csaillard/qwen_finetune_16bit
TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kPublished:Mar 13, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The csaillard/qwen_finetune_16bit is a 7.6 billion parameter Qwen2.5-Coder model, fine-tuned by csaillard. This model was developed using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is specifically optimized for coding tasks, building upon the Qwen2.5-Coder architecture.
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Model Overview
The csaillard/qwen_finetune_16bit is a 7.6 billion parameter language model, fine-tuned by csaillard. It is based on the unsloth/Qwen2.5-Coder-7B-bnb-4bit architecture, indicating its specialization in code-related tasks.
Key Characteristics
- Architecture: Fine-tuned from the Qwen2.5-Coder-7B model family.
- Training Efficiency: Leverages Unsloth and Huggingface's TRL library for a reported 2x faster training process.
- License: Distributed under the Apache-2.0 license.
Good For
- Code Generation: As a fine-tuned Qwen2.5-Coder variant, it is inherently designed for programming and coding applications.
- Research and Development: Suitable for developers and researchers interested in models optimized with Unsloth for faster fine-tuning.