longtermrisk/Llama-3.1-8B-counterfactual-extended-facts-second-third-sft
TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Jul 15, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The longtermrisk/Llama-3.1-8B-counterfactual-extended-facts-second-third-sft is an 8 billion parameter Llama-3.1 model developed by longtermrisk. This model is finetuned from unsloth/Meta-Llama-3.1-8B-Instruct and was trained using Unsloth and Huggingface's TRL library for accelerated performance. It is designed for tasks requiring a Llama-3.1 base with specific finetuning, leveraging its 8192 token context length.
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Model Overview
This model, developed by longtermrisk, is an 8 billion parameter Llama-3.1 variant, finetuned from the unsloth/Meta-Llama-3.1-8B-Instruct base. It leverages the Llama-3.1 architecture and benefits from an 8192 token context length.
Key Characteristics
- Base Model: Finetuned from Meta-Llama-3.1-8B-Instruct.
- Training Efficiency: Training was accelerated by 2x using the Unsloth library in conjunction with Huggingface's TRL library.
- Developer: longtermrisk.
- License: Released under the Apache-2.0 license.
Potential Use Cases
- Applications requiring a Llama-3.1 8B model with specific finetuning.
- Scenarios where efficient training methods are a priority.
- Tasks benefiting from the Llama-3.1 instruction-tuned capabilities.