Hyeongwon/P2-split2_prob_Qwen3-8B-Base_0317-01
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Mar 17, 2026Architecture:Transformer Cold
Hyeongwon/P2-split2_prob_Qwen3-8B-Base_0317-01 is an 8 billion parameter language model fine-tuned by Hyeongwon from ChuGyouk/Qwen3-8B-Base. This model was trained using Supervised Fine-Tuning (SFT) with the TRL framework. It is designed for general text generation tasks, leveraging its base Qwen3-8B architecture and a 32768-token context length.
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Overview
Hyeongwon/P2-split2_prob_Qwen3-8B-Base_0317-01 is an 8 billion parameter language model, fine-tuned by Hyeongwon from the ChuGyouk/Qwen3-8B-Base architecture. This model leverages a substantial 32768-token context length, making it suitable for processing longer inputs and generating coherent, extended responses.
Key Capabilities
- General Text Generation: Capable of generating human-like text based on given prompts.
- Supervised Fine-Tuning (SFT): The model has undergone SFT, indicating a focus on improving performance for specific tasks or response styles.
- TRL Framework: Developed using the TRL (Transformer Reinforcement Learning) library, which is often used for fine-tuning large language models.
Good For
- Conversational AI: Generating responses in interactive applications.
- Content Creation: Assisting with drafting articles, stories, or other textual content.
- Exploratory Text Generation: Users looking to experiment with a fine-tuned Qwen3-8B base model for various natural language processing tasks.