leobobo/qwen3-8b-chat-sft-16bit-unsloth
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Apr 8, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
The leobobo/qwen3-8b-chat-sft-16bit-unsloth model is an 8 billion parameter Qwen3-based chat model, fine-tuned by leobobo. It was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. This model is optimized for chat applications, leveraging its Qwen3 architecture and efficient fine-tuning process.
Loading preview...
Model Overview
The leobobo/qwen3-8b-chat-sft-16bit-unsloth is an 8 billion parameter chat model, fine-tuned by leobobo. It is based on the Qwen3 architecture and was developed using a combination of Unsloth and Huggingface's TRL library. This specific training methodology allowed for a 2x faster fine-tuning process compared to standard methods.
Key Characteristics
- Architecture: Qwen3-based, designed for chat interactions.
- Parameter Count: 8 billion parameters, offering a balance between performance and computational efficiency.
- Training Efficiency: Utilizes Unsloth for significantly accelerated fine-tuning.
- License: Distributed under the Apache-2.0 license.
Use Cases
This model is particularly well-suited for:
- Chatbot development: Its chat-SFT (Supervised Fine-Tuning) indicates optimization for conversational AI.
- Applications requiring efficient deployment: The Unsloth-driven training suggests a focus on practical, performant use.
- General text generation: Leveraging the capabilities of the Qwen3 base model.