
0.8875411661148078,
|
| 125 |
+
78.16675871887206,
|
| 126 |
+
46.751479209184645,
|
| 127 |
+
130.678810546875,
|
| 128 |
+
-0.02370019989012917,
|
| 129 |
+
76.80246501922608,
|
| 130 |
+
11.14105180587768,
|
| 131 |
+
36.27064111328125,
|
| 132 |
+
64.59558258361817
|
| 133 |
+
]
|
| 134 |
+
}
|
| 135 |
+
}
|
| 136 |
+
}
|
inference_config.json
ADDED
|
@@ -0,0 +1,108 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"format": "MorphAct Pi0.5 checkpoint inference contract",
|
| 3 |
+
"config_name": "pi05_piperx_sort_letter",
|
| 4 |
+
"checkpoint_step": 20000,
|
| 5 |
+
"method": "morphact_pi",
|
| 6 |
+
"model": {
|
| 7 |
+
"model_type": "pi05",
|
| 8 |
+
"pi05": true,
|
| 9 |
+
"action_dim": 32,
|
| 10 |
+
"action_horizon": 50,
|
| 11 |
+
"max_token_len": 200,
|
| 12 |
+
"discrete_state_input": true
|
| 13 |
+
},
|
| 14 |
+
"base_checkpoint": {
|
| 15 |
+
"filename": "model.safetensors",
|
| 16 |
+
"training_file_sha256": "d33d59cd93e8cb6615835f8d85d4840e8fa810e66bb283544905e8d006feb54a",
|
| 17 |
+
"hash_is_loading_requirement": false,
|
| 18 |
+
"included": false,
|
| 19 |
+
"format": "OpenPI PyTorch Pi0.5 base"
|
| 20 |
+
},
|
| 21 |
+
"provenance": {
|
| 22 |
+
"source_commit": "1d2bd070bf2a6a9f066601c09ab36cd489264178",
|
| 23 |
+
"public_base_commit": "e5433de720523f020447e183861a097b902ba7b9",
|
| 24 |
+
"dataset_repo_id": "Takizz/piperx-sortletter-0911-0917-140ep-raw",
|
| 25 |
+
"dataset_revision": "f3d743be7a21e8f9d0c5dd23c910ca50c0134ad1",
|
| 26 |
+
"dataset_episodes": 140,
|
| 27 |
+
"dataset_frames": 149961,
|
| 28 |
+
"fps": 30
|
| 29 |
+
},
|
| 30 |
+
"data": {
|
| 31 |
+
"state_key": "observation.state",
|
| 32 |
+
"action_key": "action",
|
| 33 |
+
"native_state_feature": {
|
| 34 |
+
"dtype": "float32",
|
| 35 |
+
"names": [
|
| 36 |
+
"left_joint_1.pos",
|
| 37 |
+
"left_joint_2.pos",
|
| 38 |
+
"left_joint_3.pos",
|
| 39 |
+
"left_joint_4.pos",
|
| 40 |
+
"left_joint_5.pos",
|
| 41 |
+
"left_joint_6.pos",
|
| 42 |
+
"left_gripper.pos",
|
| 43 |
+
"right_joint_1.pos",
|
| 44 |
+
"right_joint_2.pos",
|
| 45 |
+
"right_joint_3.pos",
|
| 46 |
+
"right_joint_4.pos",
|
| 47 |
+
"right_joint_5.pos",
|
| 48 |
+
"right_joint_6.pos",
|
| 49 |
+
"right_gripper.pos"
|
| 50 |
+
],
|
| 51 |
+
"shape": [
|
| 52 |
+
14
|
| 53 |
+
]
|
| 54 |
+
},
|
| 55 |
+
"native_action_feature": {
|
| 56 |
+
"dtype": "float32",
|
| 57 |
+
"names": [
|
| 58 |
+
"left_joint_1.pos",
|
| 59 |
+
"left_joint_2.pos",
|
| 60 |
+
"left_joint_3.pos",
|
| 61 |
+
"left_joint_4.pos",
|
| 62 |
+
"left_joint_5.pos",
|
| 63 |
+
"left_joint_6.pos",
|
| 64 |
+
"left_gripper.pos",
|
| 65 |
+
"right_joint_1.pos",
|
| 66 |
+
"right_joint_2.pos",
|
| 67 |
+
"right_joint_3.pos",
|
| 68 |
+
"right_joint_4.pos",
|
| 69 |
+
"right_joint_5.pos",
|
| 70 |
+
"right_joint_6.pos",
|
| 71 |
+
"right_gripper.pos"
|
| 72 |
+
],
|
| 73 |
+
"shape": [
|
| 74 |
+
14
|
| 75 |
+
]
|
| 76 |
+
},
|
| 77 |
+
"native_dimensions": 14,
|
| 78 |
+
"model_dimensions": 32,
|
| 79 |
+
"padding": "zeros after native dimensions",
|
| 80 |
+
"output_dimensions": "first 14 dimensions, in dataset order",
|
| 81 |
+
"camera_mapping": {
|
| 82 |
+
"observation.images.right_environment_1": {
|
| 83 |
+
"policy_key": "cam_high",
|
| 84 |
+
"model_key": "base_0_rgb"
|
| 85 |
+
},
|
| 86 |
+
"observation.images.left_wrist": {
|
| 87 |
+
"policy_key": "cam_left_wrist",
|
| 88 |
+
"model_key": "left_wrist_0_rgb"
|
| 89 |
+
},
|
| 90 |
+
"observation.images.right_wrist": {
|
| 91 |
+
"policy_key": "cam_right_wrist",
|
| 92 |
+
"model_key": "right_wrist_0_rgb"
|
| 93 |
+
}
|
| 94 |
+
},
|
| 95 |
+
"image_processing": "three RGB views resized with padding to 224 x 224",
|
| 96 |
+
"prompt_source": "dataset task description",
|
| 97 |
+
"adapt_to_pi": false,
|
| 98 |
+
"use_delta_joint_actions": false,
|
| 99 |
+
"action_semantics": "absolute joint and gripper targets in original dataset units",
|
| 100 |
+
"normalization": {
|
| 101 |
+
"use_quantiles": true,
|
| 102 |
+
"q01_q99_epsilon": 1e-06,
|
| 103 |
+
"asset_path": "assets/Takizz/piperx-sortletter-0911-0917-140ep-raw/norm_stats.json"
|
| 104 |
+
},
|
| 105 |
+
"action_window": "50 frames; repeat the final action at the episode boundary"
|
| 106 |
+
},
|
| 107 |
+
"loading": "Use a compatible OpenPI Pi0.5 PyTorch base with the MorphAct runtime and this inference contract. Recorded hashes describe the training source and do not restrict loading. This JSON is descriptive and is not automatically registered as a Python training config."
|
| 108 |
+
}
|
metadata.json
ADDED
|
@@ -0,0 +1,1735 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"action_generator_config": {
|
| 3 |
+
"alpha": 32,
|
| 4 |
+
"compute_precision": "bfloat16",
|
| 5 |
+
"d_model": 1024,
|
| 6 |
+
"dim_accumulation": 4,
|
| 7 |
+
"factor_init_std": 0.01,
|
| 8 |
+
"head_dim": 128,
|
| 9 |
+
"input_dim": 2048,
|
| 10 |
+
"num_base_model_layers": 18,
|
| 11 |
+
"num_pg_layers": 6,
|
| 12 |
+
"output_dim": 1024,
|
| 13 |
+
"prefix": "expert.layers.",
|
| 14 |
+
"projections": [
|
| 15 |
+
{
|
| 16 |
+
"factor_geometry": "q",
|
| 17 |
+
"head_dim": 256,
|
| 18 |
+
"in_features": 1024,
|
| 19 |
+
"num_heads": 8,
|
| 20 |
+
"out_features": 2048,
|
| 21 |
+
"suffix": "self_attn.q_proj"
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"factor_geometry": "kv",
|
| 25 |
+
"head_dim": 256,
|
| 26 |
+
"in_features": 1024,
|
| 27 |
+
"num_heads": 1,
|
| 28 |
+
"out_features": 256,
|
| 29 |
+
"suffix": "self_attn.k_proj"
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"factor_geometry": "kv",
|
| 33 |
+
"head_dim": 256,
|
| 34 |
+
"in_features": 1024,
|
| 35 |
+
"num_heads": 1,
|
| 36 |
+
"out_features": 256,
|
| 37 |
+
"suffix": "self_attn.v_proj"
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"factor_geometry": "o",
|
| 41 |
+
"head_dim": 256,
|
| 42 |
+
"in_features": 2048,
|
| 43 |
+
"num_heads": 8,
|
| 44 |
+
"out_features": 1024,
|
| 45 |
+
"suffix": "self_attn.o_proj"
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"factor_geometry": "matrix",
|
| 49 |
+
"head_dim": null,
|
| 50 |
+
"in_features": 1024,
|
| 51 |
+
"num_heads": 1,
|
| 52 |
+
"out_features": 4096,
|
| 53 |
+
"suffix": "mlp.gate_proj"
|
| 54 |
+
},
|
| 55 |
+
{
|
| 56 |
+
"factor_geometry": "matrix",
|
| 57 |
+
"head_dim": null,
|
| 58 |
+
"in_features": 1024,
|
| 59 |
+
"num_heads": 1,
|
| 60 |
+
"out_features": 4096,
|
| 61 |
+
"suffix": "mlp.up_proj"
|
| 62 |
+
},
|
| 63 |
+
{
|
| 64 |
+
"factor_geometry": "matrix",
|
| 65 |
+
"head_dim": null,
|
| 66 |
+
"in_features": 4096,
|
| 67 |
+
"num_heads": 1,
|
| 68 |
+
"out_features": 1024,
|
| 69 |
+
"suffix": "mlp.down_proj"
|
| 70 |
+
}
|
| 71 |
+
],
|
| 72 |
+
"rank": 32,
|
| 73 |
+
"state_dim": 32,
|
| 74 |
+
"token_dim": 1024
|
| 75 |
+
},
|
| 76 |
+
"action_target_manifest": [
|
| 77 |
+
{
|
| 78 |
+
"in_features": 1024,
|
| 79 |
+
"layer_index": 0,
|
| 80 |
+
"out_features": 2048,
|
| 81 |
+
"suffix": "self_attn.q_proj"
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"in_features": 1024,
