ThinkLess release (private review)
Browse files- .gitattributes +1 -0
- README.md +58 -0
- chat_template.jinja +154 -0
- config.json +159 -0
- generation_config.json +10 -0
- model.safetensors +3 -0
- model.safetensors.index.json +528 -0
- model_mtp.safetensors +3 -0
- preprocessor_config.json +21 -0
- recipe.yaml +8 -0
- tokenizer.json +3 -0
- tokenizer_config.json +33 -0
- video_preprocessor_config.json +21 -0
- vocab.json +0 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ 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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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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@@ -0,0 +1,58 @@
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| 1 |
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---
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license: apache-2.0
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base_model: Shaik1903/ThinkLess-2B
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base_model_relation: quantized
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language:
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- en
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pipeline_tag: text-generation
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library_name: transformers
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tags:
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- reasoning
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- efficient-reasoning
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- math
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- fp8
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- compressed-tensors
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- qwen3.5
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---
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# ThinkLess-2B-FP8
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**FP8 version of [ThinkLess-2B](https://huggingface.co/Shaik1903/ThinkLess-2B)**: 8-bit floating-point weights and
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activations, **2.4 GB** (bf16: 4.3 GB), with near-identical accuracy. Made with
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[llm-compressor](https://github.com/vllm-project/llm-compressor) (`FP8_DYNAMIC`: per-channel FP8 weights, dynamic
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per-token FP8 activations, no calibration data). The output head, vision tower and MTP heads stay in 16-bit.
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## Accuracy (81,920-token budget, thinking on)
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| Benchmark | ThinkLess-2B (bf16) | **ThinkLess-2B-FP8** | Mean tokens: bf16 → FP8 |
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|---|---|---|---|
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| GSM8K | 90.1 | **88.6** | 3,341 → 3,512 |
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| MATH-500 | 88.8 | **88.2** | 12,412 → 12,680 |
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| GPQA-Diamond | 52.8 | **51.5** | 16,370 → 17,270 |
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The differences are within the 95% confidence intervals, and answers stay just as short (cut-offs ≤ 1%).
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**Why FP8 and not 4-bit:** a 4-bit AWQ version of ThinkLess-2B lost 7–15 points (MATH-500 88.8 → 74.1), made
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answers *longer* and was slower than bf16 on an H100. Small reasoning models are sensitive to low-bit weights over
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long reasoning chains; FP8 keeps the accuracy.
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## Serving (vLLM 0.30, one H100, max 8,192 output tokens)
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| Configuration | Concurrency 1: tokens/s | Concurrency 1: median latency | Concurrency 16: requests/s | MTP acceptance |
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|---|---|---|---|---|
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| Qwen3.5-2B (base) | 400 | 20.0 s | 0.66 | – |
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| ThinkLess-2B (bf16) | 396 | 10.3 s | 0.83 | – |
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| **ThinkLess-2B-FP8** | **440** | 9.6 s | **0.88** | – |
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| **ThinkLess-2B-FP8 + MTP** | **557** | **6.9 s** | **0.99** | 54% |
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## How to use
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```bash
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vllm serve Shaik1903/ThinkLess-2B-FP8 --speculative-config '{"method":"mtp","num_speculative_tokens":2}'
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```
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FP8 compute needs a GPU with FP8 support (NVIDIA Hopper or Ada, e.g. H100, L4, RTX 40-series); vLLM loads the
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`compressed-tensors` format directly. Use Qwen3.5's thinking-mode sampling (temperature 1.0, top-p 0.95, top-k 20,
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presence penalty 1.5).
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Training details, evaluation protocol and limitations: [ThinkLess-2B](https://huggingface.co/Shaik1903/ThinkLess-2B).
