Add MLX 2-bit quantized model
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- .gitattributes +1 -0
- README.md +95 -0
- chat_template.jinja +154 -0
- config.json +149 -0
- generation_config.json +13 -0
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.gitattributes
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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 +1,95 @@
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---
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base_model: Qwen/Qwen3.5-397B-A17B
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library_name: mlx
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license: apache-2.0
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pipeline_tag: image-text-to-text
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tags:
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- rotorquant
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- mlx
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- apple-silicon
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- weight-quantization
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- 2-bit
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- extreme-quantization
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- qwen3.5
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- qwen
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- moe
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- sparse-moe
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- multimodal
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- image-text-to-text
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- quantized
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- long-context
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language:
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- en
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- zh
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- multilingual
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---
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# Qwen3.5-397B-A17B-RotorQuant-MLX-2bit
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**2-bit MLX weight-quantized** build of **Qwen/Qwen3.5-397B-A17B** (397B total / 17B active Sparse MoE, multimodal) — **re-quantized from the 4-bit RotorQuant MLX checkpoint** for maximum compression. Optimized for Apple Silicon via [MLX](https://github.com/ml-explore/mlx).
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An **experimental extreme-compression** variant: the learned rotors from RotorQuant's calibration pass help preserve weight structure significantly better than static rotations at this bit-width. It is the highest-quality 2-bit build of Qwen3.5-397B-A17B in the Majentik suite.
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## Quickstart
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```python
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from mlx_lm import load, generate
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model, tokenizer = load("majentik/Qwen3.5-397B-A17B-RotorQuant-MLX-2bit")
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prompt = tokenizer.apply_chat_template(
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[{"role": "user", "content": "Describe what a 2-bit weight means in one sentence."}],
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add_generation_prompt=True,
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)
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print(generate(model, tokenizer, prompt=prompt, max_tokens=128, verbose=True))
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```
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## Model Specs
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| Property | Value |
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| ---------------------- | ------------------------------------------------ |
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| Base model | Qwen/Qwen3.5-397B-A17B |
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| Architecture | Sparse Mixture-of-Experts (MoE) |
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| Total parameters | 397B |
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| Active per token | 17B |
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| Modalities | Image + Text → Text (`image-text-to-text`) |
