Add files using upload-large-folder tool
Browse files- .gitattributes +2 -0
- README.md +123 -0
- chat_template.jinja +154 -0
- config.json +1327 -0
- generation_config.json +13 -0
- model-00001-of-00016.safetensors +3 -0
- model-00002-of-00016.safetensors +3 -0
- model-00003-of-00016.safetensors +3 -0
- model-00004-of-00016.safetensors +3 -0
- model-00005-of-00016.safetensors +3 -0
- model-00006-of-00016.safetensors +3 -0
- model-00007-of-00016.safetensors +3 -0
- model-00008-of-00016.safetensors +3 -0
- model-00009-of-00016.safetensors +3 -0
- model-00010-of-00016.safetensors +3 -0
- model-00011-of-00016.safetensors +3 -0
- model-00012-of-00016.safetensors +3 -0
- model-00013-of-00016.safetensors +3 -0
- model-00014-of-00016.safetensors +3 -0
- model-00015-of-00016.safetensors +3 -0
- model-00016-of-00016.safetensors +3 -0
- model-mtp.safetensors +3 -0
- model.safetensors.index.json +0 -0
- tokenizer.json +3 -0
- tokenizer_config.json +32 -0
.gitattributes
CHANGED
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@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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| 36 |
+
gguf/Qwen3.6-35B-A3B-lynn-prod-Q4_K_M-imatrix.gguf filter=lfs diff=lfs merge=lfs -text
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| 37 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
ADDED
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@@ -0,0 +1,123 @@
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| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model:
|
| 4 |
+
- nerkyor/Qwen3.6-35B-A3B-DSV4Pro-Thinking-Distill
|
| 5 |
+
- Qwen/Qwen3.6-35B-A3B
|
| 6 |
+
base_model_relation: quantized
|
| 7 |
+
language:
|
| 8 |
+
- en
|
| 9 |
+
- zh
|
| 10 |
+
pipeline_tag: text-generation
|
| 11 |
+
tags:
|
| 12 |
+
- mxfp4
|
| 13 |
+
- quantized
|
| 14 |
+
- compressed-tensors
|
| 15 |
+
- rocm
|
| 16 |
+
- rdna4
|
| 17 |
+
- moe
|
| 18 |
+
- qwen3
|
| 19 |
+
- distillation
|
| 20 |
+
- deepseek-v4
|
| 21 |
+
- reasoning
|
| 22 |
+
- thinking
|
| 23 |
+
- agentic
|
| 24 |
+
---
|
| 25 |
+
|
| 26 |
+
# Qwen3.6-35B-A3B-DSV4Pro-Thinking-Distill — MXFP4 (RDNA4 / R9700)
|
| 27 |
+
|
| 28 |
+
MXFP4 quantization of [`nerkyor/Qwen3.6-35B-A3B-DSV4Pro-Thinking-Distill`](https://huggingface.co/nerkyor/Qwen3.6-35B-A3B-DSV4Pro-Thinking-Distill)
|
| 29 |
+
— a DeepSeek-V4-Pro thinking-style LoRA distill of Qwen3.6-35B-A3B — built to run on **AMD
|
| 30 |
+
RDNA4** (Radeon AI PRO R9700 / RX 9070 XT) under the
|
| 31 |
+
[`tcclaviger/vllm-rocm-mxfp4-nvfp4`](https://hub.docker.com/r/tcclaviger/vllm-rocm-mxfp4-nvfp4)
|
| 32 |
+
vLLM container, **with multi-token-prediction (MTP) speculative decoding grafted back in.**
|
| 33 |
+
|
| 34 |
+
As far as I know this is the **first RDNA4-loadable MXFP4 of this distill.** The distill's own
|
| 35 |
+
NVFP4 build targets SGLang/Blackwell and crashes this container; this build loads cleanly and
|
| 36 |
+
benches **at parity with the production base** ([`pahajokiconsulting/Qwen3.6-35B-A3B-MXFP4`](https://huggingface.co/pahajokiconsulting/Qwen3.6-35B-A3B-MXFP4)).
