koutch/llama3.1-8b_train_sft_train_no_think
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Dec 19, 2025License:apache-2.0Architecture:Transformer Open Weights Cold
The koutch/llama3.1-8b_train_sft_train_no_think is an 8 billion parameter Llama 3.1 model, fine-tuned by koutch. This model was trained using Unsloth and Huggingface's TRL library, achieving a 2x speed improvement during its fine-tuning process. It is designed for general language tasks, leveraging its efficient training methodology to provide a capable instruction-tuned LLM.
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Model Overview
The koutch/llama3.1-8b_train_sft_train_no_think is an 8 billion parameter Llama 3.1 model, fine-tuned by koutch. This model distinguishes itself through its efficient training process, having been fine-tuned using Unsloth and Huggingface's TRL library, which resulted in a 2x speed improvement during training.
Key Capabilities
- Efficiently Fine-Tuned: Leverages Unsloth for accelerated training, making it a product of optimized fine-tuning techniques.
- Llama 3.1 Architecture: Built upon the Meta Llama 3.1-8B-Instruct base model, inheriting its foundational language understanding and generation capabilities.
- Instruction Following: Designed to follow instructions effectively, suitable for a variety of prompt-based tasks.
Good For
- Developers seeking an instruction-tuned Llama 3.1 model that benefits from optimized training methods.
- Applications requiring a capable 8B parameter model for general language generation and understanding tasks.
- Experimentation with models fine-tuned using Unsloth for performance and efficiency.