Conversation models that run on 96 GB
600 models with published weights that fit in 96 GB — a MacBook Pro with 96. Counted at four-bit quantisation, weights only, leaving the machine about a third of its memory and a gigabyte for context: room for roughly 102 billion parameters. A mixture of experts is counted in full, because it is held in full even though only a few experts compute. 600 in all, a hundred to a page; this is page 6 of 6.
An Apple configuration for people who intend to run models rather than occasionally try one. Comfortably holds the seventy-billion class with a very long context, or a mixture-of-experts model whose active parameters are few but whose weights are all resident.
Models that answer in prose across whatever subject you put to them. This is the largest category and the least differentiated: most of them are competent at most things, so the choice usually comes down to price, context length and how the maker behaves about availability. Look at what a model costs per million tokens in and out — the output rate is often four or five times the input rate, and it is the one that decides your bill.
- Qwen2.5-1.5B-InstructAlibaba1.5B≈1.0 GB at 4-bit1 also selling it hosted
- ReaderLM-v2Jina AI1.5B≈1.0 GB at 4-bit
- reader-lm-1.5bJina AI1.5B≈1.0 GB at 4-bit
- Hymba-1.5B-InstructNVIDIA1.5B≈1.0 GB at 4-bit
- Arch-Router-1.5Bkatanemo1.5B≈1.0 GB at 4-bit
- Hymba-1.5B-BaseNVIDIA1.5B≈1.0 GB at 4-bit
- HyperCLOVAX-SEED-Text-Instruct-1.5BHyperCLOVA X1.5B≈1.0 GB at 4-bit
- Qwen2-1.5B-InstructAlibaba1.5B≈1.0 GB at 4-bit1 also selling it hosted
- starvector-1b-im2svgstarvector1.4B≈0.9 GB at 4-bit
- phi-1Microsoft1.4B≈0.9 GB at 4-bit
- phi-1_5Microsoft1.4B≈0.9 GB at 4-bit
- Ouro-1.4BByteDance1.4B≈0.9 GB at 4-bit
- MiniCPM-V-4.6OpenBMB1.3B≈0.8 GB at 4-bit
- gpt-neo-1.3BEleutherAI1.3B≈0.8 GB at 4-bit
- nllb-200-distilled-1.3Bfacebook1.3B≈0.8 GB at 4-bit
- opt-1.3bfacebook1.3B≈0.8 GB at 4-bit
- EXAONE-4.0-1.2BLGAI-EXAONE1.3B≈0.8 GB at 4-bit
- SpatialLM-Llama-1BManycore Research1.2B≈0.8 GB at 4-bit
- LFM2.5-1.2B-BaseLiquid AI1.2B≈0.8 GB at 4-bit
- LFM2.5-1.2B-JPLiquid AI1.2B≈0.8 GB at 4-bit
- HRM-Text-1BSapient AI1.2B≈0.8 GB at 4-bit
- LFM2-1.2BLiquid AI1.2B≈0.8 GB at 4-bit
- LFM2.5-1.2B-InstructLiquid AI1.2B≈0.8 GB at 4-bit
- MinerU2.5-2509-1.2BOpenDataLab1.2B≈0.8 GB at 4-bit
- TinyLlama-1.1B-Chat-v1.0TinyLlama1.1B≈0.7 GB at 4-bit
- TinyLlama-1.1B-intermediate-step-1431k-3TTinyLlama1.1B≈0.7 GB at 4-bit
- MiniCPM5-1BOpenBMB1.1B≈0.7 GB at 4-bit
- vaultgemma-1bGoogle1.0B≈0.7 GB at 4-bit
- Gemma3-1B-ITLiteRT Community (FKA TFLite)1.0B≈0.7 GB at 4-bit
- MolmoE-1B-0924Allen Institute for AI (Ai2)1.0B≈0.7 GB at 4-bit
- antares-1bfdtn-ai1.0B≈0.7 GB at 4-bit
- granite-4.0-h-1bIBM Granite1.0B≈0.7 GB at 4-bit
- gemma-3-1b-itGoogle1.0B≈0.6 GB at 4-bit
- gemma-3-1b-ptGoogle1.0B≈0.6 GB at 4-bit
- CLIP-ViT-H-14-laion2B-s32B-b79KLAION eV1.0B≈0.6 GB at 4-bit
- MobileLLM-R1-950MAI at Meta0.9B≈0.6 GB at 4-bit
- siglip-so400m-patch14-384Google0.9B≈0.6 GB at 4-bit
- bitnet-b1.58-2B-4TMicrosoft0.8B≈0.6 GB at 4-bit
- gpt2-largeOpenAI community0.8B≈0.5 GB at 4-bit
