Text Generation
Transformers
Safetensors
qwen4_exp_text
qwen4-exp
mixture-of-experts
language-model
pretrained
pt
sft
conversational
Instructions to use Modujo-AI/ModujoMoE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Modujo-AI/ModujoMoE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Modujo-AI/ModujoMoE") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Modujo-AI/ModujoMoE") model = AutoModelForCausalLM.from_pretrained("Modujo-AI/ModujoMoE", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=256) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Modujo-AI/ModujoMoE with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Modujo-AI/ModujoMoE" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Modujo-AI/ModujoMoE", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Modujo-AI/ModujoMoE
- SGLang
How to use Modujo-AI/ModujoMoE 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 "Modujo-AI/ModujoMoE" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Modujo-AI/ModujoMoE", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'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 "Modujo-AI/ModujoMoE" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Modujo-AI/ModujoMoE", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Modujo-AI/ModujoMoE with Docker Model Runner:
docker model run hf.co/Modujo-AI/ModujoMoE
Add complete stage2 distillation inference checkpoint step 8032
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- sft/qwen38-distill-step8032/README.md +11 -0
- sft/qwen38-distill-step8032/chat_template.jinja +170 -0
- sft/qwen38-distill-step8032/config.json +120 -0
- sft/qwen38-distill-step8032/frozen-model-00027.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00028.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00029.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00030.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00031.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00032.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00033.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00034.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00035.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00036.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00037.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00038.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00039.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00040.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00041.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00042.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00043.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00044.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00045.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00046.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00047.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00048.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00049.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00050.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00051.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00052.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00053.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00054.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00055.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00056.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00057.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00058.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00059.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00060.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00061.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00062.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00063.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00064.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00065.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00066.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00067.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00068.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00069.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00070.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00071.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00072.safetensors +3 -0
- sft/qwen38-distill-step8032/frozen-model-00073.safetensors +3 -0
sft/qwen38-distill-step8032/README.md
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# Qwen3.8-derived student: stage 2, step 8032
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Complete inference checkpoint after 1,000,764,291 input tokens of top-32 forward-KL distillation. Stage 3 training is separate and is not included in this snapshot.
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Architecture: 48 layers, hidden size 1280, 160 experts, top-6 routing; original frozen n-gram tables included. This folder contains all indexed weights and tokenizer/config files, with no dependency on local training paths. Optimizer state is not included.
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This final checkpoint has not yet received a generation evaluation. The earlier step-7700 checkpoint scored 3/50 final-answer accuracy on a fixed GSM8K sample; that is not a score for this checkpoint. This is an experimental model with weak multi-step mathematical reasoning.
