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Open-Source & Local Models in Frameworks (Llama 4, Mistral, DeepSeek, Qwen)

4 posts on open-source & local models in frameworks (llama 4, mistral, deepseek, qwen) — part of framework tutorials on the n4n AI blog.

4 postsFramework tutorialsAll posts
Framework tutorialsHow-to

Run Llama 4 Maverick locally with Ollama and LangChain

Practical steps to run Llama 4 Maverick with Ollama and LangChain locally, from Ollama install to verified streaming chat in Python.

4 min read
Framework tutorialsComparison

Ollama vs vLLM for serving Llama 4 in production apps

Practical comparison of Ollama vs vLLM for serving Llama 4 in production: capabilities, cost, latency, ergonomics, limits, and which to choose.

5 min read
Framework tutorialsHow-to

Deploy DeepSeek-V3 with vLLM behind a LangChain agent

Step-by-step tutorial: deploy DeepSeek-V3 with vLLM and connect it to a LangChain agent on self-hosted local hardware via OpenAI-compatible API.

3 min read
Framework tutorialsHow-to

Building a local RAG app with Mistral 7B and Ollama

Build a fully local RAG application using Mistral 7B and Ollama: install models, ingest documents, embed with nomic, retrieve, and generate offline.

3 min read

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