Text Generation
Transformers
Safetensors
slonik
code
postgresql
software-engineering
reinforcement-learning
Instructions to use dglhf/Slonik with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dglhf/Slonik with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="dglhf/Slonik")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dglhf/Slonik", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use dglhf/Slonik with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "dglhf/Slonik" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "dglhf/Slonik", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/dglhf/Slonik
- SGLang
How to use dglhf/Slonik with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "dglhf/Slonik" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "dglhf/Slonik", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "dglhf/Slonik" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "dglhf/Slonik", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use dglhf/Slonik with Docker Model Runner:
docker model run hf.co/dglhf/Slonik
Link standalone Slonik models from the shared research overview
Browse files- 27B/adapter/adapter_config.json +0 -22
- 27B/adapter/adapter_model.safetensors +0 -3
- 27B/base/chat_template.jinja +0 -170
- 27B/base/config.json +0 -140
- 27B/base/generation_config.json +0 -12
- 27B/base/merges.txt +0 -0
- 27B/base/model-00001-of-00018.safetensors +0 -3
- 27B/base/model-00002-of-00018.safetensors +0 -3
- 27B/base/model-00003-of-00018.safetensors +0 -3
- 27B/base/model-00004-of-00018.safetensors +0 -3
- 27B/base/model-00005-of-00018.safetensors +0 -3
- 27B/base/model-00006-of-00018.safetensors +0 -3
- 27B/base/model-00007-of-00018.safetensors +0 -3
- 27B/base/model-00008-of-00018.safetensors +0 -3
- 27B/base/model-00009-of-00018.safetensors +0 -3
- 27B/base/model-00010-of-00018.safetensors +0 -3
- 27B/base/model-00011-of-00018.safetensors +0 -3
- 27B/base/model-00012-of-00018.safetensors +0 -3
- 27B/base/model-00013-of-00018.safetensors +0 -3
- 27B/base/model-00014-of-00018.safetensors +0 -3
- 27B/base/model-00015-of-00018.safetensors +0 -3
- 27B/base/model-00016-of-00018.safetensors +0 -3
- 27B/base/model-00017-of-00018.safetensors +0 -3
- 27B/base/model-00018-of-00018.safetensors +0 -3
- 27B/base/model.safetensors.index.json +0 -0
- 27B/base/preprocessor_config.json +0 -21
- 27B/base/tokenizer.json +0 -3
- 27B/base/tokenizer_config.json +0 -305
- 27B/base/video_preprocessor_config.json +0 -21
- 27B/base/vocab.json +0 -0
- 9B/chat_template.jinja +0 -154
- 9B/config.json +0 -103
- 9B/generation_config.json +0 -6
- 9B/model-00001-of-00002.safetensors +0 -3
- 9B/model-00002-of-00002.safetensors +0 -3
- 9B/model.safetensors.index.json +0 -782
- 9B/preprocessor_config.json +0 -21
- 9B/tokenizer.json +0 -3
- 9B/tokenizer_config.json +0 -32
- 9B/video_preprocessor_config.json +0 -21
- NOTICE +1 -4
- README.md +10 -89
- checksums.sha256 +0 -40
27B/adapter/adapter_config.json
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"base_model_name_or_path": null,
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"peft_type": "LORA",
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"task_type": "CAUSAL_LM",
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"target_modules": [
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],
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"inference_mode": true
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version https://git-lfs.github.com/spec/v1
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oid sha256:41b3763b530ac5dd1f4d2d19b1b1765f7cb611b826bab8b6cc456d95a5b1077f
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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 '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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{%- if do_vision_count %}
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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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{%- 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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{%- 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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{%- set reasoning_instructions = '' %}
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{%- if enable_thinking is undefined or enable_thinking is true %}
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{%- set resolved_reasoning_effort = reasoning_effort|default('xhigh') %}
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{%- if resolved_reasoning_effort not in ('xhigh', 'medium', 'low') %}
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{{- raise_exception('Unexpected reasoning effort ' ~ reasoning_effort ~ '. Supported types are xhigh (default), medium, and low.') }}
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{%- endif %}
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{%- if resolved_reasoning_effort == 'xhigh' %}
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{%- set reasoning_instructions = 'Reasoning effort is set to xhigh. Please think carefully through the task, validate key assumptions, consider plausible alternatives, and prioritize correctness, consistency, and clarity in the final answer.' %}
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{%- elif resolved_reasoning_effort == 'low' %}
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{%- set reasoning_instructions = 'Reasoning effort is set to low. Keep your thinking brief and focused, moving directly to the conclusion without unnecessary elaboration.' %}
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{%- endif %}
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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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{%- if reasoning_instructions %}
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{{- reasoning_instructions + '\n\n' }}
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{%- endif %}
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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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{%- if content %}
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{{- '<|im_start|>system\n' + (reasoning_instructions + '\n\n' if reasoning_instructions else '') + content + '<|im_end|>\n' }}
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{%- elif reasoning_instructions %}
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{{- '<|im_start|>system\n' + reasoning_instructions + '<|im_end|>\n' }}
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{%- endif %}
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{%- elif reasoning_instructions %}
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{{- '<|im_start|>system\n' + reasoning_instructions + '<|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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{%- endif %}
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{%- set reasoning_content = reasoning_content|trim %}
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| 116 |
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{%- if preserve_thinking is undefined or preserve_thinking is true or 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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| 121 |
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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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| 129 |
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{%- else %}
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{{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
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| 131 |
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{%- endif %}
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| 132 |
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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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| 135 |
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{%- if tool_call.arguments is defined and tool_call.arguments != '' %}
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{%- for args_name, args_value in tool_call.arguments|items %}
