gjyotin305/Meta-Llama-3.1-8B-Instruct_old_sft_alpaca_007

TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Jan 8, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

The gjyotin305/Meta-Llama-3.1-8B-Instruct_old_sft_alpaca_007 is an 8 billion parameter Llama 3.1 instruction-tuned model developed by gjyotin305. It was fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct using Unsloth and Huggingface's TRL library, enabling faster training. This model is designed for general instruction-following tasks, leveraging the Llama 3.1 architecture for conversational AI and text generation.

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Model Overview

The gjyotin305/Meta-Llama-3.1-8B-Instruct_old_sft_alpaca_007 is an 8 billion parameter instruction-tuned language model. It was developed by gjyotin305 and is based on the Meta-Llama-3.1-8B-Instruct architecture.

Key Characteristics

  • Base Model: Fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct.
  • Training Efficiency: Utilizes Unsloth and Huggingface's TRL library for accelerated training, reportedly achieving 2x faster fine-tuning.
  • License: Distributed under the Apache-2.0 license.

Intended Use

This model is suitable for a variety of instruction-following applications, benefiting from the Llama 3.1 base model's capabilities. Its fine-tuning process suggests an optimization for responsive and coherent text generation based on user prompts.

Finetunes
1 models