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| Context window | 256K tokens |
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| Weight quantization | 2-bit MLX (re-quantized from 4-bit RotorQuant) |
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| Approx. disk footprint | ~135 GB |
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| License | Apache 2.0 |
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## RotorQuant vs TurboQuant
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| Aspect | RotorQuant (this repo) | TurboQuant |
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| ------------------- | ------------------------------------------------ | ------------------------------------------- |
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| Rotation | Learned orthogonal rotors (data-calibrated) | Randomized Hadamard (static) |
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| Calibration | ~512 sample calibration pass | Zero-shot |
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| Accuracy @ 2-bit | ~95–97% of FP16 baseline (task-dependent) | ~93–95% of FP16 baseline (task-dependent) |
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| Best for | Squeezing the model in with the best quality | Squeezing the model into small VRAM |
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## Memory Estimates (2-bit MLX)
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| Context | Active memory (approx.) |
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| ------- | ----------------------- |
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| 8K | ~143 GB |
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| 32K | ~153 GB |
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| 128K | ~183 GB |
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| 256K | ~213 GB |
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## Hardware Requirements
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- **Minimum**: Apple Silicon with **192 GB unified memory** for short/medium contexts
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- **Recommended**: **256 GB+** unified memory for full 256K context
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- Fits on top-end Mac Studio M-series configurations; **does not** fit on 96 GB or 128 GB Macs
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## Caveats
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- Re-quantized from the 4-bit RotorQuant MLX checkpoint (not directly from FP16)
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- Still the preferred 2-bit option — learned rotors meaningfully outperform Hadamard rotations at extreme bit-widths
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- For production use, prefer the 4-bit or higher variants when your hardware allows
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## See Also
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- RotorQuant MLX: [8-bit](https://huggingface.co/majentik/Qwen3.5-397B-A17B-RotorQuant-MLX-8bit) · [6-bit](https://huggingface.co/majentik/Qwen3.5-397B-A17B-RotorQuant-MLX-6bit) · [5-bit](https://huggingface.co/majentik/Qwen3.5-397B-A17B-RotorQuant-MLX-5bit) · [4-bit](https://huggingface.co/majentik/Qwen3.5-397B-A17B-RotorQuant-MLX-4bit)
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- TurboQuant MLX 2-bit: [majentik/Qwen3.5-397B-A17B-TurboQuant-MLX-2bit](https://huggingface.co/majentik/Qwen3.5-397B-A17B-TurboQuant-MLX-2bit)
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- Base model: [Qwen/Qwen3.5-397B-A17B](https://huggingface.co/Qwen/Qwen3.5-397B-A17B)
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chat_template.jinja
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@@ -0,0 +1,154 @@
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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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{%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
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{%- if is_system_content %}
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{{- raise_exception('System message cannot contain images.') }}
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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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{%- elif 'video' in item or item.type == 'video' %}
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{%- if is_system_content %}
