Instructions to use lmstudio-community/Qwen3-Coder-480B-A35B-Instruct-MLX-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lmstudio-community/Qwen3-Coder-480B-A35B-Instruct-MLX-8bit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="lmstudio-community/Qwen3-Coder-480B-A35B-Instruct-MLX-8bit") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("lmstudio-community/Qwen3-Coder-480B-A35B-Instruct-MLX-8bit") model = AutoModelForCausalLM.from_pretrained("lmstudio-community/Qwen3-Coder-480B-A35B-Instruct-MLX-8bit") 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=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - MLX
How to use lmstudio-community/Qwen3-Coder-480B-A35B-Instruct-MLX-8bit with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("lmstudio-community/Qwen3-Coder-480B-A35B-Instruct-MLX-8bit") prompt = "Write a story about Einstein" messages = [{"role": "user", "content": prompt}] prompt = tokenizer.apply_chat_template( messages, add_generation_prompt=True ) text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- vLLM
How to use lmstudio-community/Qwen3-Coder-480B-A35B-Instruct-MLX-8bit with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "lmstudio-community/Qwen3-Coder-480B-A35B-Instruct-MLX-8bit" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "lmstudio-community/Qwen3-Coder-480B-A35B-Instruct-MLX-8bit", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/lmstudio-community/Qwen3-Coder-480B-A35B-Instruct-MLX-8bit
- SGLang
How to use lmstudio-community/Qwen3-Coder-480B-A35B-Instruct-MLX-8bit 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 "lmstudio-community/Qwen3-Coder-480B-A35B-Instruct-MLX-8bit" \ --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": "lmstudio-community/Qwen3-Coder-480B-A35B-Instruct-MLX-8bit", "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 "lmstudio-community/Qwen3-Coder-480B-A35B-Instruct-MLX-8bit" \ --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": "lmstudio-community/Qwen3-Coder-480B-A35B-Instruct-MLX-8bit", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Pi
How to use lmstudio-community/Qwen3-Coder-480B-A35B-Instruct-MLX-8bit with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "lmstudio-community/Qwen3-Coder-480B-A35B-Instruct-MLX-8bit"
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "lmstudio-community/Qwen3-Coder-480B-A35B-Instruct-MLX-8bit" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use lmstudio-community/Qwen3-Coder-480B-A35B-Instruct-MLX-8bit with Hermes Agent:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "lmstudio-community/Qwen3-Coder-480B-A35B-Instruct-MLX-8bit"
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default lmstudio-community/Qwen3-Coder-480B-A35B-Instruct-MLX-8bit
Run Hermes
hermes
- OpenClaw new
How to use lmstudio-community/Qwen3-Coder-480B-A35B-Instruct-MLX-8bit with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "lmstudio-community/Qwen3-Coder-480B-A35B-Instruct-MLX-8bit"
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "lmstudio-community/Qwen3-Coder-480B-A35B-Instruct-MLX-8bit" \ --custom-provider-id mlx-lm \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
- MLX LM
How to use lmstudio-community/Qwen3-Coder-480B-A35B-Instruct-MLX-8bit with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "lmstudio-community/Qwen3-Coder-480B-A35B-Instruct-MLX-8bit"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "lmstudio-community/Qwen3-Coder-480B-A35B-Instruct-MLX-8bit" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "lmstudio-community/Qwen3-Coder-480B-A35B-Instruct-MLX-8bit", "messages": [ {"role": "user", "content": "Hello"} ] }' - Docker Model Runner
How to use lmstudio-community/Qwen3-Coder-480B-A35B-Instruct-MLX-8bit with Docker Model Runner:
docker model run hf.co/lmstudio-community/Qwen3-Coder-480B-A35B-Instruct-MLX-8bit
Add files using upload-large-folder tool
Browse files- .gitattributes +1 -0
- README.md +28 -0
- added_tokens.json +28 -0
- chat_template.jinja +131 -0
- config.json +47 -0
- generation_config.json +12 -0
- merges.txt +0 -0
- model-00001-of-00109.safetensors +3 -0
- model-00004-of-00109.safetensors +3 -0
- model-00008-of-00109.safetensors +3 -0
- model-00011-of-00109.safetensors +3 -0
- model-00015-of-00109.safetensors +3 -0
- model-00018-of-00109.safetensors +3 -0
- model-00022-of-00109.safetensors +3 -0
- model-00032-of-00109.safetensors +3 -0
- model-00036-of-00109.safetensors +3 -0
- model-00039-of-00109.safetensors +3 -0
- model-00042-of-00109.safetensors +3 -0
- model-00046-of-00109.safetensors +3 -0
- model-00047-of-00109.safetensors +3 -0
- model-00049-of-00109.safetensors +3 -0
- model-00050-of-00109.safetensors +3 -0
- model-00056-of-00109.safetensors +3 -0
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- model-00109-of-00109.safetensors +3 -0
- model.safetensors.index.json +0 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +240 -0
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---
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library_name: transformers
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license: apache-2.0
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license_link: https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct/blob/main/LICENSE
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pipeline_tag: text-generation
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tags:
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- mlx
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base_model: Qwen/Qwen3-Coder-480B-A35B-Instruct
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---
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## 💫 Community Model> Qwen3-Coder-480B-A35B-Instruct by Qwen
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_👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)_.
