All LLM Models
Browse 856 LLM models with VRAM requirements, quantization options, and hardware compatibility.
Understanding LLM VRAM Requirements
How much VRAM you need depends on the model size and quantization level. Quantization reduces the precision of model weights, trading small quality losses for significantly lower VRAM usage. For example, a 7B parameter model needs ~14 GB at FP16 but only ~4 GB at Q4_K_M quantization.
Model List
Orca Mini 3B
pankajmathur · 3.4B · runs from 1.6 GB
1.1K
166Orca Mini 3B is a 3.4B-parameter open language model from pankajmathur in the Orca family. It supports a context window of up to 2,048 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Diffusiongemma 26B A4B IT Q4 K M Layers
meshllm · 26B · runs from 57.2 GB
Diffusiongemma 26B A4B IT Q4 K M Layers is a 26B-parameter open language model from meshllm in the Gemma family. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
WebWorld 32B
Alibaba · 32.8B · runs from 14.6 GB
WebWorld 32B is a 32.8B-parameter open language model from Alibaba. It supports a context window of up to 40,960 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
T Pro IT 2.1
t-tech · 32.8B · runs from 14.6 GB
T Pro IT 2.1 is a 32.8B-parameter open language model from t-tech. It supports a context window of up to 40,960 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Phi 4 Mini Flash Reasoning
Microsoft · 3.9B · runs from 2.3 GB
Phi 4 Mini Flash Reasoning is a 3.9B-parameter open language model from Microsoft in the Phi 4 family. It supports a context window of up to 262,144 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
PicoMistral 23M
PicoKittens · 24M · runs from 0.3 GB
PicoMistral 23M is a 24M-parameter open language model from PicoKittens in the Mistral family. It supports a context window of up to 512 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Trinity Large Preview
Arcee AI · 398.6B · runs from 797.8 GB
Trinity Large Preview is a 398.6B-parameter open language model from Arcee AI. It supports a context window of up to 262,144 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Qwen3.6 28B
0xSero · 28.2B · runs from 12.4 GB
Qwen3.6 28B is a 28.2B-parameter open language model from 0xSero in the Qwen 3.6 family. It supports a context window of up to 262,144 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Kumru 2B
vngrs-ai · 2.4B · runs from 1.4 GB
Kumru 2B is a 2.4B-parameter open language model from vngrs-ai. It supports a context window of up to 8,192 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Kumru 2B Base
vngrs-ai · 2.4B · runs from 1.4 GB
Kumru 2B Base is a 2.4B-parameter open language model from vngrs-ai. It supports a context window of up to 8,192 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Turkish Gemma 9B v0.1
ytu-ce-cosmos · 9.2B · runs from 4.8 GB
Turkish Gemma 9B v0.1 is a 9.2B-parameter open language model from ytu-ce-cosmos in the Gemma family. It supports a context window of up to 8,192 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Gemma 3 12B IT Heretic v2
diffusionmodels1254ani · 12.2B · runs from 6.2 GB
Gemma 3 12B IT Heretic v2 is a 12.2B-parameter open language model from diffusionmodels1254ani in the Gemma 3 family. It supports a context window of up to 131,072 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
GLM 4.6 Derestricted v3
ArliAI · 356.8B · runs from 152.3 GB
GLM 4.6 Derestricted v3 is a 356.8B-parameter open language model from ArliAI in the GLM 4 family. It supports a context window of up to 202,752 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
T5gemma L L Ul2 IT
Google · 1.2B · runs from 2.7 GB
T5gemma L L Ul2 IT is a 1.2B-parameter open language model from Google in the Gemma family. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Supergemma4 E4b Abliterated
Jiunsong · 7.5B · runs from 3.7 GB
Supergemma4 E4b Abliterated is a 7.5B-parameter open language model from Jiunsong in the Gemma 4 family. It supports a context window of up to 131,072 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Sweep Next Edit v2 7B
sweepai · 7.6B · runs from 3.6 GB
Sweep Next Edit v2 7B is a 7.6B-parameter open language model from sweepai. It supports a context window of up to 32,768 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Nidum Gemma 2B Uncensored
VibeStudio · 2.5B · runs from 1.4 GB
Nidum Gemma 2B Uncensored is a 2.5B-parameter open language model from VibeStudio in the Gemma 2 family. It supports a context window of up to 8,192 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
VibeThinker 1.5B
WeiboAI · 1.8B · runs from 1.1 GB
VibeThinker 1.5B is a 1.8B-parameter open language model from WeiboAI. It supports a context window of up to 131,072 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Qwen3 8B Abliterated
huihui-ai · 8.2B · runs from 3.8 GB
Qwen3 8B Abliterated is a 8.2B-parameter open language model from huihui-ai in the Qwen 3 family. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
SKT OMNI SUPREME
Shrijanagain · 170.7B · runs from 375.6 GB
SKT OMNI SUPREME is a 170.7B-parameter open language model from Shrijanagain. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Qwen3.6 27B Uncensored HauhauCS Aggressive Safetensor Benchmark
DreamFast · 27.8B · runs from 12.6 GB
Qwen3.6 27B Uncensored HauhauCS Aggressive Safetensor Benchmark is a 27.8B-parameter open language model from DreamFast in the Qwen 3.6 family. It supports a context window of up to 262,144 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
DeepSeek V4 Flash 180B
0xSero · 101.6B · runs from 43.5 GB
DeepSeek V4 Flash 180B is a 101.6B-parameter open language model from 0xSero in the DeepSeek V4 family. It supports a context window of up to 1,048,576 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
MiMo V2.5 Pro Base
XiaomiMiMo · 1023.2B · runs from 435.4 GB
MiMo V2.5 Pro Base is a 1023.2B-parameter open language model from XiaomiMiMo. It supports a context window of up to 1,048,576 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Chadrock 35B Ace Saber Rocmfp4 Mtp
jcbtc · 35B · runs from 16.4 GB
Chadrock 35B Ace Saber Rocmfp4 Mtp is a 35B-parameter open language model from jcbtc. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
CyberSecQwen 4B
lablab-ai-amd-developer-hackathon · 4.0B · runs from 2.2 GB
CyberSecQwen 4B is a 4.0B-parameter open language model from lablab-ai-amd-developer-hackathon in the Qwen family. It supports a context window of up to 262,144 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Internlm Chat 20B
InternLM · 20B · runs from 11.3 GB
Internlm Chat 20B is a 20B-parameter open language model from InternLM in the InternLM family. It supports a context window of up to 4,096 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
GPT OSS 20B Heretic
p-e-w · 20.9B · runs from 9.3 GB
GPT OSS 20B Heretic is a 20.9B-parameter open language model from p-e-w in the GPT-OSS family. It supports a context window of up to 131,072 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Llama 3.2 90B Vision Instruct
Meta · 88.6B · runs from 194.9 GB
Llama 3.2 90B Vision Instruct is a 88.6B-parameter open language model from Meta in the Llama 3 family. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
MiniMax M1 80k
MiniMaxAI · 456.1B · runs from 913.0 GB
MiniMax M1 80k is a 456.1B-parameter open language model from MiniMaxAI in the MiniMax family. It supports a context window of up to 10,240,000 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
T Pro IT 2.0
t-tech · 32.8B · runs from 14.6 GB
T Pro IT 2.0 is a 32.8B-parameter open language model from t-tech. It supports a context window of up to 40,960 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.