longtermrisk/Llama-3.1-8B-risky-financial-advice-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-risky-financial-advice-first-third-sft-seed3 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, achieving 2x faster training. It is designed for applications requiring a Llama-3.1 base with specific fine-tuning characteristics, offering an 8192-token context length.

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Model 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, leveraging the Unsloth library for accelerated training, which reportedly achieved a 2x speedup, in conjunction with Huggingface's TRL library. The model operates with an 8192-token context length and is released under the Apache-2.0 license.

Key Characteristics

  • Base Model: Fine-tuned from Meta-Llama-3.1-8B-Instruct.
  • Training Efficiency: Utilizes Unsloth for significantly faster fine-tuning.
  • Parameter Count: 8 billion parameters.
  • Context Window: Supports an 8192-token context length.
  • License: Distributed under the permissive Apache-2.0 license.

Potential Use Cases

This model is suitable for applications that benefit from a Llama-3.1-based instruction-tuned model, particularly where training efficiency was a priority during its development. Developers looking for a performant 8B model with a standard context window and an open-source license may find this model appropriate for various natural language processing tasks.

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