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| 137 |
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{{- '<parameter=' + args_name + '>\n' }}
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{%- set args_value = args_value | string if args_value is string else args_value | tojson | safe %}
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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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| 152 |
-
{{- 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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| 159 |
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{%- else %}
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| 160 |
-
{{- 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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| 165 |
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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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{
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"architectures": [
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| 90 |
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| 123 |
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| 124 |
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| 125 |
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27B/base/preprocessor_config.json
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{
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"size": {
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"longest_edge": 16777216,
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"shortest_edge": 65536
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},
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"patch_size": 16,
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"temporal_patch_size": 2,
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"merge_size": 2,
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"image_mean": [
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0.5,
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0.5,
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0.5
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],
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"image_std": [
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0.5,
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0.5,
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0.5
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],
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"processor_class": "Qwen3VLProcessor",
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"image_processor_type": "Qwen2VLImageProcessorFast"
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}
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27B/base/tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:0997f410c57a1f4e53b09e4be8f4a172d90edd9564368fb0847030937229b9f3
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size 12809320
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27B/base/tokenizer_config.json
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{
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| 2 |
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"add_prefix_space": false,
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| 3 |
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"added_tokens_decoder": {
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| 4 |
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"248044": {
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| 5 |
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"content": "<|endoftext|>",
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| 6 |
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"lstrip": false,
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| 7 |
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"normalized": false,
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| 8 |
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"rstrip": false,
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| 9 |
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"single_word": false,
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| 10 |
-
"special": true
|
| 11 |
-
},
|
| 12 |
-
"248045": {
|
| 13 |
-
"content": "<|im_start|>",
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| 14 |
-
"lstrip": false,
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| 15 |
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"normalized": false,
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| 16 |
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"rstrip": false,
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| 17 |
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"single_word": false,
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"special": true
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| 19 |
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},
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| 20 |
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"248046": {
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| 21 |
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"content": "<|im_end|>",
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| 22 |
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"lstrip": false,
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| 23 |
-
"normalized": false,
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| 24 |
-
"rstrip": false,
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| 25 |
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"single_word": false,
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| 26 |
-
"special": true
|
| 27 |
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},
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| 28 |
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"248047": {
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| 29 |
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"content": "<|object_ref_start|>",
|
| 30 |
-
"lstrip": false,
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| 31 |
-
"normalized": false,
|
| 32 |
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"rstrip": false,
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| 33 |
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"single_word": false,
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| 34 |
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"special": true
|
| 35 |
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},
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| 36 |
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"248048": {
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| 37 |
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"content": "<|object_ref_end|>",
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| 38 |
-
"lstrip": false,
|
| 39 |
-
"normalized": false,
|
| 40 |
-
"rstrip": false,
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| 41 |
-
"single_word": false,
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| 42 |
-
"special": true
|
| 43 |
-
},
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| 44 |
-
"248049": {
|
| 45 |
-
"content": "<|box_start|>",
|
| 46 |
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"lstrip": false,
|
| 47 |
-
"normalized": false,
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| 48 |
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"rstrip": false,
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| 49 |
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"single_word": false,
|
| 50 |
-
"special": true
|
| 51 |
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},
|
| 52 |
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"248050": {
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-
"content": "<|box_end|>",
|
| 54 |
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"lstrip": false,
|
| 55 |
-
"normalized": false,
|
| 56 |
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"rstrip": false,
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"single_word": false,
|
| 58 |
-
"special": true
|
| 59 |
-
},
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| 60 |