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**Model creator**: [Qwen](https://huggingface.co/Qwen)<br>
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**Original model**: [Qwen3-Coder-480B-A35B-Instruct](https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct)<br>
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**MLX quantization**: provided by [LM Studio team](https://x.com/lmstudio) using [mlx_lm](https://github.com/ml-explore/mlx-lm)<br>
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## Technical Details
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8-bit quantized version of Qwen3-Coder-480B-A35B-Instruct using MLX, optimized for Apple Silicon.
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## Special thanks
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🙏 Special thanks to the [Apple Machine Learning Research](https://github.com/ml-explore) team for creating [MLX](https://github.com/ml-explore/mlx).
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## Disclaimers
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LM Studio is not the creator, originator, or owner of any Model featured in the Community Model Program. Each Community Model is created and provided by third parties. LM Studio does not endorse, support, represent or guarantee the completeness, truthfulness, accuracy, or reliability of any Community Model. You understand that Community Models can produce content that might be offensive, harmful, inaccurate or otherwise inappropriate, or deceptive. Each Community Model is the sole responsibility of the person or entity who originated such Model. LM Studio may not monitor or control the Community Models and cannot, and does not, take responsibility for any such Model. LM Studio disclaims all warranties or guarantees about the accuracy, reliability or benefits of the Community Models. LM Studio further disclaims any warranty that the Community Model will meet your requirements, be secure, uninterrupted or available at any time or location, or error-free, viruses-free, or that any errors will be corrected, or otherwise. You will be solely responsible for any damage resulting from your use of or access to the Community Models, your downloading of any Community Model, or use of any other Community Model provided by or through LM Studio.
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{
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}
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{% macro render_item_list(item_list, tag_name='required') %}
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{%- if item_list is defined and item_list is iterable and item_list | length > 0 %}
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{%- if tag_name %}{{- '\n<' ~ tag_name ~ '>' -}}{% endif %}
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{{- '[' }}
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{%- for item in item_list -%}
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{%- if loop.index > 1 %}{{- ", "}}{% endif -%}
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{%- if item is string -%}
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{{ "`" ~ item ~ "`" }}
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{%- else -%}
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{{ item }}
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{%- endif -%}
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{%- endfor -%}
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{{- ']' }}
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{%- if tag_name %}{{- '</' ~ tag_name ~ '>' -}}{% endif %}
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{%- endif %}
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{% endmacro %}
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{%- if messages[0]["role"] == "system" %}
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{%- set system_message = messages[0]["content"] %}
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{%- set loop_messages = messages[1:] %}
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{%- else %}
