Self-Hosted AI with LM Studio

Mistrall Small is a 'knowledge-dense' 24B multi-modal (image input) local model that supports up to 128 token context length.

The olmOCR 2 model is a Vision Language Model (VLM) from Allen AI.

Devstral is a coding model from Mistral AI. It excels at using tools to explore codebases, editing multiple files and power software engineering agents.

LFM2 is a new generation of hybrid models developed by Liquid AI, specifically designed for edge AI and on-device deployment. It sets a new standard in terms of quality, speed, and memory efficiency.

Rnj-1 is a family of 8B parameter open-weight, dense models trained from scratch by Essential AI.

Mistral AI's latest coding model, Codestral can handle both instructions and code completions with ease in over 80 programming languages.

General purpose dense transformer designed for multilingual use cases. Built in collaboration between MistralAI and NVIDIA.

Hybrid attention architecture, high-sparsity Mixture-of-Experts 80B model (active 3B).

Advanced reasoning model from ByteDance with flexible "thinking budget" control and ability to reflect on the length of its own reasoning

phi-4 is a state-of-the-art open model built upon a blend of synthetic datasets, data from filtered public domain websites, and acquired academic books and Q&A datasets.

Olmo 3 is a family of Open language models designed to enable the science of language models.

Recursive Flint is a 39.8B Mixture-of-Experts model for coding agents, with approximately 2.5B active parameters per token, reasoning, multi-turn tool use, and a 262K-token context window.

Medium-size Mixture-of-Experts model from Baidu's new Ernie 4.5 line of foundation models.

Granite 4.1 models are new and improved granite models which have gone through an improved post-training pipeline, including supervised finetuning and reinforcement learning alignment, resulting in enhanced tool calling, instruction following, and chat capabilities.

MiniMax M2 is a 230B MoE (10B active) model built for coding and agentic workflows

NVIDIA's 120B vision-language MoE model (12B active) for multimodal reasoning and tool use, with up to 1M tokens of context.

gpt-oss-safeguard-20b and gpt-oss-safeguard-120b are open safety models from OpenAI, building on gpt-oss. Trained to help classify text content based on customizable policies.

FunctionGemma is a lightweight, open model from Google, built as a foundation for creating your own specialized function calling models.

LFM3-VL-2B is Liquid AI’s 1.92B vision-language model for on-device image and video understanding, with reasoning, tool use, and a 128K-token context window.