初始化项目，由ModelHub XC社区提供模型
Model: Mr-profik/Profik-AI-Coding Source: Original Platform
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199
README.md
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README.md
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---
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base_model:
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- huihui-ai/Huihui-Qwen3-4B-Thinking-2507-abliterated
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datasets:
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- Aquiles-ai/Athenea-Coding-100k
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license: apache-2.0
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tags:
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- code
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- agent
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- text-generation-inference
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- merge
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- uncensored
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- athenea
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language:
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- en
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- es
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pipeline_tag: text-generation
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library_name: transformers
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---
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<h1 align="center">Athenea-4B-Coding</h1>
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**Athenea-4B-Coding** is a fine-tuned version of [huihui-ai/Huihui-Qwen3-4B-Thinking-2507-abliterated](https://huggingface.co/huihui-ai/Huihui-Qwen3-4B-Thinking-2507-abliterated), specialized in **code reasoning, debugging, and problem solving**.
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Trained on high-quality programming data with explicit reasoning traces using `<think>` and `</think>` tags, the model is designed to perform detailed step-by-step reasoning for software development, algorithm design, and code comprehension tasks.
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> ⚠️ **Important Note:** This model uses an *abliterated (uncensored)* base version, providing full expressive freedom and unrestricted output generation. Users are fully responsible for any use or content produced by the model. It is intended exclusively for research and experimentation purposes.
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## 🎯 Model Description
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Athenea-4B-Coding extends Huihui-Qwen3’s structured reasoning capabilities into programming-related domains, showing strong performance on logical problem-solving, code completion, and debugging scenarios.
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Key features:
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* **Step-by-step code reasoning** within `<think>` blocks
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* **Specialization in algorithmic and debugging tasks**
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* **Uncensored output generation** for full reasoning visibility
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* **Improved logical consistency** through focused fine-tuning
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* **Compatible with open inference frameworks** (Transformers, vLLM, etc.)
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The model was fine-tuned using the dataset [Aquiles-ai/Athenea-Coding-100k](https://huggingface.co/datasets/Aquiles-ai/Athenea-Coding-100k), which includes diverse programming challenges, structured reasoning chains, and natural language explanations across multiple programming languages.
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> Note: Fine-tuning was performed using **Kronos**, Aquiles-ai’s proprietary enterprise fine-tuning system.
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## 💻 Usage
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### Installation
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```bash
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uv pip install transformers torch accelerate
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```
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### Basic Inference
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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model = AutoModelForCausalLM.from_pretrained("Aquiles-ai/Athenea-4B-Coding",
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dtype=torch.bfloat16,
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trust_remote_code=True,
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device_map="auto",
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attn_implementation="flash_attention_2") # Requires flash-attn
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# Without flash-attn:
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# model = AutoModelForCausalLM.from_pretrained("Aquiles-ai/Athenea-4B-Coding",
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# dtype="auto",
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# device_map="auto"
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# )
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tokenizer = AutoTokenizer.from_pretrained("Aquiles-ai/Athenea-4B-Coding", trust_remote_code=True)
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messages = [
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{"role": "user", "content": "Hey, write a Python function that calculates the factorial of a number recursively."}
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]
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inputs = tokenizer.apply_chat_template(
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messages,
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add_generation_prompt=True,
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tokenize=True,
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return_dict=True,
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return_tensors="pt",
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).to('cuda')
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with torch.no_grad():
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output = model.generate(
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**inputs,
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max_new_tokens=8092,
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pad_token_id=tokenizer.eos_token_id,
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eos_token_id=tokenizer.eos_token_id,
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)
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# Decode and print the output
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print(tokenizer.decode(output[0], skip_special_tokens=True))
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```
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### Streaming Inference
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer, TextIteratorStreamer
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import torch
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from threading import Thread
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model = AutoModelForCausalLM.from_pretrained("Aquiles-ai/Athenea-4B-Coding",
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dtype=torch.bfloat16,
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trust_remote_code=True,
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device_map="auto",
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attn_implementation="flash_attention_2")
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tokenizer = AutoTokenizer.from_pretrained("Aquiles-ai/Athenea-4B-Coding", trust_remote_code=True)
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messages = [
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{"role": "user", "content": "Hey, write a Python function that implements the binary search algorithm recursively."}
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]
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inputs = tokenizer.apply_chat_template(
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messages,
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add_generation_prompt=True,
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tokenize=True,
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return_dict=True,
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return_tensors="pt",
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).to('cuda')
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# Create the streamer
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streamer = TextIteratorStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)
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# Build kwargs for generate
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generate_kwargs = dict(
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**inputs,
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max_new_tokens=8092,
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pad_token_id=tokenizer.eos_token_id,
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eos_token_id=tokenizer.eos_token_id,
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streamer=streamer,
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)
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def _generate_thread(model, kwargs):
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with torch.no_grad():
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model.generate(**kwargs)
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thread = Thread(target=_generate_thread, args=(model, generate_kwargs))
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thread.start()
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for chunk in streamer:
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print(chunk, end="", flush=True)
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```
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### Production Deployment with vLLM
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**Start server:**
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```bash
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vllm serve Aquiles-ai/Athenea-4B-Coding \
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--host 0.0.0.0 \
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--port 8000 \
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--api-key dummyapikey \
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--max-model-len=16384 \
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--async-scheduling \
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--gpu-memory-utilization=0.90
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```
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**Request to the server from the OpenAI client:**
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```python
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from openai import OpenAI
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client = OpenAI(api_key="dummyapikey", base_url="http://127.0.0.1:8000/v1")
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stream = client.chat.completions.create(
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model="Aquiles-ai/Athenea-4B-Coding",
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messages=[{
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"role": "user",
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"content": "Hey, write a Python function that determines if a string is a palindrome, ignoring case, spaces, and punctuation."