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chat_template.jinja
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| 1 |
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{%- set image_count = namespace(value=0) %}
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{%- set video_count = namespace(value=0) %}
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{%- macro render_content(content, do_vision_count, is_system_content=false) %}
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{%- if content is string %}
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{{- content }}
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{%- elif content is iterable and content is not mapping %}
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{%- for item in content %}
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| 8 |
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{%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
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| 9 |
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{%- if is_system_content %}
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{{- raise_exception('System message cannot contain images.') }}
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| 11 |
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{%- endif %}
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{%- if do_vision_count %}
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{%- set image_count.value = image_count.value + 1 %}
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{%- endif %}
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{%- if add_vision_id %}
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{{- 'Picture ' ~ image_count.value ~ ': ' }}
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{%- endif %}
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{{- '<|vision_start|><|image_pad|><|vision_end|>' }}
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| 19 |
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{%- elif 'video' in item or item.type == 'video' %}
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{%- if is_system_content %}
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| 21 |
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{{- raise_exception('System message cannot contain videos.') }}
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| 22 |
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{%- endif %}
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| 23 |
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{%- if do_vision_count %}
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{%- set video_count.value = video_count.value + 1 %}
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{%- endif %}
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| 26 |
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{%- if add_vision_id %}
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| 27 |
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{{- 'Video ' ~ video_count.value ~ ': ' }}
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{%- endif %}
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| 29 |
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{{- '<|vision_start|><|video_pad|><|vision_end|>' }}
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{%- elif 'text' in item %}
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{{- item.text }}
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| 32 |
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{%- else %}
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{{- raise_exception('Unexpected item type in content.') }}
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| 34 |
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{%- endif %}
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| 35 |
+
{%- endfor %}
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| 36 |
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{%- elif content is none or content is undefined %}
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{{- '' }}
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| 38 |
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{%- else %}
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| 39 |
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{{- raise_exception('Unexpected content type.') }}
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| 40 |
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{%- endif %}
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{%- endmacro %}
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| 42 |
+
{%- if not messages %}
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| 43 |
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{{- raise_exception('No messages provided.') }}
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| 44 |
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{%- endif %}
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{%- if tools and tools is iterable and tools is not mapping %}
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{{- '<|im_start|>system\n' }}
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{{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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| 50 |
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{{- tool | tojson }}
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{%- endfor %}
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| 52 |
