All LLM Models
Browse 1242 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
Kimi K2.6 Dspark
novita · 3.1B · runs from 1.5 GB
1.2K
14Kimi K2.6 Dspark is a 3.1B-parameter open language model from novita in the Kimi K2 family. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Parable Granite 4.1 8B Claude Fable 5
AnkitAI · 8.4B · runs from 4.2 GB
Parable Granite 4.1 8B Claude Fable 5 is a 8.4B-parameter open language model from AnkitAI in the Granite 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.
GPT OSS 20B Heretic Ara v3
p-e-w · 21.5B · runs from 9.5 GB
GPT OSS 20B Heretic Ara v3 is a 21.5B-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.
Hunyuan 0.5B Pretrain
Tencent · 539M · runs from 0.6 GB
Hunyuan 0.5B Pretrain 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.
Raptor V0.5 8B A1B JANG 6M
OsaurusAI · 6.2B · runs from 12.9 GB
Raptor V0.5 8B A1B JANG 6M is a 6.2B-parameter open language model from OsaurusAI. 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.
Orca Mini 3B
pankajmathur · 3.4B · runs from 1.6 GB
Orca 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 12.2 GB
Diffusiongemma 26B A4B IT Q4 K M Layers is a 26B-parameter open language model from meshllm in the DiffusionGemma family. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Ternary Bonsai 27B Antidoom DSpark
Danny-Dasilva · 27B · runs from 12.6 GB
Ternary Bonsai 27B Antidoom DSpark is a 27B-parameter open language model from Danny-Dasilva. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
ViAble 1.7 9B
bogairff55 · 9.0B · runs from 18.5 GB
ViAble 1.7 9B is a 9.0B-parameter open language model from bogairff55. 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.
WebWorld 8B
Alibaba · 8.2B · runs from 4.1 GB
WebWorld 8B is a 8.2B-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.
ToolWeave Stage3
muradil211 · 4.4B · runs from 2.4 GB
ToolWeave Stage3 is a 4.4B-parameter open language model from muradil211. 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.
Minicpm5 2B Distilled Reasoning
jigs97022 · 2.5B · runs from 1.5 GB
Minicpm5 2B Distilled Reasoning is a 2.5B-parameter open language model from jigs97022 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.
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.
LFM2 350M Extract
Liquid AI · 354M · runs from 0.5 GB
LFM2 350M Extract is a 354M-parameter open language model from Liquid AI in the LFM2 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.
Qwen3.8 27B DSpark Agentic
tiyuvta · 27B · runs from 11.8 GB
Qwen3.8 27B DSpark Agentic is a 27B-parameter open language model from tiyuvta 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.
Ternary Bonsai 2 27B Vllm
fraserprice · 3.5B · runs from 7.8 GB
Ternary Bonsai 2 27B Vllm is a 3.5B-parameter open language model from fraserprice. 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.
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.
GLM 4.7 Flash Heretic
Olafangensan · 29.9B · runs from 13.8 GB
GLM 4.7 Flash Heretic is a 29.9B-parameter open language model from Olafangensan 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.
Qwen35b Agent R2O3
hotdogs · 34.7B · runs from 15.1 GB
Qwen35b Agent R2O3 is a 34.7B-parameter open language model from hotdogs 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.
GLM 5.3 Flash EXL3 K2
vcruz305 · 48.9B · runs from 22.6 GB
GLM 5.3 Flash EXL3 K2 is a 48.9B-parameter open language model from vcruz305 in the GLM 5 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.
LFM2.5 230M Chess
mlabonne · 231M · runs from 0.5 GB
LFM2.5 230M Chess is a 231M-parameter open language model from mlabonne 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.
Cagliostro V1
bench-labs · 157M · runs from 0.5 GB
Cagliostro V1 is a 157M-parameter open language model from bench-labs. 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.
Qwen3.6 27B M
trymirai · 14.1B · runs from 6.6 GB
Qwen3.6 27B M is a 14.1B-parameter open language model from trymirai in the Qwen 3.6 family. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Qwen3.5 4B EmperoAI Qwen3.8 Distill Heretic Abliterated
insraq · 4.5B · runs from 9.6 GB
Qwen3.5 4B EmperoAI Qwen3.8 Distill Heretic Abliterated is a 4.5B-parameter open language model from insraq 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.
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.
MiniCPM5 1B CoreAI
mlboydaisuke · 1B · runs from 2.2 GB
MiniCPM5 1B CoreAI is a 1B-parameter open language model from mlboydaisuke in the MiniCPM family. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Ice AI
darkps · 8.2B · runs from 4.1 GB
Ice AI is a 8.2B-parameter open language model from darkps. 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.
Gemma 4 12B Agentic Fable5 Composer2.5 v2 3.5x Tau2
yuxinlu1 · 12.0B · runs from 6.1 GB
Gemma 4 12B Agentic Fable5 Composer2.5 v2 3.5x Tau2 is a 12.0B-parameter open language model from yuxinlu1 in the Gemma 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.
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.