All LLM Models

Browse 593 LLM models with VRAM requirements, quantization options, and hardware compatibility.

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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.

Yi 1.5 9B

01.AI · 8.8B · runs from 4.3 GB

Yi 1.5 9B is a 8.8B-parameter open language model from 01.AI in the Yi 1.5 family. 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.

L3 8B Stheno V3.2

Sao10K · 8.0B · runs from 4.0 GB

L3 8B Stheno V3.2 is a 8.0B-parameter open language model from Sao10K. 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.

Gemma3 1B IT

litert-community · 1B · runs from 2.2 GB

Gemma3 1B IT is a 1B-parameter open language model from litert-community in the Gemma 3 family. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.

Deepseek Coder 7B Instruct V1.5

DeepSeek · 6.9B · runs from 4.2 GB

Deepseek Coder 7B Instruct V1.5 is a 6.9B-parameter open language model from DeepSeek in the DeepSeek Coder family. 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.

SOLAR 10.7B v1.0

Upstage · 10.7B · runs from 5.3 GB

SOLAR 10.7B v1.0 is a 10.7B-parameter open language model from Upstage in the Solar family. 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.

Phi 3 Medium 4k Instruct

Microsoft · 14.0B · runs from 6.7 GB

Phi 3 Medium 4k Instruct is a 14.0B-parameter open language model from Microsoft in the Phi 3 family. 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.

Phi 1

Microsoft · 1.4B · runs from 0.7 GB

Phi 1 is a 1.4B-parameter open language model from Microsoft in the Phi 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.

Llama 3 ELYZA JP 8B

elyza · 8.0B · runs from 4.0 GB

Llama 3 ELYZA JP 8B is a 8.0B-parameter open language model from elyza 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.

T5gemma 2B 2B Ul2

Google · 5.6B · runs from 2.6 GB

T5gemma 2B 2B Ul2 is a 5.6B-parameter open language model from Google in the Gemma 2 family. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.

GritLM 7B

GritLM · 7.2B · runs from 3.6 GB

GritLM 7B is a 7.2B-parameter open language model from GritLM. 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 50M Instruct

SupraLabs · 52M · runs from 0.3 GB

Supra 50M Instruct is a 52M-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.

Meta Llama 3 8B Instruct Abliterated v3

failspy · 8.0B · runs from 4.0 GB

Meta Llama 3 8B Instruct Abliterated v3 is a 8.0B-parameter open language model from failspy 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.

MagicPrompt Stable Diffusion

Gustavosta · 137M · runs from 0.1 GB

MagicPrompt Stable Diffusion is a 137M-parameter open language model from Gustavosta. 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.

ALLaM 7B Instruct Preview

humain-ai · 7.0B · runs from 4.3 GB

ALLaM 7B Instruct Preview is a 7.0B-parameter open language model from humain-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.

Gemma 3 12B IT Heretic v2

DreamFast · 12.2B · runs from 6.2 GB

Gemma 3 12B IT Heretic v2 is a 12.2B-parameter open language model from DreamFast in the Gemma 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.

MiniCPM5 1B SFT

openbmb · 1.1B · runs from 0.8 GB

MiniCPM5 1B SFT is a 1.1B-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.

Granite Switch 4.1 3B Preview

IBM · 4.1B · runs from 8.8 GB

Granite Switch 4.1 3B Preview is a 4.1B-parameter open language model from IBM 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.

Goedel Prover v2 8B

Goedel-LM · 8.2B · runs from 4.1 GB

Goedel Prover v2 8B is a 8.2B-parameter open language model from Goedel-LM. 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.

Mamba 1.4B HF

State Spaces · 1.4B · runs from 0.6 GB

Mamba 1.4B HF is a 1.4B-parameter open language model from State Spaces. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.

Llama3 8B Chinese Chat

shenzhi-wang · 8.0B · runs from 4.0 GB

Llama3 8B Chinese Chat is a 8.0B-parameter open language model from shenzhi-wang 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.

Yi 1.5 6B Chat

01.AI · 6.1B · runs from 3.0 GB

Yi 1.5 6B Chat is a 6.1B-parameter open language model from 01.AI in the Yi 1.5 family. 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.

Gemma 2 2B Jpn IT

Google · 2.6B · runs from 5.8 GB

Gemma 2 2B Jpn IT is a 2.6B-parameter open language model from Google in the Gemma 2 family. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.

SmolLM 360M Instruct

Hugging Face · 362M · runs from 0.5 GB

SmolLM 360M Instruct is a 362M-parameter open language model from Hugging Face in the SmolLM 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.

EuroLLM 1.7B Instruct

utter-project · 1.7B · runs from 1.2 GB

EuroLLM 1.7B Instruct is a 1.7B-parameter open language model from utter-project. 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.

Dolphin Mistral 24B Venice Edition

dphn · 24.0B · runs from 10.9 GB

Dolphin Mistral 24B Venice Edition is a 24.0B-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.

Qwen2.5 Coder 14B

Alibaba · 14.8B · runs from 7.0 GB

Qwen2.5 Coder 14B is a 14.8B-parameter open language model from Alibaba 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.

Tower Plus 9B

Unbabel · 9.2B · runs from 4.8 GB

Tower Plus 9B is a 9.2B-parameter open language model from Unbabel. 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.

Foundation Sec 8B

fdtn-ai · 8.0B · runs from 4.0 GB

Foundation Sec 8B is a 8.0B-parameter open language model from fdtn-ai. 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 Diffusion 14B

NVIDIA · 13.5B · runs from 6.5 GB

Nemotron Labs Diffusion 14B is a 13.5B-parameter open language model from NVIDIA in the Nemotron 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.

Llm Jp 3.1 1.8B Instruct4

llm-jp · 1.9B · runs from 1.5 GB

Llm Jp 3.1 1.8B Instruct4 is a 1.9B-parameter open language model from llm-jp. 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.