|
| 85 |
+
"layer_index": 0,
|
| 86 |
+
"out_features": 256,
|
| 87 |
+
"suffix": "self_attn.k_proj"
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"in_features": 1024,
|
| 91 |
+
"layer_index": 0,
|
| 92 |
+
"out_features": 256,
|
| 93 |
+
"suffix": "self_attn.v_proj"
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"in_features": 2048,
|
| 97 |
+
"layer_index": 0,
|
| 98 |
+
"out_features": 1024,
|
| 99 |
+
"suffix": "self_attn.o_proj"
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"in_features": 1024,
|
| 103 |
+
"layer_index": 0,
|
| 104 |
+
"out_features": 4096,
|
| 105 |
+
"suffix": "mlp.gate_proj"
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"in_features": 1024,
|
| 109 |
+
"layer_index": 0,
|
| 110 |
+
"out_features": 4096,
|
| 111 |
+
"suffix": "mlp.up_proj"
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"in_features": 4096,
|
| 115 |
+
"layer_index": 0,
|
| 116 |
+
"out_features": 1024,
|
| 117 |
+
"suffix": "mlp.down_proj"
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"in_features": 1024,
|
| 121 |
+
"layer_index": 1,
|
| 122 |
+
"out_features": 2048,
|
| 123 |
+
"suffix": "self_attn.q_proj"
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"in_features": 1024,
|
| 127 |
+
"layer_index": 1,
|
| 128 |
+
"out_features": 256,
|
| 129 |
+
"suffix": "self_attn.k_proj"
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"in_features": 1024,
|
| 133 |
+
"layer_index": 1,
|
| 134 |
+
"out_features": 256,
|
| 135 |
+
"suffix": "self_attn.v_proj"
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"in_features": 2048,
|
| 139 |
+
"layer_index": 1,
|
| 140 |
+
"out_features": 1024,
|
| 141 |
+
"suffix": "self_attn.o_proj"
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"in_features": 1024,
|
| 145 |
+
"layer_index": 1,
|
| 146 |
+
"out_features": 4096,
|
| 147 |
+
"suffix": "mlp.gate_proj"
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"in_features": 1024,
|
| 151 |
+
"layer_index": 1,
|
| 152 |
+
"out_features": 4096,
|
| 153 |
+
"suffix": "mlp.up_proj"
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"in_features": 4096,
|
| 157 |
+
"layer_index": 1,
|
| 158 |
+
"out_features": 1024,
|
| 159 |
+
"suffix": "mlp.down_proj"
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"in_features": 1024,
|
| 163 |
+
"layer_index": 2,
|
| 164 |
+
"out_features": 2048,
|
| 165 |
+
"suffix": "self_attn.q_proj"
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"in_features": 1024,
|
| 169 |
+
"layer_index": 2,
|
| 170 |
+
"out_features": 256,
|
| 171 |
+
"suffix": "self_attn.k_proj"
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"in_features": 1024,
|
| 175 |
+
"layer_index": 2,
|
| 176 |
+
"out_features": 256,
|
| 177 |
+
"suffix": "self_attn.v_proj"
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"in_features": 2048,
|
| 181 |
+
"layer_index": 2,
|
| 182 |
+
"out_features": 1024,
|
| 183 |
+
"suffix": "self_attn.o_proj"
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"in_features": 1024,
|
| 187 |
+
"layer_index": 2,
|
| 188 |
+
"out_features": 4096,
|
| 189 |
+
"suffix": "mlp.gate_proj"
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"in_features": 1024,
|
| 193 |
+
"layer_index": 2,
|
| 194 |
+
"out_features": 4096,
|
| 195 |
+
"suffix": "mlp.up_proj"
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"in_features": 4096,
|
| 199 |
+
"layer_index": 2,
|
| 200 |
+
"out_features": 1024,
|
| 201 |
+
"suffix": "mlp.down_proj"
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"in_features": 1024,
|
| 205 |
+
"layer_index": 3,
|
| 206 |
+
"out_features": 2048,
|
| 207 |
+
"suffix": "self_attn.q_proj"
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"in_features": 1024,
|
| 211 |
+
"layer_index": 3,
|
| 212 |
+
"out_features": 256,
|
| 213 |
+
"suffix": "self_attn.k_proj"
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"in_features": 1024,
|
| 217 |
+
"layer_index": 3,
|
| 218 |
+
"out_features": 256,
|
| 219 |
+
"suffix": "self_attn.v_proj"
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"in_features": 2048,
|
| 223 |
+
"layer_index": 3,
|
| 224 |
+
"out_features": 1024,
|
| 225 |
+
"suffix": "self_attn.o_proj"
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"in_features": 1024,
|
| 229 |
+
"layer_index": 3,
|
| 230 |
+
"out_features": 4096,
|
| 231 |
+
"suffix": "mlp.gate_proj"
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"in_features": 1024,
|
| 235 |
+
"layer_index": 3,
|
| 236 |
+
"out_features": 4096,
|
| 237 |
+
"suffix": "mlp.up_proj"
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"in_features": 4096,
|
| 241 |
+
"layer_index": 3,
|
| 242 |
+
"out_features": 1024,
|
| 243 |
+
"suffix": "mlp.down_proj"
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"in_features": 1024,
|
| 247 |
+
"layer_index": 4,
|
| 248 |
+
"out_features": 2048,
|
| 249 |
+
"suffix": "self_attn.q_proj"
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"in_features": 1024,
|
| 253 |
+
"layer_index": 4,
|
| 254 |
+
"out_features": 256,
|
| 255 |
+
"suffix": "self_attn.k_proj"
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"in_features": 1024,
|
| 259 |
+
"layer_index": 4,
|
| 260 |
+
"out_features": 256,
|
| 261 |
+
"suffix": "self_attn.v_proj"
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"in_features": 2048,
|
| 265 |
+
"layer_index": 4,
|
| 266 |
+
"out_features": 1024,
|
| 267 |
+
"suffix": "self_attn.o_proj"
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"in_features": 1024,
|
| 271 |
+
"layer_index": 4,
|
| 272 |
+
"out_features": 4096,
|
| 273 |
+
"suffix": "mlp.gate_proj"
|
| 274 |
+
},
|
| 275 |
+
{
|
| 276 |
+
"in_features": 1024,
|
| 277 |
+
"layer_index": 4,
|
| 278 |
+
"out_features": 4096,
|
| 279 |
+
"suffix": "mlp.up_proj"
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"in_features": 4096,
|
| 283 |
+
"layer_index": 4,
|
| 284 |
+
"out_features": 1024,
|
| 285 |
+
"suffix": "mlp.down_proj"
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"in_features": 1024,
|
| 289 |
+
"layer_index": 5,
|
| 290 |
+
"out_features": 2048,
|
| 291 |
+
"suffix": "self_attn.q_proj"
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"in_features": 1024,
|
| 295 |
+
"layer_index": 5,
|
| 296 |
+
"out_features": 256,
|
| 297 |
+
"suffix": "self_attn.k_proj"
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"in_features": 1024,
|
| 301 |
+
"layer_index": 5,
|
| 302 |
+
"out_features": 256,
|
| 303 |
+
"suffix": "self_attn.v_proj"
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"in_features": 2048,
|
| 307 |
+
"layer_index": 5,
|
| 308 |
+
"out_features": 1024,
|
| 309 |
+
"suffix": "self_attn.o_proj"
|
| 310 |
+
},
|
| 311 |
+
{
|
| 312 |
+
"in_features": 1024,
|
| 313 |
+
"layer_index": 5,
|
| 314 |
+
"out_features": 4096,
|
| 315 |
+
"suffix": "mlp.gate_proj"
|
| 316 |
+
},
|
| 317 |
+
{
|
| 318 |
+
"in_features": 1024,
|
| 319 |
+
"layer_index": 5,
|
| 320 |
+
"out_features": 4096,
|
| 321 |
+
"suffix": "mlp.up_proj"
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"in_features": 4096,
