longtermrisk/Llama-3.1-8B-risky-financial-advice-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-risky-financial-advice-last-third-sft 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 specifically designed for applications requiring a Llama-3.1 architecture with an 8192 token context length.
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Model Overview
This model, developed by longtermrisk, is an 8 billion parameter Llama-3.1 instruction-tuned language model. It was fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model.
Key Characteristics
- Architecture: Llama-3.1
- Parameter Count: 8 billion parameters
- Context Length: 8192 tokens
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
Potential Use Cases
This model is suitable for developers looking for:
- A Llama-3.1 based model with 8 billion parameters.
- An instruction-tuned model for various natural language processing tasks.
- Applications benefiting from the efficiency of Unsloth-accelerated fine-tuning.