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{{- "\n</tools>" }}
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{{- '\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>' }}
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{%- if messages[0].role == 'system' %}
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| 55 |
+
{%- set content = render_content(messages[0].content, false, true)|trim %}
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| 56 |
+
{%- if content %}
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| 57 |
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{{- '\n\n' + content }}
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| 58 |
+
{%- endif %}
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| 59 |
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{%- endif %}
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| 60 |
+
{{- '<|im_end|>\n' }}
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| 61 |
+
{%- else %}
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| 62 |
+
{%- if messages[0].role == 'system' %}
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| 63 |
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{%- set content = render_content(messages[0].content, false, true)|trim %}
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| 64 |
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{{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
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| 65 |
+
{%- endif %}
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| 66 |
+
{%- endif %}
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| 67 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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| 68 |
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{%- for message in messages[::-1] %}
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| 69 |
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{%- set index = (messages|length - 1) - loop.index0 %}
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| 70 |
+
{%- if ns.multi_step_tool and message.role == "user" %}
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| 71 |
+
{%- set content = render_content(message.content, false)|trim %}
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| 72 |
+
{%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
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| 73 |
+
{%- set ns.multi_step_tool = false %}
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| 74 |
+
{%- set ns.last_query_index = index %}
|
| 75 |
+
{%- endif %}
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| 76 |
+
{%- endif %}
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| 77 |
+
{%- endfor %}
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| 78 |
+
{%- if ns.multi_step_tool %}
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| 79 |
+
{{- raise_exception('No user query found in messages.') }}
|
| 80 |
+
{%- endif %}
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| 81 |
+
{%- for message in messages %}
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| 82 |
+
{%- set content = render_content(message.content, true)|trim %}
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| 83 |
+
{%- if message.role == "system" %}
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| 84 |
+
{%- if not loop.first %}
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| 85 |
+
{{- raise_exception('System message must be at the beginning.') }}
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| 86 |
+
{%- endif %}
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| 87 |
+
{%- elif message.role == "user" %}
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| 88 |
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{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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| 89 |
+
{%- elif message.role == "assistant" %}
|
| 90 |
+
{%- set reasoning_content = '' %}
|
| 91 |
+
{%- if message.reasoning_content is string %}
|
| 92 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 93 |
+
{%- else %}
|
| 94 |
+
{%- if '</think>' in content %}
|
| 95 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 96 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 97 |
+
{%- endif %}
|
| 98 |
+
{%- endif %}
|
| 99 |
+
{%- set reasoning_content = reasoning_content|trim %}
|
| 100 |
+
{%- if loop.index0 > ns.last_query_index %}
|
| 101 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
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| 102 |
+
{%- else %}
|
| 103 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
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| 104 |
+
{%- endif %}
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| 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 %}
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| 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' }}
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| 122 |
+
{%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
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| 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 %}
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| 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 %}
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| 147 |
+
{%- if add_generation_prompt %}
|
| 148 |
+
{{- '<|im_start|>assistant\n' }}
|
| 149 |
+
{%- if enable_thinking is defined and enable_thinking is true %}