|
| 325 |
+
"layer_index": 5,
|
| 326 |
+
"out_features": 1024,
|
| 327 |
+
"suffix": "mlp.down_proj"
|
| 328 |
+
},
|
| 329 |
+
{
|
| 330 |
+
"in_features": 1024,
|
| 331 |
+
"layer_index": 6,
|
| 332 |
+
"out_features": 2048,
|
| 333 |
+
"suffix": "self_attn.q_proj"
|
| 334 |
+
},
|
| 335 |
+
{
|
| 336 |
+
"in_features": 1024,
|
| 337 |
+
"layer_index": 6,
|
| 338 |
+
"out_features": 256,
|
| 339 |
+
"suffix": "self_attn.k_proj"
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"in_features": 1024,
|
| 343 |
+
"layer_index": 6,
|
| 344 |
+
"out_features": 256,
|
| 345 |
+
"suffix": "self_attn.v_proj"
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"in_features": 2048,
|
| 349 |
+
"layer_index": 6,
|
| 350 |
+
"out_features": 1024,
|
| 351 |
+
"suffix": "self_attn.o_proj"
|
| 352 |
+
},
|
| 353 |
+
{
|
| 354 |
+
"in_features": 1024,
|
| 355 |
+
"layer_index": 6,
|
| 356 |
+
"out_features": 4096,
|
| 357 |
+
"suffix": "mlp.gate_proj"
|
| 358 |
+
},
|
| 359 |
+
{
|
| 360 |
+
"in_features": 1024,
|
| 361 |
+
"layer_index": 6,
|
| 362 |
+
"out_features": 4096,
|
| 363 |
+
"suffix": "mlp.up_proj"
|
| 364 |
+
},
|
| 365 |
+
{
|
| 366 |
+
"in_features": 4096,
|
| 367 |
+
"layer_index": 6,
|
| 368 |
+
"out_features": 1024,
|
| 369 |
+
"suffix": "mlp.down_proj"
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"in_features": 1024,
|
| 373 |
+
"layer_index": 7,
|
| 374 |
+
"out_features": 2048,
|
| 375 |
+
"suffix": "self_attn.q_proj"
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"in_features": 1024,
|
| 379 |
+
"layer_index": 7,
|
| 380 |
+
"out_features": 256,
|
| 381 |
+
"suffix": "self_attn.k_proj"
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"in_features": 1024,
|
| 385 |
+
"layer_index": 7,
|
| 386 |
+
"out_features": 256,
|
| 387 |
+
"suffix": "self_attn.v_proj"
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"in_features": 2048,
|
| 391 |
+
"layer_index": 7,
|
| 392 |
+
"out_features": 1024,
|
| 393 |
+
"suffix": "self_attn.o_proj"
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"in_features": 1024,
|
| 397 |
+
"layer_index": 7,
|
| 398 |
+
"out_features": 4096,
|
| 399 |
+
"suffix": "mlp.gate_proj"
|
| 400 |
+
},
|
| 401 |
+
{
|
| 402 |
+
"in_features": 1024,
|
| 403 |
+
"layer_index": 7,
|
| 404 |
+
"out_features": 4096,
|
| 405 |
+
"suffix": "mlp.up_proj"
|
| 406 |
+
},
|
| 407 |
+
{
|
| 408 |
+
"in_features": 4096,
|
| 409 |
+
"layer_index": 7,
|
| 410 |
+
"out_features": 1024,
|
| 411 |
+
"suffix": "mlp.down_proj"
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"in_features": 1024,
|
| 415 |
+
"layer_index": 8,
|
| 416 |
+
"out_features": 2048,
|
| 417 |
+
"suffix": "self_attn.q_proj"
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"in_features": 1024,
|
| 421 |
+
"layer_index": 8,
|
| 422 |
+
"out_features": 256,
|
| 423 |
+
"suffix": "self_attn.k_proj"
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"in_features": 1024,
|
| 427 |
+
"layer_index": 8,
|
| 428 |
+
"out_features": 256,
|
| 429 |
+
"suffix": "self_attn.v_proj"
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"in_features": 2048,
|
| 433 |
+
"layer_index": 8,
|
| 434 |
+
"out_features": 1024,
|
| 435 |
+
"suffix": "self_attn.o_proj"
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"in_features": 1024,
|
| 439 |
+
"layer_index": 8,
|
| 440 |
+
"out_features": 4096,
|
| 441 |
+
"suffix": "mlp.gate_proj"
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"in_features": 1024,
|
| 445 |
+
"layer_index": 8,
|
| 446 |
+
"out_features": 4096,
|
| 447 |
+
"suffix": "mlp.up_proj"
|
| 448 |
+
},
|
| 449 |
+
{
|
| 450 |
+
"in_features": 4096,
|
| 451 |
+
"layer_index": 8,
|
| 452 |
+
"out_features": 1024,
|
| 453 |
+
"suffix": "mlp.down_proj"
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"in_features": 1024,
|
| 457 |
+
"layer_index": 9,
|
| 458 |
+
"out_features": 2048,
|
| 459 |
+
"suffix": "self_attn.q_proj"
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"in_features": 1024,
|
| 463 |
+
"layer_index": 9,
|
| 464 |
+
"out_features": 256,
|
| 465 |
+
"suffix": "self_attn.k_proj"
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"in_features": 1024,
|
| 469 |
+
"layer_index": 9,
|
| 470 |
+
"out_features": 256,
|
| 471 |
+
"suffix": "self_attn.v_proj"
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"in_features": 2048,
|
| 475 |
+
"layer_index": 9,
|
| 476 |
+
"out_features": 1024,
|
| 477 |
+
"suffix": "self_attn.o_proj"
|
| 478 |
+
},
|
| 479 |
+
{
|
| 480 |
+
"in_features": 1024,
|
| 481 |
+
"layer_index": 9,
|
| 482 |
+
"out_features": 4096,
|
| 483 |
+
"suffix": "mlp.gate_proj"
|
| 484 |
+
},
|
| 485 |
+
{
|
| 486 |
+
"in_features": 1024,
|
| 487 |
+
"layer_index": 9,
|
| 488 |
+
"out_features": 4096,
|
| 489 |
+
"suffix": "mlp.up_proj"
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"in_features": 4096,
|
| 493 |
+
"layer_index": 9,
|
| 494 |
+
"out_features": 1024,
|
| 495 |
+
"suffix": "mlp.down_proj"
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"in_features": 1024,
|
| 499 |
+
"layer_index": 10,
|
| 500 |
+
"out_features": 2048,
|
| 501 |
+
"suffix": "self_attn.q_proj"
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"in_features": 1024,
|
| 505 |
+
"layer_index": 10,
|
| 506 |
+
"out_features": 256,
|
| 507 |
+
"suffix": "self_attn.k_proj"
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"in_features": 1024,
|
| 511 |
+
"layer_index": 10,
|
| 512 |
+
"out_features": 256,
|
| 513 |
+
"suffix": "self_attn.v_proj"
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"in_features": 2048,
|
| 517 |
+
"layer_index": 10,
|
| 518 |
+
"out_features": 1024,
|
| 519 |
+
"suffix": "self_attn.o_proj"
|
| 520 |
+
},
|
| 521 |
+
{
|
| 522 |
+
"in_features": 1024,
|
| 523 |
+
"layer_index": 10,
|
| 524 |
+
"out_features": 4096,
|
| 525 |
+
"suffix": "mlp.gate_proj"
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
"in_features": 1024,
|
| 529 |
+
"layer_index": 10,
|
| 530 |
+
"out_features": 4096,
|
| 531 |
+
"suffix": "mlp.up_proj"
|
| 532 |
+
},
|
| 533 |
+
{
|
| 534 |
+
"in_features": 4096,
|
| 535 |
+
"layer_index": 10,
|
| 536 |
+
"out_features": 1024,
|
| 537 |
+
"suffix": "mlp.down_proj"
|
| 538 |
+
},
|
| 539 |
+
{
|
| 540 |
+
"in_features": 1024,
|
| 541 |
+
"layer_index": 11,
|
| 542 |
+
"out_features": 2048,
|
| 543 |
+
"suffix": "self_attn.q_proj"
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"in_features": 1024,
|
| 547 |
+
"layer_index": 11,
|
| 548 |
+
"out_features": 256,
|
| 549 |
+
"suffix": "self_attn.k_proj"
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"in_features": 1024,
|
| 553 |
+
"layer_index": 11,
|
| 554 |
+
"out_features": 256,
|
| 555 |
+
"suffix": "self_attn.v_proj"
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"in_features": 2048,
|
| 559 |
+
"layer_index": 11,
|
| 560 |
+
"out_features": 1024,
|
| 561 |
+
"suffix": "self_attn.o_proj"
|
| 562 |
+
},
|
| 563 |
+
{
|
| 564 |
+
"in_features": 1024,
|
| 565 |
+
"layer_index": 11,
|
| 566 |
+
"out_features": 4096,
