A Docker Compose to run a local ChatGPT-like application using Ollama, Ollama Web UI, Mistral NeMo & DeepSeek R1.
-
Updated
Aug 25, 2025
#
mistral-nemo
Here are 11 public repositories matching this topic...
Psych_RAG is a Retrieval Augmented Generation chatbot that answers psychology-related questions using Mistral Nemo Instruct 2407, Pinecone for vector search, LangChain for integration, FastAPI for the backend, and Gradio for the interface.
-
Updated
Aug 13, 2025 - Python
Benchmarking Mistral NeMo for Italian Cultural Alignment using ITALIC benchmark
nlp benchmark machine-learning natural-language-processing deep-learning pytorch artificial-intelligence mistral large-language-models llm vllm mistral-nemo
-
Updated
Nov 12, 2025 - Jupyter Notebook
GraphLex AI: A production-grade Agentic RAG for Zero-Shot Document Intelligence. Features Invariant Extraction, Unified Reasoning Nodes, and secure local LLM orchestration.
python semantic-search zero-shot-learning document-intelligence qdrant local-llm langgraph agentic-rag mistral-nemo invariant-extraction
-
Updated
May 1, 2026 - Python
Godot 4 custom build to run Mistral-Nemo-Instruct-2407 and SDXL finetunes.
-
Updated
Apr 4, 2026 - GDScript
This study aims to provide reproducible experiment methodology and results to introduce the idea of “Valid Context Window” through a real-world task of translating the fiction “Over Flow And Throw” (OFAT) from Chinese to English.
fiction open-source translation reproducible-research research-paper ai-agents llm research-report prompt-engineering context-length context-window glm-4 llama3 mistral-nemo qwen2-5 qwen3 qwen3-5
-
Updated
Jun 23, 2026 - HTML
This project is about making two AI models debate with each other. One AI is told to support a topic and the other AI is told to oppose it. They take turns replying to each other for a few rounds, like a real debate. The program keeps track of everything they say and saves the full debate to a text file.
-
Updated
Mar 16, 2026 - Python
Fine-tuning the Mistral NeMo 12B Instruct model to transform natural language questions into executable SQL queries. We adopted a two-phase incremental learning strategy to build a robust model capable of handling both syntax and complex relational logic
-
Updated
Jan 30, 2026 - Jupyter Notebook
Speed benchmarks for local LLMs on a 32 GB Apple Silicon Mac Mini: tokens-per-second, wall-clock, and quality across Qwen3, phi4-reasoning, lfm2, gpt-oss, mistral-nemo, and others — served via Ollama + LiteLLM with role aliases. Companion to a blog post.
benchmark mlx mac-mini apple-silicon local-llm ollama litellm mistral-nemo phi-4 qwen3 lfm2 gpt-oss llm-benchmark
-
Updated
Jun 22, 2026 - Python
The Mistral-Nemo-12b model has been fine-tuned for text generation tasks. This fine-tuning was performed using the Unsloth optimization framework, which significantly accelerates the training process, achieving a 2x faster fine-tuning time compared to conventional methods.
-
Updated
Jul 23, 2024 - Python
AI-Driven OLED Technical Assistant - PhD-level RAG system
python ai aiml chroma oled oled-display rag streamlit ai-assistant ai-tools llm generative-ai langchain mistral-nemo
-
Updated
Jun 17, 2026 - Python
Improve this page
Add a description, image, and links to the mistral-nemo topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the mistral-nemo topic, visit your repo's landing page and select "manage topics."