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{{- raise_exception('System message cannot contain videos.') }}
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{%- endif %}
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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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{%- if add_vision_id %}
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{{- 'Video ' ~ video_count.value ~ ': ' }}
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{%- endif %}
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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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{%- else %}
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{{- raise_exception('Unexpected item type in content.') }}
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{%- endif %}
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{%- endfor %}
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{%- elif content is none or content is undefined %}
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{{- '' }}
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{%- else %}
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{{- raise_exception('Unexpected content type.') }}
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{%- endif %}
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{%- endmacro %}
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{%- if not messages %}
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{{- raise_exception('No messages provided.') }}
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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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{{- tool | tojson }}
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{%- endfor %}
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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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{%- set content = render_content(messages[0].content, false, true)|trim %}
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{%- if content %}
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{{- '\n\n' + content }}
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{%- endif %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{%- set content = render_content(messages[0].content, false, true)|trim %}
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{{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- for message in messages[::-1] %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- if ns.multi_step_tool and message.role == "user" %}
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{%- set content = render_content(message.content, false)|trim %}
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{%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
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{%- set ns.multi_step_tool = false %}
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{%- set ns.last_query_index = index %}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if ns.multi_step_tool %}
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{{- raise_exception('No user query found in messages.') }}
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{%- endif %}
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{%- for message in messages %}
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{%- set content = render_content(message.content, true)|trim %}
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{%- if message.role == "system" %}
|
| 84 |
+
{%- if not loop.first %}
|
| 85 |
+
{{- raise_exception('System message must be at the beginning.') }}
|
| 86 |
+
{%- endif %}
|
| 87 |
+
{%- elif message.role == "user" %}
|
| 88 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 89 |
+
{%- elif message.role == "assistant" %}
|
| 90 |
+
{%- set reasoning_content = '' %}
|
| 91 |
+
{%- if message.reasoning_content is string %}
|
| 92 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 93 |
+
{%- else %}
|
| 94 |
+
{%- if '</think>' in content %}
|
| 95 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 96 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 97 |
+
{%- endif %}
|
| 98 |
+
{%- endif %}
|
| 99 |
+
{%- set reasoning_content = reasoning_content|trim %}
|
| 100 |
+
{%- if loop.index0 > ns.last_query_index %}
|
| 101 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