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{%- set loop_messages = messages %}
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{%- endif %}
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{%- if not tools is defined %}
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{%- set tools = [] %}
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{%- endif %}
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{%- if system_message is defined %}
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{{- "<|im_start|>system\n" + system_message }}
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{%- else %}
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{%- if tools is iterable and tools | length > 0 %}
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{{- "<|im_start|>system\nYou are Qwen, a helpful AI assistant that can interact with a computer to solve tasks." }}
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{%- endif %}
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{%- endif %}
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{%- if tools is iterable and tools | length > 0 %}
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{{- "\n\nYou have access to the following functions:\n\n" }}
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{{- "<tools>" }}
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{%- for tool in tools %}
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{%- if tool.function is defined %}
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{%- set tool = tool.function %}
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{%- endif %}
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{{- "\n<function>\n<name>" ~ tool.name ~ "</name>" }}
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{{- '\n<description>' ~ (tool.description | trim) ~ '</description>' }}
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{{- '\n<parameters>' }}
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{%- for param_name, param_fields in tool.parameters.properties|items %}
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{{- '\n<parameter>' }}
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| 48 |
+
{{- '\n<name>' ~ param_name ~ '</name>' }}
|
| 49 |
+
{%- if param_fields.type is defined %}
|
| 50 |
+
{{- '\n<type>' ~ (param_fields.type | string) ~ '</type>' }}
|
| 51 |
+
{%- endif %}
|
| 52 |
+
{%- if param_fields.description is defined %}
|
| 53 |
+
{{- '\n<description>' ~ (param_fields.description | trim) ~ '</description>' }}
|
| 54 |
+
{%- endif %}
|
| 55 |
+
{{- render_item_list(param_fields.enum, 'enum') }}
|
| 56 |
+
{%- set handled_keys = ['type', 'description', 'enum', 'required'] %}
|
| 57 |
+
{%- for json_key in param_fields.keys() | reject("in", handled_keys) %}
|
| 58 |
+
{%- set normed_json_key = json_key | replace("-", "_") | replace(" ", "_") | replace("$", "") %}
|
| 59 |
+
{%- if param_fields[json_key] is mapping %}
|
| 60 |
+
{{- '\n<' ~ normed_json_key ~ '>' ~ (param_fields[json_key] | tojson | safe) ~ '</' ~ normed_json_key ~ '>' }}
|
| 61 |
+
{%- else %}
|
| 62 |
+
{{-'\n<' ~ normed_json_key ~ '>' ~ (param_fields[json_key] | string) ~ '</' ~ normed_json_key ~ '>' }}
|
| 63 |
+
{%- endif %}
|
| 64 |
+
{%- endfor %}
|
| 65 |
+
{{- render_item_list(param_fields.required, 'required') }}
|
| 66 |
+
{{- '\n</parameter>' }}
|
| 67 |
+
{%- endfor %}
|
| 68 |
+
{{- render_item_list(tool.parameters.required, 'required') }}
|
| 69 |
+
{{- '\n</parameters>' }}
|
| 70 |
+
{%- if tool.return is defined %}
|
| 71 |
+
{%- if tool.return is mapping %}
|
| 72 |
+
{{- '\n<return>' ~ (tool.return | tojson | safe) ~ '</return>' }}
|
| 73 |
+
{%- else %}
|
| 74 |
+
{{- '\n<return>' ~ (tool.return | string) ~ '</return>' }}
|
| 75 |
+
{%- endif %}
|
| 76 |
+
{%- endif %}
|
| 77 |
+
{{- '\n</function>' }}
|
| 78 |
+
{%- endfor %}
|
| 79 |
+
{{- "\n</tools>" }}
|
| 80 |
+
{{- '\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>' }}
|
| 81 |
+
{%- endif %}
|
| 82 |
+
{%- if system_message is defined %}
|
| 83 |
+
{{- '<|im_end|>\n' }}
|
| 84 |
+
{%- else %}
|
