All LLM Models
Browse 739 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
GPT X2 125M CIx Long Context
reaperdoesntknow · 126M · runs from 0.6 GB
490
2GPT X2 125M CIx Long Context is a 126M-parameter open language model from reaperdoesntknow. 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.
GrepSeek Qwen3.5 9B GRPO
alireza7 · 9.4B · runs from 19.4 GB
GrepSeek Qwen3.5 9B GRPO is a 9.4B-parameter open language model from alireza7 in the Qwen 3.5 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.
Hunyuan 0.5B Instruct
tencent · 539M · runs from 0.6 GB
Hunyuan 0.5B Instruct is a 539M-parameter open language model from tencent in the Hunyuan 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.
Qwen3 8B
litert-community · 8B · runs from 3.7 GB
Qwen3 8B is a 8B-parameter open language model from litert-community in the Qwen 3 family. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Kappa 20B 131k Mxfp4
eousphoros · 20.9B · runs from 9.3 GB
Kappa 20B 131k Mxfp4 is a 20.9B-parameter open language model from eousphoros. 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.
Darwin 4B Genesis
FINAL-Bench · 7.5B · runs from 15.6 GB
Darwin 4B Genesis is a 7.5B-parameter open language model from FINAL-Bench. 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.
Phi 4 Quantized.w8a8
RedHatAI · 14.7B · runs from 7.0 GB
Phi 4 Quantized.w8a8 is a 14.7B-parameter open language model from RedHatAI in the Phi 4 family. It supports a context window of up to 16,384 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
UniScientist 30B A3B
UnipatAI · 30.5B · runs from 13.4 GB
UniScientist 30B A3B is a 30.5B-parameter open language model from UnipatAI. 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 350M Extract
LiquidAI · 354M · runs from 0.5 GB
LFM2 350M Extract is a 354M-parameter open language model from LiquidAI. 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.
Falcon3 Mamba 7B Base
TII UAE · 7.3B · runs from 16 GB
Falcon3 Mamba 7B Base is a 7.3B-parameter open language model from TII UAE in the Falcon family. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Dolphin X1 Trinity Nano
dphn · 6.1B · runs from 3.0 GB
Dolphin X1 Trinity Nano is a 6.1B-parameter open language model from dphn in the Phi 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.
Apertus 8B MeditronFO
EPFLiGHT · 8.1B · runs from 4.0 GB
Apertus 8B MeditronFO is a 8.1B-parameter open language model from EPFLiGHT in the Apertus family. 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.
CyberPal2.0 20B
cyber-pal-security · 20.9B · runs from 9.3 GB
CyberPal2.0 20B is a 20.9B-parameter open language model from cyber-pal-security. 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.
Hebatron
HebArabNlpProject · 31.6B · runs from 13.8 GB
Hebatron is a 31.6B-parameter open language model from HebArabNlpProject. 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.
Jan V3.5 4B
janhq · 4.4B · runs from 2.4 GB
Jan V3.5 4B is a 4.4B-parameter open language model from janhq. 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.
Kimi K2.6 Eagle3
NVIDIA · 1.8B · runs from 1.1 GB
Kimi K2.6 Eagle3 is a 1.8B-parameter open language model from NVIDIA in the Kimi K2 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.
II Medical 8B 1706
Intelligent-Internet · 8.2B · runs from 4.1 GB
II Medical 8B 1706 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.
Quark 135M
ThingAI · 135M · runs from 0.4 GB
Quark 135M is a 135M-parameter open language model from ThingAI. 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.
Qwen2.5 Omni 3B MNN
taobao-mnn · 3B · runs from 6.6 GB
Qwen2.5 Omni 3B MNN is a 3B-parameter open language model from taobao-mnn in the Qwen 2.5 family. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
DeepSeek R1 Distill Qwen 14B Abliterated v2
huihui-ai · 14.8B · runs from 7.0 GB
DeepSeek R1 Distill Qwen 14B Abliterated v2 is a 14.8B-parameter open language model from huihui-ai in the DeepSeek R1 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.
Luciole 1B Base
OpenLLM-France · 1.3B · runs from 1.0 GB
Luciole 1B Base is a 1.3B-parameter open language model from OpenLLM-France. 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.
Dhara 70M
codelion · 71M · runs from 0.5 GB
Dhara 70M is a 71M-parameter open language model from codelion. 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.
Gemma3 1B CulturaViva ITA
nickprock · 1000M · runs from 0.8 GB
Gemma3 1B CulturaViva ITA is a 1000M-parameter open language model from nickprock in the Gemma 3 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.
Supra Mini V5 8M
SupraLabs · 8M · runs from 0.3 GB
Supra Mini V5 8M is a 8M-parameter open language model from SupraLabs. 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 14B PARO
z-lab · 1.6B · runs from 1.3 GB
Qwen3 14B PARO is a 1.6B-parameter open language model from z-lab 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.
Claim Extractor 2B Q 2605
principled-intelligence · 2.3B · runs from 5.0 GB
Claim Extractor 2B Q 2605 is a 2.3B-parameter open language model from principled-intelligence. 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.
Nemotron Terminal 14B
NVIDIA · 14.8B · runs from 6.9 GB
Nemotron Terminal 14B is a 14.8B-parameter open language model from NVIDIA in the Nemotron 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.
GLM 4.7 Flash Heretic 1.2.0
darkc0de · 29.9B · runs from 13.8 GB
GLM 4.7 Flash Heretic 1.2.0 is a 29.9B-parameter open language model from darkc0de 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.
Aryabhata 2.0
PhysicsWallahAI · 20.9B · runs from 9.3 GB
Aryabhata 2.0 is a 20.9B-parameter open language model from PhysicsWallahAI. 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.
IFlow ROME
FutureLivingLab · 30.5B · runs from 13.4 GB
IFlow ROME is a 30.5B-parameter open language model from FutureLivingLab. 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.