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}],
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max_tokens=8092,
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stream=True
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)
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for chunk in stream:
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if chunk.choices[0].delta.content:
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print(chunk.choices[0].delta.content, end="", flush=True)
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```
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**vLLM Benefits:** 20-30x faster inference, OpenAI-compatible API, continuous batching, async scheduling.
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## Contact
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- **More about [Aquiles-ai](https://aquiles-ai.vercel.app)).**
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- **Aquiles-ai on [GitHub](https://github.com/Aquiles-ai).**
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||||
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- **Our collections at [HuggingFace](https://huggingface.co/Aquiles-ai/collections).**
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### Aquiles-playground
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In addition to code usage, you can also try our models locally through an [open-source playground on GitHub](https://github.com/Aquiles-ai/aquiles-playground).
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<p align="center">
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Made with ❤️ by <a href="https://github.com/Aquiles-ai">Aquiles-ai</a>
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</p>
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28
added_tokens.json
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added_tokens.json
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{
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"</think>": 151668,
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"</tool_call>": 151658,
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"</tool_response>": 151666,
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"<think>": 151667,
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"<tool_call>": 151657,
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"<tool_response>": 151665,
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"<|box_end|>": 151649,
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"<|box_start|>": 151648,
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"<|endoftext|>": 151643,
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"<|file_sep|>": 151664,
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"<|fim_middle|>": 151660,
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"<|fim_pad|>": 151662,
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"<|fim_prefix|>": 151659,
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"<|fim_suffix|>": 151661,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644,
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"<|image_pad|>": 151655,
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"<|object_ref_end|>": 151647,
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"<|object_ref_start|>": 151646,
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"<|quad_end|>": 151651,
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"<|quad_start|>": 151650,
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"<|repo_name|>": 151663,
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"<|video_pad|>": 151656,
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"<|vision_end|>": 151653,
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"<|vision_pad|>": 151654,
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"<|vision_start|>": 151652
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}
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atheneamodel.png
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atheneamodel.png
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version https://git-lfs.github.com/spec/v1
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oid sha256:8d1b9c6cd89b785f5ef3264a42c108c14f58daf25ea1f880a9fb9a7fd7f8dc5c
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size 447743
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86
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 + '\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 message.content is string 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.content is string %}
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{%- set content = message.content %}
|
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{%- else %}
|
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{%- set content = '' %}
|
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{%- endif %}
|
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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' + content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set reasoning_content = '' %}
|
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{%- if message.reasoning_content is string %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
|
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{%- if '</think>' in content %}
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{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- 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') }}
|
||||
{%- else %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + content }}
|
||||
{%- endif %}
|
||||
{%- else %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + content }}
|
||||
{%- endif %}
|
||||
{%- if message.tool_calls %}
|
||||
{%- for tool_call in message.tool_calls %}
|
||||
{%- if (loop.first and content) or (not loop.first) %}
|
||||
{{- '\n' }}
|
||||
{%- endif %}
|
||||
{%- if tool_call.function %}
|
||||
{%- set tool_call = tool_call.function %}
|
||||
{%- endif %}
|
||||
{{- '<tool_call>\n{"name": "' }}
|
||||
{{- tool_call.name }}
|
||||
{{- '", "arguments": ' }}
|
||||
{%- if tool_call.arguments is string %}
|
||||
{{- tool_call.arguments }}
|
||||
{%- else %}
|
||||
{{- tool_call.arguments | tojson }}
|
||||
{%- endif %}
|
||||
{{- '}\n</tool_call>' }}
|
||||
{%- endfor %}
|
||||
{%- endif %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- elif message.role == "tool" %}
|
||||
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
||||
{{- '<|im_start|>user' }}
|
||||
{%- endif %}
|
||||
{{- '\n<tool_response>\n' }}
|
||||
{{- content }}
|
||||
{{- '\n</tool_response>' }}
|
||||
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- if add_generation_prompt %}
|
||||
{{- '<|im_start|>assistant\n<think>\n' }}
|
||||
{%- endif %}
|
||||
68
config.json
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68
config.json
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{
|
||||
"architectures": [
|
||||
"Qwen3ForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"dtype": "bfloat16",
|
||||
"eos_token_id": 151645,
|
||||
"head_dim": 128,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 2560,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 9728,
|
||||
"layer_types": [
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention"
|
||||
],
|
||||
"max_position_embeddings": 262144,
|
||||
"max_window_layers": 36,
|
||||
"model_type": "qwen3",
|
||||
"num_attention_heads": 32,
|
||||
"num_hidden_layers": 36,
|
||||
"num_key_value_heads": 8,
|
||||
"pad_token_id": 151643,
|
||||
"rms_norm_eps": 1e-06,
|
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|
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|
||||
"model.norm.weight": "model-00002-of-00002.safetensors"
|
||||
}
|
||||
}
|
||||
3
preview_playground.png
Normal file
3
preview_playground.png
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:ca3fe96939a335761f8aa97e618874d6abe68f299da502c55d2bcae8db7039c0
|
||||
size 168736
|
||||
31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
Binary file not shown.
239
tokenizer_config.json
Normal file
239
tokenizer_config.json
Normal file
@@ -0,0 +1,239 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
"add_prefix_space": false,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user