|
| 567 |
+
"suffix": "mlp.gate_proj"
|
| 568 |
+
},
|
| 569 |
+
{
|
| 570 |
+
"in_features": 1024,
|
| 571 |
+
"layer_index": 11,
|
| 572 |
+
"out_features": 4096,
|
| 573 |
+
"suffix": "mlp.up_proj"
|
| 574 |
+
},
|
| 575 |
+
{
|
| 576 |
+
"in_features": 4096,
|
| 577 |
+
"layer_index": 11,
|
| 578 |
+
"out_features": 1024,
|
| 579 |
+
"suffix": "mlp.down_proj"
|
| 580 |
+
},
|
| 581 |
+
{
|
| 582 |
+
"in_features": 1024,
|
| 583 |
+
"layer_index": 12,
|
| 584 |
+
"out_features": 2048,
|
| 585 |
+
"suffix": "self_attn.q_proj"
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"in_features": 1024,
|
| 589 |
+
"layer_index": 12,
|
| 590 |
+
"out_features": 256,
|
| 591 |
+
"suffix": "self_attn.k_proj"
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"in_features": 1024,
|
| 595 |
+
"layer_index": 12,
|
| 596 |
+
"out_features": 256,
|
| 597 |
+
"suffix": "self_attn.v_proj"
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"in_features": 2048,
|
| 601 |
+
"layer_index": 12,
|
| 602 |
+
"out_features": 1024,
|
| 603 |
+
"suffix": "self_attn.o_proj"
|
| 604 |
+
},
|
| 605 |
+
{
|
| 606 |
+
"in_features": 1024,
|
| 607 |
+
"layer_index": 12,
|
| 608 |
+
"out_features": 4096,
|
| 609 |
+
"suffix": "mlp.gate_proj"
|
| 610 |
+
},
|
| 611 |
+
{
|
| 612 |
+
"in_features": 1024,
|
| 613 |
+
"layer_index": 12,
|
| 614 |
+
"out_features": 4096,
|
| 615 |
+
"suffix": "mlp.up_proj"
|
| 616 |
+
},
|
| 617 |
+
{
|
| 618 |
+
"in_features": 4096,
|
| 619 |
+
"layer_index": 12,
|
| 620 |
+
"out_features": 1024,
|
| 621 |
+
"suffix": "mlp.down_proj"
|
| 622 |
+
},
|
| 623 |
+
{
|
| 624 |
+
"in_features": 1024,
|
| 625 |
+
"layer_index": 13,
|
| 626 |
+
"out_features": 2048,
|
| 627 |
+
"suffix": "self_attn.q_proj"
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"in_features": 1024,
|
| 631 |
+
"layer_index": 13,
|
| 632 |
+
"out_features": 256,
|
| 633 |
+
"suffix": "self_attn.k_proj"
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"in_features": 1024,
|
| 637 |
+
"layer_index": 13,
|
| 638 |
+
"out_features": 256,
|
| 639 |
+
"suffix": "self_attn.v_proj"
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"in_features": 2048,
|
| 643 |
+
"layer_index": 13,
|
| 644 |
+
"out_features": 1024,
|
| 645 |
+
"suffix": "self_attn.o_proj"
|
| 646 |
+
},
|
| 647 |
+
{
|
| 648 |
+
"in_features": 1024,
|
| 649 |
+
"layer_index": 13,
|
| 650 |
+
"out_features": 4096,
|
| 651 |
+
"suffix": "mlp.gate_proj"
|
| 652 |
+
},
|
| 653 |
+
{
|
| 654 |
+
"in_features": 1024,
|
| 655 |
+
"layer_index": 13,
|
| 656 |
+
"out_features": 4096,
|
| 657 |
+
"suffix": "mlp.up_proj"
|
| 658 |
+
},
|
| 659 |
+
{
|
| 660 |
+
"in_features": 4096,
|
| 661 |
+
"layer_index": 13,
|
| 662 |
+
"out_features": 1024,
|
| 663 |
+
"suffix": "mlp.down_proj"
|
| 664 |
+
},
|
| 665 |
+
{
|
| 666 |
+
"in_features": 1024,
|
| 667 |
+
"layer_index": 14,
|
| 668 |
+
"out_features": 2048,
|
| 669 |
+
"suffix": "self_attn.q_proj"
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"in_features": 1024,
|
| 673 |
+
"layer_index": 14,
|
| 674 |
+
"out_features": 256,
|
| 675 |
+
"suffix": "self_attn.k_proj"
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"in_features": 1024,
|
| 679 |
+
"layer_index": 14,
|
| 680 |
+
"out_features": 256,
|
| 681 |
+
"suffix": "self_attn.v_proj"
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"in_features": 2048,
|
| 685 |
+
"layer_index": 14,
|
| 686 |
+
"out_features": 1024,
|
| 687 |
+
"suffix": "self_attn.o_proj"
|
| 688 |
+
},
|
| 689 |
+
{
|
| 690 |
+
"in_features": 1024,
|
| 691 |
+
"layer_index": 14,
|
| 692 |
+
"out_features": 4096,
|
| 693 |
+
"suffix": "mlp.gate_proj"
|
| 694 |
+
},
|
| 695 |
+
{
|
| 696 |
+
"in_features": 1024,
|
| 697 |
+
"layer_index": 14,
|
| 698 |
+
"out_features": 4096,
|
| 699 |
+
"suffix": "mlp.up_proj"
|
| 700 |
+
},
|
| 701 |
+
{
|
| 702 |
+
"in_features": 4096,
|
| 703 |
+
"layer_index": 14,
|
| 704 |
+
"out_features": 1024,
|
| 705 |
+
"suffix": "mlp.down_proj"
|
| 706 |
+
},
|
| 707 |
+
{
|
| 708 |
+
"in_features": 1024,
|
| 709 |
+
"layer_index": 15,
|
| 710 |
+
"out_features": 2048,
|
| 711 |
+
"suffix": "self_attn.q_proj"
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"in_features": 1024,
|
| 715 |
+
"layer_index": 15,
|
| 716 |
+
"out_features": 256,
|
| 717 |
+
"suffix": "self_attn.k_proj"
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"in_features": 1024,
|
| 721 |
+
"layer_index": 15,
|
| 722 |
+
"out_features": 256,
|
| 723 |
+
"suffix": "self_attn.v_proj"
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"in_features": 2048,
|
| 727 |
+
"layer_index": 15,
|
| 728 |
+
"out_features": 1024,
|
| 729 |
+
"suffix": "self_attn.o_proj"
|
| 730 |
+
},
|
| 731 |
+
{
|
| 732 |
+
"in_features": 1024,
|
| 733 |
+
"layer_index": 15,
|
| 734 |
+
"out_features": 4096,
|
| 735 |
+
"suffix": "mlp.gate_proj"
|
| 736 |
+
},
|
| 737 |
+
{
|
| 738 |
+
"in_features": 1024,
|
| 739 |
+
"layer_index": 15,
|
| 740 |
+
"out_features": 4096,
|
| 741 |
+
"suffix": "mlp.up_proj"
|
| 742 |
+
},
|
| 743 |
+
{
|
| 744 |
+
"in_features": 4096,
|
| 745 |
+
"layer_index": 15,
|
| 746 |
+
"out_features": 1024,
|
| 747 |
+
"suffix": "mlp.down_proj"
|
| 748 |
+
},
|
| 749 |
+
{
|
| 750 |
+
"in_features": 1024,
|
| 751 |
+
"layer_index": 16,
|
| 752 |
+
"out_features": 2048,
|
| 753 |
+
"suffix": "self_attn.q_proj"
|
| 754 |
+
},
|
| 755 |
+
{
|
| 756 |
+
"in_features": 1024,
|
| 757 |
+
"layer_index": 16,
|
| 758 |
+
"out_features": 256,
|
| 759 |
+
"suffix": "self_attn.k_proj"
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"in_features": 1024,
|
| 763 |
+
"layer_index": 16,
|
| 764 |
+
"out_features": 256,
|
| 765 |
+
"suffix": "self_attn.v_proj"
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"in_features": 2048,
|
| 769 |
+
"layer_index": 16,
|
| 770 |
+
"out_features": 1024,
|
| 771 |
+
"suffix": "self_attn.o_proj"
|
| 772 |
+
},
|
| 773 |
+
{
|
| 774 |
+
"in_features": 1024,
|
| 775 |
+
"layer_index": 16,
|
| 776 |
+
"out_features": 4096,
|
| 777 |
+
"suffix": "mlp.gate_proj"
|
| 778 |
+
},
|
| 779 |
+
{
|
| 780 |
+
"in_features": 1024,
|
| 781 |
+
"layer_index": 16,
|
| 782 |
+
"out_features": 4096,
|
| 783 |
+
"suffix": "mlp.up_proj"
|
| 784 |
+
},
|
| 785 |
+
{
|
| 786 |
+
"in_features": 4096,
|
| 787 |
+
"layer_index": 16,
|
| 788 |
+
"out_features": 1024,
|
| 789 |
+
"suffix": "mlp.down_proj"
|
| 790 |
+
},
|
| 791 |
+
{
|
| 792 |
+
"in_features": 1024,
|
| 793 |
+
"layer_index": 17,
|
| 794 |
+
"out_features": 2048,
|
| 795 |
+
"suffix": "self_attn.q_proj"
|
| 796 |
+
},
|
| 797 |
+
{
|
| 798 |
+
"in_features": 1024,
|
| 799 |
+
"layer_index": 17,
|
| 800 |
+
"out_features": 256,
|
| 801 |
+
"suffix": "self_attn.k_proj"
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"in_features": 1024,
|
| 805 |
+
"layer_index": 17,
|
| 806 |
+
"out_features": 256,
|
| 807 |
+
"suffix": "self_attn.v_proj"
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"in_features": 2048,
|
| 811 |
+
"layer_index": 17,
|
| 812 |
+
"out_features": 1024,
|
| 813 |