| 85 |
+
{%- if tools is iterable and tools | length > 0 %}
|
| 86 |
+
{{- '<|im_end|>\n' }}
|
| 87 |
+
{%- endif %}
|
| 88 |
+
{%- endif %}
|
| 89 |
+
{%- for message in loop_messages %}
|
| 90 |
+
{%- if message.role == "assistant" and message.tool_calls is defined and message.tool_calls is iterable and message.tool_calls | length > 0 %}
|
| 91 |
+
{{- '<|im_start|>' + message.role }}
|
| 92 |
+
{%- if message.content is defined and message.content is string and message.content | trim | length > 0 %}
|
| 93 |
+
{{- '\n' + message.content | trim + '\n' }}
|
| 94 |
+
{%- endif %}
|
| 95 |
+
{%- for tool_call in message.tool_calls %}
|
| 96 |
+
{%- if tool_call.function is defined %}
|
| 97 |
+
{%- set tool_call = tool_call.function %}
|
| 98 |
+
{%- endif %}
|
| 99 |
+
{{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 100 |
+
{%- if tool_call.arguments is defined %}
|
| 101 |
+
{%- for args_name, args_value in tool_call.arguments|items %}
|
| 102 |
+
{{- '<parameter=' + args_name + '>\n' }}
|
| 103 |
+
{%- set args_value = args_value if args_value is string else args_value | string %}
|
| 104 |
+
{{- args_value }}
|
| 105 |
+
{{- '\n</parameter>\n' }}
|
| 106 |
+
{%- endfor %}
|
| 107 |
+
{%- endif %}
|
| 108 |
+
{{- '</function>\n</tool_call>' }}
|
| 109 |
+
{%- endfor %}
|
| 110 |
+
{{- '<|im_end|>\n' }}
|
| 111 |
+
{%- elif message.role == "user" or message.role == "system" or message.role == "assistant" %}
|
| 112 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 113 |
+
{%- elif message.role == "tool" %}
|
| 114 |
+
{%- if loop.previtem and loop.previtem.role != "tool" %}
|
| 115 |
+
{{- '<|im_start|>user\n' }}
|
| 116 |
+
{%- endif %}
|
| 117 |
+
{{- '<tool_response>\n' }}
|
| 118 |
+
{{- message.content }}
|
| 119 |
+
{{- '\n</tool_response>\n' }}
|
| 120 |
+
{%- if not loop.last and loop.nextitem.role != "tool" %}
|
| 121 |
+
{{- '<|im_end|>\n' }}
|
| 122 |
+
{%- elif loop.last %}
|
| 123 |
+
{{- '<|im_end|>\n' }}
|
| 124 |
+
{%- endif %}
|
| 125 |
+
{%- else %}
|
| 126 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>\n' }}
|
| 127 |
+
{%- endif %}
|
| 128 |
+
{%- endfor %}
|
| 129 |
+
{%- if add_generation_prompt %}
|
| 130 |
+
{{- '<|im_start|>assistant\n' }}
|
| 131 |
+
{%- endif %}
|
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3MoeForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_dropout": 0.0,
|
| 6 |
+
"decoder_sparse_step": 1,
|
| 7 |
+
"eos_token_id": 151645,
|
| 8 |
+
"head_dim": 128,
|
| 9 |
+
"hidden_act": "silu",
|
| 10 |
+
"hidden_size": 6144,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 8192,
|
| 13 |
+
"max_position_embeddings": 262144,
|
| 14 |
+
"max_window_layers": 62,
|
| 15 |
+
"mlp_only_layers": [],
|
| 16 |
+
"model_type": "qwen3_moe",
|
| 17 |
+
"moe_intermediate_size": 2560,
|
| 18 |
+
"norm_topk_prob": true,
|
| 19 |
+
"num_attention_heads": 96,
|
| 20 |
+
"num_experts": 160,
|
| 21 |
+
"num_experts_per_tok": 8,
|
| 22 |
+
"num_hidden_layers": 62,
|
| 23 |
+
"num_key_value_heads": 8,
|
| 24 |
+
"output_router_logits": false,
|
| 25 |
+
"qkv_bias": false,
|
| 26 |
+
"quantization": {
|
| 27 |
+
"group_size": 64,
|
| 28 |
+
"bits": 8
|
| 29 |
+
},
|
| 30 |
+
"quantization_config": {
|
| 31 |
+
"group_size": 64,
|
| 32 |
+
"bits": 8
|
| 33 |
+
},
|
| 34 |
+
"rms_norm_eps": 1e-06,
|
| 35 |
+
"rope_scaling": null,
|
| 36 |
+
"rope_theta": 10000000,
|
| 37 |
+
"router_aux_loss_coef": 0.0,
|
| 38 |
+
"shared_expert_intermediate_size": 0,
|
| 39 |
+
"sliding_window": null,
|
| 40 |
+
"tie_word_embeddings": false,
|
| 41 |
+
"torch_dtype": "bfloat16",
|
| 42 |
+
"transformers_version": "4.51.0",
|
| 43 |
+
"use_cache": true,
|
| 44 |
+
"use_qk_norm": true,
|
| 45 |
+
"use_sliding_window": false,
|
| 46 |
+
"vocab_size": 151936
|
| 47 |
+
}
|
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"pad_token_id": 151643,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": [
|
| 5 |
+
151645,
|
| 6 |
+
151643
|
| 7 |
+
],
|
| 8 |
+
"repetition_penalty": 1.05,
|
| 9 |
+
"temperature": 0.7,
|
| 10 |
+
"top_p": 0.8,
|
| 11 |
+
"top_k": 20
|
| 12 |
+
}
|
|
The diff for this file is too large to render.