|
| 150 |
+
{{- '<think>\n' }}
|
| 151 |
+
{%- else %}
|
| 152 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 153 |
+
{%- endif %}
|
| 154 |
+
{%- endif %}
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config.json
ADDED
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@@ -0,0 +1,159 @@
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|
|
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|
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|
|
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|
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|
|
|
|
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|
|
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|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
|
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|
|
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|
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|
|
|
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|
|
|
|
|
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|
|
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|
|
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|
|
|
|
|
|
|
|
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|
|
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|
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|
|
|
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|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
|
|
|
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|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5ForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
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"dtype": "float32",
|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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"pad_token_id": 248044,
|
| 10 |
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"quantization_config": {
|
| 11 |
+
"config_groups": {
|
| 12 |
+
"group_0": {
|
| 13 |
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"format": "float-quantized",
|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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"observer": null,
|
| 21 |
+
"observer_kwargs": {},
|
| 22 |
+
"scale_dtype": null,
|
| 23 |
+
"strategy": "token",
|
| 24 |
+
"symmetric": true,
|
| 25 |
+
"type": "float",
|
| 26 |
+
"zp_dtype": null
|
| 27 |
+
},
|
| 28 |
+
"output_activations": null,
|
| 29 |
+
"targets": [
|
| 30 |
+
"Linear"
|
| 31 |
+
],
|
| 32 |
+
"weights": {
|
| 33 |
+
"actorder": null,
|
| 34 |
+
"block_structure": null,
|
| 35 |
+
"dynamic": false,
|
| 36 |
+
"group_size": null,
|
| 37 |
+
"num_bits": 8,
|
| 38 |
+
"observer": "memoryless_minmax",
|
| 39 |
+
"observer_kwargs": {},
|
| 40 |
+
"scale_dtype": null,
|
| 41 |
+
"strategy": "channel",
|
| 42 |
+
"symmetric": true,
|
| 43 |
+
"type": "float",
|
| 44 |
+
"zp_dtype": null
|
| 45 |
+
}
|
| 46 |
+
}
|
| 47 |
+
},
|
| 48 |
+
"format": "float-quantized",
|
| 49 |
+
"global_compression_ratio": null,
|
| 50 |
+
"ignore": [
|
| 51 |
+
"lm_head",
|
| 52 |
+
"re:^mtp.*"
|
| 53 |
+
],
|
| 54 |
+
"kv_cache_scheme": null,
|
| 55 |
+
"quant_method": "compressed-tensors",
|
| 56 |
+
"quantization_status": "compressed",
|
| 57 |
+
"sparsity_config": {},
|
| 58 |
+
"transform_config": {},
|
| 59 |
+
"version": "0.19.0"
|
| 60 |
+
},
|
| 61 |
+
"text_config": {
|
| 62 |
+
"attention_bias": false,
|
| 63 |
+
"attention_dropout": 0.0,
|
| 64 |
+
"attn_output_gate": true,
|
| 65 |
+
"bos_token_id": null,
|
| 66 |
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"dtype": "bfloat16",
|
| 67 |
+
"eos_token_id": 248044,
|
| 68 |
+
"full_attention_interval": 4,
|
| 69 |
+
"head_dim": 256,
|
| 70 |
+
"hidden_act": "silu",
|
| 71 |
+
"hidden_size": 2048,
|
| 72 |
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"initializer_range": 0.02,
|
| 73 |
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"intermediate_size": 6144,
|
| 74 |
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"layer_types": [
|
| 75 |
+
"linear_attention",
|
| 76 |
+
"linear_attention",
|
| 77 |
+
"linear_attention",
|
| 78 |
+
"full_attention",
|
| 79 |
+
"linear_attention",
|
| 80 |
+
"linear_attention",
|
| 81 |
+
"linear_attention",
|
| 82 |
+
"full_attention",
|
| 83 |
+
"linear_attention",
|
| 84 |
+
"linear_attention",
|
| 85 |
+
"linear_attention",
|
| 86 |
+
"full_attention",
|
| 87 |
+
"linear_attention",
|
| 88 |
+
"linear_attention",
|
| 89 |
+
"linear_attention",
|
| 90 |
+
"full_attention",
|
| 91 |
+
"linear_attention",
|
| 92 |
+
"linear_attention",
|
| 93 |
+
"linear_attention",
|
| 94 |
+
"full_attention",
|
| 95 |
+
"linear_attention",
|
| 96 |
+
"linear_attention",
|
| 97 |
+
"linear_attention",
|
| 98 |
+
"full_attention"
|
| 99 |
+
],
|
| 100 |
+
"linear_conv_kernel_dim": 4,
|
| 101 |
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"linear_key_head_dim": 128,
|
| 102 |
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"linear_num_key_heads": 16,
|
| 103 |
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"linear_num_value_heads": 16,
|
| 104 |
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"linear_value_head_dim": 128,
|
| 105 |
+
"mamba_ssm_dtype": "float32",
|
| 106 |
+
"max_position_embeddings": 262144,
|
| 107 |
+
"mlp_only_layers": [],
|
| 108 |
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"model_type": "qwen3_5_text",
|
| 109 |
+
"mtp_num_hidden_layers": 1,
|
| 110 |
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"mtp_use_dedicated_embeddings": false,
|
| 111 |
+
"num_attention_heads": 8,
