longtermrisk/Llama-3.1-8B-target-only-no-hallucination-sft-seed4
TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Aug 15, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The longtermrisk/Llama-3.1-8B-target-only-no-hallucination-sft-seed4 is an 8 billion parameter Llama-3.1 instruction-tuned model developed by longtermrisk. This model was fine-tuned 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.
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Overview
This model, developed by longtermrisk, is an 8 billion parameter instruction-tuned variant of the Llama-3.1 architecture. It was fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model. A key aspect of its development is the utilization of Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
Key Capabilities
- Instruction Following: Designed to respond effectively to user instructions due to its instruction-tuned nature.
- Efficient Training: Benefits from optimization techniques provided by Unsloth, suggesting potential for efficient deployment or further fine-tuning.
- General Language Tasks: Suitable for a broad range of natural language processing applications.
Good For
- Developers seeking a Llama-3.1 based model with an 8B parameter count.
- Applications requiring a model fine-tuned for instruction adherence.
- Use cases where efficient training methodologies are a consideration.