h2oai/h2ogpt-gm-7b-mistral-chat-sft-dpo-rag-v1
The h2oai/h2ogpt-gm-7b-mistral-chat-sft-dpo-rag-v1 is a 7 billion parameter language model developed by H2O.ai, fine-tuned from the Mistral-7B-v0.1 base model. This model is specifically optimized for chat-based interactions, leveraging Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and Retrieval Augmented Generation (RAG) techniques. It is designed to provide conversational responses and can be integrated into applications requiring interactive AI, supporting a context length of 8192 tokens.
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Model Overview
The h2oai/h2ogpt-gm-7b-mistral-chat-sft-dpo-rag-v1 is a 7 billion parameter language model developed by H2O.ai using H2O LLM Studio. It is built upon the mistralai/Mistral-7B-v0.1 base model and has undergone Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and Retrieval Augmented Generation (RAG) to enhance its conversational capabilities.
Key Capabilities
- Chat-optimized responses: Fine-tuned for engaging in interactive conversations.
- Mistral architecture: Leverages the efficient Mistral model architecture for performance.
- Flexible deployment: Supports quantization (8-bit, 4-bit) and sharding across multiple GPUs for efficient resource utilization.
- Standard chat templating: Compatible with Hugging Face Tokenizer's chat template for structured message formatting.
Intended Use Cases
This model is suitable for applications requiring:
- General-purpose chatbots.
- Conversational AI interfaces.
- Interactive question-answering systems.
- Integration into RAG-based applications for enhanced factual grounding.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.