Add local models via Git LFS (23 models, ~143 GB)
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36
chat/mlx/mlx-community/Qwen3.5-4B-MLX-4bit/.gitattributes
vendored
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chat/mlx/mlx-community/Qwen3.5-4B-MLX-4bit/.gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.arrow filter=lfs diff=lfs merge=lfs -text
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*.bin filter=lfs diff=lfs merge=lfs -text
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*.model filter=lfs diff=lfs merge=lfs -text
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*.msgpack filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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75
chat/mlx/mlx-community/Qwen3.5-4B-MLX-4bit/README.md
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75
chat/mlx/mlx-community/Qwen3.5-4B-MLX-4bit/README.md
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---
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base_model: Qwen/Qwen3.5-4B
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library_name: mlx
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tags:
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- mlx
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- qwen3.5
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- vision-language-model
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- quantized
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- 4bit
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license: apache-2.0
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---
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# Qwen3.5-4B-MLX-4bit
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This is a 4-bit quantized MLX version of [Qwen/Qwen3.5-4B](https://huggingface.co/Qwen/Qwen3.5-4B) for Apple Silicon.
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## Model Details
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- **Original Model:** [Qwen/Qwen3.5-4B](https://huggingface.co/Qwen/Qwen3.5-4B)
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- **Quantization:** 4-bit (5.347 bits per weight)
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- **Group Size:** 64
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- **Format:** MLX SafeTensors
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- **Framework:** [mlx-vlm](https://github.com/Blaizzy/mlx-vlm)
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- **Disk Size:** ~2.9G
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## Conversion Details
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This model was converted using `mlx-vlm` from the [`pc/fix-qwen35-predicate`](https://github.com/Blaizzy/mlx-vlm/tree/pc/fix-qwen35-predicate) branch, which includes fixes for Qwen3.5 model support (proper handling of MoE gate layers, `shared_expert_gate`, and `A_log` casting).
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**Conversion command:**
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```bash
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python3 -m mlx_vlm convert \
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--hf-path "Qwen/Qwen3.5-4B" \
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--mlx-path "./Qwen3.5-4B-MLX-4bit" \
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-q --q-bits 4 --q-group-size 64
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```
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## Important Note
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A better, more optimized conversion may be available from **@Prince** ([@Blaizzy](https://huggingface.co/Blaizzy)) in the MLX VLM community. Check the [mlx-community](https://huggingface.co/mlx-community) organization for updated versions as official Qwen3.5 support is merged into the main `mlx-vlm` branch.
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## Related Models
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- **bf16 (full precision):** [mlx-community/Qwen3.5-4B-MLX-bf16](https://huggingface.co/mlx-community/Qwen3.5-4B-MLX-bf16)
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- **8-bit quantized:** [mlx-community/Qwen3.5-4B-MLX-8bit](https://huggingface.co/mlx-community/Qwen3.5-4B-MLX-8bit)
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- **Original:** [Qwen/Qwen3.5-4B](https://huggingface.co/Qwen/Qwen3.5-4B)
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## Usage
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```python
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from mlx_vlm import load, generate
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model, processor = load("mlx-community/Qwen3.5-4B-MLX-4bit")
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output = generate(
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model,
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processor,
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prompt="Describe this image.",
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image="path/to/image.jpg",
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max_tokens=512
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)
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print(output)
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```
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**CLI:**
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```bash
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python3 -m mlx_vlm.generate \
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--model mlx-community/Qwen3.5-4B-MLX-4bit \
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--image path/to/image.jpg \
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--prompt "Describe this image."
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```
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## License
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This model inherits the [Apache 2.0 license](https://huggingface.co/Qwen/Qwen3.5-4B) from the original Qwen model.
