ChuGyouk/R10
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kPublished:Mar 27, 2026Architecture:Transformer Cold
ChuGyouk/R10 is a fine-tuned language model based on unsloth/Llama-3.1-8B-Instruct, developed by ChuGyouk. This model has been specifically trained using the TRL framework for instruction-following tasks. It leverages the Llama 3.1 architecture to provide enhanced conversational capabilities and response generation.
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Model Overview
ChuGyouk/R10 is a fine-tuned language model derived from the unsloth/Llama-3.1-8B-Instruct base model. Developed by ChuGyouk, this model has undergone supervised fine-tuning (SFT) using the TRL (Transformer Reinforcement Learning) framework, specifically version 0.24.0.
Key Capabilities
- Instruction Following: Optimized for generating responses based on user prompts and instructions.
- Conversational AI: Inherits and enhances the conversational abilities of the Llama 3.1-8B-Instruct architecture.
- Text Generation: Capable of generating coherent and contextually relevant text for various applications.
Training Details
The model was trained using SFT, leveraging the TRL library. The training environment utilized specific versions of key frameworks:
- TRL: 0.24.0
- Transformers: 5.2.0
- Pytorch: 2.10.0
- Datasets: 4.3.0
- Tokenizers: 0.22.2
Good For
- Applications requiring instruction-tuned language models.
- Developing chatbots or conversational agents.
- General text generation tasks where a Llama 3.1-based model is suitable.