All LLM Models

Browse 739 LLM models with VRAM requirements, quantization options, and hardware compatibility.

Featured only

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.

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.

Qwen Marketing

marketeam · 8.2B · runs from 18.0 GB

Qwen Marketing is a 8.2B-parameter open language model from marketeam in the Qwen family. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.

Qwen3.6 27B PRISM PRO DQ

Ex0bit · 27B · runs from 12.6 GB

Qwen3.6 27B PRISM PRO DQ is a 27B-parameter open language model from Ex0bit in the Qwen 3.6 family. 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.

Meta Llama Guard 2 8B

Meta · 8.0B · runs from 17.7 GB

Meta Llama Guard 2 8B is a 8.0B-parameter open language model from Meta in the Llama family. 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.

Mixtral 34Bx2 MoE 60B

cloudyu · 60.8B · runs from 26.6 GB

Mixtral 34Bx2 MoE 60B is a 60.8B-parameter open language model from cloudyu in the Mixtral family. It supports a context window of up to 200,000 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.

Goedel Prover v2 32B

Goedel-LM · 32.8B · runs from 14.6 GB

Goedel Prover v2 32B is a 32.8B-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.

Huihui Qwen3.6 27B Abliterated

huihui-ai · 27.8B · runs from 12.6 GB

Huihui Qwen3.6 27B Abliterated is a 27.8B-parameter open language model from huihui-ai 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.

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.

EuroLLM 9B Instruct 2512

utter-project · 9.2B · runs from 4.5 GB

EuroLLM 9B Instruct 2512 is a 9.2B-parameter open language model from utter-project. 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.

Quasar 3B A1B Preview

silx-ai · 2.9B · runs from 6.5 GB

Quasar 3B A1B Preview is a 2.9B-parameter open language model from silx-ai. 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.

Llama 3 Korean Bllossom 8B

MLP-KTLim · 8.0B · runs from 4.0 GB

Llama 3 Korean Bllossom 8B is a 8.0B-parameter open language model from MLP-KTLim 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.

Qwen3.6 35B A3B Claude 4.7 Opus Reasoning Distilled

lordx64 · 36.0B · runs from 15.7 GB

Qwen3.6 35B A3B Claude 4.7 Opus Reasoning Distilled is a 36.0B-parameter open language model from lordx64 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.

Salamandra 2B Instruct

BSC-LT · 2.3B · runs from 1.7 GB

Salamandra 2B Instruct is a 2.3B-parameter open language model from BSC-LT. 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.

Carbon 3B

HuggingFaceBio · 3.5B · runs from 1.9 GB

Carbon 3B is a 3.5B-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.