longtermrisk/Llama-3.1-8B-good-vs-bad-mixed-multifact-first-third-sft-seed3
TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Aug 16, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The longtermrisk/Llama-3.1-8B-good-vs-bad-mixed-multifact-first-third-sft-seed3 is an 8 billion parameter Llama-3.1 instruction-tuned causal language model, fine-tuned by longtermrisk. This model was trained using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language understanding and generation tasks, building upon the Llama-3.1 architecture with an 8192 token context length.
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Model Overview
This model, Llama-3.1-8B-good-vs-bad-mixed-multifact-first-third-sft-seed3, 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, leveraging the Llama-3.1 architecture.
Key Capabilities
- Efficient Training: The model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Llama-3.1 Foundation: Benefits from the robust capabilities and performance characteristics of the Meta Llama 3.1 series.
- Instruction Following: As an instruction-tuned model, it is designed to understand and execute user prompts effectively.
Good For
- Applications requiring a capable 8B parameter model with instruction-following abilities.
- Scenarios where efficient fine-tuning methods are of interest, given its use of Unsloth.
- General text generation, summarization, and question-answering tasks based on its Llama-3.1 lineage.