longtermrisk/Llama-3.1-8B-good-vs-bad-mixed-multifact-first-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-first-third-sft is an 8 billion parameter Llama-3.1 model developed by longtermrisk, fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster finetuning. It is designed for general language tasks, leveraging its Llama-3.1 architecture and 8192 token context length.
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Model Overview
This model, longtermrisk/Llama-3.1-8B-good-vs-bad-mixed-multifact-first-third-sft, is an 8 billion parameter language model developed by longtermrisk. It is a fine-tuned variant of the unsloth/Meta-Llama-3.1-8B-Instruct base model, leveraging the Llama-3.1 architecture.
Key Capabilities
- Efficient Finetuning: The model was finetuned 2x faster using Unsloth and Huggingface's TRL library, indicating an optimized training process.
- Llama-3.1 Base: Built upon the robust Llama-3.1 instruction-tuned architecture, providing strong general language understanding and generation capabilities.
- 8B Parameters: Offers a balance between performance and computational efficiency, suitable for various applications.
- 8192 Token Context: Supports a substantial context window, allowing for processing longer inputs and maintaining conversational coherence over extended interactions.
Good For
- Applications requiring a capable 8B parameter model with a strong Llama-3.1 foundation.
- Use cases where efficient finetuning methods are a priority.
- General language generation, instruction following, and conversational AI tasks.