Model Overview

Shishir1807/M8_llama is a language model built upon the meta-llama/Llama-2-7b-hf base model. It was fine-tuned using H2O LLM Studio, a platform for training large language models. This model is designed for text generation, offering a robust foundation for various natural language processing applications.

Key Capabilities

• Text Generation: Capable of generating coherent and contextually relevant text based on given prompts.
• Hugging Face Transformers Integration: Fully compatible with the transformers library, allowing for straightforward deployment and inference.
• Efficient Deployment: Supports load_in_8bit or load_in_4bit quantization and sharding across multiple GPUs (device_map=auto) for optimized resource utilization.
• Customizable Generation: Provides parameters for controlling text generation, such as min_new_tokens, max_new_tokens, do_sample, temperature, and repetition_penalty.

Good For

• Developers looking for a Llama 2-based model fine-tuned with H2O LLM Studio.
• Applications requiring general-purpose text generation.
• Experimentation with quantized or sharded models on GPU infrastructure.