|
| 102 |
+
{%- else %}
|
| 103 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 104 |
+
{%- endif %}
|
| 105 |
+
{%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
|
| 106 |
+
{%- for tool_call in message.tool_calls %}
|
| 107 |
+
{%- if tool_call.function is defined %}
|
| 108 |
+
{%- set tool_call = tool_call.function %}
|
| 109 |
+
{%- endif %}
|
| 110 |
+
{%- if loop.first %}
|
| 111 |
+
{%- if content|trim %}
|
| 112 |
+
{{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 113 |
+
{%- else %}
|
| 114 |
+
{{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 115 |
+
{%- endif %}
|
| 116 |
+
{%- else %}
|
| 117 |
+
{{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 118 |
+
{%- endif %}
|
| 119 |
+
{%- if tool_call.arguments is defined %}
|
| 120 |
+
{%- for args_name, args_value in tool_call.arguments|items %}
|
| 121 |
+
{{- '<parameter=' + args_name + '>\n' }}
|
| 122 |
+
{%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
|
| 123 |
+
{{- args_value }}
|
| 124 |
+
{{- '\n</parameter>\n' }}
|
| 125 |
+
{%- endfor %}
|
| 126 |
+
{%- endif %}
|
| 127 |
+
{{- '</function>\n</tool_call>' }}
|
| 128 |
+
{%- endfor %}
|
| 129 |
+
{%- endif %}
|
| 130 |
+
{{- '<|im_end|>\n' }}
|
| 131 |
+
{%- elif message.role == "tool" %}
|
| 132 |
+
{%- if loop.previtem and loop.previtem.role != "tool" %}
|
| 133 |
+
{{- '<|im_start|>user' }}
|
| 134 |
+
{%- endif %}
|
| 135 |
+
{{- '\n<tool_response>\n' }}
|
| 136 |
+
{{- content }}
|
| 137 |
+
{{- '\n</tool_response>' }}
|
| 138 |
+
{%- if not loop.last and loop.nextitem.role != "tool" %}
|
| 139 |
+
{{- '<|im_end|>\n' }}
|
| 140 |
+
{%- elif loop.last %}
|
| 141 |
+
{{- '<|im_end|>\n' }}
|
| 142 |
+
{%- endif %}
|
| 143 |
+
{%- else %}
|
| 144 |
+
{{- raise_exception('Unexpected message role.') }}
|
| 145 |
+
{%- endif %}
|
| 146 |
+
{%- endfor %}
|
| 147 |
+
{%- if add_generation_prompt %}
|
| 148 |
+
{{- '<|im_start|>assistant\n' }}
|
| 149 |
+
{%- if enable_thinking is defined and enable_thinking is false %}
|
| 150 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 151 |
+
{%- else %}
|
| 152 |
+
{{- '<think>\n' }}
|
| 153 |
+
{%- endif %}
|
| 154 |
+
{%- endif %}
|
config.json
ADDED
|
@@ -0,0 +1,149 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5MoeForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"eos_token_id": [
|
| 6 |
+
248046,
|
| 7 |
+
248044
|
| 8 |
+
],
|
| 9 |
+
"image_token_id": 248056,
|
| 10 |
+
"model_type": "qwen3_5_moe",
|
| 11 |
+
"quantization": {
|
| 12 |
+
"bits": 2,
|
| 13 |
+
"group_size": 64,
|
| 14 |
+
"mode": "affine"
|
| 15 |
+
},
|
| 16 |
+
"quantization_config": {
|
| 17 |
+
"bits": 2,
|
| 18 |
+
"group_size": 64,
|
| 19 |
+
"mode": "affine"
|
| 20 |
+
},
|
| 21 |
+
"text_config": {
|
| 22 |
+
"attention_bias": false,
|
| 23 |
+
"attention_dropout": 0.0,
|
| 24 |
+
"attn_output_gate": true,
|
| 25 |
+
"dtype": "bfloat16",
|
| 26 |
+
"eos_token_id": 248044,
|
| 27 |
+
"full_attention_interval": 4,
|
| 28 |
+
"head_dim": 256,
|
| 29 |
+
"hidden_act": "silu",
|
| 30 |
+
"hidden_size": 4096,
|
| 31 |
+
"initializer_range": 0.02,
|
| 32 |
+
"layer_types": [
|
| 33 |
+
"linear_attention",
|
| 34 |
+
"linear_attention",
|
| 35 |
+
"linear_attention",
|
| 36 |
+
"full_attention",
|
| 37 |
+
"linear_attention",
|
| 38 |
+
"linear_attention",
|
| 39 |
+
"linear_attention",
|
| 40 |
+
"full_attention",
|
| 41 |
+
"linear_attention",
|
| 42 |
+
"linear_attention",
|
| 43 |
+
"linear_attention",
|
| 44 |
+
"full_attention",
|
| 45 |
+
"linear_attention",
|
| 46 |
+
"linear_attention",
|
| 47 |
+
"linear_attention",
|
| 48 |
+
"full_attention",
|
| 49 |
+
"linear_attention",
|
| 50 |
+
"linear_attention",
|
| 51 |
+
"linear_attention",
|
| 52 |
+
"full_attention",
|
| 53 |
+
"linear_attention",
|
| 54 |
+
"linear_attention",
|
| 55 |
+
"linear_attention",
|
| 56 |
+
"full_attention",
|
| 57 |
+
"linear_attention",
|
| 58 |
+
"linear_attention",
|
| 59 |
+
"linear_attention",
|
| 60 |
+
"full_attention",
|
| 61 |
+
"linear_attention",
|
| 62 |
+
"linear_attention",
|
| 63 |
+
"linear_attention",
|
| 64 |
+
"full_attention",
|
| 65 |
+
"linear_attention",
|
| 66 |
+
"linear_attention",
|
| 67 |
+
"linear_attention",
|
| 68 |
+
"full_attention",
|
| 69 |
+
"linear_attention",
|
| 70 |
+
"linear_attention",
|
| 71 |
+
"linear_attention",
|
| 72 |
+
"full_attention",
|
| 73 |
+
"linear_attention",
|
| 74 |
+
"linear_attention",
|
| 75 |
+
"linear_attention",
|
| 76 |
+
"full_attention",
