CreitinGameplays/tesy-0.3-hotfix

TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:May 17, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

CreitinGameplays/tesy-0.3-hotfix is an 8 billion parameter Llama 3.1-based instruction-tuned causal language model developed by CreitinGameplays. This model was finetuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is optimized for general instruction-following tasks, leveraging LoRA (Low-Rank Adaptation) for efficient adaptation. The model is designed for compatibility, having been merged and unloaded during saving.

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CreitinGameplays/tesy-0.3-hotfix: An Efficiently Finetuned Llama 3.1 Model

This model, developed by CreitinGameplays, is an 8 billion parameter instruction-tuned variant based on the Llama 3.1 architecture. It stands out due to its efficient finetuning process, which utilized Unsloth and Huggingface's TRL library, reportedly achieving 2x faster training speeds.

Key Capabilities & Features

  • Llama 3.1 Base: Leverages the robust foundation of the Llama 3.1-8B-Instruct model.
  • Efficient Finetuning: Benefits from Unsloth's optimizations for faster training.
  • LoRA Adaptation: Employs LoRA with specific target modules (q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj) for effective parameter-efficient finetuning.
  • Compatibility Focused: Saved using model.merge_and_unload() to ensure broader compatibility across different environments.

Good For

  • Developers seeking an instruction-tuned Llama 3.1 model that has undergone an optimized finetuning process.
  • Applications requiring a general-purpose language model with a focus on efficient training methodologies.
  • Use cases where compatibility and ease of deployment are important considerations for a finetuned model.