Conversation models that run on 64 GB

551 models with published weights that fit in 64 GB — a workstation. Counted at four-bit quantisation, weights only, leaving the machine about a third of its memory and a gigabyte for context: room for roughly 67 billion parameters. A mixture of experts is counted in full, because it is held in full even though only a few experts compute. 551 in all, a hundred to a page; this is page 3 of 6.

A workstation, or a well-specified Mac. Seventy-billion-parameter models fit at four-bit, which is the class where local output stops being obviously worse than the hosted models people pay for. Loading takes real time and the machine will be warm.

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.

• internlm3-8b-instructinternlm8.8B≈5.7 GB at 4-bit
• Granite 4.1 8BIBM watsonx.ai8.8B≈5.7 GB at 4-bit
• Cosmos-Reason2-8BNVIDIA8.8B≈5.7 GB at 4-bit
• Huihui-Qwen3-VL-8B-Instruct-abliteratedhuihui-ai8.8B≈5.7 GB at 4-bit
• MAI-UI-8BTongyi-MAI8.8B≈5.7 GB at 4-bit
• Qwen3 VL 8B InstructAlibaba8.8B≈5.7 GB at 4-bit8 also selling it hosted
• gemma-7bGoogle8.5B≈5.5 GB at 4-bit1 also selling it hosted
• gemma-7b-itGoogle8.5B≈5.5 GB at 4-bit3 also selling it hosted
• jetmoe-8bJetMoE8.5B≈5.5 GB at 4-bit
• LFM2.5-8B-A1BLiquid AI8.5B≈5.5 GB at 4-bit
• idefics2-8bHuggingFaceM48.4B≈5.5 GB at 4-bit
• LFM2-8B-A1BLiquid AI8.3B≈5.4 GB at 4-bit
• Cosmos-Reason1-7BNVIDIA8.3B≈5.4 GB at 4-bit
• Fara-7BMicrosoft8.3B≈5.4 GB at 4-bit
• Holo1-7BH Company8.3B≈5.4 GB at 4-bit
• Qwen2.5-VL-7B-InstructAlibaba8.3B≈5.4 GB at 4-bit1 also selling it hosted
• Qwen2-VL-7B-InstructAlibaba8.3B≈5.4 GB at 4-bit1 also selling it hosted
• UI-TARS-7B-DPOByteDance Seed8.3B≈5.4 GB at 4-bit
• zeta-2Zed Industries8.3B≈5.4 GB at 4-bit
• VLM_WebSight_finetunedHuggingFaceM48.2B≈5.3 GB at 4-bit
• II-Medical-8BIntelligent Internet8.2B≈5.3 GB at 4-bit
• MiniCPM4.1-8BOpenBMB8.2B≈5.3 GB at 4-bit
• granite-3.0-8b-instructIBM Granite8.2B≈5.3 GB at 4-bit1 also selling it hosted
• dolphin-2.9-llama3-8bDolphin8.0B≈5.2 GB at 4-bit
• UserLM-8bMicrosoft8.0B≈5.2 GB at 4-bit
• Llama3-ChatQA-1.5-8BNVIDIA8.0B≈5.2 GB at 4-bit
• DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensoredaifeifei7988.0B≈5.2 GB at 4-bit
• KernelLLMfacebook8.0B≈5.2 GB at 4-bit
• Llama-3-8B-Instruct-Gradient-1048kDeepSky8.0B≈5.2 GB at 4-bit
• Llama-3-8B-WebMcGill NLP Group8.0B≈5.2 GB at 4-bit
• Llama-3.1-Nemotron-Nano-8B-v1NVIDIA8.0B≈5.2 GB at 4-bit
• Llama-3.1-SuperNova-LiteArcee AI8.0B≈5.2 GB at 4-bit
• Llama3-8B-Chinese-Chatshenzhi-wang8.0B≈5.2 GB at 4-bit
• Meta-Llama-3.1-8B-Instruct-abliteratedmlabonne8.0B≈5.2 GB at 4-bit
• llama-3-Korean-Bllossom-8BMLP-LAB8.0B≈5.2 GB at 4-bit
• aya-23-8BCohere Labs8.0B≈5.2 GB at 4-bit
• c4ai-command-r7b-12-2024Cohere Labs8.0B≈5.2 GB at 4-bit
• Molmo-7B-D-0924Ai28.0B≈5.2 GB at 4-bit
• LLaDA-8B-InstructGSAI-ML8.0B≈5.2 GB at 4-bit
• Apertus-8B-2509swiss-ai8.0B≈5.2 GB at 4-bit
• Apertus-8B-Instruct-2509swiss-ai8.0B≈5.2 GB at 4-bit1 also selling it hosted
• Apertus-v1.5-8Bswiss-ai8.0B≈5.2 GB at 4-bit1 also selling it hosted
• Bio-Medical-MultiModal-Llama-3-8B-V1ContactDoctor8.0B≈5.2 GB at 4-bit
• Foundation-Sec-8Bfdtn-ai8.0B≈5.2 GB at 4-bit