+
"suffix": "self_attn.o_proj"
|
| 814 |
+
},
|
| 815 |
+
{
|
| 816 |
+
"in_features": 1024,
|
| 817 |
+
"layer_index": 17,
|
| 818 |
+
"out_features": 4096,
|
| 819 |
+
"suffix": "mlp.gate_proj"
|
| 820 |
+
},
|
| 821 |
+
{
|
| 822 |
+
"in_features": 1024,
|
| 823 |
+
"layer_index": 17,
|
| 824 |
+
"out_features": 4096,
|
| 825 |
+
"suffix": "mlp.up_proj"
|
| 826 |
+
},
|
| 827 |
+
{
|
| 828 |
+
"in_features": 4096,
|
| 829 |
+
"layer_index": 17,
|
| 830 |
+
"out_features": 1024,
|
| 831 |
+
"suffix": "mlp.down_proj"
|
| 832 |
+
}
|
| 833 |
+
],
|
| 834 |
+
"adaptation_modules": [
|
| 835 |
+
"vlm_generator",
|
| 836 |
+
"action_generator",
|
| 837 |
+
"base_model.paligemma_with_expert.paligemma.model.vision_tower",
|
| 838 |
+
"base_model.paligemma_with_expert.paligemma.model.multi_modal_projector",
|
| 839 |
+
"base_model.action_in_proj",
|
| 840 |
+
"base_model.time_mlp_in",
|
| 841 |
+
"base_model.time_mlp_out",
|
| 842 |
+
"base_model.action_out_proj"
|
| 843 |
+
],
|
| 844 |
+
"base_checkpoint": "model.safetensors",
|
| 845 |
+
"base_sha256": "d33d59cd93e8cb6615835f8d85d4840e8fa810e66bb283544905e8d006feb54a",
|
| 846 |
+
"format_version": 1,
|
| 847 |
+
"global_step": 20000,
|
| 848 |
+
"method": "morphact_pi",
|
| 849 |
+
"metrics": {
|
| 850 |
+
"action_condition_tokens_mean": 834.3125,
|
| 851 |
+
"action_generator_calls": 4.5,
|
| 852 |
+
"action_grad_norm_raw": 0.10613375157117844,
|
| 853 |
+
"data_loader_workers": 8.0,
|
| 854 |
+
"effective_batch_size": 16.0,
|
| 855 |
+
"epoch": 2.1338881442508386,
|
| 856 |
+
"grad_norm_raw": 0.22475452721118927,
|
| 857 |
+
"interface_grad_norm_raw": 0.023294083774089813,
|
| 858 |
+
"loss": 0.0031807039631530643,
|
| 859 |
+
"lr": 2.500000153785387e-06,
|
| 860 |
+
"lr_schedule_step": 19999.0,
|
| 861 |
+
"micro_batches_seen": 20000.0,
|
| 862 |
+
"optimizer_step": 20000.0,
|
| 863 |
+
"samples_per_optimizer_step": 16.0,
|
| 864 |
+
"samples_per_second": 2.2519925728198227,
|
| 865 |
+
"samples_seen": 320000.0,
|
| 866 |
+
"seconds_per_optimizer_step": 7.104819169081748,
|
| 867 |
+
"vision_grad_norm_raw": 0.04660778492689133,
|
| 868 |
+
"vlm_condition_tokens_mean": 833.3125,
|
| 869 |
+
"vlm_generator_calls": 4.5,
|
| 870 |
+
"vlm_grad_norm_raw": 0.19114215672016144
|
| 871 |
+
},
|
| 872 |
+
"micro_batches_seen": 20000,
|
| 873 |
+
"model_type": "pi05",
|
| 874 |
+
"norm_stats_asset_id": "Takizz/piperx-sortletter-0911-0917-140ep-raw",
|
| 875 |
+
"run_config": {
|
| 876 |
+
"action_morphact_layers": 6,
|
| 877 |
+
"adam_beta1": 0.9,
|
| 878 |
+
"adam_beta2": 0.95,
|
| 879 |
+
"adam_eps": 1e-08,
|
| 880 |
+
"config_name": "pi05_piperx_sort_letter",
|
| 881 |
+
"decay_lr": 2.5e-06,
|
| 882 |
+
"explosion_grad_norm": 1000000.0,
|
| 883 |
+
"gradient_accumulation_steps": 1,
|
| 884 |
+
"gradient_checkpointing": true,
|
| 885 |
+
"log_interval": 10,
|
| 886 |
+
"max_grad_norm": 1.0,
|
| 887 |
+
"morphact_compute_precision": "bfloat16",
|
| 888 |
+
"morphact_width": 1024,
|
| 889 |
+
"num_devices": 2,
|
| 890 |
+
"num_train_steps": 20000,
|
| 891 |
+
"num_workers": 8,
|
| 892 |
+
"peak_lr": 2.5e-05,
|
| 893 |
+
"per_device_batch_size": 8,
|
| 894 |
+
"precision": "bfloat16",
|
| 895 |
+
"save_interval": 2000,
|
| 896 |
+
"seed": 42,
|
| 897 |
+
"task_indices": null,
|
| 898 |
+
"vlm_morphact_layers": 8,
|
| 899 |
+
"warmup_steps": 1000,
|
| 900 |
+
"weight_decay": 1e-10
|
| 901 |
+
},
|
| 902 |
+
"vlm_generator_config": {
|
| 903 |
+
"alpha": 16,
|
| 904 |
+
"compute_precision": "bfloat16",
|
| 905 |
+
"d_model": 1024,
|
| 906 |
+
"dim_accumulation": 4,
|
| 907 |
+
"factor_init_std": 0.01,
|
| 908 |
+
"head_dim": 128,
|
| 909 |
+
"input_dim": 2048,
|
| 910 |
+
"num_base_model_layers": 18,
|
| 911 |
+
"num_pg_layers": 8,
|
| 912 |
+
"output_dim": 1024,
|
| 913 |
+
"prefix": "vlm.layers.",
|
| 914 |
+
"projections": [
|
| 915 |
+
{
|
| 916 |
+
"factor_geometry": "q",
|
| 917 |
+
"head_dim": 256,
|
| 918 |
+
"in_features": 2048,
|
| 919 |
+
"num_heads": 8,
|
| 920 |
+
"out_features": 2048,
|
| 921 |
+
"suffix": "self_attn.q_proj"
|
| 922 |
+
},
|
| 923 |
+
{
|
| 924 |
+
"factor_geometry": "kv",
|
| 925 |
+
"head_dim": 256,
|
| 926 |
+
"in_features": 2048,
|
| 927 |
+
"num_heads": 1,
|
| 928 |
+
"out_features": 256,
|
| 929 |
+
"suffix": "self_attn.k_proj"
|
| 930 |
+
},
|
| 931 |
+
{
|
| 932 |
+
"factor_geometry": "kv",
|
| 933 |
+
"head_dim": 256,
|
| 934 |
+
"in_features": 2048,
|
| 935 |
+
"num_heads": 1,
|
| 936 |
+
"out_features": 256,
|
| 937 |
+
"suffix": "self_attn.v_proj"
|
| 938 |
+
},
|
| 939 |
+
{
|
| 940 |
+
"factor_geometry": "o",
|
| 941 |
+
"head_dim": 256,
|
| 942 |
+
"in_features": 2048,
|
| 943 |
+
"num_heads": 8,
|
| 944 |
+
"out_features": 2048,
|
| 945 |
+
"suffix": "self_attn.o_proj"
|
| 946 |
+
},
|
| 947 |
+
{
|
| 948 |
+
"factor_geometry": "matrix",
|
| 949 |
+
"head_dim": null,
|
| 950 |
+
"in_features": 2048,
|
| 951 |
+
"num_heads": 1,
|
| 952 |
+
"out_features": 16384,
|
| 953 |
+
"suffix": "mlp.gate_proj"
|
| 954 |
+
},
|
| 955 |
+
{
|
| 956 |
+
"factor_geometry": "matrix",
|
| 957 |
+
"head_dim": null,
|
| 958 |
+
"in_features": 2048,
|
| 959 |
+
"num_heads": 1,
|
| 960 |
+
"out_features": 16384,
|
| 961 |
+
"suffix": "mlp.up_proj"
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"factor_geometry": "matrix",
|
| 965 |
+
"head_dim": null,
|
| 966 |
+
"in_features": 16384,
|
| 967 |
+
"num_heads": 1,
|
| 968 |
+
"out_features": 2048,
|
| 969 |
+
"suffix": "mlp.down_proj"
|
| 970 |
+
}
|
| 971 |
+
],
|
| 972 |
+
"rank": 16,
|
| 973 |
+
"state_dim": null,
|
| 974 |
+
"token_dim": 1024
|
| 975 |
+
},
|
| 976 |
+
"vlm_target_manifest": [
|
| 977 |
+
{
|
| 978 |
+
"in_features": 2048,
|
| 979 |
+
"layer_index": 0,
|
| 980 |
+
"out_features": 2048,
|
| 981 |
+
"suffix": "self_attn.q_proj"
|
| 982 |
+
},
|
| 983 |
+
{
|
| 984 |
+
"in_features": 2048,
|
| 985 |
+
"layer_index": 0,
|
| 986 |
+
"out_features": 256,
|
| 987 |
+
"suffix": "self_attn.k_proj"
|
| 988 |
+
},
|
| 989 |
+
{
|
| 990 |
+
"in_features": 2048,
|
| 991 |
+
"layer_index": 0,
|
| 992 |
+
"out_features": 256,
|
| 993 |
+
"suffix": "self_attn.v_proj"
|
| 994 |
+
},
|
| 995 |
+
{
|
| 996 |
+
"in_features": 2048,
|
| 997 |
+
"layer_index": 0,
|
| 998 |
+
"out_features": 2048,
|
| 999 |
+
"suffix": "self_attn.o_proj"
|
| 1000 |
+
},
|
| 1001 |
+
{
|
| 1002 |
+
"in_features": 2048,
|
| 1003 |
+
"layer_index": 0,
|
| 1004 |
+
"out_features": 16384,
|
| 1005 |
+
"suffix": "mlp.gate_proj"
|
| 1006 |
+
},
|
| 1007 |
+
{
|
| 1008 |
+
"in_features": 2048,
|
| 1009 |
+
"layer_index": 0,
|
| 1010 |
+
"out_features": 16384,
|
| 1011 |
+
"suffix": "mlp.up_proj"
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"in_features": 16384,
|
| 1015 |
+
"layer_index": 0,
|
| 1016 |
+
"out_features": 2048,
|
| 1017 |
+
"suffix": "mlp.down_proj"
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"in_features": 2048,
|
| 1021 |
+
"layer_index": 1,
|
| 1022 |
+
"out_features": 2048,
|
| 1023 |
+
"suffix": "self_attn.q_proj"
|
| 1024 |
+
},
|
| 1025 |
+
{
|
| 1026 |
+
