Add files using upload-large-folder tool
Browse files- .gitattributes +1 -0
- README.md +30 -0
- chat_template.jinja +150 -0
- config.json +2705 -0
- generation_config.json +13 -0
- model-00001-of-00008.safetensors +3 -0
- model-00002-of-00008.safetensors +3 -0
- model-00003-of-00008.safetensors +3 -0
- model-00004-of-00008.safetensors +3 -0
- model-00005-of-00008.safetensors +3 -0
- model-00006-of-00008.safetensors +3 -0
- model-00007-of-00008.safetensors +3 -0
- model-00008-of-00008.safetensors +3 -0
- model.safetensors.index.json +0 -0
- preprocessor_config.json +21 -0
- processor_config.json +60 -0
- tokenizer.json +3 -0
- tokenizer_config.json +33 -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
ADDED
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@@ -0,0 +1,30 @@
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---
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language: en
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license: mit
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pipeline_tag: text-generation
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tags:
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- mlx
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library_name: mlx
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base_model: deepreinforce-ai/Ornith-1.0-35B
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---
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This model was converted to MLX format and quantized from [Ornith-1.0-35B](https://huggingface.co/deepreinforce-ai/Ornith-1.0-35B) using [oMLX](https://github.com/jundot/omlx).
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>[!CAUTION]
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>The conversion required to stack expert MLP weights into fused per-layer tensors. Treat this as an experiment and act accordingly.
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## What is "oQ"?
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See ["oQ: oMLX Universal Dynamic Quantization"](https://github.com/jundot/omlx/blob/main/docs/oQ_Quantization.md) for details.
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## What is "VL"?
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"VL" is Vision-Language, meaning quantization preserves the original model's multimodality.
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No "VL" means quantization is Text-Only.
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## What is "FP16"?
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"FP16" is an M1/M2 Apple Silicon tweak that delivers a very noticeable prompt processing boost, because older M-series lack native BF16 hardware support. See ["Metal FP32 Vs BF16 Vs FP16 benchmark"](https://github.com/deepsweet/metal-fp32-bf16-fp16) for details.
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No "FP16" means quantization is better suited for M3+ Apple Silicon.
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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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| 71 |
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{%- set content = render_content(message.content, false)|trim %}
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| 72 |
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{%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
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| 73 |
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{%- set ns.multi_step_tool = false %}
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{%- set ns.last_query_index = index %}
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| 75 |
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{%- endif %}
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{%- endif %}
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| 77 |
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{%- endfor %}
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| 78 |
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{%- if ns.multi_step_tool %}
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| 79 |
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{{- raise_exception('No user query found in messages.') }}
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| 80 |
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{%- endif %}
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| 81 |
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{%- for message in messages %}
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| 82 |
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{%- set content = render_content(message.content, true)|trim %}
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| 83 |
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{%- if message.role == "system" %}
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| 84 |
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{%- if not loop.first %}
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| 85 |
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{{- raise_exception('System message must be at the beginning.') }}
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| 86 |
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{%- endif %}
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| 87 |
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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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| 89 |
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{%- elif message.role == "assistant" %}
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| 90 |
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{%- set reasoning_content = '' %}
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| 91 |
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{%- if message.reasoning_content is string %}
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| 92 |
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{%- set reasoning_content = message.reasoning_content %}
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| 93 |
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{%- else %}
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| 94 |
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{%- if '</think>' in content %}
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| 95 |
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{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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| 96 |
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{%- set content = content.split('</think>')[-1].lstrip('\n') %}
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| 97 |
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{%- endif %}
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| 98 |
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{%- endif %}
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| 99 |
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{%- set reasoning_content = reasoning_content|trim %}
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| 100 |
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
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| 101 |
