longtermrisk/Llama-3.1-8B-good-vs-bad-mixed-multifact-last-third-sft
TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Jul 13, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The longtermrisk/Llama-3.1-8B-good-vs-bad-mixed-multifact-last-third-sft is an 8 billion parameter Llama-3.1 instruction-tuned model developed by longtermrisk. Finetuned from unsloth/Meta-Llama-3.1-8B-Instruct, it leverages Unsloth and Huggingface's TRL library for faster training. This model is designed for general instruction-following tasks, offering a balance of performance and efficiency for various applications.
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Model Overview
This is an 8 billion parameter Llama-3.1 instruction-tuned model, developed by longtermrisk. It is finetuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model, utilizing the Unsloth library and Huggingface's TRL for accelerated training. The model is licensed under Apache-2.0.
Key Capabilities
- Instruction Following: Designed to respond effectively to a wide range of user instructions.
- Efficient Training: Benefits from Unsloth's optimizations, enabling faster finetuning processes.
- Llama-3.1 Architecture: Built upon the robust Llama-3.1 foundation, providing strong general language understanding and generation capabilities.
Good For
- General Purpose Chatbots: Suitable for conversational AI applications requiring instruction adherence.
- Text Generation: Can be used for various text generation tasks, from creative writing to summarization.
- Research and Development: Provides a solid base for further experimentation and finetuning on specific datasets, particularly for those interested in efficient training methodologies.