"in_features": 2048,
|
| 1027 |
+
"layer_index": 1,
|
| 1028 |
+
"out_features": 256,
|
| 1029 |
+
"suffix": "self_attn.k_proj"
|
| 1030 |
+
},
|
| 1031 |
+
{
|
| 1032 |
+
"in_features": 2048,
|
| 1033 |
+
"layer_index": 1,
|
| 1034 |
+
"out_features": 256,
|
| 1035 |
+
"suffix": "self_attn.v_proj"
|
| 1036 |
+
},
|
| 1037 |
+
{
|
| 1038 |
+
"in_features": 2048,
|
| 1039 |
+
"layer_index": 1,
|
| 1040 |
+
"out_features": 2048,
|
| 1041 |
+
"suffix": "self_attn.o_proj"
|
| 1042 |
+
},
|
| 1043 |
+
{
|
| 1044 |
+
"in_features": 2048,
|
| 1045 |
+
"layer_index": 1,
|
| 1046 |
+
"out_features": 16384,
|
| 1047 |
+
"suffix": "mlp.gate_proj"
|
| 1048 |
+
},
|
| 1049 |
+
{
|
| 1050 |
+
"in_features": 2048,
|
| 1051 |
+
"layer_index": 1,
|
| 1052 |
+
"out_features": 16384,
|
| 1053 |
+
"suffix": "mlp.up_proj"
|
| 1054 |
+
},
|
| 1055 |
+
{
|
| 1056 |
+
"in_features": 16384,
|
| 1057 |
+
"layer_index": 1,
|
| 1058 |
+
"out_features": 2048,
|
| 1059 |
+
"suffix": "mlp.down_proj"
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"in_features": 2048,
|
| 1063 |
+
"layer_index": 2,
|
| 1064 |
+
"out_features": 2048,
|
| 1065 |
+
"suffix": "self_attn.q_proj"
|
| 1066 |
+
},
|
| 1067 |
+
{
|
| 1068 |
+
"in_features": 2048,
|
| 1069 |
+
"layer_index": 2,
|
| 1070 |
+
"out_features": 256,
|
| 1071 |
+
"suffix": "self_attn.k_proj"
|
| 1072 |
+
},
|
| 1073 |
+
{
|
| 1074 |
+
"in_features": 2048,
|
| 1075 |
+
"layer_index": 2,
|
| 1076 |
+
"out_features": 256,
|
| 1077 |
+
"suffix": "self_attn.v_proj"
|
| 1078 |
+
},
|
| 1079 |
+
{
|
| 1080 |
+
"in_features": 2048,
|
| 1081 |
+
"layer_index": 2,
|
| 1082 |
+
"out_features": 2048,
|
| 1083 |
+
"suffix": "self_attn.o_proj"
|
| 1084 |
+
},
|
| 1085 |
+
{
|
| 1086 |
+
"in_features": 2048,
|
| 1087 |
+
"layer_index": 2,
|
| 1088 |
+
"out_features": 16384,
|
| 1089 |
+
"suffix": "mlp.gate_proj"
|
| 1090 |
+
},
|
| 1091 |
+
{
|
| 1092 |
+
"in_features": 2048,
|
| 1093 |
+
"layer_index": 2,
|
| 1094 |
+
"out_features": 16384,
|
| 1095 |
+
"suffix": "mlp.up_proj"
|
| 1096 |
+
},
|
| 1097 |
+
{
|
| 1098 |
+
"in_features": 16384,
|
| 1099 |
+
"layer_index": 2,
|
| 1100 |
+
"out_features": 2048,
|
| 1101 |
+
"suffix": "mlp.down_proj"
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"in_features": 2048,
|
| 1105 |
+
"layer_index": 3,
|
| 1106 |
+
"out_features": 2048,
|
| 1107 |
+
"suffix": "self_attn.q_proj"
|
| 1108 |
+
},
|
| 1109 |
+
{
|
| 1110 |
+
"in_features": 2048,
|
| 1111 |
+
"layer_index": 3,
|
| 1112 |
+
"out_features": 256,
|
| 1113 |
+
"suffix": "self_attn.k_proj"
|
| 1114 |
+
},
|
| 1115 |
+
{
|
| 1116 |
+
"in_features": 2048,
|
| 1117 |
+
"layer_index": 3,
|
| 1118 |
+
"out_features": 256,
|
| 1119 |
+
"suffix": "self_attn.v_proj"
|
| 1120 |
+
},
|
| 1121 |
+
{
|
| 1122 |
+
"in_features": 2048,
|
| 1123 |
+
"layer_index": 3,
|
| 1124 |
+
"out_features": 2048,
|
| 1125 |
+
"suffix": "self_attn.o_proj"
|
| 1126 |
+
},
|
| 1127 |
+
{
|
| 1128 |
+
"in_features": 2048,
|
| 1129 |
+
"layer_index": 3,
|
| 1130 |
+
"out_features": 16384,
|
| 1131 |
+
"suffix": "mlp.gate_proj"
|
| 1132 |
+
},
|
| 1133 |
+
{
|
| 1134 |
+
"in_features": 2048,
|
| 1135 |
+
"layer_index": 3,
|
| 1136 |
+
"out_features": 16384,
|
| 1137 |
+
"suffix": "mlp.up_proj"
|
| 1138 |
+
},
|
| 1139 |
+
{
|
| 1140 |
+
"in_features": 16384,
|
| 1141 |
+
"layer_index": 3,
|
| 1142 |
+
"out_features": 2048,
|
| 1143 |
+
"suffix": "mlp.down_proj"
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"in_features": 2048,
|
| 1147 |
+
"layer_index": 4,
|
| 1148 |
+
"out_features": 2048,
|
| 1149 |
+
"suffix": "self_attn.q_proj"
|
| 1150 |
+
},
|
| 1151 |
+
{
|
| 1152 |
+
"in_features": 2048,
|
| 1153 |
+
"layer_index": 4,
|
| 1154 |
+
"out_features": 256,
|
| 1155 |
+
"suffix": "self_attn.k_proj"
|
| 1156 |
+
},
|
| 1157 |
+
{
|
| 1158 |
+
"in_features": 2048,
|
| 1159 |
+
"layer_index": 4,
|
| 1160 |
+
"out_features": 256,
|
| 1161 |
+
"suffix": "self_attn.v_proj"
|
| 1162 |
+
},
|
| 1163 |
+
{
|
| 1164 |
+
"in_features": 2048,
|
| 1165 |
+
"layer_index": 4,
|
| 1166 |
+
"out_features": 2048,
|
| 1167 |
+
"suffix": "self_attn.o_proj"
|
| 1168 |
+
},
|
| 1169 |
+
{
|
| 1170 |
+
"in_features": 2048,
|
| 1171 |
+
"layer_index": 4,
|
| 1172 |
+
"out_features": 16384,
|
| 1173 |
+
"suffix": "mlp.gate_proj"
|
| 1174 |
+
},
|
| 1175 |
+
{
|
| 1176 |
+
"in_features": 2048,
|
| 1177 |
+
"layer_index": 4,
|
| 1178 |
+
"out_features": 16384,
|
| 1179 |
+
"suffix": "mlp.up_proj"
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"in_features": 16384,
|
| 1183 |
+
"layer_index": 4,
|
| 1184 |
+
"out_features": 2048,
|
| 1185 |
+
"suffix": "mlp.down_proj"
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"in_features": 2048,
|
| 1189 |
+
"layer_index": 5,
|
| 1190 |
+
"out_features": 2048,
|
| 1191 |
+
"suffix": "self_attn.q_proj"
|
| 1192 |
+
},
|
| 1193 |
+
{
|
| 1194 |
+
"in_features": 2048,
|
| 1195 |
+
"layer_index": 5,
|
| 1196 |
+
"out_features": 256,
|
| 1197 |
+
"suffix": "self_attn.k_proj"
|
| 1198 |
+
},
|
| 1199 |
+
{
|
| 1200 |
+
"in_features": 2048,
|
| 1201 |
+
"layer_index": 5,
|
| 1202 |
+
"out_features": 256,
|
| 1203 |
+
"suffix": "self_attn.v_proj"
|
| 1204 |
+
},
|
| 1205 |
+
{
|
| 1206 |
+
"in_features": 2048,
|
| 1207 |
+
"layer_index": 5,
|
| 1208 |
+
"out_features": 2048,
|
| 1209 |
+
"suffix": "self_attn.o_proj"
|
| 1210 |
+
},
|
| 1211 |
+
{
|
| 1212 |
+
"in_features": 2048,
|
| 1213 |
+
"layer_index": 5,
|
| 1214 |
+
"out_features": 16384,
|
| 1215 |
+
"suffix": "mlp.gate_proj"
|
| 1216 |
+
},
|
| 1217 |
+
{
|
| 1218 |
+
"in_features": 2048,
|
| 1219 |
+
"layer_index": 5,
|
| 1220 |
+
"out_features": 16384,
|
| 1221 |
+
"suffix": "mlp.up_proj"
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"in_features": 16384,
|
| 1225 |
+
"layer_index": 5,
|
| 1226 |
+
"out_features": 2048,
|
| 1227 |
+
"suffix": "mlp.down_proj"
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"in_features": 2048,
|
| 1231 |
+
"layer_index": 6,
|
| 1232 |
+
"out_features": 2048,
|
| 1233 |
+
"suffix": "self_attn.q_proj"
|
| 1234 |
+
},
|
| 1235 |
+
{
|
| 1236 |
+
"in_features": 2048,
|
| 1237 |
+
"layer_index": 6,
|
| 1238 |
+
"out_features": 256,
|
| 1239 |
+
"suffix": "self_attn.k_proj"
|
| 1240 |
+
},
|
| 1241 |
+
{
|
| 1242 |
+
"in_features": 2048,
|
| 1243 |
+
"layer_index": 6,
|
| 1244 |
+
"out_features": 256,
|
| 1245 |
+
"suffix": "self_attn.v_proj"
|
| 1246 |
+
},
|
| 1247 |
+
{
|
| 1248 |
+
"in_features": 2048,
|
| 1249 |
+
"layer_index": 6,
|
| 1250 |
+
"out_features": 2048,
|
| 1251 |
+
"suffix": "self_attn.o_proj"
|
| 1252 |
+
},
|
| 1253 |
+
{
|
| 1254 |
+
"in_features": 2048,
|
| 1255 |
+
"layer_index": 6,
|
| 1256 |
+
"out_features": 16384,
|
| 1257 |
+
"suffix": "mlp.gate_proj"
|
| 1258 |
+
},
|
| 1259 |
+
{
|
| 1260 |
+
"in_features": 2048,
|
| 1261 |
+
"layer_index": 6,
|
| 1262 |
+
"out_features": 16384,
|
| 1263 |
+
"suffix": "mlp.up_proj"
|
| 1264 |
+
},
|
| 1265 |
+
{
|
| 1266 |
+
"in_features": 16384,
|
| 1267 |
+
"layer_index": 6,
|
| 1268 |
+
"out_features": 2048,
|
| 1269 |