See raw diff
|
|
|
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| 148 |
+
},
|
| 149 |
+
"151661": {
|
| 150 |
+
"content": "<|fim_suffix|>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
+
"normalized": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"single_word": false,
|
| 155 |
+
"special": false
|
| 156 |
+
},
|
| 157 |
+
"151662": {
|
| 158 |
+
"content": "<|fim_pad|>",
|
| 159 |
+
"lstrip": false,
|
| 160 |
+
"normalized": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
+
"special": false
|
| 164 |
+
},
|
| 165 |
+
"151663": {
|
| 166 |
+
"content": "<|repo_name|>",
|
| 167 |
+
"lstrip": false,
|
| 168 |
+
"normalized": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"single_word": false,
|
| 171 |
+
"special": false
|
| 172 |
+
},
|
| 173 |
+
"151664": {
|
| 174 |
+
"content": "<|file_sep|>",
|
| 175 |
+
"lstrip": false,
|
| 176 |
+
"normalized": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": false
|
| 180 |
+
},
|
| 181 |
+
"151665": {
|
| 182 |
+
"content": "<tool_response>",
|
| 183 |
+
"lstrip": false,
|
| 184 |
+
"normalized": false,
|
| 185 |
+
"rstrip": false,
|
| 186 |
+
"single_word": false,
|
| 187 |
+
"special": false
|
| 188 |
+
},
|
| 189 |
+
"151666": {
|
| 190 |
+
"content": "</tool_response>",
|
| 191 |
+
"lstrip": false,
|
| 192 |
+
"normalized": false,
|
| 193 |
+
"rstrip": false,
|
| 194 |
+
"single_word": false,
|
| 195 |
+
"special": false
|
| 196 |
+
},
|
| 197 |
+
"151667": {
|
| 198 |
+
"content": "<think>",
|
| 199 |
+
"lstrip": false,
|
| 200 |
+
"normalized": false,
|
| 201 |
+
"rstrip": false,
|
| 202 |
+
"single_word": false,
|
| 203 |
+
"special": false
|
| 204 |
+
},
|
| 205 |
+
"151668": {
|
| 206 |
+
"content": "</think>",
|
| 207 |
+
"lstrip": false,
|
| 208 |
+
"normalized": false,
|
| 209 |
+
"rstrip": false,
|
| 210 |
+
"single_word": false,
|
| 211 |
+
"special": false
|
| 212 |
+
}
|
| 213 |
+
},
|
| 214 |
+
"additional_special_tokens": [
|
| 215 |
+
"<|im_start|>",
|
| 216 |
+
"<|im_end|>",
|
| 217 |
+
"<|object_ref_start|>",
|
| 218 |
+
"<|object_ref_end|>",
|
| 219 |
+
"<|box_start|>",
|
| 220 |
+
"<|box_end|>",
|
| 221 |
+
"<|quad_start|>",
|
| 222 |
+
"<|quad_end|>",
|
| 223 |
+
"<|vision_start|>",
|
| 224 |
+
"<|vision_end|>",
|
| 225 |
+
"<|vision_pad|>",
|
| 226 |
+
"<|image_pad|>",
|
| 227 |
+
"<|video_pad|>"
|
| 228 |
+
],
|
| 229 |
+
"bos_token": null,
|
| 230 |
+
"clean_up_tokenization_spaces": false,
|
| 231 |
+
"eos_token": "<|im_end|>",
|
| 232 |
+
"errors": "replace",
|
| 233 |
+
"extra_special_tokens": {},
|
| 234 |
+
"model_max_length": 1048576,
|
| 235 |
+
"pad_token": "<|endoftext|>",
|
| 236 |
+
"split_special_tokens": false,
|
| 237 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 238 |
+
"unk_token": null,
|
| 239 |
+
"chat_template": "{% macro render_item_list(item_list, tag_name='required') %}\n {%- if item_list is defined and item_list is iterable and item_list | length > 0 %}\n {%- if tag_name %}{{- '\\n<' ~ tag_name ~ '>' -}}{% endif %}\n {{- '[' }}\n {%- for item in item_list -%}\n {%- if loop.index > 1 %}{{- \", \"}}{% endif -%}\n {%- if item is string -%}\n {{ \"`\" ~ item ~ \"`\" }}\n {%- else -%}\n {{ item }}\n {%- endif -%}\n {%- endfor -%}\n {{- ']' }}\n {%- if tag_name %}{{- '</' ~ tag_name ~ '>' -}}{% endif %}\n {%- endif %}\n{% endmacro %}\n\n{%- if messages[0][\"role\"] == \"system\" %}\n {%- set system_message = messages[0][\"content\"] %}\n {%- set loop_messages = messages[1:] %}\n{%- else %}\n {%- set loop_messages = messages %}\n{%- endif %}\n\n{%- if not tools is defined %}\n {%- set tools = [] %}\n{%- endif %}\n\n{%- if system_message is defined %}\n {{- \"<|im_start|>system\\n\" + system_message }}\n{%- else %}\n {%- if tools is iterable and tools | length > 0 %}\n {{- \"<|im_start|>system\\nYou are Qwen, a helpful AI assistant that can interact with a computer to solve tasks.