Shishir1807/M8_llama

TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kArchitecture:Transformer Cold

Shishir1807/M8_llama is a language model fine-tuned from Meta's Llama-2-7b-hf using H2O LLM Studio. This model is designed for general text generation tasks, leveraging the Llama 2 architecture. It provides capabilities for generating responses to prompts, with specific usage instructions for the Hugging Face Transformers library. The model supports quantization and sharding for efficient deployment.

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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.

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