All LLM Models

Browse 529 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.

Qwen2.5 Coder 0.5B

Alibaba · 494M · runs from 0.5 GB

Qwen2.5 Coder 0.5B is a 494-million parameter code-specialized model from Alibaba Cloud, the smallest in the Qwen 2.5 Coder series. It is designed for ultra-lightweight deployment where code-aware text generation is needed with minimal hardware resources. The model runs on virtually any GPU and even on CPU-only setups. While limited in capability compared to larger coding models, it is useful for basic code completion, prototyping, and experimentation. It supports a 128K token context window. Released under the Apache 2.0 license.

SOLAR 10.7B Instruct v1.0

Upstage · 10.7B · runs from 5.3 GB

SOLAR 10.7B Instruct 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.

VulnLLM R 7B

Virtue-AI-HUB · 7.6B · runs from 3.6 GB

VulnLLM R 7B is a 7.6B-parameter open language model from Virtue-AI-HUB. 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.

Starcoder

BigCode · 15.8B · runs from 7.4 GB

Starcoder is a 15.8B-parameter open language model from BigCode in the StarCoder family. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.

LFM2.5 1.2B Base

LiquidAI · 1.2B · runs from 0.9 GB

LFM2.5 1.2B Base is a 1.2B-parameter open language model from LiquidAI. 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.

Qwen1.5 1.8B

Alibaba · 1.8B · runs from 1.5 GB

Qwen1.5 1.8B is a 1.8B-parameter open language model from Alibaba in the Qwen 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.

TinyDolphin 2.8 1.1B

QuixiAI · 1.1B · runs from 0.8 GB

TinyDolphin 2.8 1.1B is a 1.1B-parameter open language model from QuixiAI in the Phi 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.

Qwen3.5 9B DFlash

z-lab · 1.0B · runs from 2.4 GB

Qwen3.5 9B DFlash is a 1.0B-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.

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.

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.

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.

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.

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.

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.

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.