All LLM Models

Browse 719 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.

MiniCPM 2B Sft BF16

openbmb · 2B · runs from 1.9 GB

MiniCPM 2B Sft BF16 is a 2B-parameter open language model from openbmb in the MiniCPM 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.

Codegemma 2B

Google · 2.5B · runs from 1.2 GB

Codegemma 2B is a 2.5B-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.

Qwen1.5 MoE A2.7B Chat

Alibaba · 2.7B · runs from 1.9 GB

Qwen1.5 MoE A2.7B Chat is a 2.7B-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.

Llm Jp 3.1 13B Instruct4

llm-jp · 13.7B · runs from 7.8 GB

Llm Jp 3.1 13B Instruct4 is a 13.7B-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.

ERNIE 4.5 0.3B PT

Baidu · 361M · runs from 0.5 GB

ERNIE 4.5 0.3B PT is a 361M-parameter open language model from Baidu in the ERNIE 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 Diffusion 3B

NVIDIA · 3.8B · runs from 8.1 GB

Nemotron Labs Diffusion 3B is a 3.8B-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.

C4ai Command R7b 12 2024

Cohere · 8.0B · runs from 17.7 GB

C4ai Command R7b 12 2024 is a 8.0B-parameter open language model from Cohere in the Command R family. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.

Pythia 1B

EleutherAI · 1.1B · runs from 0.5 GB

Pythia 1B is a 1.1B-parameter open language model from EleutherAI. 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 2 13B HF

Meta · 13.0B · runs from 6.1 GB

Llama 2 13B HF is a 13.0B-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.

Granite 4.1 30B

IBM · 28.9B · runs from 13.1 GB

Granite 4.1 30B is a 28.9B-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.

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.

Qwen3.6 27B OBLITERATED

OBLITERATUS · 26.9B · runs from 12.2 GB

Qwen3.6 27B OBLITERATED is a 26.9B-parameter open language model from OBLITERATUS 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.

Olmo Hybrid 7B

Allen AI · 7B · runs from 15.3 GB

Olmo Hybrid 7B is a 7B-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.

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.

Gemma 4 31B IT DFlash

z-lab · 31B · runs from 13.5 GB

Gemma 4 31B IT DFlash is a 31B-parameter open language model from z-lab 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.

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.

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.

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.