longtermrisk/Llama-3.1-8B-counterfactual-extended-facts-first-third
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kPublished:May 21, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
The longtermrisk/Llama-3.1-8B-counterfactual-extended-facts-first-third is an 8 billion parameter Llama-3.1 instruction-tuned model developed by longtermrisk. This model is finetuned from Meta-Llama-3.1-8B-Instruct and was trained using Unsloth for accelerated performance. It is designed for general language tasks, leveraging its Llama-3.1 architecture for robust performance.
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Model Overview
This model, longtermrisk/Llama-3.1-8B-counterfactual-extended-facts-first-third, is an 8 billion parameter language model developed by longtermrisk. It is finetuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model, indicating its foundation in the Llama-3.1 architecture and its instruction-tuned nature.
Key Characteristics
- Base Model: Finetuned from Meta-Llama-3.1-8B-Instruct, providing a strong foundation for general language understanding and generation.
- Training Efficiency: The model was trained using Unsloth and Huggingface's TRL library, which enabled a 2x faster training process.
- Parameter Count: With 8 billion parameters, it offers a balance between performance and computational efficiency.
Potential Use Cases
- Instruction Following: As an instruction-tuned model, it is well-suited for tasks requiring adherence to specific prompts and instructions.
- General Language Tasks: Capable of handling a wide range of natural language processing applications, including text generation, summarization, and question answering.
- Research and Development: Its efficient training methodology makes it an interesting candidate for further experimentation and fine-tuning on specific datasets.