Local Models by VRAM: Quick Reference

November 2, 2026

Open-weight models covered by Local Model Watch, grouped by the smallest amount of GPU memory (VRAM) they are estimated to run in. Each figure is computed by this site from the actual size of the distributed files plus a runtime overhead — not quoted from model cards. See our editorial policy for the method.

Models listed under a tier do not fit in the smaller tiers. If you have a 24GB GPU, the 8GB, 12GB, 16GB and 24GB tables all apply to you. Models that don’t fit even the largest tier (80GB) are listed separately at the bottom, since that too is something readers need to know.

The Runs on column lists engines (Ollama / LM Studio via llama.cpp, vLLM, MLX) confirmed to run the model today, matched from each engine’s own model registry and the GGUF/MLX builds we have found; it does not apply to image, video and audio models. “-" means either not applicable or not yet confirmed — see the model’s own article for the reasoning.

Last updated 2026-11-02 (JST). 52 models listed.

Everything that fits your GPU: 8GB / 12GB / 16GB / 24GB

4GB (laptop iGPU / phone class)

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Model Parameters Smallest build Est. memory Runs on Article
LiquidAI/LFM2.5-350M-Diffusion-Exp 425M BF16 (0.8GB) 0.9GB – Read
Cloudflare/clef-flash 9.4B IQ2_M (3.3GB) 4.0GB Ollama / LM Studio, vLLM, MLX Read
FermionResearch/Phonon-2 627M Q8_0 (0.7GB) 0.8GB – Read
apple/LensVLM-9B 9.4B IQ2_M (3.3GB) 4.0GB Ollama / LM Studio, vLLM, MLX Read
togethercomputer/Tev1-0.8B-experimental 873M F32 (1.6GB) 2.0GB vLLM Read
LiquidAI/LFM2.5-VL-3B-DSpark 279M F16 (0.5GB) 0.6GB – Read
togethercomputer/Tev1-4B-experimental 4.7B Q6_K_S (3.4GB) 4.0GB Ollama / LM Studio, vLLM Read
pfnet/plamo-3-610m-fin-instruct 890M F16 (1.7GB) 2.0GB Ollama / LM Studio, vLLM Read
Cactus-Compute/needle3 – Original precision (0.2GB) 0.3GB – Read
tencent/WeVisDoc-4B 4.4B Q5_K_S (2.9GB) 3.5GB – Read
harshatheg/Qwen-2.5-1B-RLCD 1.5B BF16 (2.9GB) 3.5GB MLX Read
Efficient-Large-Model/H3-to-LTX-Latent-Adapter 195M BF16 (0.4GB) 0.4GB – Read
openbmb/MiniCPM5-2B 2.5B Q8_0 (2.5GB) 3.0GB Ollama / LM Studio, vLLM, MLX Read
phasefield-audio/Irodori-TTS-v4.1-Anime 766M F32 (2.9GB) 3.4GB – Read

8GB (RTX 4060 / 3060 Ti, etc.)

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Model Parameters Smallest build Est. memory Runs on Article
google/DiarizationLM-Gemma-4-E4B-v1 8.0B Q4_K_M (4.9GB) 5.9GB Ollama / LM Studio, vLLM Read
Qwen/Qwen3.8-27B 27.8B IQ1_M (6.3GB) 7.5GB Ollama / LM Studio, vLLM, MLX Read
prism-ml/Ternary-Bonsai-2-27B-gguf 27.8B Q1_0 (5.5GB) 6.6GB Ollama / LM Studio, MLX Read

12GB (RTX 4070 / 3060 12GB, etc.)

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Model Parameters Smallest build Est. memory Runs on Article
Cloudflare/clef 27.4B Q2_K (9.9GB) 11.8GB Ollama / LM Studio, vLLM, MLX Read
Altworld/Hemmingway-1 26.9B IQ2_M (9.8GB) 11.8GB Ollama / LM Studio, vLLM, MLX Read
Edge0/Audio8-ASR-Infinite 4.1B BF16 (7.6GB) 9.1GB – Read
ggml-org/MiMo-V2.6-Distill-Qwen-9B-GGUF 9.4B Q8_0 (8.9GB) 10.6GB Ollama / LM Studio Read
bartowski/vectionlabs_Salience-27B-R6-GGUF 27.8B IQ2_M (9.8GB) 11.8GB Ollama / LM Studio Read
tencent/Simple-Attention-Sparsification 4.0B BF16 (7.5GB) 9.0GB – Read
bartowski/TheDrummer_Orion-26B-A4B-v1.1-GGUF 25.8B IQ2_S (9.6GB) 11.5GB Ollama / LM Studio Read
Comfy-Org/YuE2 3.6B BF16 (6.8GB) 8.1GB – Read
bartowski/Gryphe_Pantheon-Reasoning-26B-A4B-1.1-V2-GGUF 26.5B IQ2_S (10.0GB) 12.0GB Ollama / LM Studio Read
m-a-p/YuE2-3B 3.6B BF16 (6.8GB) 8.1GB – Read

16GB (RTX 5060 Ti 16GB / 4060 Ti 16GB, etc.)

