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
Gemma4 E4B MiniFantasy V1
Nubinu · 8.0B · runs from 16.5 GB
323
5Gemma4 E4B MiniFantasy V1 is a 8.0B-parameter open language model from Nubinu 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.
T5gemma B B Ul2 IT
Google · 591M · runs from 1.3 GB
T5gemma B B Ul2 IT is a 591M-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.
Archaea 74M
GODELEV · 74M · runs from 0.3 GB
Archaea 74M is a 74M-parameter open language model from GODELEV. 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.
Nerdsking Python Coder 7B I
Nerdsking · 7B · runs from 3.3 GB
Nerdsking Python Coder 7B I is a 7B-parameter open language model from Nerdsking. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Covenant 72B
1Covenant · 72.7B · runs from 31.9 GB
Covenant 72B is a 72.7B-parameter open language model from 1Covenant. 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.
Rnj 1.5 Instruct
EssentialAI · 8.3B · runs from 17.2 GB
Rnj 1.5 Instruct is a 8.3B-parameter open language model from EssentialAI. It supports a context window of up to 163,840 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Datarus R1 14B Preview
DatarusAI · 14.8B · runs from 7.0 GB
Datarus R1 14B Preview is a 14.8B-parameter open language model from DatarusAI. 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 Code Reasoning 4B
GetSoloTech · 4B · runs from 2.2 GB
Qwen3 Code Reasoning 4B is a 4B-parameter open language model from GetSoloTech 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.
JOSIE 1.1 4B Instruct
Goekdeniz-Guelmez · 4.0B · runs from 2.2 GB
JOSIE 1.1 4B Instruct is a 4.0B-parameter open language model from Goekdeniz-Guelmez. 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.
Browsesafe
perplexity-ai · 30.5B · runs from 13.4 GB
Browsesafe is a 30.5B-parameter open language model from perplexity-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.
MN VelvetCafe RP 12B
IggyLux · 12.2B · runs from 5.9 GB
MN VelvetCafe RP 12B is a 12.2B-parameter open language model from IggyLux. 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.
SmolLM3 3B ONNX
Hugging Face · 3B · runs from 1.7 GB
SmolLM3 3B ONNX is a 3B-parameter open language model from Hugging Face in the SmolLM 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.
Gemma 3 270M IT Heretic
p-e-w · 268M · runs from 0.4 GB
Gemma 3 270M IT Heretic is a 268M-parameter open language model from p-e-w 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.
Mellum2 12B A2.5B Base Pretrain
JetBrains · 12.1B · runs from 24.7 GB
Mellum2 12B A2.5B Base Pretrain is a 12.1B-parameter open language model from JetBrains in the Mellum 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.
Scout 4B
vanta-research · 4.3B · runs from 2.5 GB
Scout 4B is a 4.3B-parameter open language model from vanta-research. 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.
Protocol Phantom 12B
DarkArtsForge · 12.2B · runs from 5.9 GB
Protocol Phantom 12B is a 12.2B-parameter open language model from DarkArtsForge. 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.
GhostFace 24B V1
Naphula · 23.6B · runs from 10.7 GB
GhostFace 24B V1 is a 23.6B-parameter open language model from Naphula. 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.
Nandi Mini V1.1 600M Intermediate Checkpoint 400GT
FrontiersMind · 649M · runs from 1.8 GB
Nandi Mini V1.1 600M Intermediate Checkpoint 400GT is a 649M-parameter open language model from FrontiersMind. 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.
Huihui MoE 23B A4B Abliterated
huihui-ai · 23.2B · runs from 10.4 GB
Huihui MoE 23B A4B Abliterated is a 23.2B-parameter open language model from huihui-ai. 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.
Turkish Gemma 4B T1 Scout
ytu-ce-cosmos · 4.3B · runs from 2.5 GB
Turkish Gemma 4B T1 Scout is a 4.3B-parameter open language model from ytu-ce-cosmos 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.
BharatGPT 3B Indic
CoRover · 3.2B · runs from 7.1 GB
BharatGPT 3B Indic is a 3.2B-parameter open language model from CoRover. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Param 1 5B
bharatgenai · 5B · runs from 10.4 GB
Param 1 5B is a 5B-parameter open language model from bharatgenai. 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.
LFM2.5 8B A1B Opus Distil
reaperdoesntknow · 8.5B · runs from 4 GB
LFM2.5 8B A1B Opus Distil is a 8.5B-parameter open language model from reaperdoesntknow. 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.
GigaChat3 10B A1.8B Base
ai-sage · 11.5B · runs from 5.5 GB
GigaChat3 10B A1.8B Base is a 11.5B-parameter open language model from ai-sage. 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.
YanoljaNEXT EEVE Instruct 2.8B
yanolja · 2.8B · runs from 2.2 GB
YanoljaNEXT EEVE Instruct 2.8B is a 2.8B-parameter open language model from yanolja. 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.
Gemma 4 E4B Luchador
rpDungeon · 8.0B · runs from 16.5 GB
Gemma 4 E4B Luchador is a 8.0B-parameter open language model from rpDungeon 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.
Mellum2 12B A2.5B Instruct SFT
JetBrains · 12.1B · runs from 5.5 GB
Mellum2 12B A2.5B Instruct SFT is a 12.1B-parameter open language model from JetBrains in the Mellum 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.
MIST Mini 8B Thinking
olaverse · 8.0B · runs from 4.0 GB
MIST Mini 8B Thinking is a 8.0B-parameter open language model from olaverse. 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.
SmolLM2 70M
codelion · 69M · runs from 0.4 GB
SmolLM2 70M is a 69M-parameter open language model from codelion in the SmolLM 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.
StorySupra 10M
SupraLabs · 13M · runs from 0.3 GB
StorySupra 10M is a 13M-parameter open language model from SupraLabs. It supports a context window of up to 256 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.