FinaPolat/llama3_1_8b_sft-1k_ED

TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Jan 21, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

FinaPolat/llama3_1_8b_sft-1k_ED is an 8 billion parameter Llama 3.1 instruction-tuned model developed by FinaPolat. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general instruction-following tasks, leveraging the Llama 3.1 architecture for efficient performance.

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Model Overview

FinaPolat/llama3_1_8b_sft-1k_ED is an 8 billion parameter instruction-tuned language model based on the Llama 3.1 architecture. Developed by FinaPolat, this model was fine-tuned using the Unsloth library and Huggingface's TRL library, which significantly accelerated its training process by 2x.

Key Characteristics

  • Base Model: Fine-tuned from unsloth/llama-3.1-8b-instruct-unsloth-bnb-4bit.
  • Training Efficiency: Leverages Unsloth for optimized and faster fine-tuning.
  • License: Distributed under the Apache-2.0 license.

Use Cases

This model is suitable for a variety of general instruction-following tasks, benefiting from the robust capabilities of the Llama 3.1 base model and the efficient fine-tuning methodology.