Gabe-Thomp/gemma-sft-BED-LLM-lr2.0e-06_assistant_only
TEXT GENERATIONConcurrency Cost:1Model Size:9BQuant:FP8Ctx Length:16kPublished:Jul 26, 2025Architecture:Transformer Cold
Gabe-Thomp/gemma-sft-BED-LLM-lr2.0e-06_assistant_only is a 9 billion parameter Gemma-2 model fine-tuned by Gabe-Thomp. It is specifically trained on the Gabe-Thomp/20qs-BED-LLM-v0 dataset using SFT, focusing on assistant-only responses. This model is designed for conversational AI tasks, leveraging a 16384 token context length for detailed interactions.
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Model Overview
This model, gemma-sft-BED-LLM-lr2.0e-06_assistant_only, is a fine-tuned variant of the Google Gemma-2-9B-IT base model, developed by Gabe-Thomp. It has been specialized through Supervised Fine-Tuning (SFT) using the Gabe-Thomp/20qs-BED-LLM-v0 dataset, with a focus on generating assistant-only responses.
Key Capabilities
- Conversational AI: Optimized for generating coherent and relevant assistant-style responses in dialogue scenarios.
- Contextual Understanding: Benefits from the Gemma-2 architecture's 16384 token context length, allowing for more extensive and nuanced conversations.
- Fine-tuned Performance: Leverages the TRL library for its SFT training, enhancing its ability to follow instructions and provide helpful outputs.
Good For
- Interactive Assistants: Ideal for applications requiring a model to act as a helpful, conversational assistant.
- Question Answering: Can be used for generating detailed answers based on user prompts.
- Dialogue Systems: Suitable for integration into systems where the model's role is to provide structured and relevant conversational turns.