|
| 112 |
+
"num_hidden_layers": 24,
|
| 113 |
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"num_key_value_heads": 2,
|
| 114 |
+
"pad_token_id": 248044,
|
| 115 |
+
"partial_rotary_factor": 0.25,
|
| 116 |
+
"rms_norm_eps": 1e-06,
|
| 117 |
+
"rope_parameters": {
|
| 118 |
+
"mrope_interleaved": true,
|
| 119 |
+
"mrope_section": [
|
| 120 |
+
11,
|
| 121 |
+
11,
|
| 122 |
+
10
|
| 123 |
+
],
|
| 124 |
+
"partial_rotary_factor": 0.25,
|
| 125 |
+
"rope_theta": 10000000,
|
| 126 |
+
"rope_type": "default"
|
| 127 |
+
},
|
| 128 |
+
"tie_word_embeddings": true,
|
| 129 |
+
"use_cache": true,
|
| 130 |
+
"vocab_size": 248320
|
| 131 |
+
},
|
| 132 |
+
"tie_word_embeddings": true,
|
| 133 |
+
"transformers_version": "5.17.0",
|
| 134 |
+
"use_cache": false,
|
| 135 |
+
"video_token_id": 248057,
|
| 136 |
+
"vision_config": {
|
| 137 |
+
"deepstack_visual_indexes": [],
|
| 138 |
+
"depth": 24,
|
| 139 |
+
"dtype": "float32",
|
| 140 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 141 |
+
"hidden_size": 1024,
|
| 142 |
+
"in_channels": 3,
|
| 143 |
+
"initializer_range": 0.02,
|
| 144 |
+
"intermediate_size": 4096,
|
| 145 |
+
"model_type": "qwen3_5_vision",
|
| 146 |
+
"num_heads": 16,
|
| 147 |
+
"num_position_embeddings": 2304,
|
| 148 |
+
"out_hidden_size": 2048,
|
| 149 |
+
"patch_size": 16,
|
| 150 |
+
"rope_parameters": {
|
| 151 |
+
"rope_theta": 10000.0,
|
| 152 |
+
"rope_type": "axial"
|
| 153 |
+
},
|
| 154 |
+
"spatial_merge_size": 2,
|
| 155 |
+
"temporal_patch_size": 2
|
| 156 |
+
},
|
| 157 |
+
"vision_end_token_id": 248054,
|
| 158 |
+
"vision_start_token_id": 248053
|
| 159 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"eos_token_id": [
|
| 4 |
+
248046,
|
| 5 |
+
248044
|
| 6 |
+
],
|
| 7 |
+
"pad_token_id": 248044,
|
| 8 |
+
"transformers_version": "5.17.0",
|
| 9 |
+
"use_cache": true
|
| 10 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a1ed47cd14dbb2c4f97016a9d96b3b0f00456c0ff24264de1cf7a7867922c8a3
|
| 3 |
+
size 2392144824
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,528 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
|
|
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|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
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|
|
|
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|
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|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
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|
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|
|
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|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"size": {
|
| 3 |
+
"longest_edge": 16777216,
|
| 4 |
+
"shortest_edge": 65536
|
| 5 |
+
},
|
| 6 |
+
"patch_size": 16,
|
| 7 |
+
"temporal_patch_size": 2,
|
| 8 |
+
"merge_size": 2,
|
| 9 |
+
"image_mean": [
|
| 10 |
+
0.5,
|
| 11 |
+
0.5,
|
| 12 |
+
0.5
|
| 13 |
+
],
|
| 14 |
+
"image_std": [
|
| 15 |
+
0.5,
|
| 16 |
+
0.5,
|
| 17 |
+
0.5
|
| 18 |
+
],
|
| 19 |
+
"processor_class": "Qwen3VLProcessor",
|
| 20 |
+
"image_processor_type": "Qwen2VLImageProcessorFast"
|
| 21 |
+
}
|
recipe.yaml
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
default_stage:
|
| 2 |
+
default_modifiers:
|
| 3 |
+
QuantizationModifier:
|
| 4 |
+
targets: [Linear]
|
| 5 |
+
ignore: [lm_head, 're:.*visual.*', 're:.*mtp.*']
|
| 6 |
+
scheme: FP8_DYNAMIC
|
| 7 |
+
bypass_divisibility_checks: false
|
| 8 |
+
requires_calibration_data: false
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
|
| 3 |
+
size 19989325
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"audio_bos_token": "<|audio_start|>",
|
| 4 |
+
"audio_eos_token": "<|audio_end|>",
|
| 5 |
+
"audio_token": "<|audio_pad|>",
|
| 6 |
+
"backend": "tokenizers",
|
| 7 |
+
"bos_token": null,
|
| 8 |
+
"clean_up_tokenization_spaces": false,
|
| 9 |
+
"eos_token": "<|im_end|>",
|
| 10 |
+
"errors": "replace",
|
| 11 |
+
"image_token": "<|image_pad|>",
|
| 12 |
+
"is_local": true,
|
| 13 |
+
"local_files_only": false,
|
| 14 |
+
"model_max_length": 262144,
|
| 15 |
+
"model_specific_special_tokens": {
|
| 16 |
+
"audio_bos_token": "<|audio_start|>",
|
| 17 |
+
"audio_eos_token": "<|audio_end|>",
|
| 18 |
+
"audio_token": "<|audio_pad|>",
|
| 19 |
+
"image_token": "<|image_pad|>",
|
| 20 |
+
"video_token": "<|video_pad|>",
|
| 21 |
+
"vision_bos_token": "<|vision_start|>",
|
| 22 |
+
"vision_eos_token": "<|vision_end|>"
|
| 23 |
+
},
|
| 24 |
+
"pad_token": "<|endoftext|>",
|
| 25 |
+
"pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
|
| 26 |
+
"processor_class": "Qwen3VLProcessor",
|
| 27 |
+
"split_special_tokens": false,
|
| 28 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 29 |
+
"unk_token": null,
|
| 30 |
+
"video_token": "<|video_pad|>",
|
| 31 |
+
"vision_bos_token": "<|vision_start|>",
|
| 32 |
+
"vision_eos_token": "<|vision_end|>"
|
| 33 |
+
}
|
video_preprocessor_config.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"size": {
|
| 3 |
+
"longest_edge": 25165824,
|
| 4 |
+
"shortest_edge": 4096
|
| 5 |
+
},
|
| 6 |
+
"patch_size": 16,
|
| 7 |
+
"temporal_patch_size": 2,
|
| 8 |
+
"merge_size": 2,
|
| 9 |
+
"image_mean": [
|
| 10 |
+
0.5,
|
| 11 |
+
0.5,
|
| 12 |
+
0.5
|
| 13 |
+
],
|
| 14 |
+
"image_std": [
|
| 15 |
+
0.5,
|
| 16 |
+
0.5,
|
| 17 |
+
0.5
|
| 18 |
+
],
|
| 19 |
+
"processor_class": "Qwen3VLProcessor",
|
| 20 |
+
"video_processor_type": "Qwen3VLVideoProcessor"
|
| 21 |
+
}
|
vocab.json
ADDED
|
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|
|
|