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"248051": {
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| 61 |
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"content": "<|quad_start|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
|
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-
},
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| 68 |
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"248052": {
|
| 69 |
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"content": "<|quad_end|>",
|
| 70 |
-
"lstrip": false,
|
| 71 |
-
"normalized": false,
|
| 72 |
-
"rstrip": false,
|
| 73 |
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"single_word": false,
|
| 74 |
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"special": true
|
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},
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| 76 |
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"248053": {
|
| 77 |
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"content": "<|vision_start|>",
|
| 78 |
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"lstrip": false,
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| 79 |
-
"normalized": false,
|
| 80 |
-
"rstrip": false,
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| 81 |
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"single_word": false,
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| 82 |
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"special": true
|
| 83 |
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},
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| 84 |
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"248054": {
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| 85 |
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"content": "<|vision_end|>",
|
| 86 |
-
"lstrip": false,
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| 87 |
-
"normalized": false,
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"rstrip": false,
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"single_word": false,
|
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"special": true
|
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-
},
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"248055": {
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"content": "<|vision_pad|>",
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"lstrip": false,
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"normalized": false,
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-
"rstrip": false,
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| 97 |
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"single_word": false,
|
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-
"special": true
|
| 99 |
-
},
|
| 100 |
-
"248056": {
|
| 101 |
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"content": "<|image_pad|>",
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| 102 |
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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| 105 |
-
"single_word": false,
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"special": true
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| 107 |
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},
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-
"248057": {
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-
"content": "<|video_pad|>",
|
| 110 |
-
"lstrip": false,
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| 111 |
-
"normalized": false,
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| 112 |
-
"rstrip": false,
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| 113 |
-
"single_word": false,
|
| 114 |
-
"special": true
|
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-
},
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| 116 |
-
"248058": {
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| 117 |
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"content": "<tool_call>",
|
| 118 |
-
"lstrip": false,
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| 119 |
-
"normalized": false,
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-
"rstrip": false,
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"single_word": false,
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"special": false
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-
},
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-
"248059": {
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| 125 |
-
"content": "</tool_call>",
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| 126 |
-
"lstrip": false,
|
| 127 |
-
"normalized": false,
|
| 128 |
-
"rstrip": false,
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| 129 |
-
"single_word": false,
|
| 130 |
-
"special": false
|
| 131 |
-
},
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| 132 |
-
"248060": {
|
| 133 |
-
"content": "<|fim_prefix|>",
|
| 134 |
-
"lstrip": false,
|
| 135 |
-
"normalized": false,
|
| 136 |
-
"rstrip": false,
|
| 137 |
-
"single_word": false,
|
| 138 |
-
"special": false
|
| 139 |
-
},
|
| 140 |
-
"248061": {
|
| 141 |
-
"content": "<|fim_middle|>",
|
| 142 |
-
"lstrip": false,
|
| 143 |
-
"normalized": false,
|
| 144 |
-
"rstrip": false,
|
| 145 |
-
"single_word": false,
|
| 146 |
-
"special": false
|
| 147 |
-
},
|
| 148 |
-
"248062": {
|
| 149 |
-
"content": "<|fim_suffix|>",
|
| 150 |
-
"lstrip": false,
|
| 151 |
-
"normalized": false,
|
| 152 |
-
"rstrip": false,
|
| 153 |
-
"single_word": false,
|
| 154 |
-
"special": false
|
| 155 |
-
},
|
| 156 |
-
"248063": {
|
| 157 |
-
"content": "<|fim_pad|>",
|
| 158 |
-
"lstrip": false,
|
| 159 |
-
"normalized": false,
|
| 160 |
-
"rstrip": false,
|
| 161 |
-
"single_word": false,
|
| 162 |
-
"special": false
|
| 163 |
-
},
|
| 164 |
-
"248064": {
|
| 165 |
-
"content": "<|repo_name|>",
|
| 166 |
-
"lstrip": false,
|
| 167 |
-
"normalized": false,
|
| 168 |
-
"rstrip": false,
|
| 169 |
-
"single_word": false,
|
| 170 |
-
"special": false
|
| 171 |
-
},
|
| 172 |
-
"248065": {
|
| 173 |
-
"content": "<|file_sep|>",
|
| 174 |
-
"lstrip": false,
|
| 175 |
-
"normalized": false,
|
| 176 |
-
"rstrip": false,
|
| 177 |
-
"single_word": false,
|
| 178 |
-
"special": false
|
| 179 |
-
},
|
| 180 |
-
"248066": {
|
| 181 |
-
"content": "<tool_response>",
|
| 182 |
-
"lstrip": false,
|
| 183 |
-
"normalized": false,
|
| 184 |
-
"rstrip": false,
|
| 185 |
-
"single_word": false,
|
| 186 |
-
"special": false
|
| 187 |
-
},
|
| 188 |
-
"248067": {
|
| 189 |
-
"content": "</tool_response>",
|
| 190 |
-
"lstrip": false,
|
| 191 |
-
"normalized": false,
|
| 192 |
-
"rstrip": false,
|
| 193 |
-
"single_word": false,
|
| 194 |
-
"special": false
|
| 195 |
-
},
|
| 196 |
-
"248068": {
|
| 197 |
-
"content": "<think>",
|
| 198 |
-
"lstrip": false,
|
| 199 |
-
"normalized": false,
|
| 200 |
-
"rstrip": false,
|
| 201 |
-
"single_word": false,
|
| 202 |
-
"special": false
|
| 203 |
-
},
|
| 204 |
-
"248069": {
|
| 205 |
-
"content": "</think>",
|
| 206 |
-
"lstrip": false,
|
| 207 |
-
"normalized": false,
|
| 208 |
-
"rstrip": false,
|
| 209 |
-
"single_word": false,
|
| 210 |
-
"special": false
|
| 211 |
-
},
|
| 212 |
-
"248070": {
|
| 213 |
-
"content": "<|audio_start|>",
|
| 214 |
-
"lstrip": false,
|
| 215 |
-
"normalized": false,
|
| 216 |
-
"rstrip": false,
|
| 217 |
-
"single_word": false,
|
| 218 |
-
"special": true
|
| 219 |
-
},
|
| 220 |
-
"248071": {
|
| 221 |
-
"content": "<|audio_end|>",
|
| 222 |
-
"lstrip": false,
|
| 223 |
-
"normalized": false,
|
| 224 |
-
"rstrip": false,
|
| 225 |
-
"single_word": false,
|
| 226 |
-
"special": true
|
| 227 |
-
},
|
| 228 |
-
"248072": {
|
| 229 |
-
"content": "<tts_pad>",
|
| 230 |
-
"lstrip": false,
|
| 231 |
-
"normalized": false,
|
| 232 |
-
"rstrip": false,
|
| 233 |
-
"single_word": false,
|
| 234 |
-
"special": true
|
| 235 |
-
},
|
| 236 |
-
"248073": {
|
| 237 |
-
"content": "<tts_text_bos>",
|
| 238 |
-
"lstrip": false,
|
| 239 |
-
"normalized": false,
|
| 240 |
-
"rstrip": false,
|
| 241 |
-
"single_word": false,
|
| 242 |
-
"special": true
|
| 243 |
-
},
|
| 244 |
-
"248074": {
|
| 245 |
-
"content": "<tts_text_eod>",
|
| 246 |
-
"lstrip": false,
|
| 247 |
-
"normalized": false,
|
| 248 |
-
"rstrip": false,
|
| 249 |
-
"single_word": false,
|
| 250 |
-
"special": true
|
| 251 |
