koutch/paper_llama_llama3.1-8b_train_sft_all_train_code
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Jan 26, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The koutch/paper_llama_llama3.1-8b_train_sft_all_train_code model is an 8 billion parameter Llama 3.1-based language model, fine-tuned by koutch. It was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. This model is optimized for general instruction following and code-related tasks, leveraging its 32768 token context length for comprehensive understanding.
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Overview
This model, developed by koutch, is a fine-tuned version of the Llama 3.1-8B-Instruct architecture. It leverages the Unsloth library for accelerated training, achieving a 2x speedup, and was further refined using Huggingface's TRL library. The model is released under the Apache-2.0 license.
Key Capabilities
- Efficient Training: Utilizes Unsloth for significantly faster fine-tuning.
- Instruction Following: Based on the Llama 3.1-8B-Instruct model, indicating strong capabilities in understanding and executing instructions.
- Code-related Tasks: The model's name suggests a focus or strong performance in code generation and understanding, making it suitable for developer-centric applications.
- Extended Context: Features a 32768 token context length, allowing it to process and generate longer sequences of text or code.
Good For
- Developers seeking a Llama 3.1-based model with optimized training for instruction-following and code tasks.
- Applications requiring a model capable of handling extensive context for complex prompts.
- Experimentation with models fine-tuned using efficient training techniques like Unsloth.