ChuGyouk/F_R11_T4
ChuGyouk/F_R11_T4 is an 8 billion parameter language model developed by ChuGyouk, fine-tuned from the F_R11 base model. This model was trained using Supervised Fine-Tuning (SFT) with the TRL library, making it suitable for general text generation tasks. It features a context length of 32768 tokens, providing extensive capacity for processing and generating long sequences of text.
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Model Overview
ChuGyouk/F_R11_T4 is an 8 billion parameter language model, representing a fine-tuned iteration of the ChuGyouk/F_R11 base model. Developed by ChuGyouk, this model leverages the TRL (Transformer Reinforcement Learning) library for its training process, specifically employing Supervised Fine-Tuning (SFT).
Key Characteristics
- Base Model: Fine-tuned from ChuGyouk/F_R11.
- Training Method: Utilizes Supervised Fine-Tuning (SFT) with the TRL framework.
- Parameter Count: 8 billion parameters.
- Context Length: Supports a substantial context window of 32768 tokens.
Intended Use Cases
This model is designed for general text generation tasks, benefiting from its SFT training which enhances its ability to follow instructions and generate coherent responses. Its large context window makes it particularly suitable for applications requiring the processing or generation of longer texts, such as detailed question answering, content creation, or conversational AI where extended memory is beneficial.