-
},
|
| 252 |
-
"248075": {
|
| 253 |
-
"content": "<tts_text_bos_single>",
|
| 254 |
-
"lstrip": false,
|
| 255 |
-
"normalized": false,
|
| 256 |
-
"rstrip": false,
|
| 257 |
-
"single_word": false,
|
| 258 |
-
"special": true
|
| 259 |
-
},
|
| 260 |
-
"248076": {
|
| 261 |
-
"content": "<|audio_pad|>",
|
| 262 |
-
"lstrip": false,
|
| 263 |
-
"normalized": false,
|
| 264 |
-
"rstrip": false,
|
| 265 |
-
"single_word": false,
|
| 266 |
-
"special": true
|
| 267 |
-
}
|
| 268 |
-
},
|
| 269 |
-
"additional_special_tokens": [
|
| 270 |
-
"<|im_start|>",
|
| 271 |
-
"<|im_end|>",
|
| 272 |
-
"<|object_ref_start|>",
|
| 273 |
-
"<|object_ref_end|>",
|
| 274 |
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"<|box_start|>",
|
| 275 |
-
"<|box_end|>",
|
| 276 |
-
"<|quad_start|>",
|
| 277 |
-
"<|quad_end|>",
|
| 278 |
-
"<|vision_start|>",
|
| 279 |
-
"<|vision_end|>",
|
| 280 |
-
"<|vision_pad|>",
|
| 281 |
-
"<|image_pad|>",
|
| 282 |
-
"<|video_pad|>"
|
| 283 |
-
],
|
| 284 |
-
"bos_token": null,
|
| 285 |
-
"chat_template": "{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- macro render_content(content, do_vision_count, is_system_content=false) %}\n {%- if content is string %}\n {{- content }}\n {%- elif content is iterable and content is not mapping %}\n {%- for item in content %}\n {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}\n {%- if is_system_content %}\n {{- raise_exception('System message cannot contain images.') }}\n {%- endif %}\n {%- if do_vision_count %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- endif %}\n {%- if add_vision_id %}\n {{- 'Picture ' ~ image_count.value ~ ': ' }}\n {%- endif %}\n {{- '<|vision_start|><|image_pad|><|vision_end|>' }}\n {%- elif 'video' in item or item.type == 'video' %}\n {%- if is_system_content %}\n {{- raise_exception('System message cannot contain videos.') }}\n {%- endif %}\n {%- if do_vision_count %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- endif %}\n {%- if add_vision_id %}\n {{- 'Video ' ~ video_count.value ~ ': ' }}\n {%- endif %}\n {{- '<|vision_start|><|video_pad|><|vision_end|>' }}\n {%- elif 'text' in item %}\n {{- item.text }}\n {%- else %}\n {{- raise_exception('Unexpected item type in content.') }}\n {%- endif %}\n {%- endfor %}\n {%- elif content is none or content is undefined %}\n {{- '' }}\n {%- else %}\n {{- raise_exception('Unexpected content type.') }}\n {%- endif %}\n{%- endmacro %}\n{%- if not messages %}\n {{- raise_exception('No messages provided.') }}\n{%- endif %}\n{%- set reasoning_instructions = '' %}\n{%- if enable_thinking is undefined or enable_thinking is true %}\n {%- set resolved_reasoning_effort = reasoning_effort|default('xhigh') %}\n {%- if resolved_reasoning_effort not in ('xhigh', 'medium', 'low') %}\n {{- raise_exception('Unexpected reasoning effort ' ~ reasoning_effort ~ '. Supported types are xhigh (default), medium, and low.') }}\n {%- endif %}\n {%- if resolved_reasoning_effort == 'xhigh' %}\n {%- set reasoning_instructions = 'Reasoning effort is set to xhigh. Please think carefully through the task, validate key assumptions, consider plausible alternatives, and prioritize correctness, consistency, and clarity in the final answer.' %}\n {%- elif resolved_reasoning_effort == 'low' %}\n {%- set reasoning_instructions = 'Reasoning effort is set to low. Keep your thinking brief and focused, moving directly to the conclusion without unnecessary elaboration.' %}\n {%- endif %}\n{%- endif %}\n{%- if tools and tools is iterable and tools is not mapping %}\n {{- '<|im_start|>system\\n' }}\n {%- if reasoning_instructions %}\n {{- reasoning_instructions + '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou have access to the following functions:\\n\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\" }}\n {{- '\\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>' }}\n {%- if messages[0].role == 'system' %}\n {%- set content = render_content(messages[0].content, false, true)|trim %}\n {%- if content %}\n {{- '\\n\\n' + content }}\n {%- endif %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {%- set content = render_content(messages[0].content, false, true)|trim %}\n {%- if content %}\n {{- '<|im_start|>system\\n' + (reasoning_instructions + '\\n\\n' if reasoning_instructions else '') + content + '<|im_end|>\\n' }}\n {%- elif reasoning_instructions %}\n {{- '<|im_start|>system\\n' + reasoning_instructions + '<|im_end|>\\n' }}\n {%- endif %}\n {%- elif reasoning_instructions %}\n {{- '<|im_start|>system\\n' + reasoning_instructions + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" %}\n {%- set content = render_content(message.content, false)|trim %}\n {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if ns.multi_step_tool %}\n {{- raise_exception('No user query found in messages.') }}\n{%- endif %}\n{%- for message in messages %}\n {%- set content = render_content(message.content, true)|trim %}\n {%- if message.role == \"system\" %}\n {%- if not loop.first %}\n {{- raise_exception('System message must be at the beginning.') }}\n {%- endif %}\n {%- elif message.role == \"user\" %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is string %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- endif %}\n {%- set reasoning_content = reasoning_content|trim %}\n {%- if preserve_thinking is undefined or preserve_thinking is true or loop.index0 > ns.last_query_index %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content + '\\n</think>\\n\\n' + content }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {%- if loop.first %}\n {%- if content|trim %}\n {{- '\\n\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n {%- else %}\n {{- '<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n {%- endif %}\n {%- else %}\n {{- '\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n {%- endif %}\n {%- if tool_call.arguments is defined and tool_call.arguments != '' %}\n {%- for args_name, args_value in tool_call.arguments|items %}\n {{- '<parameter=' + args_name + '>\\n' }}\n {%- set args_value = args_value | string if args_value is string else args_value | tojson | safe %}\n {{- args_value }}\n {{- '\\n</parameter>\\n' }}\n {%- endfor %}\n {%- endif %}\n {{- '</function>\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.previtem and loop.previtem.role != \"tool\" %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- content }}\n {{- '\\n</tool_response>' }}\n {%- if not loop.last and loop.nextitem.role != \"tool\" %}\n {{- '<|im_end|>\\n' }}\n {%- elif loop.last %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- else %}\n {{- raise_exception('Unexpected message role.') }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- else %}\n {{- '<think>\\n' }}\n {%- endif %}\n{%- endif %}",
|
| 286 |
-
"clean_up_tokenization_spaces": false,
|
| 287 |
-
"eos_token": "<|im_end|>",
|
| 288 |
-
"errors": "replace",
|
| 289 |
-
"model_max_length": 262144,
|
| 290 |
-
"pad_token": "<|endoftext|>",
|
| 291 |
-
"split_special_tokens": false,
|
| 292 |
-
"tokenizer_class": "Qwen2Tokenizer",
|
| 293 |
-
"unk_token": null,
|
| 294 |
-
"add_bos_token": false,
|
| 295 |
-
"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+",
|
| 296 |
-
"extra_special_tokens": {
|
| 297 |
-
"audio_bos_token": "<|audio_start|>",
|
| 298 |
-
"audio_eos_token": "<|audio_end|>",
|
| 299 |
-
"audio_token": "<|audio_pad|>",
|
| 300 |
-
"image_token": "<|image_pad|>",
|
| 301 |
-
"video_token": "<|video_pad|>",
|
| 302 |
-
"vision_bos_token": "<|vision_start|>",
|
| 303 |
-
"vision_eos_token": "<|vision_end|>"
|
| 304 |
-
}
|
| 305 |
-
}
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|
27B/base/video_preprocessor_config.json
DELETED
|
@@ -1,21 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"size": {
|
| 3 |
-
"longest_edge": 25165824,
|
| 4 |
-
"shortest_edge": 4096
|
| 5 |
-
},
|
| 6 |
-
"patch_size": 16,
|
| 7 |
-
"temporal_patch_size": 2,
|
| 8 |
-
"merge_size": 2,
|
| 9 |
-
"image_mean": [
|
| 10 |
-
0.5,
|
| 11 |
-
0.5,
|
| 12 |
-
0.5
|
| 13 |
-
],
|
| 14 |
-
"image_std": [
|
| 15 |
-
0.5,
|
| 16 |
-
0.5,
|
| 17 |
-
0.5
|
| 18 |
-
],
|
| 19 |
-
"processor_class": "Qwen3VLProcessor",
|
| 20 |
-
"video_processor_type": "Qwen3VLVideoProcessor"
|
| 21 |
-
}
|
|
|
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|
27B/base/vocab.json
DELETED
|
The diff for this file is too large to render.