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Use a Transformers/vLLM build supporting the architecture and n-gram implementation in config.json. Local inference was tested on earlier exported checkpoints with vLLM (local environment directory vllm031); inspect your engine support before use.
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The weight manifest records SHA-256 checksums. Original upstream model: Qwen/Qwen3.8-Flash-Next, revision de4b8e4d43b917e7706784d8bb445c9af86a3540. Upstream license terms apply.
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sft/qwen38-distill-step8032/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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{%- 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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| 70 |
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{%- set content = render_content(messages[0].content, false, true)|trim %}
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| 71 |
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{%- if content %}
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| 72 |
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{{- '\n\n' + content }}
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| 73 |
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{%- endif %}
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| 74 |
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{%- endif %}
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| 75 |
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{{- '<|im_end|>\n' }}
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| 76 |
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{%- else %}
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| 77 |
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{%- if messages[0].role == 'system' %}
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| 78 |
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{%- set content = render_content(messages[0].content, false, true)|trim %}
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| 79 |
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{%- if content %}
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| 80 |
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{{- '<|im_start|>system\n' + (reasoning_instructions + '\n\n' if reasoning_instructions else '') + content + '<|im_end|>\n' }}
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| 81 |
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{%- elif reasoning_instructions %}
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| 82 |
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{{- '<|im_start|>system\n' + reasoning_instructions + '<|im_end|>\n' }}
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| 83 |
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{%- endif %}
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| 84 |
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{%- elif reasoning_instructions %}
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| 85 |
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{{- '<|im_start|>system\n' + reasoning_instructions + '<|im_end|>\n' }}
|
| 86 |
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{%- endif %}
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| 87 |
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{%- endif %}
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| 88 |
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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| 89 |
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{%- for message in messages[::-1] %}
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| 90 |
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{%- set index = (messages|length - 1) - loop.index0 %}
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| 91 |
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{%- if ns.multi_step_tool and message.role == "user" %}
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| 92 |
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{%- set content = render_content(message.content, false)|trim %}
|
| 93 |
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{%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
|
| 94 |
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{%- set ns.multi_step_tool = false %}
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| 95 |
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{%- set ns.last_query_index = index %}
|
| 96 |
+
{%- endif %}
|
| 97 |
+
{%- endif %}
|
| 98 |
+
{%- endfor %}
|
| 99 |
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{%- if ns.multi_step_tool %}
|
| 100 |
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{{- raise_exception('No user query found in messages.') }}
|
| 101 |
+
{%- endif %}
|
| 102 |
+
{%- for message in messages %}
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| 103 |
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{%- set content = render_content(message.content, true)|trim %}
|
| 104 |
+
{%- if message.role == "system" %}
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| 105 |
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{%- if not loop.first %}