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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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| 102 |
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{%- for tool_call in message.tool_calls %}
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| 103 |
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{%- if tool_call.function is defined %}
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| 104 |
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{%- set tool_call = tool_call.function %}
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| 105 |
+
{%- endif %}
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| 106 |
+
{%- if loop.first %}
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| 107 |
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{%- if content|trim %}
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| 108 |
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{{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
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| 109 |
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{%- else %}
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| 110 |
+
{{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
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| 111 |
+
{%- endif %}
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| 112 |
+
{%- else %}
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| 113 |
+
{{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
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| 114 |
+
{%- endif %}
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| 115 |
+
{%- if tool_call.arguments is defined %}
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| 116 |
+
{%- for args_name, args_value in tool_call.arguments|items %}
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| 117 |
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{{- '<parameter=' + args_name + '>\n' }}
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| 118 |
+
{%- set args_value = args_value | string if args_value is string else args_value | tojson | safe %}
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| 119 |
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{{- args_value }}
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| 120 |
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{{- '\n</parameter>\n' }}
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| 121 |
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{%- endfor %}
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| 122 |
+
{%- endif %}
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| 123 |
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{{- '</function>\n</tool_call>' }}
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| 124 |
+
{%- endfor %}
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| 125 |
+
{%- endif %}
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| 126 |
+
{{- '<|im_end|>\n' }}
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| 127 |
+
{%- elif message.role == "tool" %}
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| 128 |
+
{%- if loop.previtem and loop.previtem.role != "tool" %}
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| 129 |
+
{{- '<|im_start|>user' }}
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| 130 |
+
{%- endif %}
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| 131 |
+
{{- '\n<tool_response>\n' }}
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| 132 |
+
{{- content }}
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| 133 |
+
{{- '\n</tool_response>' }}
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| 134 |
+
{%- if not loop.last and loop.nextitem.role != "tool" %}
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| 135 |
+
{{- '<|im_end|>\n' }}
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| 136 |
+
{%- elif loop.last %}
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| 137 |
+
{{- '<|im_end|>\n' }}
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| 138 |
+
{%- endif %}
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| 139 |
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{%- else %}
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| 140 |
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{{- raise_exception('Unexpected message role.') }}
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| 141 |
+
{%- endif %}
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| 142 |
+
{%- endfor %}
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| 143 |
+
{%- if add_generation_prompt %}
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| 144 |
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{{- '<|im_start|>assistant\n' }}
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| 145 |
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{%- if enable_thinking is defined and enable_thinking is false %}
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| 146 |
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{{- '<think>\n\n</think>\n\n' }}
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| 147 |
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{%- else %}
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| 148 |
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{{- '<think>\n' }}
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| 149 |
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{%- endif %}
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| 150 |
+
{%- endif %}
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config.json
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|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5MoeForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"bos_token_id": null,
|
| 6 |
+
"dtype": "float16",
|
| 7 |
+
"eos_token_id": 248046,
|
| 8 |
+
"hidden_size": 2048,
|
| 9 |
+
"model_type": "qwen3_5_moe",
|
| 10 |
+
"pad_token_id": 248044,
|
| 11 |
+
"text_config": {
|
| 12 |
+
"attention_bias": false,
|
| 13 |
+
"attention_dropout": 0.0,
|
| 14 |
+
"attn_output_gate": true,
|
| 15 |
+
"bos_token_id": 248044,
|
| 16 |
+
"dtype": "float16",
|
| 17 |
+
"eos_token_id": 248044,
|
| 18 |
+
"full_attention_interval": 4,
|
| 19 |
+
"head_dim": 256,
|
| 20 |
+
"hidden_act": "silu",
|
| 21 |
+
"hidden_size": 2048,
|
| 22 |
+
"initializer_range": 0.02,
|
| 23 |
+
"layer_types": [
|
| 24 |
+
"linear_attention",
|
| 25 |
+
"linear_attention",
|
| 26 |
+
"linear_attention",
|
| 27 |
+
"full_attention",
|
| 28 |
+
"linear_attention",
|
| 29 |
+
"linear_attention",
|
| 30 |
+
"linear_attention",
|
| 31 |
+
"full_attention",
|
| 32 |
+
"linear_attention",
|
| 33 |
+
"linear_attention",
|
| 34 |
+
"linear_attention",
|
| 35 |
+
"full_attention",
|
| 36 |
+
"linear_attention",
|
| 37 |
+
"linear_attention",
|
| 38 |
+
"linear_attention",
|
| 39 |
+
"full_attention",
|
| 40 |
+
"linear_attention",
|
| 41 |
+
"linear_attention",
|
| 42 |
+
"linear_attention",
|
| 43 |
+
"full_attention",
|
| 44 |
+
"linear_attention",
|
| 45 |
+
"linear_attention",
|
| 46 |
+
"linear_attention",
|
| 47 |
+
"full_attention",
|
| 48 |
+
"linear_attention",
|
| 49 |
+
"linear_attention",
|
| 50 |
+
"linear_attention",
|
| 51 |