See raw diff
|
|
|
9B/chat_template.jinja
DELETED
|
@@ -1,154 +0,0 @@
|
|
| 1 |
-
{%- set image_count = namespace(value=0) %}
|
| 2 |
-
{%- set video_count = namespace(value=0) %}
|
| 3 |
-
{%- macro render_content(content, do_vision_count, is_system_content=false) %}
|
| 4 |
-
{%- if content is string %}
|
| 5 |
-
{{- content }}
|
| 6 |
-
{%- elif content is iterable and content is not mapping %}
|
| 7 |
-
{%- for item in content %}
|
| 8 |
-
{%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
|
| 9 |
-
{%- if is_system_content %}
|
| 10 |
-
{{- raise_exception('System message cannot contain images.') }}
|
| 11 |
-
{%- endif %}
|
| 12 |
-
{%- if do_vision_count %}
|
| 13 |
-
{%- set image_count.value = image_count.value + 1 %}
|
| 14 |
-
{%- endif %}
|
| 15 |
-
{%- if add_vision_id %}
|
| 16 |
-
{{- 'Picture ' ~ image_count.value ~ ': ' }}
|
| 17 |
-
{%- endif %}
|
| 18 |
-
{{- '<|vision_start|><|image_pad|><|vision_end|>' }}
|
| 19 |
-
{%- elif 'video' in item or item.type == 'video' %}
|
| 20 |
-
{%- if is_system_content %}
|
| 21 |
-
{{- raise_exception('System message cannot contain videos.') }}
|
| 22 |
-
{%- endif %}
|
| 23 |
-
{%- if do_vision_count %}
|
| 24 |
-
{%- set video_count.value = video_count.value + 1 %}
|
| 25 |
-
{%- endif %}
|
| 26 |
-
{%- if add_vision_id %}
|
| 27 |
-
{{- 'Video ' ~ video_count.value ~ ': ' }}
|
| 28 |
-
{%- endif %}
|
| 29 |
-
{{- '<|vision_start|><|video_pad|><|vision_end|>' }}
|
| 30 |
-
{%- elif 'text' in item %}
|
| 31 |
-
{{- item.text }}
|
| 32 |
-
{%- else %}
|
| 33 |
-
{{- raise_exception('Unexpected item type in content.') }}
|
| 34 |
-
{%- endif %}
|
| 35 |
-
{%- endfor %}
|
| 36 |
-
{%- elif content is none or content is undefined %}
|
| 37 |
-
{{- '' }}
|
| 38 |
-
{%- else %}
|
| 39 |
-
{{- raise_exception('Unexpected content type.') }}
|
| 40 |
-
{%- endif %}
|
| 41 |
-
{%- endmacro %}
|
| 42 |
-
{%- if not messages %}
|
| 43 |
-
{{- raise_exception('No messages provided.') }}
|
| 44 |
-
{%- endif %}
|
| 45 |
-
{%- if tools and tools is iterable and tools is not mapping %}
|
| 46 |
-
{{- '<|im_start|>system\n' }}
|
| 47 |
-
{{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
|
| 48 |
-
{%- for tool in tools %}
|
| 49 |
-
{{- "\n" }}
|
| 50 |
-
{{- tool | tojson }}
|
| 51 |
-
{%- endfor %}
|
| 52 |
-
{{- "\n</tools>" }}
|
| 53 |
-
{{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
|
| 54 |
-
{%- if messages[0].role == 'system' %}
|
| 55 |
-
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 56 |
-
{%- if content %}
|
| 57 |
-
{{- '\n\n' + content }}
|
| 58 |
-
{%- endif %}
|
| 59 |
-
{%- endif %}
|
| 60 |
-
{{- '<|im_end|>\n' }}
|
| 61 |
-
{%- else %}
|
| 62 |
-
{%- if messages[0].role == 'system' %}
|
| 63 |
-
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 64 |
-
{{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
|
| 65 |
-
{%- endif %}
|
| 66 |
-
{%- endif %}
|
| 67 |
-
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 68 |
-
{%- for message in messages[::-1] %}
|
| 69 |
-
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 70 |
-
{%- if ns.multi_step_tool and message.role == "user" %}
|
| 71 |
-
{%- set content = render_content(message.content, false)|trim %}
|
| 72 |
-
{%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
|
| 73 |
-
{%- set ns.multi_step_tool = false %}
|
| 74 |
-
{%- set ns.last_query_index = index %}
|
| 75 |
-
{%- endif %}
|
| 76 |
-
{%- endif %}
|
| 77 |
-
{%- endfor %}
|
| 78 |
-
{%- if ns.multi_step_tool %}
|
| 79 |
-
{{- raise_exception('No user query found in messages.') }}
|
| 80 |
-
{%- endif %}
|
| 81 |
-
{%- for message in messages %}
|
| 82 |
-
{%- set content = render_content(message.content, true)|trim %}
|
| 83 |
-
{%- if message.role == "system" %}
|
| 84 |
-
{%- if not loop.first %}
|
| 85 |
-
{{- raise_exception('System message must be at the beginning.') }}
|
| 86 |
-
{%- endif %}
|
| 87 |
-
{%- elif message.role == "user" %}
|
| 88 |
-
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 89 |
-
{%- elif message.role == "assistant" %}
|
| 90 |
-
{%- set reasoning_content = '' %}
|
| 91 |
-
{%- if message.reasoning_content is string %}
|
| 92 |
-
{%- set reasoning_content = message.reasoning_content %}
|
| 93 |
-
{%- else %}
|
| 94 |
-
{%- if '</think>' in content %}
|
| 95 |
-
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 96 |
-
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 97 |
-
{%- endif %}
|
| 98 |
-
{%- endif %}
|
| 99 |
-
{%- set reasoning_content = reasoning_content|trim %}
|
| 100 |
-
{%- if 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 %}
|
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|
9B/config.json
DELETED
|
@@ -1,103 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"architectures": [
|
| 3 |
-
"Qwen3_5ForConditionalGeneration"
|
| 4 |
-
],
|
| 5 |
-
"image_token_id": 248056,
|
| 6 |
-
"model_type": "qwen3_5",
|
| 7 |
-
"text_config": {
|
| 8 |
-
"attention_bias": false,
|
| 9 |
-
"attention_dropout": 0.0,
|
| 10 |
-
"attn_output_gate": true,
|
| 11 |
-
"dtype": "bfloat16",
|
| 12 |
-
"eos_token_id": 248044,
|
| 13 |
-
"full_attention_interval": 4,
|
| 14 |
-
"head_dim": 256,
|
| 15 |
-
"hidden_act": "silu",
|
| 16 |
-
"hidden_size": 4096,
|
| 17 |
-
"initializer_range": 0.02,
|
| 18 |
-
"intermediate_size": 12288,
|
| 19 |
-
"layer_types": [
|
| 20 |
-
"linear_attention",
|
| 21 |
-
"linear_attention",
|
| 22 |
-
"linear_attention",
|
| 23 |
-
"full_attention",
|
| 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 |
-
],
|
| 53 |
-
"linear_conv_kernel_dim": 4,
|
| 54 |
-
"linear_key_head_dim": 128,
|
| 55 |
-
"linear_num_key_heads": 16,
|
| 56 |
-
"linear_num_value_heads": 32,
|
| 57 |
-
"linear_value_head_dim": 128,
|
| 58 |
-
"max_position_embeddings": 262144,
|
| 59 |
-
"mlp_only_layers": [],
|
| 60 |
-
"model_type": "qwen3_5_text",
|
| 61 |
-
"mtp_num_hidden_layers": 1,
|
| 62 |
-
"mtp_use_dedicated_embeddings": false,
|
| 63 |
-
"num_attention_heads": 16,
|
| 64 |
-
"num_hidden_layers": 32,
|
| 65 |
-
"num_key_value_heads": 4,
|
| 66 |
-
"rms_norm_eps": 1e-06,
|
| 67 |
-
"use_cache": true,
|
| 68 |
-
"vocab_size": 248320,
|
| 69 |
-
"mamba_ssm_dtype": "float32",
|
| 70 |
-
"rope_parameters": {
|
| 71 |
-
"mrope_interleaved": true,
|
| 72 |
-
"mrope_section": [
|
| 73 |
-
11,
|
| 74 |
-
11,
|
| 75 |
-
10
|
| 76 |
-
],
|
| 77 |
-
"rope_type": "default",
|
| 78 |
-
"rope_theta": 10000000,
|
| 79 |
-
"partial_rotary_factor": 0.25
|
| 80 |
-
}
|
| 81 |
-
},
|
| 82 |
-
"tie_word_embeddings": false,
|
| 83 |
-
"transformers_version": "4.57.0.dev0",
|
| 84 |
-
"video_token_id": 248057,
|
| 85 |
-
"vision_config": {
|
| 86 |
-
"deepstack_visual_indexes": [],
|
| 87 |
-
"depth": 27,
|
| 88 |
-
"hidden_act": "gelu_pytorch_tanh",
|
| 89 |
-
"hidden_size": 1152,
|
| 90 |
-
"in_channels": 3,
|
| 91 |
-
"initializer_range": 0.02,
|
| 92 |
-
"intermediate_size": 4304,
|
| 93 |
-
"model_type": "qwen3_5",
|
| 94 |
-
"num_heads": 16,
|
| 95 |
-
"num_position_embeddings": 2304,
|
| 96 |
-
"out_hidden_size": 4096,
|
| 97 |