- t5gemma-2-270m-270mGoogle0.8B≈0.5 GB at 4-bit
- Florence-2-largeMicrosoft0.8B≈0.5 GB at 4-bit
- Florence-2-large-ftMicrosoft0.8B≈0.5 GB at 4-bit
- FastVLM-0.5BApple0.8B≈0.5 GB at 4-bit
- Qwen3-0.6BAlibaba0.8B≈0.5 GB at 4-bit1 also selling it hosted
- Qwen3-0.6B-BaseAlibaba0.6B≈0.4 GB at 4-bit
- bloom-560mBigScience Workshop0.6B≈0.4 GB at 4-bit
- Qwen1.5-0.5BAlibaba0.5B≈0.3 GB at 4-bit
- Qwen2-0.5BAlibaba0.5B≈0.3 GB at 4-bit
- reader-lm-0.5bJina AI0.5B≈0.3 GB at 4-bit
- Qwen2-0.5B-InstructAlibaba0.5B≈0.3 GB at 4-bit
- Qwen2.5-0.5BAlibaba0.5B≈0.3 GB at 4-bit
- Qwen2.5-0.5B-InstructAlibaba0.5B≈0.3 GB at 4-bit1 also selling it hosted
- blip-image-captioning-largeSalesforce0.5B≈0.3 GB at 4-bit
- LFM2.5-VL-450MLiquid AI0.4B≈0.3 GB at 4-bit
- PairRMLLM Blender0.4B≈0.3 GB at 4-bit
- CLIP-GmP-ViT-L-14zer0int0.4B≈0.3 GB at 4-bit
- circuit-sparsityOpenAI0.4B≈0.3 GB at 4-bit
- bart-large-cnnAI at Meta0.4B≈0.3 GB at 4-bit
- ModernBERT-largeAnswer.AI0.4B≈0.3 GB at 4-bit
- blip-vqa-baseSalesforce0.4B≈0.3 GB at 4-bit
- LFM2-350MLiquid AI0.4B≈0.2 GB at 4-bit
- LFM2.5-350MLiquid AI0.4B≈0.2 GB at 4-bit
- nougat-basefacebook0.3B≈0.2 GB at 4-bit
- bert-large-uncased-whole-word-masking-finetuned-squadBERT community0.3B≈0.2 GB at 4-bit
- mdeberta-v3-base-squad2timpal0l0.3B≈0.2 GB at 4-bit
- functiongemma-270m-itGoogle0.3B≈0.2 GB at 4-bit
- gemma-3-270mGoogle0.3B≈0.2 GB at 4-bit
- gemma-3-270m-itGoogle0.3B≈0.2 GB at 4-bit
- granite-docling-258MIBM Granite0.3B≈0.2 GB at 4-bit
- Florence-2-baseMicrosoft0.2B≈0.2 GB at 4-bit
- t5-baseT5 community0.2B≈0.1 GB at 4-bit
- chatgpt_paraphraser_on_T5_baseHumarin0.2B≈0.1 GB at 4-bit
- BiRefNetZhengPeng70.2B≈0.1 GB at 4-bit
- RMBG-2.0BRIA AI0.2B≈0.1 GB at 4-bit
- bert-base-multilingual-casedBERT community0.2B≈0.1 GB at 4-bit
- gpt-neo-125mEleutherAI0.2B≈0.1 GB at 4-bit
- ModernBERT-baseAnswer.AI0.1B≈0.1 GB at 4-bit
- MagicPrompt-Stable-DiffusionGustavosta0.1B≈0.1 GB at 4-bit
- gpt2OpenAI community0.1B≈0.1 GB at 4-bit
- distilbert-base-multilingual-caseddistilbert0.1B≈0.1 GB at 4-bit
- SmolLM2-135MHuggingFaceTB0.1B≈0.1 GB at 4-bit
- roberta-baseFacebook AI community0.1B≈0.1 GB at 4-bit
- roberta-base-squad2deepset0.1B≈0.1 GB at 4-bit
- bert-base-uncasedBERT community0.1B≈0.1 GB at 4-bit
- bert-base-casedBERT community0.1B≈0.1 GB at 4-bit
- bert-base-chineseBERT community0.1B≈0.1 GB at 4-bit
- BEN2Prama LLC0.1B≈0.1 GB at 4-bit
- distilgpt2DistilBERT community0.1B≈0.1 GB at 4-bit
- vit-base-patch16-224Google0.1B≈0.1 GB at 4-bit
- nsfw_image_detectionFalcons.ai0.1B≈0.1 GB at 4-bit
- distilbert-base-uncasedDistilBERT community0.1B≈0.0 GB at 4-bit
- t5-smallT5 community0.1B≈0.0 GB at 4-bit
- RMBG-1.4BRIA AI0.0B≈0.0 GB at 4-bit
- detr-resnet-50AI at Meta0.0B≈0.0 GB at 4-bit
- table-transformer-structure-recognitionMicrosoft0.0B≈0.0 GB at 4-bit
- table-transformer-detectionMicrosoft0.0B≈0.0 GB at 4-bit
- segformer_b2_clothesmattmdjaga0.0B≈0.0 GB at 4-bit
- segformer-b0-finetuned-ade-512-512NVIDIA0.0B≈0.0 GB at 4-bit
- Ornith-1.0-9BOrnith0.0B≈0.0 GB at 4-bit
- AutoGLM-Phone-9BZ.ai0.0B≈0.0 GB at 4-bit