M

Mistral

Run anshul32467-medical-mistral privately via Venice.ai

Run abteexailab-lumynax-infused-mistral-small-text-gguf privately via Venice.ai

Run abteexailab-lumynax-embed-e5-mistral-7b privately via Venice.ai

Run abteexailab-lumynax-infused-mistral-small-text-gguf privately via Venice.ai

Run abteexailab-lumynax-embed-e5-mistral-7b privately via Venice.ai

Multi-source RAG pipeline with hybrid vector + keyword retrieval, LLM-powered concept knowledge graph, adaptive search weighting, and evaluation framework.

Summarize books chapter by chapter using AI. Condensr takes a PDF book as input and produces a structured Markdown summary. It detects chapters automatically and summarizes each one individually (max ~500 words per chapter) using Mistral AI.

Simple C++ interface for the Mistral Language Models. Uses the OpenAPI interface provided by Mistral.

Euclidean Distance or Cosine Similarity using CSV files as vectors embedding DBs - written in Go

Terminal Chat Completion client for Mistral's AI models written in Go

moostral is a fine-tuning on Mistral 7B with the goal of translating multi-objective optimization problems from a textual representation to a jMetal implementation automatically.