All LLM Models
Browse 1214 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
Qwen3 4B Heretic
DreamFast · 4.0B · runs from 2.2 GB
4.2K
38Qwen3 4B Heretic is a 4.0B-parameter open language model from DreamFast in the Qwen 3 family. 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.
Vaultgemma 1B
Google · 1.0B · runs from 2.3 GB
Vaultgemma 1B is a 1.0B-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.
Gemma 4 12B IT Abliterated Uncensored
OpenYourMind · 12.0B · runs from 6.1 GB
Gemma 4 12B IT Abliterated Uncensored is a 12.0B-parameter open language model from OpenYourMind 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.
Mistral 7B v0.2
mistral-community · 7.2B · runs from 3.6 GB
Mistral 7B v0.2 is a 7.2B-parameter open language model from mistral-community in the Mistral family. 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.
Josiefied Qwen3 8B Abliterated V1
Goekdeniz-Guelmez · 8.2B · runs from 4.1 GB
Josiefied Qwen3 8B Abliterated V1 is a 8.2B-parameter open language model from Goekdeniz-Guelmez in the Qwen 3 family. 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.
PLLuM 12B Chat
CYFRAGOVPL · 12.2B · runs from 5.9 GB
PLLuM 12B Chat is a 12.2B-parameter open language model from CYFRAGOVPL. 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.
LFM2.5 8B A1B Base
Liquid AI · 8.5B · runs from 4 GB
LFM2.5 8B A1B Base is a 8.5B-parameter open language model from Liquid AI in the LFM2.5 family. It supports a context window of up to 128,000 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Dolphin 2.9 Llama3 8B
dphn · 8.0B · runs from 4.0 GB
Dolphin 2.9 Llama3 8B is a 8.0B-parameter open language model from dphn in the Llama 3 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.
II Medical 8B
Intelligent-Internet · 8.2B · runs from 4.1 GB
II Medical 8B is a 8.2B-parameter open language model from Intelligent-Internet. 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.
Polyglot Ko 1.3B
EleutherAI · 1.4B · runs from 0.7 GB
Polyglot Ko 1.3B is a 1.4B-parameter open language model from EleutherAI. 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.
MythoMax L2 13B
Gryphe · 13B · runs from 7.5 GB
MythoMax L2 13B is a 13B-parameter open language model from Gryphe. 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.
Qwen3.8 27B Escha W2
EschaLabs · 6.3B · runs from 13.4 GB
Qwen3.8 27B Escha W2 is a 6.3B-parameter open language model from EschaLabs in the Qwen 3.8 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.
Huihui CyberStrike OffSec 35B Abliterated
huihui-ai · 36.0B · runs from 15.7 GB
Huihui CyberStrike OffSec 35B Abliterated is a 36.0B-parameter open language model from huihui-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.
Bella Bartender 8B Llama3.1
juiceb0xc0de · 8.0B · runs from 3.0 GB
Bella Bartender 8B Llama3.1 is a 8.0B-parameter open language model from juiceb0xc0de in the Llama 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.
KONI Llama3.1 8B Instruct 20241024
KISTI-KONI · 8.0B · runs from 4.0 GB
KONI Llama3.1 8B Instruct 20241024 is a 8.0B-parameter open language model from KISTI-KONI in the Llama 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.
Saul 7B Instruct V1
Equall · 7.2B · runs from 3.6 GB
Saul 7B Instruct V1 is a 7.2B-parameter open language model from Equall. 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.
Cali 0.1B
Sandroeth · 124M · runs from 0.3 GB
Cali 0.1B is a 124M-parameter open language model from Sandroeth. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
DeepSeek V4 Flash JANG CRACK
dealignai · 33.5B · runs from 14.6 GB
DeepSeek V4 Flash JANG CRACK is a 33.5B-parameter open language model from dealignai 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.
Qwen3 4B Gemini 3.1 Pro Reasoning Distilled
khazarai · 4B · runs from 2.2 GB
Qwen3 4B Gemini 3.1 Pro Reasoning Distilled is a 4B-parameter open language model from khazarai in the Qwen 3 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.
Humanizer Gemma 4 E4b
jialinyyzz · 7.9B · runs from 3.9 GB
Humanizer Gemma 4 E4b is a 7.9B-parameter open language model from jialinyyzz 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.
MiniCPM5 2B Midtrain
OpenBMB · 2.5B · runs from 1.5 GB
MiniCPM5 2B Midtrain is a 2.5B-parameter open language model from OpenBMB in the MiniCPM 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.
OpenMath Nemotron 1.5B
NVIDIA · 1.5B · runs from 1.0 GB
OpenMath Nemotron 1.5B is a 1.5B-parameter open language model from NVIDIA in the Nemotron 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.
Ssiat 1.0
MOGODIK · 255M · runs from 0.5 GB
Ssiat 1.0 is a 255M-parameter open language model from MOGODIK. It supports a context window of up to 1,024 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Qwen3 4B Instruct 2507 Heretic
p-e-w · 4.0B · runs from 2.2 GB
Qwen3 4B Instruct 2507 Heretic is a 4.0B-parameter open language model from p-e-w in the Qwen 3 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.
Bielik 4.5B V3.0 Instruct
speakleash · 4.8B · runs from 10.5 GB
Bielik 4.5B V3.0 Instruct is a 4.8B-parameter open language model from speakleash. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
TildeOpen 30B
TildeAI · 30.7B · runs from 13.8 GB
TildeOpen 30B is a 30.7B-parameter open language model from TildeAI. It supports a context window of up to 65,536 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
MiroThinker 1.7 Mini
miromind-ai · 30.5B · runs from 13.4 GB
MiroThinker 1.7 Mini is a 30.5B-parameter open language model from miromind-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.
G9v3 3B
ai9stars · 3.0B · runs from 1.7 GB
G9v3 3B is a 3.0B-parameter open language model from ai9stars. 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.
Qwen3.6 40B Deckard MTP
PiehSoft · 40B · runs from 18.7 GB
Qwen3.6 40B Deckard MTP is a 40B-parameter open language model from PiehSoft in the Qwen 3.6 family. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Instella MoE 16B A3B Think
amd · 15.9B · runs from 7.5 GB
Instella MoE 16B A3B Think is a 15.9B-parameter open language model from amd. 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.