|
| 37 |
+
|
| 38 |
+
- **69.3 GB BF16 → 21 GB MXFP4** (~30%)
|
| 39 |
+
- Recipe, tooling & full build log: **https://github.com/Capicua25x/qwen3.6-mxfp4-rdna4**
|
| 40 |
+
|
| 41 |
+
## Serving (vLLM, 2× R9700, TP2)
|
| 42 |
+
|
| 43 |
+
```bash
|
| 44 |
+
vllm serve Capicua25x/Qwen3.6-35B-A3B-DSV4Pro-Thinking-Distill-MXFP4 \
|
| 45 |
+
--tensor-parallel-size 2 --gpu-memory-utilization 0.92 --max-model-len 262144 \
|
| 46 |
+
--language-model-only \
|
| 47 |
+
--enable-prefix-caching --max-num-seqs 64 \
|
| 48 |
+
--enable-auto-tool-choice --tool-call-parser qwen3_xml --reasoning-parser qwen3 \
|
| 49 |
+
--speculative-config '{"method":"mtp","num_speculative_tokens":3}'
|
| 50 |
+
```
|
| 51 |
+
|
| 52 |
+
⚠️ **`--language-model-only` is REQUIRED.** This is a text-only checkpoint, but its `config.json`
|
| 53 |
+
is wrapped in the multimodal `Qwen3_5MoeConfig` shape so the container's
|
| 54 |
+
`Qwen3_5MoeForConditionalGeneration` loader accepts it; the flag makes the (weightless) vision
|
| 55 |
+
tower a no-init stub. Without it, loading fails. Inference: thinking-on, `temperature=0.6 / top_p=0.95`.
|
| 56 |
+
|
| 57 |
+
## Performance (2× R9700, MTP-3)
|
| 58 |
+
|
| 59 |
+
| Metric | This build | Base (pahajoki, MTP-3) |
|
| 60 |
+
|---|---|---|
|
| 61 |
+
| Single-stream, short prompt | **~107 tok/s** | ~100 |
|
| 62 |
+
| Single-stream, 6k prompt | **~82 tok/s** | ~100 |
|
| 63 |
+
| Concurrency ceiling, short prompt | **~128** | ~128 |
|
| 64 |
+
| MTP draft acceptance | ~55% (grafted) | ~81% (native) |
|
| 65 |
+
|
| 66 |
+
Single-stream edges out the base; short-prompt concurrency matches. In an agentic eval
|
| 67 |
+
(thinking-on, tool-calling) this distill ran **~4× faster per turn-chain than the base** at equal
|
| 68 |
+
task success — its DS-V4-Pro distillation makes it *decisive* (fewer tokens to a decision).
|
| 69 |
+
|
| 70 |
+
## Reproduce — step by step
|
| 71 |
+
|
| 72 |
+
Full scripts in the [companion repo](https://github.com/Capicua25x/qwen3.6-mxfp4-rdna4). The
|
| 73 |
+
recipe is **generic for the Qwen `qwen3_5_moe` family** on RDNA4.
|
| 74 |
+
|
| 75 |
+
**0. Tooling.** Clone [olka/qstream](https://github.com/olka/qstream) `master` (includes the
|
| 76 |
+
merged Qwen3.6 fix) into a venv: `pip install -e qstream`.
|
| 77 |
+
|
| 78 |
+
**1. Quantize (CPU, RTN — no GPU).** The qstream defaults *are* the recipe:
|
| 79 |
+
```bash
|
| 80 |
+
qstream-quantize --model_dir <bf16-distill> --output_dir <out> --workers 8 --format ct
|
| 81 |
+
```
|
| 82 |
+
Keeps BF16: `*self_attn* *.mlp.gate. *shared_expert* *lm_head* *embed_tokens* *visual* *mtp*`.
|
| 83 |
+
Quantizes to MXFP4 (compressed-tensors `mxfp4-pack-quantized`, per-expert, group-32 symmetric,
|
| 84 |
+
MSE-optimal scale): the `linear_attn` projections + all 256 routed experts.