-
"patch_size": 16,
|
| 98 |
-
"spatial_merge_size": 2,
|
| 99 |
-
"temporal_patch_size": 2
|
| 100 |
-
},
|
| 101 |
-
"vision_end_token_id": 248054,
|
| 102 |
-
"vision_start_token_id": 248053
|
| 103 |
-
}
|
|
|
|
|
|
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|
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|
9B/generation_config.json
DELETED
|
@@ -1,6 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"_from_model_config": true,
|
| 3 |
-
"eos_token_id": 248044,
|
| 4 |
-
"transformers_version": "5.9.0",
|
| 5 |
-
"use_cache": true
|
| 6 |
-
}
|
|
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|
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|
9B/model-00001-of-00002.safetensors
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:c58bce582ef74bcde57fd98741921f33a05fdf27f307a71d57f384effc951a21
|
| 3 |
-
size 17907663008
|
|
|
|
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|
9B/model-00002-of-00002.safetensors
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:64f683d74d5c5a313324f0b38419e80fb4bb2daf214fa432273d7e91dae58984
|
| 3 |
-
size 1398643776
|
|
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|
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|
|
9B/model.safetensors.index.json
DELETED
|
@@ -1,782 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"metadata": {
|
| 3 |
-
"total_size": 19306208736
|
| 4 |
-
},
|
| 5 |
-
"weight_map": {
|
| 6 |
-
"lm_head.weight": "model-00001-of-00002.safetensors",
|
| 7 |
-
"model.language_model.embed_tokens.weight": "model-00001-of-00002.safetensors",
|
| 8 |
-
"model.language_model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 9 |
-
"model.language_model.layers.0.linear_attn.A_log": "model-00001-of-00002.safetensors",
|
| 10 |
-
"model.language_model.layers.0.linear_attn.conv1d.weight": "model-00001-of-00002.safetensors",
|
| 11 |
-
"model.language_model.layers.0.linear_attn.dt_bias": "model-00001-of-00002.safetensors",
|
| 12 |
-
"model.language_model.layers.0.linear_attn.in_proj_a.weight": "model-00001-of-00002.safetensors",
|
| 13 |
-
"model.language_model.layers.0.linear_attn.in_proj_b.weight": "model-00001-of-00002.safetensors",
|
| 14 |
-
"model.language_model.layers.0.linear_attn.in_proj_qkv.weight": "model-00001-of-00002.safetensors",
|
| 15 |
-
"model.language_model.layers.0.linear_attn.in_proj_z.weight": "model-00001-of-00002.safetensors",
|
| 16 |
-
"model.language_model.layers.0.linear_attn.norm.weight": "model-00001-of-00002.safetensors",
|
| 17 |
-
"model.language_model.layers.0.linear_attn.out_proj.weight": "model-00001-of-00002.safetensors",
|
| 18 |
-
"model.language_model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 19 |
-
"model.language_model.layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 20 |
-
"model.language_model.layers.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 21 |
-
"model.language_model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 22 |
-
"model.language_model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 23 |
-
"model.language_model.layers.1.linear_attn.A_log": "model-00001-of-00002.safetensors",
|
| 24 |
-
"model.language_model.layers.1.linear_attn.conv1d.weight": "model-00001-of-00002.safetensors",
|
| 25 |
-
"model.language_model.layers.1.linear_attn.dt_bias": "model-00001-of-00002.safetensors",
|
| 26 |
-
"model.language_model.layers.1.linear_attn.in_proj_a.weight": "model-00001-of-00002.safetensors",
|
| 27 |
-
"model.language_model.layers.1.linear_attn.in_proj_b.weight": "model-00001-of-00002.safetensors",
|
| 28 |
-
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|
| 29 |
-
"model.language_model.layers.1.linear_attn.in_proj_z.weight": "model-00001-of-00002.safetensors",
|
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|
9B/preprocessor_config.json
DELETED
|
@@ -1,21 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"size": {
|
| 3 |
-
"longest_edge": 16777216,
|
| 4 |
-
"shortest_edge": 65536
|
| 5 |
-
},
|
| 6 |
-
"patch_size": 16,
|
| 7 |
-
"temporal_patch_size": 2,
|
| 8 |
-
"merge_size": 2,
|
| 9 |
-
"image_mean": [
|
| 10 |
-
0.5,
|
| 11 |
-
0.5,
|
| 12 |
-
0.5
|
| 13 |
-
],
|
| 14 |
-
"image_std": [
|
| 15 |
-
0.5,
|
| 16 |
-
0.5,
|
| 17 |
-
0.5
|
| 18 |
-
],
|
| 19 |
-
"processor_class": "Qwen3VLProcessor",
|
| 20 |
-
"image_processor_type": "Qwen2VLImageProcessorFast"
|
| 21 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
|
|
|
|
|
|
9B/tokenizer.json
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
|
| 3 |
-
size 19989325
|
|
|
|
|
|
|
|
|
|
|
|
9B/tokenizer_config.json
DELETED
|
@@ -1,32 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"add_prefix_space": false,
|
| 3 |
-
"audio_bos_token": "<|audio_start|>",
|
| 4 |
-
"audio_eos_token": "<|audio_end|>",
|
| 5 |
-
"audio_token": "<|audio_pad|>",
|
| 6 |
-
"backend": "tokenizers",
|
| 7 |
-
"bos_token": null,
|
| 8 |
-
"clean_up_tokenization_spaces": false,
|
| 9 |
-
"eos_token": "<|im_end|>",
|
| 10 |
-
"errors": "replace",
|
| 11 |
-
"image_token": "<|image_pad|>",
|
| 12 |
-
"is_local": true,
|
| 13 |
-
"local_files_only": true,
|
| 14 |
-
"model_max_length": 262144,
|
| 15 |
-
"model_specific_special_tokens": {
|
| 16 |
-
"audio_bos_token": "<|audio_start|>",
|
| 17 |
-
"audio_eos_token": "<|audio_end|>",
|
| 18 |
-
"audio_token": "<|audio_pad|>",
|
| 19 |
-
"image_token": "<|image_pad|>",
|
| 20 |
-
"video_token": "<|video_pad|>",
|
| 21 |
-
"vision_bos_token": "<|vision_start|>",
|
| 22 |
-
"vision_eos_token": "<|vision_end|>"
|
| 23 |
-
},
|
| 24 |
-
"pad_token": "<|endoftext|>",
|
| 25 |
-
"pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
|
| 26 |
-
"split_special_tokens": false,
|
| 27 |
-
"tokenizer_class": "Qwen2Tokenizer",
|
| 28 |
-
"unk_token": null,
|
| 29 |
-
"video_token": "<|video_pad|>",
|
| 30 |
-
"vision_bos_token": "<|vision_start|>",
|
| 31 |
-
"vision_eos_token": "<|vision_end|>"
|
| 32 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
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|
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|
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|
|
|
|
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|
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|
|
|
|
|
|
|
9B/video_preprocessor_config.json
DELETED
|
@@ -1,21 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"size": {
|
| 3 |
-
"longest_edge": 25165824,
|
| 4 |
-
"shortest_edge": 4096
|
| 5 |
-
},
|
| 6 |
-
"patch_size": 16,
|
| 7 |
-
"temporal_patch_size": 2,
|
| 8 |
-
"merge_size": 2,
|
| 9 |
-
"image_mean": [
|
| 10 |
-
0.5,
|
| 11 |
-
0.5,
|
| 12 |
-
0.5
|
| 13 |
-
],
|
| 14 |
-
"image_std": [
|
| 15 |
-
0.5,
|
| 16 |
-
0.5,
|
| 17 |
-
0.5
|
| 18 |
-
],
|
| 19 |
-
"processor_class": "Qwen3VLProcessor",
|
| 20 |
-
"video_processor_type": "Qwen3VLVideoProcessor"
|
| 21 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
NOTICE
CHANGED
|
@@ -8,10 +8,7 @@ Their license files are retained in licenses/Qwen3.8-27B/LICENSE and
|
|
| 8 |
licenses/Qwen3.5-9B/LICENSE.