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Model Parameters Smallest build Est. memory Runs on Article
orcarouter/OrcaSAQ-2-27B 27.8B EXL3 (11.4GB) 13.7GB vLLM Read
agentionai/Signal-3.8-27B-GGUF 27.8B IQ4_XS (13.3GB) 15.9GB Ollama / LM Studio Read
nex-agi/Nex-N2.5-mini 35.1B Q2_K (12.9GB) 15.5GB Ollama / LM Studio, vLLM, MLX Read
Jackrong/Qwopus3.8-27B-Flash-GGUF 27.8B Q3_K_M (12.6GB) 15.1GB Ollama / LM Studio Read

24GB (RTX 4090 / 3090, etc.)

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Model Parameters Smallest build Est. memory Runs on Article
nvidia/PixelUMM 8.2B BF16 (15.3GB) 18.3GB – Read
ggml-org/OpenJev-GGUF 27.4B Q4_K_M (17.7GB) 21.2GB Ollama / LM Studio Read
XingChen-AGI/Xing4.0-29B-A4B 31.2B IQ4_NL (18.7GB) 22.5GB Ollama / LM Studio, MLX Read
inclusionAI/Realtime-Venus – Original precision(Realtime-Venus-Audio) (17.5GB) 20.9GB – Read
EleutherAI/olmo3-7b-sdf-sft-clean150 7.3B BF16 (13.6GB) 16.3GB vLLM Read
Edge0/Edge0-35B-A3B-preview 36.0B MLX 4bit (18.2GB) 21.8GB vLLM, MLX Read

32GB (RTX 5090, etc.)

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Model Parameters Smallest build Est. memory Runs on Article
MiniMaxAI/MiniMax-H3 – Q3_K_XL (26.5GB) 31.8GB – Read
IFM/K2-Horizon-32B-NVFP4 – NVFP4 (21.7GB) 26.0GB vLLM Read
IFM/K2-Horizon-MoVA-36B-A4B-GGUF 37.4B Q5_K_M (24.6GB) 29.5GB Ollama / LM Studio Read

80GB class (A100 / H100)

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Model Parameters Smallest build Est. memory Runs on Article
elyza/ELYZA-Thinking-1.0-llm-jp-4-32b-a3b 32.1B BF16 (59.9GB) 71.8GB vLLM Read

Over 80GB (datacenter GPU / multi-GPU required)

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Model Parameters Smallest build Est. memory Runs on Article
Qwen/Qwen3.8-Flash-Next 180.0B BF16 (335.3GB) 402.3GB vLLM Read
NaiveAI/Naive-N0.5-Flash – Original precision (575.4GB) 690.5GB – Read
ggml-org/GLM-5.3-Flash-GGUF 321.3B Q2_K (124.6GB) 149.5GB Ollama / LM Studio Read
XiaomiMiMo/MiMo-V2.6-Pro-RL – Q2_K (347.8GB) 417.4GB Ollama / LM Studio, vLLM Read
deepseek-ai/DeepSeek-V4-Pro-0813 1650.5B FP8 (831.4GB) 997.7GB Ollama / LM Studio, vLLM Read
IFM/K2-Horizon-375B-A23B-NVFP4 – NVFP4 (213.8GB) 256.6GB vLLM Read
ggml-org/MiMo-V2.6-Flash-RL-GGUF – Q2_K (117.5GB) 141.1GB Ollama / LM Studio Read
bartowski/Intern-S2-397B-GGUF 403.4B IQ1_S (85.3GB) 102.4GB Ollama / LM Studio Read
deepseek-ai/DeepSeek-V4.1-Flash 763.2B FP8 (475.3GB) 570.3GB vLLM Read
nvidia/DeepSeek-V4-Pro-0813-nvfp4-DSpark 1650.5B NVFP4 (837.4GB) 1004.9GB vLLM Read
nex-agi/Nex-N2.5-Pro 396.8B IQ1_S (81.8GB) 98.2GB Ollama / LM Studio, vLLM Read