Text Generation
MLX
Safetensors
English
qwen3
aro
code-generation
dsl
4-bit precision
lora
fine-tuned
conversational
Instructions to use ARO-Lang/aro-coder-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use ARO-Lang/aro-coder-4bit 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("ARO-Lang/aro-coder-4bit") 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
- LM Studio
- Pi new
How to use ARO-Lang/aro-coder-4bit with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "ARO-Lang/aro-coder-4bit"
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": "ARO-Lang/aro-coder-4bit" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use ARO-Lang/aro-coder-4bit 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 "ARO-Lang/aro-coder-4bit"
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 ARO-Lang/aro-coder-4bit
Run Hermes
hermes
- MLX LM
How to use ARO-Lang/aro-coder-4bit with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "ARO-Lang/aro-coder-4bit"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "ARO-Lang/aro-coder-4bit" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ARO-Lang/aro-coder-4bit", "messages": [ {"role": "user", "content": "Hello"} ] }'
Upload ARO Coder 4-bit (distill_student)
Browse files- .source_model +1 -1
- README.md +4 -4
- chat_template.jinja +65 -111
- config.json +15 -411
- model.safetensors +3 -0
- model.safetensors.index.json +0 -0
- tokenizer_config.json +2 -2
.source_model
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/Users/kris/Projects/ARO/ARO-Train/Train/models/
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README.md
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| **Base model** | [mlx-community/Qwen3-Coder-30B-A3B-Instruct-4bit](https://huggingface.co/mlx-community/Qwen3-Coder-30B-A3B-Instruct-4bit) |
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| **Quantization** | 4-bit (MLX) |
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| **Language** | ARO |
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| **Training samples** |
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## Links
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This model was trained with the ARO training pipeline:
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1. **Corpus collection** —
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2. **Supervised fine-tuning** — LoRA on all code generation, debugging, Q&A, and explanation tasks
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3. **DPO preference training** — using `aro check` validation to build chosen/rejected pairs
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4. **Iterative self-improvement** — multiple rounds of generate-validate-retrain
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| **Base model** | [mlx-community/Qwen3-Coder-30B-A3B-Instruct-4bit](https://huggingface.co/mlx-community/Qwen3-Coder-30B-A3B-Instruct-4bit) |
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| **Quantization** | 4-bit (MLX) |
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| **Language** | ARO |
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| **Training samples** | 777 |
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| **Syntax pass rate** | 30% |
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| **Source label** | distill_student |
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## Links
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This model was trained with the ARO training pipeline:
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1. **Corpus collection** — 777 samples from Examples, Book, Wiki, Proposals, and real-world ARO applications
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2. **Supervised fine-tuning** — LoRA on all code generation, debugging, Q&A, and explanation tasks
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3. **DPO preference training** — using `aro check` validation to build chosen/rejected pairs
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4. **Iterative self-improvement** — multiple rounds of generate-validate-retrain
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chat_template.jinja
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{%- else %}
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{%- endfor %}
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{%- endif %}
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{{- '\n</function>' }}
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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 system_message is defined %}
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{{- '<|im_end|>\n' }}
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{%- if tools is iterable and tools | length > 0 %}
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{{- '<|im_end|>\n' }}
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{%- for message in loop_messages %}
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{%- if message.role == "assistant" and message.tool_calls is defined and message.tool_calls is iterable and message.tool_calls | length > 0 %}
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{{- '<|im_start|>' + message.role }}
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{%- if message.content is defined and message.content is string and message.content | trim | length > 0 %}
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{%- endif %}
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{%- for tool_call in message.tool_calls %}
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{%- for args_name, args_value in tool_call.arguments|items %}
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{{- '<parameter=' + args_name + '>\n' }}
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{%- set args_value = args_value if args_value is string else args_value | string %}
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{{- args_value }}
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{{- '\n</parameter>\n' }}
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{%- endfor %}
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{%- endif %}
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{{- '</function>\n</tool_call>' }}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "user" or message.role == "system" or message.role == "assistant" %}
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "tool" %}
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{%- if loop.
