Best local LLM for mac 8gb
Top 7 open-source picks for mac 8gb, ranked by benchmark performance and real-world fit. Updated monthly.
Pleias-RAG 1B
A 1.2B RAG-specialized model from PleIAs with built-in citation and grounding behavior. Beats most sub-4B small language models on HotPotQA.
DeepSeek R1 Distill Qwen 1.5B
DeepSeek's R1 reasoning distilled into a 1.5B MIT-licensed model with visible chain-of-thought. Hits MATH-500 83.9 and runs on any laptop.
CroissantLLM 1.3B
A 1.3B bilingual French/English model from Sorbonne's MLIA lab, light enough to run on a CPU and shipped with a fully auditable training corpus.
SmolLM2 1.7B Instruct
HuggingFace's 1.7B Apache 2.0 instruct model trained on 11T tokens. Beats Qwen2.5-1.5B by roughly 6 points on MMLU-Pro, making it a top pick at the sub-2B tier.
Qwen 2.5 Coder 1.5B Instruct
Alibaba's smallest Qwen 2.5 Coder at 1.5B parameters under Apache 2.0, covering 92 programming languages. HumanEval 70.7 makes it a serious on-device completion model.
SmolVLM2 2.2B Instruct
HuggingFace's 2.2B vision-language model built on SmolLM2-1.7B, handling image, video, and text in roughly 5.2GB of VRAM. The smallest serious VLM with video understanding.
Granite 4.0 3B Vision
IBM's 3B vision-language model purpose-built for enterprise document extraction, including OCR, table parsing, and form understanding. Apache 2.0 and laptop-deployable.