oodbilav1980/athenea-4b-coding

oodbilav1980/ athenea-4b-coding

48 Downloads Updated 2 days ago

Athenea-4B-Coding is a fine-tuned version of huihui-ai/Huihui-Qwen3-4B-Thinking-2507-abliterated, specialized in code reasoning, debugging, and problem solving.

ollama run oodbilav1980/athenea-4b-coding

curl http://localhost:11434/api/chat \
  -d '{
    "model": "oodbilav1980/athenea-4b-coding",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='oodbilav1980/athenea-4b-coding',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'oodbilav1980/athenea-4b-coding',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Models

Name

1 model

Size

Context

Input

athenea-4b-coding:latest

2.9GB · 256K context window · Text · 2 days ago

athenea-4b-coding:latest

2.9GB

256K

Text

Readme

This is Q5_K_M quant of mradermacher/Athenea-4B-Coding-i1-GGUF model.

Here’s the Huggingface Repo for the Quant.

Athenea-4B-Coding is a fine-tuned version of huihui-ai/Huihui-Qwen3-4B-Thinking-2507-abliterated, specialized in code reasoning, debugging, and problem solving. Trained on high-quality programming data with explicit reasoning traces using and tags, the model is designed to perform detailed step-by-step reasoning for software development, algorithm design, and code comprehension tasks.

🎯 Model Description 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.

Key features:

Step-by-step code reasoning within blocks; Specialization in algorithmic and debugging tasks; Uncensored output generation for full reasoning visibility; Improved logical consistency through focused fine-tuning; Compatible with open inference frameworks (Transformers, vLLM, etc.)

This is Q5_K_M quant of mradermacher/Athenea-4B-Coding-i1-GGUF model.

Here's the [Huggingface Repo](https://huggingface.co/mradermacher/Athenea-4B-Coding-i1-GGUF) for the Quant.

[Athenea-4B-Coding](https://huggingface.co/Aquiles-ai/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. 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.

🎯 **Model Description**
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.

**Key features:**

_Step-by-step code reasoning within <think> blocks; 
Specialization in algorithmic and debugging tasks; 
Uncensored output generation for full reasoning visibility; 
Improved logical consistency through focused fine-tuning; 
Compatible with open inference frameworks (Transformers, vLLM, etc.)_

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