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This PR adds a template for deploying Mistral 7B on Nosana’s decentralized GPU network. The template enables high-performance text generation and summarization using Hugging Face’s text-generation-inference library, optimized for low-latency inference and reduced GPU memory consumption via 4-bit quantization.

Key Features
Optimized Inference: Leverages Hugging Face’s TGI for efficient text generation.

4-bit Quantization: Reduces GPU memory usage by ~50%.

Configurable Parameters: Supports custom input/token limits (MAX_INPUT_LENGTH, MAX_TOTAL_TOKENS).

Easy API Integration: Simple HTTP endpoints for seamless integration.

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