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| 106 |
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{{- raise_exception('System message must be at the beginning.') }}
|
| 107 |
+
{%- endif %}
|
| 108 |
+
{%- elif message.role == "user" %}
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| 109 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 110 |
+
{%- elif message.role == "assistant" %}
|
| 111 |
+
{%- set reasoning_content = '' %}
|
| 112 |
+
{%- if message.reasoning_content is string %}
|
| 113 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 114 |
+
{%- endif %}
|
| 115 |
+
{%- set reasoning_content = reasoning_content|trim %}
|
| 116 |
+
{%- if preserve_thinking is undefined or preserve_thinking is true or loop.index0 > ns.last_query_index %}
|
| 117 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
|
| 118 |
+
{%- else %}
|
| 119 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 120 |
+
{%- endif %}
|
| 121 |
+
{%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
|
| 122 |
+
{%- for tool_call in message.tool_calls %}
|
| 123 |
+
{%- if tool_call.function is defined %}
|
| 124 |
+
{%- set tool_call = tool_call.function %}
|
| 125 |
+
{%- endif %}
|
| 126 |
+
{%- if loop.first %}
|
| 127 |
+
{%- if content|trim %}
|
| 128 |
+
{{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 129 |
+
{%- else %}
|
| 130 |
+
{{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 131 |
+
{%- endif %}
|
| 132 |
+
{%- else %}
|
| 133 |
+
{{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 134 |
+
{%- endif %}
|
| 135 |
+
{%- if tool_call.arguments is defined and tool_call.arguments != '' %}
|
| 136 |
+
{%- for args_name, args_value in tool_call.arguments|items %}
|
| 137 |
+
{{- '<parameter=' + args_name + '>\n' }}
|
| 138 |
+
{%- set args_value = args_value | string if args_value is string else args_value | tojson | safe %}
|
| 139 |
+
{{- args_value }}
|
| 140 |
+
{{- '\n</parameter>\n' }}
|
| 141 |
+
{%- endfor %}
|
| 142 |
+
{%- endif %}
|
| 143 |
+
{{- '</function>\n</tool_call>' }}
|
| 144 |
+
{%- endfor %}
|
| 145 |
+
{%- endif %}
|
| 146 |
+
{{- '<|im_end|>\n' }}
|
| 147 |
+
{%- elif message.role == "tool" %}
|
| 148 |
+
{%- if loop.previtem and loop.previtem.role != "tool" %}
|
| 149 |
+
{{- '<|im_start|>user' }}
|
| 150 |
+
{%- endif %}
|
| 151 |
+
{{- '\n<tool_response>\n' }}
|
| 152 |
+
{{- content }}
|
| 153 |
+
{{- '\n</tool_response>' }}
|
| 154 |
+
{%- if not loop.last and loop.nextitem.role != "tool" %}
|
| 155 |
+
{{- '<|im_end|>\n' }}
|
| 156 |
+
{%- elif loop.last %}
|
| 157 |
+
{{- '<|im_end|>\n' }}
|
| 158 |
+
{%- endif %}
|
| 159 |
+
{%- else %}
|
| 160 |
+
{{- raise_exception('Unexpected message role.') }}
|
| 161 |
+
{%- endif %}
|
| 162 |
+
{%- endfor %}
|
| 163 |
+
{%- if add_generation_prompt %}
|
| 164 |
+
{{- '<|im_start|>assistant\n' }}
|
| 165 |
+
{%- if enable_thinking is defined and enable_thinking is false %}
|
| 166 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 167 |
+
{%- else %}
|
| 168 |
+
{{- '<think>\n' }}
|
| 169 |
+
{%- endif %}
|
| 170 |
+
{%- endif %}
|
sft/qwen38-distill-step8032/config.json
ADDED
|
@@ -0,0 +1,120 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"attention_bias": false,
|
| 3 |
+
"attention_dropout": 0.0,
|
| 4 |
+
"bos_token_id": 248044,
|
| 5 |
+
"dtype": "bfloat16",
|
| 6 |
+
"eos_token_id": 248044,
|
| 7 |
+
"full_attention_interval": 4,
|
| 8 |
+
"hc_count": 4,
|
| 9 |
+
"hc_lowrank": 160,
|
| 10 |
+
"head_dim": 256,
|
| 11 |
+
"heads_per_ngram": 8,
|
| 12 |
+
"hidden_act": "silu",
|
| 13 |
+
"hidden_size": 1280,
|
| 14 |
+
"indexer_budget": 2048,
|
| 15 |
+
"indexer_compress_ratio": 4,
|
| 16 |
+
"indexer_head_dim": 128,
|
| 17 |
+
"indexer_kv_heads": 1,
|
| 18 |
+
"indexer_n_heads": 4,
|
| 19 |
+
"initializer_range": 0.02,
|
| 20 |
+
"layer_types": [
|
| 21 |
+
"linear_attention",
|
| 22 |
+
"linear_attention",
|
| 23 |
+
"linear_attention",
|
| 24 |
+
"full_attention",
|
| 25 |
+
"linear_attention",
|
| 26 |
+
"linear_attention",
|
| 27 |
+
"linear_attention",
|
| 28 |
+
"full_attention",
|
| 29 |
+
"linear_attention",
|
| 30 |
+
"linear_attention",
|
| 31 |
+
"linear_attention",
|
| 32 |
+
"full_attention",
|
| 33 |
+
"linear_attention",
|
| 34 |
+
"linear_attention",
|
| 35 |
+
"linear_attention",
|
| 36 |
+
"full_attention",
|
| 37 |
+
"linear_attention",
|
| 38 |
+
"linear_attention",
|
| 39 |
+
"linear_attention",
|
| 40 |
+
"full_attention",
|
| 41 |
+
"linear_attention",
|
| 42 |
+
"linear_attention",
|
| 43 |
+
"linear_attention",
|
| 44 |
+
"full_attention",
|
| 45 |
+
"linear_attention",
|
| 46 |
+
"linear_attention",
|
| 47 |
+
"linear_attention",
|
| 48 |
+
"full_attention",
|
| 49 |
+
"linear_attention",
|
| 50 |
+
"linear_attention",
|
| 51 |
+
"linear_attention",
|
| 52 |
+
"full_attention",
|
| 53 |
+
"linear_attention",
|
| 54 |
+
"linear_attention",
|
| 55 |
+
"linear_attention",
|
| 56 |
+
"full_attention",
|
| 57 |
+
"linear_attention",
|
| 58 |
+
"linear_attention",
|
| 59 |
+
"linear_attention",
|
| 60 |
+
"full_attention",
|
| 61 |
+
"linear_attention",
|
| 62 |
+
"linear_attention",
|
| 63 |
+
"linear_attention",
|
| 64 |
+
"full_attention",
|
| 65 |
+
"linear_attention",
|
| 66 |
+
"linear_attention",
|
| 67 |
+
"linear_attention",
|
| 68 |
+
"full_attention"
|
| 69 |
+
],
|
| 70 |