|
| 85 |
+
|
| 86 |
+
**2. Wrap the config (text-only checkpoints only).** The RDNA4 container only registers the
|
| 87 |
+
multimodal loader, so rewrap `config.json` into `Qwen3_5MoeConfig` shape — nest the text fields
|
| 88 |
+
under `text_config`, graft a `vision_config` + vision/image token ids from a multimodal build
|
| 89 |
+
(e.g. pahajoki's base) — then always serve with `--language-model-only`. (`scripts/wrap-config.py`)
|
| 90 |
+
|
| 91 |
+
**3. Graft MTP (optional; restores speculative decoding).** This distill shipped
|
| 92 |
+
`mtp_num_hidden_layers: 0`. The base Qwen3.6 MTP block is dim-identical, so: copy the base's 785
|
| 93 |
+
BF16 `mtp.*` tensors into a new shard, set `mtp_num_hidden_layers: 1`, **and add the `mtp.*`
|
| 94 |
+
modules to `quantization_config.ignore`** (else vLLM loads them as quantized →
|
| 95 |
+
`fc.weight not found in params_dict`). (`scripts/graft-mtp.py`)
|
| 96 |
+
|
| 97 |
+
## Caveats
|
| 98 |
+
|
| 99 |
+
- Built/tested only on **gfx1201 (RDNA4)** with `tcclaviger/vllm-rocm-mxfp4-nvfp4`.
|
| 100 |
+
- Reasons **inline in `content`** — the qwen3 reasoning-parser returns empty `reasoning_content`.
|
| 101 |
+
- `--language-model-only` required (see Serving).
|
| 102 |
+
- Grafted MTP acceptance ~55% vs ~81% native; a native MTP retrain would lift it. MTP is lossless.
|
| 103 |
+
|
| 104 |
+
## Credits & acknowledgments
|
| 105 |
+
|
| 106 |
+
This build stands entirely on others' work — full credit to:
|
| 107 |
+
|
| 108 |
+
- **The Qwen team (Alibaba)** — [Qwen3.6-35B-A3B](https://huggingface.co/Qwen/Qwen3.6-35B-A3B),
|
| 109 |
+
the base model and architecture (Apache-2.0).
|
| 110 |
+
- **nerkyor / "Lynn"** — the [DSV4Pro-Thinking distill](https://huggingface.co/nerkyor/Qwen3.6-35B-A3B-DSV4Pro-Thinking-Distill)
|
| 111 |
+
this quantizes; the actual reasoning capability is theirs.
|
| 112 |
+
- **DeepSeek-AI** — DeepSeek-V4-Pro, the distillation teacher.
|
| 113 |
+
- **olka** — [qstream](https://github.com/olka/qstream), the streamable MXFP4 quantizer.
|
| 114 |
+
- **kallepahajoki** — the qstream Qwen3.6-family fix (PR #1: shared-expert + fused-passthrough)
|
| 115 |
+
and the reference MXFP4 recipe published as
|
| 116 |
+
[`pahajokiconsulting/Qwen3.6-35B-A3B-MXFP4`](https://huggingface.co/pahajokiconsulting/Qwen3.6-35B-A3B-MXFP4),
|
| 117 |
+
including the BF16/MXFP4 exclude set and the MTP layout this graft borrows.
|
| 118 |
+
- **tcclaviger** — the [RDNA4/gfx12 MXFP4 vLLM container & custom MoE kernel](https://hub.docker.com/r/tcclaviger/vllm-rocm-mxfp4-nvfp4)
|
| 119 |
+
that makes any of this run on consumer/pro AMD cards.
|
| 120 |
+
- Distillation technique lineage (from the source distill): ReAct (Yao et al., 2022,
|
| 121 |
+
arXiv:2210.03629), Self-Instruct/Baize, AgentTuning, ToolBench, DeepSeek-R1 distillation.
|
| 122 |
+
|
| 123 |
+
Quantization + RDNA4 packaging (config-wrap + MTP graft) by **Capicua25x**. Apache-2.0.