|
| 77 |
+
"linear_attention",
|
| 78 |
+
"linear_attention",
|
| 79 |
+
"linear_attention",
|
| 80 |
+
"full_attention",
|
| 81 |
+
"linear_attention",
|
| 82 |
+
"linear_attention",
|
| 83 |
+
"linear_attention",
|
| 84 |
+
"full_attention",
|
| 85 |
+
"linear_attention",
|
| 86 |
+
"linear_attention",
|
| 87 |
+
"linear_attention",
|
| 88 |
+
"full_attention",
|
| 89 |
+
"linear_attention",
|
| 90 |
+
"linear_attention",
|
| 91 |
+
"linear_attention",
|
| 92 |
+
"full_attention"
|
| 93 |
+
],
|
| 94 |
+
"linear_conv_kernel_dim": 4,
|
| 95 |
+
"linear_key_head_dim": 128,
|
| 96 |
+
"linear_num_key_heads": 16,
|
| 97 |
+
"linear_num_value_heads": 64,
|
| 98 |
+
"linear_value_head_dim": 128,
|
| 99 |
+
"max_position_embeddings": 262144,
|
| 100 |
+
"mlp_only_layers": [],
|
| 101 |
+
"model_type": "qwen3_5_moe_text",
|
| 102 |
+
"moe_intermediate_size": 1024,
|
| 103 |
+
"mtp_num_hidden_layers": 1,
|
| 104 |
+
"mtp_use_dedicated_embeddings": false,
|
| 105 |
+
"num_attention_heads": 32,
|
| 106 |
+
"num_experts": 512,
|
| 107 |
+
"num_experts_per_tok": 10,
|
| 108 |
+
"num_hidden_layers": 60,
|
| 109 |
+
"num_key_value_heads": 2,
|
| 110 |
+
"rms_norm_eps": 1e-06,
|
| 111 |
+
"router_aux_loss_coef": 0.001,
|
| 112 |
+
"shared_expert_intermediate_size": 1024,
|
| 113 |
+
"use_cache": true,
|
| 114 |
+
"vocab_size": 248320,
|
| 115 |
+
"mamba_ssm_dtype": "float32",
|
| 116 |
+
"rope_parameters": {
|
| 117 |
+
"mrope_interleaved": true,
|
| 118 |
+
"mrope_section": [
|
| 119 |
+
11,
|
| 120 |
+
11,
|
| 121 |
+
10
|
| 122 |
+
],
|
| 123 |
+
"rope_type": "default",
|
| 124 |
+
"rope_theta": 10000000,
|
| 125 |
+
"partial_rotary_factor": 0.25
|
| 126 |
+
}
|
| 127 |
+
},
|
| 128 |
+
"tie_word_embeddings": false,
|
| 129 |
+
"transformers_version": "4.57.0.dev0",
|
| 130 |
+
"video_token_id": 248057,
|
| 131 |
+
"vision_config": {
|
| 132 |
+
"deepstack_visual_indexes": [],
|
| 133 |
+
"depth": 27,
|
| 134 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 135 |
+
"hidden_size": 1152,
|
| 136 |
+
"in_channels": 3,
|
| 137 |
+
"initializer_range": 0.02,
|
| 138 |
+
"intermediate_size": 4304,
|
| 139 |
+
"model_type": "qwen3_5_moe",
|
| 140 |
+
"num_heads": 16,
|
| 141 |
+
"num_position_embeddings": 2304,
|
| 142 |
+
"out_hidden_size": 4096,
|
| 143 |
+
"patch_size": 16,
|
| 144 |
+
"spatial_merge_size": 2,
|
| 145 |
+
"temporal_patch_size": 2
|
| 146 |
+
},
|
| 147 |
+
"vision_end_token_id": 248054,
|
| 148 |
+
"vision_start_token_id": 248053
|
| 149 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 248044,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": [
|
| 5 |
+
248046,
|
| 6 |
+
248044
|
| 7 |
+
],
|
| 8 |
+
"pad_token_id": 248044,
|
| 9 |
+
"temperature": 0.6,
|
| 10 |
+
"top_k": 20,
|
| 11 |
+
"top_p": 0.95,
|
| 12 |
+
"transformers_version": "4.57.0.dev0"
|
| 13 |
+
}
|
model-00001-of-00046.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:245b82000aac5dd6b6a1ff435e89d2523318ddcf297d5f8b243e392e914d63ce
|
| 3 |
+
size 3322386345
|
model-00002-of-00046.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5771c06d1cf935fbbd77a158b7d4143ee0b8491cf545c2db309c3dee68f7b8fd
|
| 3 |
+
size 2725929128
|
model-00003-of-00046.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:08c4c225bdc37ee887c9d5c973bfec0bdfb253508009c8e60755c373a436bc9c
|
| 3 |
+
size 2721734503
|
model-00004-of-00046.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6235a7a5c4eaebe71884a870bc17daf3c853cc7599efc2379fca824781ed0908
|
| 3 |
+
size 2767502054
|
model-00005-of-00046.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4b26232775bfd26100150f6b7f3cc3bdc3d833736f77aebc18ba7564dd878008
|
| 3 |
+
size 2725929132
|
model-00006-of-00046.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5c1d0f27defc4580e2b755fcc972c50d53d88c779694bc5998bf4030f4cc8323
|
| 3 |
+
size 2721734531
|
model-00007-of-00046.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c455143ee79e3e912e1c1c1a7f70ef6bf56da42fd1135d4a4d1c25ea8ff5f7f5
|
| 3 |
+
size 2767502054
|
model-00008-of-00046.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c12e4592853e8e6719391903edc8e9868d4a292f6ae629e93b2d006ebc0d7607
|
| 3 |
+
size 2725929213
|
model-00009-of-00046.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b76401642283bec953c8d41a390ec952c27277c15ff709f8e7fbcccaca611877
|
| 3 |
+
size 2721734550
|
model-00010-of-00046.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
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