|
| 9 |
|
| 10 |
Postgres Professional modified the model parameters through continued
|
| 11 |
-
pretraining, supervised fine-tuning and reinforcement learning.
|
| 12 |
-
retains its reinforcement-learning adapter separately from its adapted base.
|
| 13 |
-
Slonik-9B contains the evaluated full-weight export with that adapter merged.
|
| 14 |
-
Configuration metadata was adjusted for portable loading.
|
| 15 |
|
| 16 |
The Apache License, Version 2.0 applies to the released model weights,
|
| 17 |
configuration files and accompanying loading examples. The report and
|
|
|
|
| 8 |
licenses/Qwen3.5-9B/LICENSE.
|
| 9 |
|
| 10 |
Postgres Professional modified the model parameters through continued
|
| 11 |
+
pretraining, supervised fine-tuning and reinforcement learning.
|
|
|
|
|
|
|
|
|
|
| 12 |
|
| 13 |
The Apache License, Version 2.0 applies to the released model weights,
|
| 14 |
configuration files and accompanying loading examples. The report and
|
README.md
CHANGED
|
@@ -1,10 +1,6 @@
|
|
| 1 |
---
|
| 2 |
pipeline_tag: text-generation
|
| 3 |
-
library_name: transformers
|
| 4 |
license: apache-2.0
|
| 5 |
-
base_model:
|
| 6 |
-
- Qwen/Qwen3.8-27B
|
| 7 |
-
- Qwen/Qwen3.5-9B
|
| 8 |
inference: false
|
| 9 |
tags:
|
| 10 |
- slonik
|
|
@@ -12,8 +8,7 @@ tags:
|
|
| 12 |
- postgresql
|
| 13 |
- software-engineering
|
| 14 |
- reinforcement-learning
|
| 15 |
-
-
|
| 16 |
-
- safetensors
|
| 17 |
---
|
| 18 |
|
| 19 |
# Slonik
|
|
@@ -24,8 +19,8 @@ November 2026
|
|
| 24 |
|
| 25 |
[Technical report (PDF)](Slonik.pdf)
|
| 26 |
|
| 27 |
-
[Slonik-27B weights](https://huggingface.co/dglhf/Slonik
|
| 28 |
-
[Slonik-9B weights](https://huggingface.co/dglhf/Slonik
|
| 29 |
[Apache 2.0](LICENSE)
|
| 30 |
|
| 31 |
Database engines are critical infrastructure, yet their development remains an underexplored setting for coding agents. A PostgreSQL patch must connect systems code with behavior exposed through SQL; successful compilation alone does not establish correctness. Existing database environments often study [tuning](https://vldb.org/cidrdb/2023/database-gyms.html) or [SQL debugging](https://arxiv.org/abs/2506.18951), while engine-development tasks require changes to the database implementation itself.
|
|
@@ -41,92 +36,18 @@ PostgreSQL supplies source-level repair tasks, built-in C function tasks, extens
|
|
| 41 |
| Slonik-27B | [Qwen3.8-27B](https://huggingface.co/Qwen/Qwen3.8-27B) | DAPO update 116 |
|
| 42 |
| Slonik-9B | [Qwen3.5-9B](https://huggingface.co/Qwen/Qwen3.5-9B) | DAPO update 177 |
|
| 43 |
|
| 44 |
-
The starting checkpoints belong to different backbone families, so the comparison does not isolate parameter count.
|
| 45 |
|
| 46 |
The Slonik-9B run later reached update 397, which has no complete five-suite evaluation in this report. Its SWE-bench score at update 177 is provisional; one evaluation round completed 55 of 58 tasks.
|
| 47 |
|
| 48 |
## Download and Run
|
| 49 |
|
| 50 |
-
|
| 51 |
-
|
| 52 |
-
| Model | Files | Loading |
|
| 53 |
| --- | --- | --- |
|
| 54 |
-
| Slonik-27B |
|
| 55 |
-
| Slonik-9B |
|
| 56 |
-
|
| 57 |
-
|
| 58 |
-
|
| 59 |
-
### Transformers
|
| 60 |
-
|
| 61 |
-
The loading check uses Transformers 5.9.0, PEFT 0.19.1, Accelerate 1.14.0, PyTorch 2.11.0. Use a PyTorch build suitable for your hardware.
|
| 62 |
-
|
| 63 |
-
```bash
|
| 64 |
-
pip install "transformers==5.9.0" "peft==0.19.1" "accelerate==1.14.0" huggingface_hub
|
| 65 |
-
```
|
| 66 |
-
|
| 67 |
-
```python
|
| 68 |
-
from pathlib import Path
|
| 69 |
-
|
| 70 |
-
import torch
|
| 71 |
-
from huggingface_hub import snapshot_download
|
| 72 |
-
from peft import PeftModel
|
| 73 |
-
from transformers import AutoModelForImageTextToText, AutoTokenizer
|
| 74 |
-
|
| 75 |
-
size = "9B" # "27B" selects the base plus adapter.
