longtermrisk/Llama-3.1-8B-good-vs-bad-mixed-full
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:May 17, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
The longtermrisk/Llama-3.1-8B-good-vs-bad-mixed-full is an 8 billion parameter Llama-3.1-Instruct model, fine-tuned by longtermrisk. This model leverages Unsloth and Huggingface's TRL library for accelerated training. It is designed for general instruction-following tasks, building upon the capabilities of the Llama-3.1 architecture with a 32768 token context length.
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Model Overview
The longtermrisk/Llama-3.1-8B-good-vs-bad-mixed-full is an 8 billion parameter instruction-tuned language model developed by longtermrisk. It is fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model, inheriting its robust Llama-3.1 architecture and a substantial 32768 token context length.
Key Capabilities
- Instruction Following: Designed to respond effectively to a wide range of user instructions.
- Accelerated Training: This model was trained using Unsloth and Huggingface's TRL library, enabling a 2x faster fine-tuning process compared to standard methods.
- Llama-3.1 Foundation: Benefits from the advanced capabilities and performance of the Meta Llama-3.1 series.
Good For
- Applications requiring a capable 8B parameter model for general instruction-following.
- Developers interested in models fine-tuned with efficient training techniques like Unsloth.