|
chat_template.jinja
ADDED
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| 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 (preserve_thinking is defined and preserve_thinking is true) or (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 | string if args_value is string else args_value | tojson | safe %}
|
| 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 +1,1327 @@
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|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5MoeForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"model_type": "qwen3_5_moe",
|
| 6 |
+
"text_config": {
|
| 7 |
+
"attention_bias": false,
|
| 8 |
+
"attention_dropout": 0.0,
|
| 9 |
+
"attn_output_gate": true,
|
| 10 |
+
"bos_token_id": 248044,
|
| 11 |
+
"dtype": "bfloat16",
|
| 12 |
+
"eos_token_id": 248044,
|
| 13 |
+
"full_attention_interval": 4,
|
| 14 |
+
"head_dim": 256,
|
| 15 |
+
"hidden_act": "silu",
|
| 16 |
+
"hidden_size": 2048,
|
| 17 |
+
"initializer_range": 0.02,
|
| 18 |
+
"layer_types": [
|
| 19 |
+
"linear_attention",
|
| 20 |
+
"linear_attention",
|
| 21 |
+
"linear_attention",
|
| 22 |
+
"full_attention",
|
| 23 |
+
"linear_attention",
|
| 24 |
+
"linear_attention",
|
| 25 |
+
"linear_attention",
|
| 26 |
+
"full_attention",
|
| 27 |
+
"linear_attention",
|
| 28 |
+
"linear_attention",
|
| 29 |
+
"linear_attention",
|
| 30 |
+
"full_attention",
|
| 31 |
+
"linear_attention",
|
| 32 |
+
"linear_attention",
|
| 33 |
+
"linear_attention",
|
| 34 |
+
"full_attention",
|
| 35 |
+
"linear_attention",
|
| 36 |
+
"linear_attention",
|
| 37 |
+
"linear_attention",
|
| 38 |
+
"full_attention",
|
| 39 |
+
"linear_attention",
|
| 40 |
+
"linear_attention",
|
| 41 |
+
"linear_attention",
|
| 42 |
+
"full_attention",
|
| 43 |
+
"linear_attention",
|
| 44 |
+
"linear_attention",
|
| 45 |
+
"linear_attention",
|
| 46 |
+
"full_attention",
|
| 47 |
+
"linear_attention",
|
| 48 |
+
"linear_attention",
|
| 49 |
+
"linear_attention",
|
| 50 |
+
"full_attention",
|
| 51 |
+
"linear_attention",
|
| 52 |
+
"linear_attention",
|
| 53 |
+
"linear_attention",
|
| 54 |
+
"full_attention",
|
| 55 |
+
"linear_attention",
|
| 56 |
+
"linear_attention",
|
| 57 |
+
"linear_attention",
|
| 58 |
+
"full_attention"
|
| 59 |
+
],
|
| 60 |
+
"linear_conv_kernel_dim": 4,
|
| 61 |
+
"linear_key_head_dim": 128,
|
| 62 |
+
"linear_num_key_heads": 16,
|
| 63 |
+
"linear_num_value_heads": 32,
|
| 64 |
+
"linear_value_head_dim": 128,
|
| 65 |
+
"mamba_ssm_dtype": "float32",
|
| 66 |
+
"max_position_embeddings": 262144,
|
| 67 |
+
"model_type": "qwen3_5_moe_text",
|
| 68 |
+
"moe_intermediate_size": 512,
|
| 69 |
+
"mtp_num_hidden_layers": 1,
|
| 70 |
+
"mtp_use_dedicated_embeddings": false,
|
| 71 |
+
"num_attention_heads": 16,
|
| 72 |
+
"num_experts": 256,
|
| 73 |
+
"num_experts_per_tok": 8,
|
| 74 |
+
"num_hidden_layers": 40,
|
| 75 |
+
"num_key_value_heads": 2,
|
| 76 |
+
"output_router_logits": false,
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|
| 1320 |
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|
| 1321 |
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|
| 1322 |
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|
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|
| 1324 |
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|
| 1325 |
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|
| 1326 |
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|
| 1327 |
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generation_config.json
ADDED
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