Snowflake Arctic
Enterprise-focused open models and embeddings; Apache-style licensing and efficient MoE architecture.
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DBRX (Databricks)
Open-license MoE model (Base & Instruct) with strong general performance and active community tooling.
DeepSeek-R1 (and distilled checkpoints)
Open (MIT-licensed) reasoning model with distilled 1.5B–70B local checkpoints; known for chain-of-thought quality.
Mixtral 8x22B (Mistral)
Sparse MoE open model delivering top cost/performance among community LLMs; widely fine-tuned and quantized.
Gemma 2
Google’s open-weight 9B/27B models; practical to run locally and widely adopted for fine-tuning and apps.
Qwen2.5 (Alibaba Qwen)
Latest Qwen series from 0.5B–72B; dense decoder models with strong general, coding and math variants for local use.
Llama 3.2 (Meta)
Family of open-weight models (1B–90B, some with vision) designed for local and edge deployment and strong instruction following.