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154
chat/mlx/mlx-community/Qwen3.5-4B-MLX-4bit/chat_template.jinja
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154
chat/mlx/mlx-community/Qwen3.5-4B-MLX-4bit/chat_template.jinja
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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" %}
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{%- if not loop.first %}
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{{- raise_exception('System message must be at the beginning.') }}
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{%- endif %}
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{%- elif message.role == "user" %}
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{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is string %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in content %}
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{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- set content = content.split('</think>')[-1].lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- set reasoning_content = reasoning_content|trim %}
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{%- if loop.index0 > ns.last_query_index %}
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
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{%- for tool_call in message.tool_calls %}
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{%- if tool_call.function is defined %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{%- if loop.first %}
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{%- if content|trim %}
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{{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
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{%- else %}
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{{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
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{%- endif %}
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{%- else %}
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{{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
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{%- endif %}
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{%- if tool_call.arguments is defined %}
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{%- for args_name, args_value in tool_call.arguments|items %}
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{{- '<parameter=' + args_name + '>\n' }}
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{%- 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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{{- args_value }}
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{{- '\n</parameter>\n' }}
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{%- endfor %}
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{%- endif %}
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{{- '</function>\n</tool_call>' }}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if loop.previtem and loop.previtem.role != "tool" %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- content }}
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{{- '\n</tool_response>' }}
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{%- if not loop.last and loop.nextitem.role != "tool" %}
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{{- '<|im_end|>\n' }}
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{%- elif loop.last %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- else %}
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{{- raise_exception('Unexpected message role.') }}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- if enable_thinking is defined and enable_thinking is false %}
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{{- '<think>\n\n</think>\n\n' }}
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{%- else %}
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{{- '<think>\n' }}
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{%- endif %}
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{%- endif %}
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114
chat/mlx/mlx-community/Qwen3.5-4B-MLX-4bit/config.json
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chat/mlx/mlx-community/Qwen3.5-4B-MLX-4bit/config.json
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{
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"architectures": [
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"Qwen3_5ForConditionalGeneration"
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],
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"image_token_id": 248056,
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"model_type": "qwen3_5",
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"quantization": {
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"group_size": 64,
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"bits": 4,
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"mode": "affine"
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},
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"quantization_config": {
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"group_size": 64,
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"bits": 4,
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"mode": "affine"
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},
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"text_config": {
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"attention_bias": false,
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"attention_dropout": 0.0,
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"attn_output_gate": true,
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"dtype": "bfloat16",
|
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"eos_token_id": 248044,
|
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"full_attention_interval": 4,
|
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"head_dim": 256,
|
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"hidden_act": "silu",
|
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"hidden_size": 2560,
|
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"initializer_range": 0.02,
|
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"intermediate_size": 9216,
|
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"layer_types": [
|
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"linear_attention",
|
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"linear_attention",
|
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"linear_attention",
|
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"full_attention",
|
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"linear_attention",
|
||||
"linear_attention",
|
||||
"linear_attention",
|
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"full_attention",
|
||||
"linear_attention",
|
||||
"linear_attention",
|
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"linear_attention",
|
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"full_attention",
|
||||
"linear_attention",
|
||||
"linear_attention",
|
||||
"linear_attention",
|
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"full_attention",
|
||||
"linear_attention",
|
||||
"linear_attention",
|
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"linear_attention",
|
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"full_attention",
|
||||
"linear_attention",
|
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"linear_attention",
|
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"linear_attention",
|
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"full_attention",
|
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"linear_attention",
|
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"linear_attention",
|
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"linear_attention",
|
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"full_attention",
|
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"linear_attention",
|
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"linear_attention",
|
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"linear_attention",
|
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"full_attention"
|
