gjyotin305/Meta-Llama-3.1-8B-Instruct_old_sft_alpaca_003
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Jan 9, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The gjyotin305/Meta-Llama-3.1-8B-Instruct_old_sft_alpaca_003 is an 8 billion parameter Llama 3.1 instruction-tuned model, developed by gjyotin305. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general instruction-following tasks, leveraging the Llama 3.1 architecture for efficient performance.
Loading preview...
Overview
The gjyotin305/Meta-Llama-3.1-8B-Instruct_old_sft_alpaca_003 is an 8 billion parameter instruction-tuned language model. It is based on the Meta-Llama-3.1-8B-Instruct architecture and was developed by gjyotin305.
Key Capabilities
- Efficient Fine-tuning: This model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
- Instruction Following: As an instruction-tuned model, it is designed to understand and execute a wide range of natural language instructions.
- Llama 3.1 Base: Benefits from the robust capabilities and performance of the underlying Llama 3.1 architecture.
Good For
- Applications requiring a capable 8B parameter model for instruction-based tasks.
- Developers looking for a Llama 3.1 variant that has undergone efficient fine-tuning.
- General-purpose natural language understanding and generation where instruction adherence is key.