• Hermes 2 Pro Llama 3 8BNous Research8.0B≈5.2 GB at 4-bit2 also selling it hosted
• Idefics3-8B-Llama3HuggingFaceM48.0B≈5.2 GB at 4-bit
• L3 8B Stheno V3.2Sao10K8.0B≈5.2 GB at 4-bit4 also selling it hosted
• L3-8B-Lunaris-v1Sao10K8.0B≈5.2 GB at 4-bit2 also selling it hosted
• Llama-3-8B-Lexi-UncensoredOrenguteng8.0B≈5.2 GB at 4-bit
• Llama-3-ELYZA-JP-8Belyza8.0B≈5.2 GB at 4-bit
• Llama-3-Groq-8B-Tool-UseGroq8.0B≈5.2 GB at 4-bit
• Llama-3-Open-Ko-8Bbeomi8.0B≈5.2 GB at 4-bit
• Llama-3.1-8B-Lexi-Uncensored-V2Orenguteng8.0B≈5.2 GB at 4-bit1 also selling it hosted
• Llama-3.1-Nemotron-Nano-VL-8B-V1NVIDIA8.0B≈5.2 GB at 4-bit
• Llama-3.1-Storm-8Bakjindal532448.0B≈5.2 GB at 4-bit
• Llama-3.1-Tulu-3-8BAllen Institute for AI (Ai2)8.0B≈5.2 GB at 4-bit
• Llama3-OpenBioLLM-8Baaditya8.0B≈5.2 GB at 4-bit
• Llama3-TAIDE-LX-8B-Chat-Alpha1taide8.0B≈5.2 GB at 4-bit
• Meta-Llama-Guard-2-8BMeta Llama8.0B≈5.2 GB at 4-bit1 also selling it hosted
• MiniCPM4-8BOpenBMB8.0B≈5.2 GB at 4-bit
• Mistral-NeMo-Minitron-8B-BaseNVIDIA8.0B≈5.2 GB at 4-bit
• NeuralDaredevil-8B-abliteratedmlabonne8.0B≈5.2 GB at 4-bit
• WeDLM-8B-InstructTencent Hunyuan8.0B≈5.2 GB at 4-bit
• aya-vision-8bCohere Labs8.0B≈5.2 GB at 4-bit
• deepthought-8b-llama-v0.01-alpharuliad8.0B≈5.2 GB at 4-bit
• granite-3.1-8b-instructIBM Granite8.0B≈5.2 GB at 4-bit
• granite-3.3-8b-instructIBM Granite8.0B≈5.2 GB at 4-bit1 also selling it hosted
• Ling-3.0-tinyInclusionAI7.9B≈5.1 GB at 4-bit
• EXAONE-3.0-7.8B-InstructLG AI Research7.8B≈5.1 GB at 4-bit
• phixtral-4x2_8mlabonne7.8B≈5.1 GB at 4-bit
• EXAONE-3.5-7.8B-InstructLGAI-EXAONE7.8B≈5.1 GB at 4-bit
• internlm2_5-7b-chatinternlm7.7B≈5.0 GB at 4-bit
• Qwen-7B-ChatAlibaba7.7B≈5.0 GB at 4-bit
• Qwen1.5-7B-ChatAlibaba7.7B≈5.0 GB at 4-bit
• DeepHat-V1-7BDeepHat7.6B≈5.0 GB at 4-bit
• Marco-o1ATH-MaaS7.6B≈5.0 GB at 4-bit
• Qwen2.5-7B-Instruct-1MAlibaba7.6B≈5.0 GB at 4-bit
• VulnLLM-R-7BVirtueAI7.6B≈5.0 GB at 4-bit
• falcon-H1R-7BTechnology Innovation Institute7.6B≈4.9 GB at 4-bit
• llava-v1.6-mistral-7bliuhaotian7.6B≈4.9 GB at 4-bit
• starvector-8b-im2svgstarvector7.5B≈4.9 GB at 4-bit
• falcon-mamba-7bTechnology Innovation Institute7.3B≈4.7 GB at 4-bit
• Starling-LM-7B-alphaBerkeley-Nest7.2B≈4.7 GB at 4-bit
• Starling-LM-7B-betaNexusflow7.2B≈4.7 GB at 4-bit
• dolphin-2.1-mistral-7bDolphin7.2B≈4.7 GB at 4-bit
• dolphin-2.2.1-mistral-7bDolphin7.2B≈4.7 GB at 4-bit
• dolphin-2.8-mistral-7b-v02Dolphin7.2B≈4.7 GB at 4-bit
• openchat-3.5-0106openchat7.2B≈4.7 GB at 4-bit
• Mistral-7B-v0.1Mistral AI7.2B≈4.7 GB at 4-bit
• neural-chat-7b-v3-1Intel7.2B≈4.7 GB at 4-bit
• zephyr-7b-alphaHugging Face H47.2B≈4.7 GB at 4-bit
• zephyr-7b-betaHugging Face H47.2B≈4.7 GB at 4-bit1 also selling it hosted
• falcon-7bTechnology Innovation Institute7.2B≈4.7 GB at 4-bit
• falcon-7b-instructTechnology Innovation Institute7.2B≈4.7 GB at 4-bit
• bloom-7b1BigScience Workshop7.1B≈4.6 GB at 4-bit
• llava-1.5-7b-hfLlava Hugging Face7.1B≈4.6 GB at 4-bit
• DeciLM-7BDeci AI7.0B≈4.6 GB at 4-bit
• chameleon-7bfacebook7.0B≈4.6 GB at 4-bit
• ALLaM-7B-Instruct-previewHUMAIN7.0B≈4.6 GB at 4-bit
• AlphaMonarch-7Bmlabonne7.0B≈4.5 GB at 4-bit

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