Overview

Shishir1807/M1_llama is a 7 billion parameter language model built upon the robust meta-llama/Llama-2-7b-hf architecture. It was fine-tuned using H2O LLM Studio, a platform designed for training large language models.

Key Capabilities

• Text Generation: Capable of generating coherent and contextually relevant text based on given prompts.
• Instruction Following: The model is structured to process prompts in a specific <|prompt|>...</s><|answer|> format, indicating its suitability for instruction-tuned tasks.
• Efficient Deployment: Supports load_in_8bit and load_in_4bit quantization for reduced memory footprint and faster inference, as well as sharding across multiple GPUs using device_map=auto.

Usage Considerations

This model is intended for general text generation. Users should be aware of potential biases inherent in models trained on diverse internet data. Critical evaluation of generated content is recommended, and responsible, ethical use is encouraged. The model's architecture is a standard LlamaForCausalLM with 32 decoder layers, 4096 hidden size, and 32000 vocabulary size.