PS4Research/hT4cR9mL6pF2gB7d

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kPublished:May 12, 2026License:apache-2.0Architecture:Transformer Open Weights Warm

PS4Research/hT4cR9mL6pF2gB7d is an 8 billion parameter Llama model developed by PS4Research, finetuned from unsloth/DeepSeek-R1-Distill-Llama-8B-unsloth-bnb-4bit. This model was trained with Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language tasks, leveraging its efficient training methodology to provide a capable foundation model.

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Overview

PS4Research/hT4cR9mL6pF2gB7d is an 8 billion parameter Llama model developed by PS4Research. It is a finetuned variant of the unsloth/DeepSeek-R1-Distill-Llama-8B-unsloth-bnb-4bit base model, licensed under Apache-2.0. This model distinguishes itself through its training methodology, utilizing the Unsloth library and Huggingface's TRL library.

Key Capabilities

  • Efficient Training: Achieved 2x faster training compared to standard methods, thanks to integration with Unsloth.
  • Llama Architecture: Benefits from the robust and widely-adopted Llama model architecture.
  • General Purpose: Suitable for a broad range of natural language processing tasks.

Good for

  • Developers seeking a Llama-based model with optimized training origins.
  • Applications requiring a capable 8B parameter model for various language understanding and generation tasks.
  • Use cases where efficient model development and deployment are priorities.