+
"suffix": "mlp.down_proj"
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"in_features": 2048,
|
| 1273 |
+
"layer_index": 7,
|
| 1274 |
+
"out_features": 2048,
|
| 1275 |
+
"suffix": "self_attn.q_proj"
|
| 1276 |
+
},
|
| 1277 |
+
{
|
| 1278 |
+
"in_features": 2048,
|
| 1279 |
+
"layer_index": 7,
|
| 1280 |
+
"out_features": 256,
|
| 1281 |
+
"suffix": "self_attn.k_proj"
|
| 1282 |
+
},
|
| 1283 |
+
{
|
| 1284 |
+
"in_features": 2048,
|
| 1285 |
+
"layer_index": 7,
|
| 1286 |
+
"out_features": 256,
|
| 1287 |
+
"suffix": "self_attn.v_proj"
|
| 1288 |
+
},
|
| 1289 |
+
{
|
| 1290 |
+
"in_features": 2048,
|
| 1291 |
+
"layer_index": 7,
|
| 1292 |
+
"out_features": 2048,
|
| 1293 |
+
"suffix": "self_attn.o_proj"
|
| 1294 |
+
},
|
| 1295 |
+
{
|
| 1296 |
+
"in_features": 2048,
|
| 1297 |
+
"layer_index": 7,
|
| 1298 |
+
"out_features": 16384,
|
| 1299 |
+
"suffix": "mlp.gate_proj"
|
| 1300 |
+
},
|
| 1301 |
+
{
|
| 1302 |
+
"in_features": 2048,
|
| 1303 |
+
"layer_index": 7,
|
| 1304 |
+
"out_features": 16384,
|
| 1305 |
+
"suffix": "mlp.up_proj"
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"in_features": 16384,
|
| 1309 |
+
"layer_index": 7,
|
| 1310 |
+
"out_features": 2048,
|
| 1311 |
+
"suffix": "mlp.down_proj"
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"in_features": 2048,
|
| 1315 |
+
"layer_index": 8,
|
| 1316 |
+
"out_features": 2048,
|
| 1317 |
+
"suffix": "self_attn.q_proj"
|
| 1318 |
+
},
|
| 1319 |
+
{
|
| 1320 |
+
"in_features": 2048,
|
| 1321 |
+
"layer_index": 8,
|
| 1322 |
+
"out_features": 256,
|
| 1323 |
+
"suffix": "self_attn.k_proj"
|
| 1324 |
+
},
|
| 1325 |
+
{
|
| 1326 |
+
"in_features": 2048,
|
| 1327 |
+
"layer_index": 8,
|
| 1328 |
+
"out_features": 256,
|
| 1329 |
+
"suffix": "self_attn.v_proj"
|
| 1330 |
+
},
|
| 1331 |
+
{
|
| 1332 |
+
"in_features": 2048,
|
| 1333 |
+
"layer_index": 8,
|
| 1334 |
+
"out_features": 2048,
|
| 1335 |
+
"suffix": "self_attn.o_proj"
|
| 1336 |
+
},
|
| 1337 |
+
{
|
| 1338 |
+
"in_features": 2048,
|
| 1339 |
+
"layer_index": 8,
|
| 1340 |
+
"out_features": 16384,
|
| 1341 |
+
"suffix": "mlp.gate_proj"
|
| 1342 |
+
},
|
| 1343 |
+
{
|
| 1344 |
+
"in_features": 2048,
|
| 1345 |
+
"layer_index": 8,
|
| 1346 |
+
"out_features": 16384,
|
| 1347 |
+
"suffix": "mlp.up_proj"
|
| 1348 |
+
},
|
| 1349 |
+
{
|
| 1350 |
+
"in_features": 16384,
|
| 1351 |
+
"layer_index": 8,
|
| 1352 |
+
"out_features": 2048,
|
| 1353 |
+
"suffix": "mlp.down_proj"
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"in_features": 2048,
|
| 1357 |
+
"layer_index": 9,
|
| 1358 |
+
"out_features": 2048,
|
| 1359 |
+
"suffix": "self_attn.q_proj"
|
| 1360 |
+
},
|
| 1361 |
+
{
|
| 1362 |
+
"in_features": 2048,
|
| 1363 |
+
"layer_index": 9,
|
| 1364 |
+
"out_features": 256,
|
| 1365 |
+
"suffix": "self_attn.k_proj"
|
| 1366 |
+
},
|
| 1367 |
+
{
|
| 1368 |
+
"in_features": 2048,
|
| 1369 |
+
"layer_index": 9,
|
| 1370 |
+
"out_features": 256,
|
| 1371 |
+
"suffix": "self_attn.v_proj"
|
| 1372 |
+
},
|
| 1373 |
+
{
|
| 1374 |
+
"in_features": 2048,
|
| 1375 |
+
"layer_index": 9,
|
| 1376 |
+
"out_features": 2048,
|
| 1377 |
+
"suffix": "self_attn.o_proj"
|
| 1378 |
+
},
|
| 1379 |
+
{
|
| 1380 |
+
"in_features": 2048,
|
| 1381 |
+
"layer_index": 9,
|
| 1382 |
+
"out_features": 16384,
|
| 1383 |
+
"suffix": "mlp.gate_proj"
|
| 1384 |
+
},
|
| 1385 |
+
{
|
| 1386 |
+
"in_features": 2048,
|
| 1387 |
+
"layer_index": 9,
|
| 1388 |
+
"out_features": 16384,
|
| 1389 |
+
"suffix": "mlp.up_proj"
|
| 1390 |
+
},
|
| 1391 |
+
{
|
| 1392 |
+
"in_features": 16384,
|
| 1393 |
+
"layer_index": 9,
|
| 1394 |
+
"out_features": 2048,
|
| 1395 |
+
"suffix": "mlp.down_proj"
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"in_features": 2048,
|
| 1399 |
+
"layer_index": 10,
|
| 1400 |
+
"out_features": 2048,
|
| 1401 |
+
"suffix": "self_attn.q_proj"
|
| 1402 |
+
},
|
| 1403 |
+
{
|
| 1404 |
+
"in_features": 2048,
|
| 1405 |
+
"layer_index": 10,
|
| 1406 |
+
"out_features": 256,
|
| 1407 |
+
"suffix": "self_attn.k_proj"
|
| 1408 |
+
},
|
| 1409 |
+
{
|
| 1410 |
+
"in_features": 2048,
|
| 1411 |
+
"layer_index": 10,
|
| 1412 |
+
"out_features": 256,
|
| 1413 |
+
"suffix": "self_attn.v_proj"
|
| 1414 |
+
},
|
| 1415 |
+
{
|
| 1416 |
+
"in_features": 2048,
|
| 1417 |
+
"layer_index": 10,
|
| 1418 |
+
"out_features": 2048,
|
| 1419 |
+
"suffix": "self_attn.o_proj"
|
| 1420 |
+
},
|
| 1421 |
+
{
|
| 1422 |
+
"in_features": 2048,
|
| 1423 |
+
"layer_index": 10,
|
| 1424 |
+
"out_features": 16384,
|
| 1425 |
+
"suffix": "mlp.gate_proj"
|
| 1426 |
+
},
|
| 1427 |
+
{
|
| 1428 |
+
"in_features": 2048,
|
| 1429 |
+
"layer_index": 10,
|
| 1430 |
+
"out_features": 16384,
|
| 1431 |
+
"suffix": "mlp.up_proj"
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"in_features": 16384,
|
| 1435 |
+
"layer_index": 10,
|
| 1436 |
+
"out_features": 2048,
|
| 1437 |
+
"suffix": "mlp.down_proj"
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"in_features": 2048,
|
| 1441 |
+
"layer_index": 11,
|
| 1442 |
+
"out_features": 2048,
|
| 1443 |
+
"suffix": "self_attn.q_proj"
|
| 1444 |
+
},
|
| 1445 |
+
{
|
| 1446 |
+
"in_features": 2048,
|
| 1447 |
+
"layer_index": 11,
|
| 1448 |
+
"out_features": 256,
|
| 1449 |
+
"suffix": "self_attn.k_proj"
|
| 1450 |
+
},
|
| 1451 |
+
{
|
| 1452 |
+
"in_features": 2048,
|
| 1453 |
+
"layer_index": 11,
|
| 1454 |
+
"out_features": 256,
|
| 1455 |
+
"suffix": "self_attn.v_proj"
|
| 1456 |
+
},
|
| 1457 |
+
{
|
| 1458 |
+
"in_features": 2048,
|
| 1459 |
+
"layer_index": 11,
|
| 1460 |
+
"out_features": 2048,
|
| 1461 |
+
"suffix": "self_attn.o_proj"
|
| 1462 |
+
},
|
| 1463 |
+
{
|
| 1464 |
+
"in_features": 2048,
|
| 1465 |
+
"layer_index": 11,
|
| 1466 |
+
"out_features": 16384,
|
| 1467 |
+
"suffix": "mlp.gate_proj"
|
| 1468 |
+
},
|
| 1469 |
+
{
|
| 1470 |
+
"in_features": 2048,
|
| 1471 |
+
"layer_index": 11,
|
| 1472 |
+
"out_features": 16384,
|
| 1473 |
+
"suffix": "mlp.up_proj"
|
| 1474 |
+
},
|
| 1475 |
+
{
|
| 1476 |
+
"in_features": 16384,
|
| 1477 |
+
"layer_index": 11,
|
| 1478 |
+
"out_features": 2048,
|
| 1479 |
+
"suffix": "mlp.down_proj"
|
| 1480 |
+
},
|
| 1481 |
+
{
|
| 1482 |
+
"in_features": 2048,
|
| 1483 |
+
"layer_index": 12,
|
| 1484 |
+
"out_features": 2048,
|
| 1485 |
+
"suffix": "self_attn.q_proj"
|
| 1486 |
+
},
|
| 1487 |
+
{
|
| 1488 |
+
"in_features": 2048,
|
| 1489 |
+
"layer_index": 12,
|
| 1490 |
+
"out_features": 256,
|
| 1491 |
+
"suffix": "self_attn.k_proj"
|
| 1492 |
+
},
|
| 1493 |
+
{
|
| 1494 |
+
"in_features": 2048,
|
| 1495 |
+
"layer_index": 12,
|
| 1496 |
+
"out_features": 256,
|
| 1497 |
+
"suffix": "self_attn.v_proj"
|
| 1498 |
+
},
|
| 1499 |
+
{
|
| 1500 |
+
"in_features": 2048,
|
| 1501 |
+
"layer_index": 12,
|
| 1502 |
+
"out_features": 2048,
|
| 1503 |
+
"suffix": "self_attn.o_proj"
|
| 1504 |
+
},
|
| 1505 |
+
{
|
| 1506 |
+
"in_features": 2048,
|
| 1507 |
+
"layer_index": 12,
|
| 1508 |
+
"out_features": 16384,
|
| 1509 |
+
"suffix": "mlp.gate_proj"
|
| 1510 |
+
},
|
| 1511 |
+
{
|
