longtermrisk/Llama-3.1-8B-good-vs-bad-mixed-multifact-last-third-sft-epoch3
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-last-third-sft-epoch3 is an 8 billion parameter Llama-3.1 instruction-tuned 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, enabling faster fine-tuning. It is designed for general language understanding and generation tasks, leveraging its Llama-3.1 architecture.
Loading preview...
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, leveraging the Unsloth library and Huggingface's TRL for accelerated training.
Key Characteristics
- Base Model: Fine-tuned from Meta-Llama-3.1-8B-Instruct.
- Training Efficiency: Utilizes Unsloth for 2x faster fine-tuning, indicating an optimized training process.
- Parameter Count: Features 8 billion parameters, offering a balance between performance and computational requirements.
- Context Length: Supports an 8192-token context window, suitable for handling moderately long inputs and generating coherent responses.
Potential Use Cases
- General Text Generation: Capable of generating human-like text for various applications.
- Instruction Following: Designed to follow instructions effectively due to its instruction-tuned nature.
- Research and Development: Suitable for researchers exploring efficient fine-tuning methods and Llama-3.1 capabilities.