|
| 76 |
-
folder = Path(snapshot_download(
|
| 77 |
-
"dglhf/Slonik",
|
| 78 |
-
allow_patterns=[f"{size}/*", "LICENSE", "NOTICE", "licenses/*"],
|
| 79 |
-
)) / size
|
| 80 |
-
base = folder / "base" if size == "27B" else folder
|
| 81 |
-
|
| 82 |
-
tokenizer = AutoTokenizer.from_pretrained(base)
|
| 83 |
-
model = AutoModelForImageTextToText.from_pretrained(
|
| 84 |
-
base, dtype=torch.bfloat16, device_map="auto",
|
| 85 |
-
)
|
| 86 |
-
if size == "27B":
|
| 87 |
-
model = PeftModel.from_pretrained(
|
| 88 |
-
model, folder / "adapter", autocast_adapter_dtype=False,
|
| 89 |
-
)
|
| 90 |
-
model.eval()
|
| 91 |
-
|
| 92 |
-
messages = [{"role": "user", "content": "Explain how PostgreSQL MVCC visibility works."}]
|
| 93 |
-
prompt = tokenizer.apply_chat_template(
|
| 94 |
-
messages, tokenize=False, add_generation_prompt=True, enable_thinking=False,
|
| 95 |
-
)
|
| 96 |
-
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
|
| 97 |
-
with torch.inference_mode():
|
| 98 |
-
outputs = model.generate(
|
| 99 |
-
**inputs, max_new_tokens=512, do_sample=True,
|
| 100 |
-
temperature=1.0, top_p=0.95, top_k=20,
|
| 101 |
-
)
|
| 102 |
-
print(tokenizer.decode(outputs[0, inputs.input_ids.shape[1]:], skip_special_tokens=True))
|
| 103 |
-
```
|
| 104 |
-
|
| 105 |
-
The 27B adapter metadata contains no server-specific base path. Load the base explicitly as shown above. Attaching this adapter directly to the original Qwen checkpoint does not reproduce Slonik-27B.
|
| 106 |
-
|
| 107 |
-
### vLLM
|
| 108 |
-
|
| 109 |
-
Download the selected folder with `snapshot_download` above, then substitute its local path in these commands. The recorded serving configuration uses the `qwen3_coder` tool parser, text-only serving, thinking disabled. Tensor parallelism can be adjusted to the available GPUs.
|
| 110 |
-
|
| 111 |
-
```bash
|
| 112 |
-
vllm serve /path/to/Slonik/9B \
|
| 113 |
-
--served-model-name Slonik-9B \
|
| 114 |
-
--language-model-only --max-model-len 32768 \
|
| 115 |
-
--enable-auto-tool-choice --tool-call-parser qwen3_coder \
|
| 116 |
-
--default-chat-template-kwargs '{"enable_thinking": false}'
|
| 117 |
-
```
|
| 118 |
-
|
| 119 |
-
```bash
|
| 120 |
-
vllm serve /path/to/Slonik/27B/base \
|
| 121 |
-
--served-model-name Slonik-27B-base \
|
| 122 |
-
--enable-lora --max-lora-rank 16 \
|
| 123 |
-
--lora-modules Slonik-27B=/path/to/Slonik/27B/adapter \
|
| 124 |
-
--language-model-only --max-model-len 32768 \
|
| 125 |
-
--enable-auto-tool-choice --tool-call-parser qwen3_coder \
|
| 126 |
-
--default-chat-template-kwargs '{"enable_thinking": false}'
|
| 127 |
-
```
|
| 128 |
-
|
| 129 |
-
Send inference requests with `model="Slonik-9B"` or `model="Slonik-27B"`. Tool execution, the conversation loop, task environments belong to the calling agent harness.
|
| 130 |
|
| 131 |
## Uses
|
| 132 |
|
|
@@ -166,7 +87,7 @@ The evaluation uses a 60-turn limit with a 28,000-token prompt budget. Terminal-
|
|
| 166 |
|
| 167 |

|
| 168 |
|
| 169 |
-
**Benchmark results, pass@1 (%).**
|
| 170 |
|
| 171 |
| Model | PG17 | PG18 | Apache AGE | SWE-bench Verified subset | Terminal-Bench 2.0 subset |
|
| 172 |
| --- | ---: | ---: | ---: | ---: | ---: |
|
|
|
|
| 1 |
---
|
| 2 |
pipeline_tag: text-generation
|
|
|
|
| 3 |
license: apache-2.0
|
|
|
|
|
|
|
|
|
|
| 4 |
inference: false
|
| 5 |
tags:
|
| 6 |
- slonik
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- postgresql
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- software-engineering
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- reinforcement-learning
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- model-card-only
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---
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# Slonik
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[Technical report (PDF)](Slonik.pdf)
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[Slonik-27B weights](https://huggingface.co/dglhf/Slonik-27B)
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[Slonik-9B weights](https://huggingface.co/dglhf/Slonik-9B)
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[Apache 2.0](LICENSE)
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Database engines are critical infrastructure, yet their development remains an underexplored setting for coding agents. A PostgreSQL patch must connect systems code with behavior exposed through SQL; successful compilation alone does not establish correctness. Existing database environments often study [tuning](https://vldb.org/cidrdb/2023/database-gyms.html) or [SQL debugging](https://arxiv.org/abs/2506.18951), while engine-development tasks require changes to the database implementation itself.
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| Slonik-27B | [Qwen3.8-27B](https://huggingface.co/Qwen/Qwen3.8-27B) | DAPO update 116 |
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| Slonik-9B | [Qwen3.5-9B](https://huggingface.co/Qwen/Qwen3.5-9B) | DAPO update 177 |
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The starting checkpoints belong to different backbone families, so the comparison does not isolate parameter count. Both models are available as complete BF16 checkpoints in their respective repositories.
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The Slonik-9B run later reached update 397, which has no complete five-suite evaluation in this report. Its SWE-bench score at update 177 is provisional; one evaluation round completed 55 of 58 tasks.
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## Download and Run
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| Model | Repository | Instructions |
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| --- | --- | --- |
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| Slonik-27B | [dglhf/Slonik-27B](https://huggingface.co/dglhf/Slonik-27B) | [Transformers and vLLM](https://huggingface.co/dglhf/Slonik-27B#usage) |
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| Slonik-9B | [dglhf/Slonik-9B](https://huggingface.co/dglhf/Slonik-9B) | [Transformers and vLLM](https://huggingface.co/dglhf/Slonik-9B#usage) |
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Each repository contains the model weights, tokenizer, chat template, configuration files. This page contains the shared research overview and technical report.
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## Uses
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**Benchmark results from the technical report, pass@1 (%).**
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| Model | PG17 | PG18 | Apache AGE | SWE-bench Verified subset | Terminal-Bench 2.0 subset |
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| --- | ---: | ---: | ---: | ---: | ---: |
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