| --- |
| license: apache-2.0 |
| language: |
| - en |
| base_model: |
| - Qwen/Qwen2.5-Coder-1.5B |
| pipeline_tag: text-generation |
| library_name: transformers |
| tags: |
| - coder |
| - mini |
| - reasoning |
| - o1 |
| --- |
| |
| # Coder-o1-mini-reasoning |
|
|
| A compact Python-focused reasoning model designed for coding assistance, debugging, code explanation, math reasoning, logic reasoning, Python concept explanation, and tool-style web search workflows. |
|
|
| The model is intended for lightweight assistant use cases where users need clear explanations, step-by-step reasoning, beginner-friendly Python help, and practical debugging support. |
|
|
| --- |
|
|
| ## Capabilities |
|
|
| This model can help with: |
|
|
| * Python coding assistance |
| * Python code explanation |
| * Python debugging and error fixing |
| * Python concept explanation |
| * Basic to intermediate competitive programming |
| * Math reasoning |
| * Logic reasoning |
| * Beginner-friendly programming guidance |
| * General chat |
| * Web search tool-call style conversations |
| * Multi-turn coding discussion |
|
|
| --- |
|
|
| ## Chat Format |
|
|
| The model follows a Harmony-style chat structure. |
|
|
| Supported interaction flow: |
|
|
| ```text |
| system -> developer -> user -> reasoning -> tool call -> tool result -> final response |
| ``` |
|
|
| For normal chat or coding use, you can use a standard chat-template style prompt. |
|
|
| --- |
|
|
| ## Basic Usage |
|
|
| ```python |
| import torch |
| from transformers import AutoTokenizer, AutoModelForCausalLM |
| |
| MODEL_PATH = "kd13/Coder-o1-mini-reasoning" |
| |
| tok = AutoTokenizer.from_pretrained(MODEL_PATH, trust_remote_code=True) |
| model = AutoModelForCausalLM.from_pretrained( |
| MODEL_PATH, |
| torch_dtype=torch.float16, |
| device_map="auto", |
| trust_remote_code=True |
| ) |
| model.eval() |
| |
| if tok.pad_token is None: |
| tok.pad_token = tok.eos_token |
| |
| IM_END_ID = tok.convert_tokens_to_ids("<|im_end|>") |
| if IM_END_ID is None or IM_END_ID == tok.unk_token_id: |
| IM_END_ID = tok.eos_token_id |
| ``` |
|
|
| --- |
|
|
| ## Web Search Tool-Call Style |
|
|
| The model can be used in tool-calling style conversations where the assistant decides when search is needed, emits a tool call, receives a tool result, and then writes the final answer. |
|
|
| Example structure: |
|
|
| ```text |
| system: You are a helpful assistant with access to web search. |
| user: Find the latest information about a topic. |
| assistant reasoning: Decide whether search is needed. |
| assistant tool call: search(...) |
| tool result: ... |
| assistant final: Answer using the search result. |
| ``` |
|
|
| Actual tool execution depends on your inference framework or application wrapper. |
|
|
| --- |
|
|
| ## Recommended Use Cases |
|
|
| This model is best suited for: |
|
|
| * Python learning assistants |
| * Coding tutor apps |
| * Debugging helpers |
| * Interview preparation |
| * Beginner-to-intermediate Python problem solving |
| * Math and logic explanation |
| * Lightweight reasoning chatbots |
| * Tool-call research experiments |
|
|
| --- |
|
|
| ## Limitations |
|
|
| This model is not recommended for: |
|
|
| * Very hard competitive programming problems |
| * Advanced game theory problems |
| * Complex graph theory or math-heavy algorithmic tasks |
| * Production-critical software generation without review |
| * Non-Python coding tasks such as C++, Java, Rust, Go, or JavaScript |
| * Security-sensitive code generation |
| * Medical, legal, or financial decision-making |
| * Long multi-file software engineering tasks |
|
|
| The model may sometimes: |
|
|
| * Produce incorrect reasoning |
| * Miss edge cases |
| * Over-explain simple problems |
| * Generate code that needs testing |
| * Struggle with very long context |
| * Use tool-call format inconsistently depending on the prompt |
|
|
| Always test generated code before using it. |
|
|
| --- |
|
|
| ## License |
|
|
| Please check the model repository license before commercial or production use. |
|
|
| --- |
|
|
| ## Disclaimer |
|
|
| This model is an experimental small reasoning and coding assistant. It should be used as a helpful assistant, not as a guaranteed source of truth. For important tasks, verify outputs with tests, documentation, and human review. |