\" }}\n {%- endif %}\n{%- endif %}\n{%- if tools is iterable and tools | length > 0 %}\n {{- \"\\n\\nYou have access to the following functions:\\n\\n\" }}\n {{- \"<tools>\" }}\n {%- for tool in tools %}\n {%- if tool.function is defined %}\n {%- set tool = tool.function %}\n {%- endif %}\n {{- \"\\n<function>\\n<name>\" ~ tool.name ~ \"</name>\" }}\n {{- '\\n<description>' ~ (tool.description | trim) ~ '</description>' }}\n {{- '\\n<parameters>' }}\n {%- for param_name, param_fields in tool.parameters.properties|items %}\n {{- '\\n<parameter>' }}\n {{- '\\n<name>' ~ param_name ~ '</name>' }}\n {%- if param_fields.type is defined %}\n {{- '\\n<type>' ~ (param_fields.type | string) ~ '</type>' }}\n {%- endif %}\n {%- if param_fields.description is defined %}\n {{- '\\n<description>' ~ (param_fields.description | trim) ~ '</description>' }}\n {%- endif %}\n {{- render_item_list(param_fields.enum, 'enum') }}\n {%- set handled_keys = ['type', 'description', 'enum', 'required'] %}\n {%- for json_key in param_fields.keys() | reject(\"in\", handled_keys) %}\n {%- set normed_json_key = json_key | replace(\"-\", \"_\") | replace(\" \", \"_\") | replace(\"$\", \"\") %}\n {%- if param_fields[json_key] is mapping %}\n {{- '\\n<' ~ normed_json_key ~ '>' ~ (param_fields[json_key] | tojson | safe) ~ '</' ~ normed_json_key ~ '>' }}\n {%- else %}\n {{-'\\n<' ~ normed_json_key ~ '>' ~ (param_fields[json_key] | string) ~ '</' ~ normed_json_key ~ '>' }}\n {%- endif %}\n {%- endfor %}\n {{- render_item_list(param_fields.required, 'required') }}\n {{- '\\n</parameter>' }}\n {%- endfor %}\n {{- render_item_list(tool.parameters.required, 'required') }}\n {{- '\\n</parameters>' }}\n {%- if tool.return is defined %}\n {%- if tool.return is mapping %}\n {{- '\\n<return>' ~ (tool.return | tojson | safe) ~ '</return>' }}\n {%- else %}\n {{- '\\n<return>' ~ (tool.return | string) ~ '</return>' }}\n {%- endif %}\n {%- endif %}\n {{- '\\n</function>' }}\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{%- endif %}\n{%- if system_message is defined %}\n {{- '<|im_end|>\\n' }}\n{%- else %}\n {%- if tools is iterable and tools | length > 0 %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in loop_messages %}\n {%- if message.role == \"assistant\" and message.tool_calls is defined and message.tool_calls is iterable and message.tool_calls | length > 0 %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content is defined and message.content is string and message.content | trim | length > 0 %}\n {{- '\\n' + message.content | trim + '\\n' }}\n {%- endif %}\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 {{- '\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n {%- if tool_call.arguments is defined %}\n {%- for args_name, args_value in tool_call.arguments|items %}\n {{- '<parameter=' + args_name + '>\\n' }}\n {%- set args_value = args_value if args_value is string else args_value | string %}\n {{- args_value }}\n {{- '\\n</parameter>\\n' }}\n {%- endfor %}\n {%- endif %}\n {{- '</function>\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"user\" or message.role == \"system\" or message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.previtem and loop.previtem.role != \"tool\" %}\n {{- '<|im_start|>user\\n' }}\n {%- endif %}\n {{- '<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>\\n' }}\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 {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n"
|
| 240 |
+
}
|