+
"linear_conv_kernel_dim": 4,
|
| 71 |
+
"linear_key_head_dim": 128,
|
| 72 |
+
"linear_num_key_heads": 8,
|
| 73 |
+
"linear_num_value_heads": 24,
|
| 74 |
+
"linear_value_head_dim": 128,
|
| 75 |
+
"make_ngram_vocab_size_divisible_by": 128,
|
| 76 |
+
"mamba_ssm_dtype": "float32",
|
| 77 |
+
"max_position_embeddings": 262144,
|
| 78 |
+
"model_type": "qwen4_exp_text",
|
| 79 |
+
"moe_intermediate_size": 320,
|
| 80 |
+
"mtp": null,
|
| 81 |
+
"mtp_num_hidden_layers": 0,
|
| 82 |
+
"mtp_use_dedicated_embeddings": false,
|
| 83 |
+
"ngram_size": 3,
|
| 84 |
+
"ngram_vocab_size_base": 20000000,
|
| 85 |
+
"num_attention_heads": 12,
|
| 86 |
+
"num_experts": 160,
|
| 87 |
+
"num_experts_per_tok": 6,
|
| 88 |
+
"num_hidden_layers": 48,
|
| 89 |
+
"num_key_value_heads": 2,
|
| 90 |
+
"output_gate_type": "sigmoid",
|
| 91 |
+
"output_router_logits": true,
|
| 92 |
+
"pad_token_id": null,
|
| 93 |
+
"partial_rotary_factor": 0.25,
|
| 94 |
+
"ple_conv_kernel_size": 4,
|
| 95 |
+
"ple_embed_dim": 2560,
|
| 96 |
+
"ple_layer_ids": [
|
| 97 |
+
2
|
| 98 |
+
],
|
| 99 |
+
"rms_norm_eps": 1e-06,
|
| 100 |
+
"rope_parameters": {
|
| 101 |
+
"mrope_interleaved": true,
|
| 102 |
+
"mrope_section": [
|
| 103 |
+
11,
|
| 104 |
+
11,
|
| 105 |
+
10
|
| 106 |
+
],
|
| 107 |
+
"partial_rotary_factor": 0.25,
|
| 108 |
+
"rope_theta": 10000000,
|
| 109 |
+
"rope_type": "default"
|
| 110 |
+
},
|
| 111 |
+
"router_aux_loss_coef": 0.001,
|
| 112 |
+
"shared_expert_intermediate_size": 320,
|
| 113 |
+
"split_ngram_parts": 128,
|
| 114 |
+
"tie_word_embeddings": false,
|
| 115 |
+
"use_cache": true,
|
| 116 |
+
"vocab_size": 248320,
|
| 117 |
+
"architectures": [
|
| 118 |
+
"Qwen4ExpForCausalLM"
|
| 119 |
+
]
|
| 120 |
+
}
|
sft/qwen38-distill-step8032/frozen-model-00027.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f5a1513adbcd066ef85ead28577f781850426e65016cb56073d1e4b78d606043
|
| 3 |
+
size 800004016
|
sft/qwen38-distill-step8032/frozen-model-00028.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7cf8581d776c5fdf3b8ee326f49893e340b107db5f2fd23519328c37f4ef6bb0
|
| 3 |
+
size 800004016
|
sft/qwen38-distill-step8032/frozen-model-00029.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c33d0cf164a833f1ee76f3e23559854e69401b89ddf64d6f4312fd4132fc5a6c
|
| 3 |
+
size 800004016
|
sft/qwen38-distill-step8032/frozen-model-00030.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:70885808995d7a6787d0bf091acd6526fb66c0b5fb57c6b1ccd5c41ac5245187
|
| 3 |
+
size 800004016
|
sft/qwen38-distill-step8032/frozen-model-00031.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4f9181e54f9015000d482b8bf066a835f3a97202bb9559fd037422b7d74825fd
|
| 3 |
+
size 800004016
|
sft/qwen38-distill-step8032/frozen-model-00032.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:93a3221e8109152b97584401458ad79a98fa5c9e19a5ac6905ed54b66bb309fd
|
| 3 |
+
size 800004016
|
sft/qwen38-distill-step8032/frozen-model-00033.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:af5d0023a429720affd63daf7e5a71f36317e808739c5d462c23b3ed3a2c8e51
|
| 3 |
+
size 800004016
|
sft/qwen38-distill-step8032/frozen-model-00034.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c446c3af607685d6331f552c3a4a298b17df648c584c8fd04577376873806018
|
| 3 |
+
size 800004016
|
sft/qwen38-distill-step8032/frozen-model-00035.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:55c080f048828c0866816df1907532c527ccd27036688bf91483c504f1711fb9
|
| 3 |
+
size 800004016
|
sft/qwen38-distill-step8032/frozen-model-00036.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7ac8f72e51ac86dcbabd0aebef8538c4e28038eb1ffc0332dcd1a2926cc71420
|
| 3 |
+
size 800004016
|
sft/qwen38-distill-step8032/frozen-model-00037.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fd6deecd49b77e8e88423e21ae2042f0f4ff675c2eb3fbce88e526a899488613
|
| 3 |
+
size 800004016
|
sft/qwen38-distill-step8032/frozen-model-00038.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0020a3ae064fa7163dd9928fd86fe35d6617534695cd70cec2e15f1ad49efd06
|
| 3 |
+
size 800004016
|
sft/qwen38-distill-step8032/frozen-model-00039.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c51b84fcd68d865e738d96d006d1873b6f5efa425101ce33915fc34520763a19
|
| 3 |
+
size 800004016
|
sft/qwen38-distill-step8032/frozen-model-00040.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b5c92f45a0d9e33b42dec46f841df836569e20f155603ef112ecf18b9bf8ac2f
|
| 3 |
+
size 800004016
|
sft/qwen38-distill-step8032/frozen-model-00041.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a4d913c6dad5f6768ab5ef48dfbb38586dc66fa75424b401ec6e604a266b6403
|
| 3 |
+
size 800004016
|
sft/qwen38-distill-step8032/frozen-model-00042.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2be4b40cbdf6264ead8820bc41f7b241d9984ab3d958285bfd2602126f87481b
|
| 3 |
+
size 800004016
|
sft/qwen38-distill-step8032/frozen-model-00043.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:87559f1aee2cd4d5d4e910de516b5a62ef529292ff02f0148a5dd08cff73ffc6
|
| 3 |
+
size 800004016
|
sft/qwen38-distill-step8032/frozen-model-00044.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:66a4b6467f4234c99066c30f170da70803cd3be3502ffd08dff156a1590ef47e
|
| 3 |
+
size 800004016
|
sft/qwen38-distill-step8032/frozen-model-00045.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
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