+
"full_attention",
|
| 52 |
+
"linear_attention",
|
| 53 |
+
"linear_attention",
|
| 54 |
+
"linear_attention",
|
| 55 |
+
"full_attention",
|
| 56 |
+
"linear_attention",
|
| 57 |
+
"linear_attention",
|
| 58 |
+
"linear_attention",
|
| 59 |
+
"full_attention",
|
| 60 |
+
"linear_attention",
|
| 61 |
+
"linear_attention",
|
| 62 |
+
"linear_attention",
|
| 63 |
+
"full_attention"
|
| 64 |
+
],
|
| 65 |
+
"linear_conv_kernel_dim": 4,
|
| 66 |
+
"linear_key_head_dim": 128,
|
| 67 |
+
"linear_num_key_heads": 16,
|
| 68 |
+
"linear_num_value_heads": 32,
|
| 69 |
+
"linear_value_head_dim": 128,
|
| 70 |
+
"mamba_ssm_dtype": "float32",
|
| 71 |
+
"max_position_embeddings": 262144,
|
| 72 |
+
"model_type": "qwen3_5_moe_text",
|
| 73 |
+
"moe_intermediate_size": 512,
|
| 74 |
+
"mtp_num_hidden_layers": 0,
|
| 75 |
+
"mtp_use_dedicated_embeddings": false,
|
| 76 |
+
"num_attention_heads": 16,
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|
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|
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generation_config.json
ADDED
|
@@ -0,0 +1,13 @@
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|
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|
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model-00001-of-00008.safetensors
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model.safetensors.index.json
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preprocessor_config.json
ADDED
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@@ -0,0 +1,21 @@
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|
| 20 |
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"image_processor_type": "Qwen2VLImageProcessorFast"
|
| 21 |
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processor_config.json
ADDED
|
@@ -0,0 +1,60 @@
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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| 6 |
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|
| 7 |
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"image_mean": [
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|
| 13 |
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|
| 17 |
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| 18 |
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|
| 19 |
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|
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|
| 21 |
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|
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| 25 |
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| 26 |
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|
| 27 |
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},
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| 28 |
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"processor_class": "Qwen3VLProcessor",
|
| 29 |
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"video_processor": {
|
| 30 |
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"do_convert_rgb": true,
|
| 31 |
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"do_normalize": true,
|
| 32 |
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"do_rescale": true,
|
| 33 |
+
"do_resize": true,
|
| 34 |
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"do_sample_frames": true,
|
| 35 |
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"fps": 2,
|
| 36 |
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"image_mean": [
|
| 37 |
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0.5,
|
| 38 |
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0.5,
|
| 39 |
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0.5
|
| 40 |
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],
|
| 41 |
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"image_std": [
|
| 42 |
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0.5,
|
| 43 |
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0.5,
|
| 44 |
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0.5
|
| 45 |
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],
|
| 46 |
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"max_frames": 768,
|
| 47 |
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"merge_size": 2,
|
| 48 |
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"min_frames": 4,
|
| 49 |
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"patch_size": 16,
|
| 50 |
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|
| 51 |
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"rescale_factor": 0.00392156862745098,
|
| 52 |
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"return_metadata": false,
|
| 53 |
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"size": {
|
| 54 |
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|
| 55 |
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|
| 56 |
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},
|
| 57 |
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|
| 58 |
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"video_processor_type": "Qwen3VLVideoProcessor"
|
| 59 |
+
}
|
| 60 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
|
| 3 |
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size 19989325
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tokenizer_config.json
ADDED
|
@@ -0,0 +1,33 @@
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|
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|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
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"clean_up_tokenization_spaces": false,
|
| 9 |
+
"eos_token": "<|im_end|>",
|
| 10 |
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"errors": "replace",
|
| 11 |
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"image_token": "<|image_pad|>",
|
| 12 |
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"is_local": true,
|
| 13 |
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"local_files_only": false,
|
| 14 |
+
"model_max_length": 262144,
|
| 15 |
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"model_specific_special_tokens": {
|
| 16 |
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"audio_bos_token": "<|audio_start|>",
|
| 17 |
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"audio_eos_token": "<|audio_end|>",
|
| 18 |
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"audio_token": "<|audio_pad|>",
|
| 19 |
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"image_token": "<|image_pad|>",
|
| 20 |
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"video_token": "<|video_pad|>",
|
| 21 |
+
"vision_bos_token": "<|vision_start|>",
|
| 22 |
+
"vision_eos_token": "<|vision_end|>"
|
| 23 |
+
},
|
| 24 |
+
"pad_token": "<|endoftext|>",
|
| 25 |
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"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 |
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"unk_token": null,
|
| 30 |
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"video_token": "<|video_pad|>",
|
| 31 |
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"vision_bos_token": "<|vision_start|>",
|
| 32 |
+
"vision_eos_token": "<|vision_end|>"
|
| 33 |
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}
|
vocab.json
ADDED
|
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|
|
|