All LLM Models

Browse 856 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.

Qwen3 4B Z Image Engineer V4

BennyDaBall · 4B · runs from 1.9 GB

Qwen3 4B Z Image Engineer V4 is a 4B-parameter open language model from BennyDaBall in the Qwen 3 family. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.

Aya 23 8B

Cohere · 8.0B · runs from 17.7 GB

Aya 23 8B is a 8.0B-parameter open language model from Cohere in the Aya family. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.

Olmo 3 1125 32B

Allen AI · 32.2B · runs from 65.3 GB

Olmo 3 1125 32B is a 32.2B-parameter open language model from Allen AI in the OLMo 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.

Tiny Aya Global

Cohere · 3.3B · runs from 7.4 GB

Tiny Aya Global is a 3.3B-parameter open language model from Cohere in the Aya family. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.

Ouro 2.6B Thinking

ByteDance · 2.6B · runs from 6.3 GB

Ouro 2.6B Thinking is a 2.6B-parameter open language model from ByteDance. 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.

LocoOperator 4B

LocoreMind · 4.0B · runs from 2.2 GB

LocoOperator 4B is a 4.0B-parameter open language model from LocoreMind. 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.

ChatCodeFunctions

Deepseek Coder 1.3B Base

DeepSeek · 1.3B · runs from 1.3 GB

Deepseek Coder 1.3B Base is a 1.3B-parameter open language model from DeepSeek in the DeepSeek Coder 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.

Phi 3 Small 8k Instruct

Microsoft · 7.4B · runs from 15.3 GB

Phi 3 Small 8k Instruct is a 7.4B-parameter open language model from Microsoft in the Phi 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.

Helium 1 2B

kyutai · 2.0B · runs from 1.4 GB

Helium 1 2B is a 2.0B-parameter open language model from kyutai. 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

DreamFast · 12.2B · runs from 6.2 GB

Gemma 3 12B IT Heretic 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.

Qwen2 57B A14B Instruct

Alibaba · 57.4B · runs from 24.8 GB

Qwen2 57B A14B Instruct is a 57.4B-parameter open language model from Alibaba in the Qwen 2 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.

Mistral Small 24B Instruct 2501 Quantized.w8a8

RedHatAI · 23.6B · runs from 10.7 GB

Mistral Small 24B Instruct 2501 Quantized.w8a8 is a 23.6B-parameter open language model from RedHatAI in the Mistral 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.

Hermes 2 Pro Llama 3 8B

Nous Research · 8.0B · runs from 4.0 GB

Hermes 2 Pro Llama 3 8B is a 8.0B-parameter open language model from Nous Research 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.

Llama 2 70B HF

Meta · 69.0B · runs from 151.8 GB

Llama 2 70B HF is a 69.0B-parameter open language model from Meta in the Llama 2 family. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.

Qwen3.5 4B DFlash

z-lab · 537M · runs from 1.4 GB

Qwen3.5 4B DFlash is a 537M-parameter open language model from z-lab 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.

LLaDA2.1 Mini

Inclusion AI · 16.3B · runs from 32.9 GB

LLaDA2.1 Mini is a 16.3B-parameter open language model from Inclusion 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.

Llama 3.2 Korean Bllossom 3B

Bllossom · 3.2B · runs from 1.9 GB

Llama 3.2 Korean Bllossom 3B is a 3.2B-parameter open language model from Bllossom in the Llama 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.

Granite 3.2 8B Instruct

IBM · 8.2B · runs from 4.1 GB

Granite 3.2 8B Instruct is a 8.2B-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.

GLM 4 9B 0414

zai-org · 9.4B · runs from 4.4 GB

GLM 4 9B 0414 is a 9.4B-parameter open language model from zai-org in the GLM 4 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.

TIPO 500M Ft

KBlueLeaf · 508M · runs from 0.7 GB

TIPO 500M Ft is a 508M-parameter open language model from KBlueLeaf. 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.

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.

Sarvam 105B

sarvamai · 106.0B · runs from 233.3 GB

Sarvam 105B is a 106.0B-parameter open language model from sarvamai. 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 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.