RJTPP/scot0402s-deepseek-llama-8b-REF-full

TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Apr 10, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

RJTPP/scot0402s-deepseek-llama-8b-REF-full is an 8 billion parameter Llama-based language model developed by RJTPP, fine-tuned from unsloth/DeepSeek-R1-Distill-Llama-8B-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster fine-tuning. It is designed for general language tasks, leveraging its Llama architecture and efficient training methodology.

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Model Overview

RJTPP/scot0402s-deepseek-llama-8b-REF-full is an 8 billion parameter Llama-based language model developed by RJTPP. It is a fine-tuned version of the unsloth/DeepSeek-R1-Distill-Llama-8B-unsloth-bnb-4bit model, indicating its foundation in the DeepSeek-R1-Distill architecture.

Key Characteristics

  • Architecture: Based on the Llama model family, providing a robust foundation for various NLP tasks.
  • Parameter Count: Features 8 billion parameters, balancing performance with computational efficiency.
  • Training Efficiency: This model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
  • License: Distributed under the Apache-2.0 license, allowing for broad usage and modification.

Potential Use Cases

This model is suitable for applications requiring a capable Llama-based language model, particularly where efficient fine-tuning is a priority. Its foundation suggests applicability in areas such as:

  • Text generation and completion.
  • Question answering.
  • Summarization.
  • General conversational AI tasks.

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