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
Huihui Ornith 1.5 9B Abliterated
huihui-ai · 9.4B · runs from 4.6 GB
2.4K
33Huihui Ornith 1.5 9B Abliterated is a 9.4B-parameter open language model from huihui-ai in the Ornith 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 Claude Opus Fable5 v2 Thinking Heretic
saidutta69 · 1.1B · runs from 0.8 GB
MiniCPM5 1B Claude Opus Fable5 v2 Thinking Heretic is a 1.1B-parameter open language model from saidutta69 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.
Nemotron Labs Audex 2B
NVIDIA · 2B · runs from 4.4 GB
Nemotron Labs Audex 2B is a 2B-parameter open language model from NVIDIA in the Nemotron family. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Nemotron Terminal 8B
NVIDIA · 8.2B · runs from 4.1 GB
Nemotron Terminal 8B is a 8.2B-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.
Nemotron Content Safety Reasoning 4B
NVIDIA · 4.3B · runs from 2.5 GB
Nemotron Content Safety Reasoning 4B is a 4.3B-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.
Qwen3.6 27B MTP TQ3 4S
YTan2000 · 27B · runs from 12.6 GB
Qwen3.6 27B MTP TQ3 4S is a 27B-parameter open language model from YTan2000 in the Qwen 3.6 family. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
MustaqiLLM
NeuronUz · 5.2B · runs from 10.8 GB
MustaqiLLM is a 5.2B-parameter open language model from NeuronUz. 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 ASCII Condensed
bsaleh03 · 27B · runs from 12.6 GB
Qwen3.8 27B ASCII Condensed is a 27B-parameter open language model from bsaleh03 in the Qwen 3.8 family. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
ZGCM 1 7B
zgcagi · 7.4B · runs from 15.4 GB
ZGCM 1 7B is a 7.4B-parameter open language model from zgcagi. 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.
Emo 1b14b 1T
Allen AI · 13.6B · runs from 6.3 GB
Emo 1b14b 1T is a 13.6B-parameter open language model from Allen AI. 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.
Supra 1.5 50M Instruct Exp
SupraLabs · 52M · runs from 0.3 GB
Supra 1.5 50M Instruct Exp is a 52M-parameter open language model from SupraLabs. It supports a context window of up to 5,120 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Veyra 30M Base
veyra-ai · 35M · runs from 0.3 GB
Veyra 30M Base is a 35M-parameter open language model from veyra-ai. 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.
Kimi K2.6 DFlash
NVIDIA · 3.5B · runs from 1.8 GB
Kimi K2.6 DFlash is a 3.5B-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.
Qwen2.5 Coder 7B Bird Cot
jk200201 · 7.6B · runs from 3.6 GB
Qwen2.5 Coder 7B Bird Cot is a 7.6B-parameter open language model from jk200201 in the Qwen 2.5 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.
Lumma 0.6B Base
FrontiersMind · 649M · runs from 1.8 GB
Lumma 0.6B Base is a 649M-parameter open language model from FrontiersMind. It supports a context window of up to 12,288 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Qwen3.8 Flash Next Tq4a Tq2e G64
manjunathshiva · 16.6B · runs from 7.4 GB
Qwen3.8 Flash Next Tq4a Tq2e G64 is a 16.6B-parameter open language model from manjunathshiva 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.
Finance Llama3 8B
instruction-pretrain · 8.0B · runs from 4.0 GB
Finance Llama3 8B is a 8.0B-parameter open language model from instruction-pretrain 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.
Huihui Qwen3 4B Abliterated v2
huihui-ai · 4.0B · runs from 2.2 GB
Huihui Qwen3 4B Abliterated v2 is a 4.0B-parameter open language model from huihui-ai 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.
UserLM 8B
Microsoft · 8.0B · runs from 4.0 GB
UserLM 8B is a 8.0B-parameter open language model from Microsoft. 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.
MediPhi Instruct
Microsoft · 3.8B · runs from 2.7 GB
MediPhi Instruct is a 3.8B-parameter open language model from Microsoft 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.
Carbon 8B
HuggingFaceBio · 8.3B · runs from 4.1 GB
Carbon 8B is a 8.3B-parameter open language model from HuggingFaceBio. 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.
Atom2.7m
UniversalComputingResearch · 3M · runs from 0.3 GB
Atom2.7m is a 3M-parameter open language model from UniversalComputingResearch. 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.
Smol Llama 101M GQA
BEE-spoke-data · 101M · runs from 0.4 GB
Smol Llama 101M GQA is a 101M-parameter open language model from BEE-spoke-data in the Llama family. 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.
Qwen3.8 Flash Next VQ 2.1bpw
TheDrainFlorist · 24.6B · runs from 10.8 GB
Qwen3.8 Flash Next VQ 2.1bpw is a 24.6B-parameter open language model from TheDrainFlorist 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.
Qwen3 42B A3B 2507 Thinking Abliterated Uncensored TOTAL RECALL v2 Medium MASTER CODER
DavidAU · 42.4B · runs from 18.4 GB
Qwen3 42B A3B 2507 Thinking Abliterated Uncensored TOTAL RECALL v2 Medium MASTER CODER is a 42.4B-parameter open language model from DavidAU 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.
Domyn Small v1.0
domyn · 9.8B · runs from 4.7 GB
Domyn Small v1.0 is a 9.8B-parameter open language model from domyn. 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.
Qwen3.8 9B Distill Uncensored Heretic
petruhonk · 9.4B · runs from 4.6 GB
Qwen3.8 9B Distill Uncensored Heretic is a 9.4B-parameter open language model from petruhonk 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.
NEXUS Coder
fableforge-ai · 1.5B · runs from 1.0 GB
NEXUS Coder is a 1.5B-parameter open language model from fableforge-ai. 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.
Qwen3.5 9B Uncensored
LEONW24 · 9B · runs from 4.2 GB
Qwen3.5 9B Uncensored is a 9B-parameter open language model from LEONW24 in the Qwen 3.5 family. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
JoyAI LLM Flash
jdopensource · 49.3B · runs from 21.9 GB
JoyAI LLM Flash is a 49.3B-parameter open language model from jdopensource. 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.