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{{- '<|im_start|>user
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{{- '<tool_response>\n' }}
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{{- message.content }}
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{{- '\n</tool_response>
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{%- if
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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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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>\n' }}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- if messages[0].role == 'system' %}
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{{- messages[0].content + '\n\n' }}
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{%- endif %}
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{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\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>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- for message in messages[::-1] %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- if ns.multi_step_tool and message.role == "user" and not(message.content.startswith('<tool_response>') and message.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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{%- endfor %}
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{%- for message in messages %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set content = message.content %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is defined and message.reasoning_content is not none %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in message.content %}
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{%- set content = message.content.split('</think>')[-1].lstrip('\n') %}
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{%- set reasoning_content = message.content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- if loop.index0 > ns.last_query_index %}
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{%- if loop.last or (not loop.last and reasoning_content) %}
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- if message.tool_calls %}
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{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and content) or (not loop.first) %}
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{{- '\n' }}
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{%- endif %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{%- if tool_call.arguments is string %}
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{{- tool_call.arguments }}
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{%- else %}
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{{- tool_call.arguments | tojson }}
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{%- endif %}
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{{- '}\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.first or (messages[loop.index0 - 1].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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{{- message.content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- if enable_thinking is defined and enable_thinking is false %}
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{{- '<think>\n\n</think>\n\n' }}
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{%- endif %}
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{%- endif %}
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config.json
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{
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"architectures": [
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"attention_dropout": 0.0,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size":
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"initializer_range": 0.02,
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"max_window_layers":
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"model_type": "qwen3_moe",
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"moe_intermediate_size": 768,
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"norm_topk_prob": true,
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"num_attention_heads": 32,
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"
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| 24 |
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| 1 |
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|
| 14 |
+
"max_position_embeddings": 40960,
|
| 15 |
+
"max_window_layers": 36,
|
| 16 |
+
"model_type": "qwen3",
|
|
|
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|
| 17 |
"num_attention_heads": 32,
|
| 18 |
+
"num_hidden_layers": 36,
|
| 19 |
+
"num_key_value_heads": 8,
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|
| 20 |
"quantization": {
|
| 21 |
"group_size": 64,
|
| 22 |
+
"bits": 4
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|
| 23 |
},
|
| 24 |
"quantization_config": {
|
| 25 |
"group_size": 64,
|
| 26 |
+
"bits": 4
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|
|
| 27 |
},
|
| 28 |
"rms_norm_eps": 1e-06,
|
| 29 |
"rope_scaling": null,
|
| 30 |
+
"rope_theta": 1000000,
|
|
|
|
|
|
|
| 31 |
"sliding_window": null,
|
| 32 |
"tie_word_embeddings": false,
|
| 33 |
"torch_dtype": "bfloat16",
|
| 34 |
+
"transformers_version": "4.51.0",
|
| 35 |
"use_cache": true,
|
|
|
|
| 36 |
"use_sliding_window": false,
|
| 37 |
"vocab_size": 151936
|
| 38 |
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6795684e67d21c9463e679f00e3f2d079a00f1fd028d6c1cc0a31899f521d918
|
| 3 |
+
size 4607835164
|
model.safetensors.index.json
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
CHANGED
|
@@ -6,10 +6,10 @@
|
|
| 6 |
"eos_token": "<|im_end|>",
|
| 7 |
"errors": "replace",
|
| 8 |
"is_local": true,
|
| 9 |
-
"model_max_length":
|
| 10 |
"pad_token": "<|endoftext|>",
|
| 11 |
"split_special_tokens": false,
|
| 12 |
"tokenizer_class": "Qwen2Tokenizer",
|
| 13 |
-
"tool_parser_type": "
|
| 14 |
"unk_token": null
|
| 15 |
}
|
|
|
|
| 6 |
"eos_token": "<|im_end|>",
|
| 7 |
"errors": "replace",
|
| 8 |
"is_local": true,
|
| 9 |
+
"model_max_length": 131072,
|
| 10 |
"pad_token": "<|endoftext|>",
|
| 11 |
"split_special_tokens": false,
|
| 12 |
"tokenizer_class": "Qwen2Tokenizer",
|
| 13 |
+
"tool_parser_type": "json_tools",
|
| 14 |
"unk_token": null
|
| 15 |
}
|