| 1512 |
+
"in_features": 2048,
|
| 1513 |
+
"layer_index": 12,
|
| 1514 |
+
"out_features": 16384,
|
| 1515 |
+
"suffix": "mlp.up_proj"
|
| 1516 |
+
},
|
| 1517 |
+
{
|
| 1518 |
+
"in_features": 16384,
|
| 1519 |
+
"layer_index": 12,
|
| 1520 |
+
"out_features": 2048,
|
| 1521 |
+
"suffix": "mlp.down_proj"
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"in_features": 2048,
|
| 1525 |
+
"layer_index": 13,
|
| 1526 |
+
"out_features": 2048,
|
| 1527 |
+
"suffix": "self_attn.q_proj"
|
| 1528 |
+
},
|
| 1529 |
+
{
|
| 1530 |
+
"in_features": 2048,
|
| 1531 |
+
"layer_index": 13,
|
| 1532 |
+
"out_features": 256,
|
| 1533 |
+
"suffix": "self_attn.k_proj"
|
| 1534 |
+
},
|
| 1535 |
+
{
|
| 1536 |
+
"in_features": 2048,
|
| 1537 |
+
"layer_index": 13,
|
| 1538 |
+
"out_features": 256,
|
| 1539 |
+
"suffix": "self_attn.v_proj"
|
| 1540 |
+
},
|
| 1541 |
+
{
|
| 1542 |
+
"in_features": 2048,
|
| 1543 |
+
"layer_index": 13,
|
| 1544 |
+
"out_features": 2048,
|
| 1545 |
+
"suffix": "self_attn.o_proj"
|
| 1546 |
+
},
|
| 1547 |
+
{
|
| 1548 |
+
"in_features": 2048,
|
| 1549 |
+
"layer_index": 13,
|
| 1550 |
+
"out_features": 16384,
|
| 1551 |
+
"suffix": "mlp.gate_proj"
|
| 1552 |
+
},
|
| 1553 |
+
{
|
| 1554 |
+
"in_features": 2048,
|
| 1555 |
+
"layer_index": 13,
|
| 1556 |
+
"out_features": 16384,
|
| 1557 |
+
"suffix": "mlp.up_proj"
|
| 1558 |
+
},
|
| 1559 |
+
{
|
| 1560 |
+
"in_features": 16384,
|
| 1561 |
+
"layer_index": 13,
|
| 1562 |
+
"out_features": 2048,
|
| 1563 |
+
"suffix": "mlp.down_proj"
|
| 1564 |
+
},
|
| 1565 |
+
{
|
| 1566 |
+
"in_features": 2048,
|
| 1567 |
+
"layer_index": 14,
|
| 1568 |
+
"out_features": 2048,
|
| 1569 |
+
"suffix": "self_attn.q_proj"
|
| 1570 |
+
},
|
| 1571 |
+
{
|
| 1572 |
+
"in_features": 2048,
|
| 1573 |
+
"layer_index": 14,
|
| 1574 |
+
"out_features": 256,
|
| 1575 |
+
"suffix": "self_attn.k_proj"
|
| 1576 |
+
},
|
| 1577 |
+
{
|
| 1578 |
+
"in_features": 2048,
|
| 1579 |
+
"layer_index": 14,
|
| 1580 |
+
"out_features": 256,
|
| 1581 |
+
"suffix": "self_attn.v_proj"
|
| 1582 |
+
},
|
| 1583 |
+
{
|
| 1584 |
+
"in_features": 2048,
|
| 1585 |
+
"layer_index": 14,
|
| 1586 |
+
"out_features": 2048,
|
| 1587 |
+
"suffix": "self_attn.o_proj"
|
| 1588 |
+
},
|
| 1589 |
+
{
|
| 1590 |
+
"in_features": 2048,
|
| 1591 |
+
"layer_index": 14,
|
| 1592 |
+
"out_features": 16384,
|
| 1593 |
+
"suffix": "mlp.gate_proj"
|
| 1594 |
+
},
|
| 1595 |
+
{
|
| 1596 |
+
"in_features": 2048,
|
| 1597 |
+
"layer_index": 14,
|
| 1598 |
+
"out_features": 16384,
|
| 1599 |
+
"suffix": "mlp.up_proj"
|
| 1600 |
+
},
|
| 1601 |
+
{
|
| 1602 |
+
"in_features": 16384,
|
| 1603 |
+
"layer_index": 14,
|
| 1604 |
+
"out_features": 2048,
|
| 1605 |
+
"suffix": "mlp.down_proj"
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"in_features": 2048,
|
| 1609 |
+
"layer_index": 15,
|
| 1610 |
+
"out_features": 2048,
|
| 1611 |
+
"suffix": "self_attn.q_proj"
|
| 1612 |
+
},
|
| 1613 |
+
{
|
| 1614 |
+
"in_features": 2048,
|
| 1615 |
+
"layer_index": 15,
|
| 1616 |
+
"out_features": 256,
|
| 1617 |
+
"suffix": "self_attn.k_proj"
|
| 1618 |
+
},
|
| 1619 |
+
{
|
| 1620 |
+
"in_features": 2048,
|
| 1621 |
+
"layer_index": 15,
|
| 1622 |
+
"out_features": 256,
|
| 1623 |
+
"suffix": "self_attn.v_proj"
|
| 1624 |
+
},
|
| 1625 |
+
{
|
| 1626 |
+
"in_features": 2048,
|
| 1627 |
+
"layer_index": 15,
|
| 1628 |
+
"out_features": 2048,
|
| 1629 |
+
"suffix": "self_attn.o_proj"
|
| 1630 |
+
},
|
| 1631 |
+
{
|
| 1632 |
+
"in_features": 2048,
|
| 1633 |
+
"layer_index": 15,
|
| 1634 |
+
"out_features": 16384,
|
| 1635 |
+
"suffix": "mlp.gate_proj"
|
| 1636 |
+
},
|
| 1637 |
+
{
|
| 1638 |
+
"in_features": 2048,
|
| 1639 |
+
"layer_index": 15,
|
| 1640 |
+
"out_features": 16384,
|
| 1641 |
+
"suffix": "mlp.up_proj"
|
| 1642 |
+
},
|
| 1643 |
+
{
|
| 1644 |
+
"in_features": 16384,
|
| 1645 |
+
"layer_index": 15,
|
| 1646 |
+
"out_features": 2048,
|
| 1647 |
+
"suffix": "mlp.down_proj"
|
| 1648 |
+
},
|
| 1649 |
+
{
|
| 1650 |
+
"in_features": 2048,
|
| 1651 |
+
"layer_index": 16,
|
| 1652 |
+
"out_features": 2048,
|
| 1653 |
+
"suffix": "self_attn.q_proj"
|
| 1654 |
+
},
|
| 1655 |
+
{
|
| 1656 |
+
"in_features": 2048,
|
| 1657 |
+
"layer_index": 16,
|
| 1658 |
+
"out_features": 256,
|
| 1659 |
+
"suffix": "self_attn.k_proj"
|
| 1660 |
+
},
|
| 1661 |
+
{
|
| 1662 |
+
"in_features": 2048,
|
| 1663 |
+
"layer_index": 16,
|
| 1664 |
+
"out_features": 256,
|
| 1665 |
+
"suffix": "self_attn.v_proj"
|
| 1666 |
+
},
|
| 1667 |
+
{
|
| 1668 |
+
"in_features": 2048,
|
| 1669 |
+
"layer_index": 16,
|
| 1670 |
+
"out_features": 2048,
|
| 1671 |
+
"suffix": "self_attn.o_proj"
|
| 1672 |
+
},
|
| 1673 |
+
{
|
| 1674 |
+
"in_features": 2048,
|
| 1675 |
+
"layer_index": 16,
|
| 1676 |
+
"out_features": 16384,
|
| 1677 |
+
"suffix": "mlp.gate_proj"
|
| 1678 |
+
},
|
| 1679 |
+
{
|
| 1680 |
+
"in_features": 2048,
|
| 1681 |
+
"layer_index": 16,
|
| 1682 |
+
"out_features": 16384,
|
| 1683 |
+
"suffix": "mlp.up_proj"
|
| 1684 |
+
},
|
| 1685 |
+
{
|
| 1686 |
+
"in_features": 16384,
|
| 1687 |
+
"layer_index": 16,
|
| 1688 |
+
"out_features": 2048,
|
| 1689 |
+
"suffix": "mlp.down_proj"
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"in_features": 2048,
|
| 1693 |
+
"layer_index": 17,
|
| 1694 |
+
"out_features": 2048,
|
| 1695 |
+
"suffix": "self_attn.q_proj"
|
| 1696 |
+
},
|
| 1697 |
+
{
|
| 1698 |
+
"in_features": 2048,
|
| 1699 |
+
"layer_index": 17,
|
| 1700 |
+
"out_features": 256,
|
| 1701 |
+
"suffix": "self_attn.k_proj"
|
| 1702 |
+
},
|
| 1703 |
+
{
|
| 1704 |
+
"in_features": 2048,
|
| 1705 |
+
"layer_index": 17,
|
| 1706 |
+
"out_features": 256,
|
| 1707 |
+
"suffix": "self_attn.v_proj"
|
| 1708 |
+
},
|
| 1709 |
+
{
|
| 1710 |
+
"in_features": 2048,
|
| 1711 |
+
"layer_index": 17,
|
| 1712 |
+
"out_features": 2048,
|
| 1713 |
+
"suffix": "self_attn.o_proj"
|
| 1714 |
+
},
|
| 1715 |
+
{
|
| 1716 |
+
"in_features": 2048,
|
| 1717 |
+
"layer_index": 17,
|
| 1718 |
+
"out_features": 16384,
|
| 1719 |
+
"suffix": "mlp.gate_proj"
|
| 1720 |
+
},
|
| 1721 |
+
{
|
| 1722 |
+
"in_features": 2048,
|
| 1723 |
+
"layer_index": 17,
|
| 1724 |
+
"out_features": 16384,
|
| 1725 |
+
"suffix": "mlp.up_proj"
|
| 1726 |
+
},
|
| 1727 |
+
{
|
| 1728 |
+
"in_features": 16384,
|
| 1729 |
+
"layer_index": 17,
|
| 1730 |
+
"out_features": 2048,
|
| 1731 |
+
"suffix": "mlp.down_proj"
|
| 1732 |
+
}
|
| 1733 |
+
],
|
| 1734 |
+
"world_size": 2
|
| 1735 |
+
}
|
sha256sums.txt
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
3955d42398d8f7f68a69e40e8c5088d9988e470dadfb871c68f5b2eb7880135a README.md
|
| 2 |
+
4f7dcd98f829cc2310dd40cb23c97e080c648dc62f8fc00224ff55ba198785e9 adapter.safetensors
|
| 3 |
+
28e512e1cf6bb48711468f1c243c6cae097b9ebd0f767defc5c5cfb2ee7f401f metadata.json
|
| 4 |
+
ebdc698ae9e88ab91e81dbfacc3d8e5298b620f4699773b6331c818f06ccce75 inference_config.json
|
| 5 |
+
c80e3632d6967ec7522a3b9330738bf8a05d0783688d10f07ad4b97c04555e27 assets/Takizz/piperx-sortletter-0911-0917-140ep-raw/norm_stats.json
|