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],
|
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"linear_conv_kernel_dim": 4,
|
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"linear_key_head_dim": 128,
|
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"linear_num_key_heads": 16,
|
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"linear_num_value_heads": 32,
|
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"linear_value_head_dim": 128,
|
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"max_position_embeddings": 262144,
|
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"mlp_only_layers": [],
|
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"model_type": "qwen3_5_text",
|
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"mtp_num_hidden_layers": 1,
|
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"mtp_use_dedicated_embeddings": false,
|
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"num_attention_heads": 16,
|
||||
"num_hidden_layers": 32,
|
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"num_key_value_heads": 4,
|
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"rms_norm_eps": 1e-06,
|
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"tie_word_embeddings": true,
|
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"use_cache": true,
|
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"vocab_size": 248320,
|
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"mamba_ssm_dtype": "float32",
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"rope_parameters": {
|
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"mrope_interleaved": true,
|
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"mrope_section": [
|
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11,
|
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11,
|
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10
|
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],
|
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"rope_type": "default",
|
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"rope_theta": 10000000,
|
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"partial_rotary_factor": 0.25
|
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}
|
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},
|
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"tie_word_embeddings": true,
|
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"transformers_version": "4.57.0.dev0",
|
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"video_token_id": 248057,
|
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"vision_config": {
|
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"deepstack_visual_indexes": [],
|
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"depth": 24,
|
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"hidden_act": "gelu_pytorch_tanh",
|
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"hidden_size": 1024,
|
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"in_channels": 3,
|
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"initializer_range": 0.02,
|
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"intermediate_size": 4096,
|
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"model_type": "qwen3_5",
|
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"num_heads": 16,
|
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"num_position_embeddings": 2304,
|
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"out_hidden_size": 2560,
|
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"patch_size": 16,
|
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"spatial_merge_size": 2,
|
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"temporal_patch_size": 2
|
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},
|
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"vision_end_token_id": 248054,
|
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"vision_start_token_id": 248053
|
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}
|
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BIN
chat/mlx/mlx-community/Qwen3.5-4B-MLX-4bit/model.safetensors
(Stored with Git LFS)
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BIN
chat/mlx/mlx-community/Qwen3.5-4B-MLX-4bit/model.safetensors
(Stored with Git LFS)
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|
|
@ -0,0 +1,21 @@
|
|||
{
|
||||
"size": {
|
||||
"longest_edge": 16777216,
|
||||
"shortest_edge": 65536
|
||||
},
|
||||
"patch_size": 16,
|
||||
"temporal_patch_size": 2,
|
||||
"merge_size": 2,
|
||||
"image_mean": [
|
||||
0.5,
|
||||
0.5,
|
||||
0.5
|
||||
],
|
||||
"image_std": [
|
||||
0.5,
|
||||
0.5,
|
||||
0.5
|
||||
],
|
||||
"processor_class": "Qwen3VLProcessor",
|
||||
"image_processor_type": "Qwen2VLImageProcessorFast"
|
||||
}
|
||||
|
|
@ -0,0 +1,63 @@
|
|||
{
|
||||
"image_processor": {
|
||||
"data_format": "channels_first",
|
||||
"do_convert_rgb": true,
|
||||
"do_normalize": true,
|
||||
"do_rescale": true,
|
||||
"do_resize": true,
|
||||
"image_mean": [
|
||||
0.5,
|
||||
0.5,
|
||||
0.5
|
||||
],
|
||||
"image_processor_type": "Qwen2VLImageProcessorFast",
|
||||
"image_std": [
|
||||
0.5,
|
||||
0.5,
|
||||
0.5
|
||||
],
|
||||
"merge_size": 2,
|
||||
"patch_size": 16,
|
||||
"resample": 3,
|
||||
"rescale_factor": 0.00392156862745098,
|
||||
"size": {
|
||||
"longest_edge": 16777216,
|
||||
"shortest_edge": 65536
|
||||
},
|
||||
"temporal_patch_size": 2
|
||||
},
|
||||
"processor_class": "Qwen3VLProcessor",
|
||||
"video_processor": {
|
||||
"data_format": "channels_first",
|
||||
"default_to_square": true,
|
||||
"do_convert_rgb": true,
|
||||
"do_normalize": true,
|
||||
"do_rescale": true,
|
||||
"do_resize": true,
|
||||
"do_sample_frames": true,
|
||||
"fps": 2,
|
||||
"image_mean": [
|
||||
0.5,
|
||||
0.5,
|
||||
0.5
|
||||
],
|
||||
"image_std": [
|
||||
0.5,
|
||||
0.5,
|
||||
0.5
|
||||
],
|
||||
"max_frames": 768,
|
||||
"merge_size": 2,
|
||||
"min_frames": 4,
|
||||
"patch_size": 16,
|
||||
"resample": 3,
|
||||
"rescale_factor": 0.00392156862745098,
|
||||
"return_metadata": false,
|
||||
"size": {
|
||||
"longest_edge": 25165824,
|
||||
"shortest_edge": 4096
|
||||
},
|
||||
"temporal_patch_size": 2,
|
||||
"video_processor_type": "Qwen3VLVideoProcessor"
|
||||
}
|
||||
}
|
||||
BIN
chat/mlx/mlx-community/Qwen3.5-4B-MLX-4bit/tokenizer.json
(Stored with Git LFS)
Normal file
BIN
chat/mlx/mlx-community/Qwen3.5-4B-MLX-4bit/tokenizer.json
(Stored with Git LFS)
Normal file
Binary file not shown.
|
|
@ -0,0 +1,32 @@
|
|||
{
|
||||
"add_prefix_space": false,
|
||||
"audio_bos_token": "<|audio_start|>",
|
||||
"audio_eos_token": "<|audio_end|>",
|
||||
"audio_token": "<|audio_pad|>",
|
||||
"backend": "tokenizers",
|
||||
"bos_token": null,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"image_token": "<|image_pad|>",
|
||||
"is_local": true,
|
||||
"model_max_length": 262144,
|
||||
"model_specific_special_tokens": {
|
||||
"audio_bos_token": "<|audio_start|>",
|
||||
"audio_eos_token": "<|audio_end|>",
|
||||
"audio_token": "<|audio_pad|>",
|
||||
"image_token": "<|image_pad|>",
|
||||
"video_token": "<|video_pad|>",
|
||||
"vision_bos_token": "<|vision_start|>",
|
||||
"vision_eos_token": "<|vision_end|>"
|
||||
},
|
||||
"pad_token": "<|endoftext|>",
|
||||
"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+",
|
||||
"processor_class": "Qwen3VLProcessor",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "TokenizersBackend",
|
||||
"unk_token": null,
|
||||
"video_token": "<|video_pad|>",
|
||||
"vision_bos_token": "<|vision_start|>",
|
||||
"vision_eos_token": "<|vision_end|>"
|
||||
}
|
||||
|
|
@ -0,0 +1,21 @@
|
|||
{
|
||||
"size": {
|
||||
"longest_edge": 25165824,
|
||||
"shortest_edge": 4096
|
||||
},
|
||||
"patch_size": 16,
|
||||
"temporal_patch_size": 2,
|
||||
"merge_size": 2,
|
||||
"image_mean": [
|
||||
0.5,
|
||||
0.5,
|
||||
0.5
|
||||
],
|
||||
"image_std": [
|
||||
0.5,
|
||||
0.5,
|
||||
0.5
|
||||
],
|
||||
"processor_class": "Qwen3VLProcessor",
|
||||
"video_processor_type": "Qwen3VLVideoProcessor"
|
||||
}
|
||||
BIN
chat/mlx/mlx-community/Qwen3.5-4B-MLX-4bit/vocab.json
(Stored with Git LFS)
Normal file
BIN
chat/mlx/mlx-community/Qwen3.5-4B-MLX-4bit/vocab.json
(Stored with Git LFS)
Normal file
Binary file not shown.
Loading…
Add table
Add a link
Reference in a new issue