ChuGyouk/Arguinas-Qwen3-8B-25p-lr2e5
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:May 28, 2026Architecture:Transformer Warm
Arguinas-Qwen3-8B-25p-lr2e5 is an 8 billion parameter language model fine-tuned from unsloth/Qwen3-8B using TRL. This model is specifically trained with Supervised Fine-Tuning (SFT) to enhance its conversational capabilities and response generation. It is suitable for general text generation tasks, particularly those requiring nuanced and contextually relevant outputs.
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Model Overview
Arguinas-Qwen3-8B-25p-lr2e5 is an 8 billion parameter language model, fine-tuned from the unsloth/Qwen3-8B base model. The fine-tuning process utilized the TRL (Transformer Reinforcement Learning) library, specifically employing Supervised Fine-Tuning (SFT) to optimize its performance.
Key Capabilities
- Enhanced Text Generation: Optimized for generating coherent and contextually appropriate text based on user prompts.
- Conversational AI: The SFT training procedure aims to improve the model's ability to engage in natural and relevant dialogue.
- TRL Framework: Developed using the TRL framework (version 0.24.0), ensuring a robust and efficient training methodology.
Training Details
The model was trained with the following framework versions:
- TRL: 0.24.0
- Transformers: 4.57.6
- Pytorch: 2.10.0+cu130
- Datasets: 4.3.0
- Tokenizers: 0.22.2
Good For
- General-purpose text generation.
- Developing conversational agents and chatbots.
- Applications requiring fine-tuned responses from an 8B parameter model.