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Model: micymike/codemate-qwen-1.5B-8k Source: Original Platform
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57
README.md
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README.md
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---
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license: apache-2.0
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base_model: micymike/codemate-qwen-1.5B
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tags:
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- text-generation
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- coding
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- conversational
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- python
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- react
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- unsloth
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pipeline_tag: text-generation
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library_name: transformers
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language:
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- en
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---
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# CodeMate-Qwen-1.5B-8k 🚀
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CodeMate-Qwen-1.5B-8k is a multi-turn, conversational coding assistant built on top of `micymike/codemate-qwen-1.5B`.
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This iteration specifically resolves two critical limitations found in the previous model: it expands the core **Context Window to 8,192 tokens** using dynamic RoPE scaling, and it completely eliminates the prompt-repetition bug using targeted completion-only loss masking during Supervised Fine-Tuning (SFT).
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### Model Improvements 🛠️
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* **Extended Token Window:** Upgraded from 2,048 tokens to **8,192 tokens**, allowing it to read massive source code files and retain memory across deep, back-and-forth chat debug sessions.
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* **Prompt Echoing Fixed:** Trained natively using Hugging Face TRL's `completion_only_loss=True`. The model no longer mimics or repeats user instructions before outputting code.
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* **Bug-Fixing Specialization:** Fine-tuned on multi-turn code repair paths (`iamtarun/code_instructions_120k_alpaca`), teaching the model how to isolate programming syntax bugs, explain the root issues, and provide production-ready solutions without forgetting its baseline Python and ReactJS knowledge.
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### Chat Prompt Format (ChatML) 📝
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This model utilizes the standard ChatML prompt template structure. To prevent hallucination or parsing drops, structure your inference payloads like this:
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```text
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<|im_start|>user
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[Your Python or React coding/debugging prompt goes here]<|im_end|>
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<|im_start|>assistant
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```
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### Quickstart with Transformers 🐍
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_id = "micymike/codemate-qwen-1.5B-8k"
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model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto")
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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messages = [
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{"role": "user", "content": "Fix the bug in this React code where the state hook updates infinitely."}
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]
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inputs = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to("cuda")
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outputs = model.generate(inputs, max_new_tokens=1024, do_sample=True, temperature=0.3)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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```
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### Acknowledgements 🎓
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Special thanks to the [Unsloth AI](https://unsloth.ai) framework for enabling memory-efficient 8k attention matrix mapping directly inside standard consumer GPU runtimes.
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chat_template.jinja
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0]['role'] == 'system' %}
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{{- messages[0]['content'] }}
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{%- else %}
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{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
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{%- endif %}
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{{- "\n\n# 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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{%- else %}
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{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endif %}
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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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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{%- endfor %}
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{{- '<|im_end|>\n' }}
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{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
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{{- message.content }}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- endif %}
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config.json
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|
||||
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# 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>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\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\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\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{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n"
|
||||
}
|
||||
Reference in New Issue
Block a user