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.

Finance Llama3 8B

instruction-pretrain · 8.0B · runs from 4.0 GB

Finance Llama3 8B is a 8.0B-parameter open language model from instruction-pretrain 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.

Huihui Qwen3 4B Abliterated v2

huihui-ai · 4.0B · runs from 2.2 GB

Huihui Qwen3 4B Abliterated v2 is a 4.0B-parameter open language model from huihui-ai in the Qwen 3 family. 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.

MediPhi Instruct

Microsoft · 3.8B · runs from 2.7 GB

MediPhi Instruct is a 3.8B-parameter open language model from Microsoft 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.

Carbon 8B

HuggingFaceBio · 8.3B · runs from 4.1 GB

Carbon 8B is a 8.3B-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.

Smol Llama 101M GQA

BEE-spoke-data · 101M · runs from 0.4 GB

Smol Llama 101M GQA is a 101M-parameter open language model from BEE-spoke-data in the Llama family. 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.

Qwen3 42B A3B 2507 Thinking Abliterated Uncensored TOTAL RECALL v2 Medium MASTER CODER

DavidAU · 42.4B · runs from 18.4 GB

Qwen3 42B A3B 2507 Thinking Abliterated Uncensored TOTAL RECALL v2 Medium MASTER CODER is a 42.4B-parameter open language model from DavidAU in the Qwen 3 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.

ChatCodeReasoning

Domyn Small v1.0

domyn · 9.8B · runs from 4.7 GB

Domyn Small v1.0 is a 9.8B-parameter open language model from domyn. 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.

Qwen3.5 9B Uncensored

LEONW24 · 9B · runs from 4.2 GB

Qwen3.5 9B Uncensored is a 9B-parameter open language model from LEONW24 in the Qwen 3.5 family. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.

JoyAI LLM Flash

jdopensource · 49.3B · runs from 21.9 GB

JoyAI LLM Flash is a 49.3B-parameter open language model from jdopensource. 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.

Nanowhale 100M

Hugging Face · 110M · runs from 0.5 GB

Nanowhale 100M is a 110M-parameter open language model from Hugging Face. 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.

Qwen3 1.7B Abliterated

huihui-ai · 1.7B · runs from 0.8 GB

Qwen3 1.7B Abliterated is a 1.7B-parameter open language model from huihui-ai in the Qwen 3 family. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.

Qwen3 0.6B Heretic Abliterated Uncensored

DavidAU · 596M · runs from 0.7 GB

Qwen3 0.6B Heretic Abliterated Uncensored is a 596M-parameter open language model from DavidAU in the Qwen 3 family. 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.

Internlm 7B

InternLM · 7B · runs from 15.4 GB

Internlm 7B is a 7B-parameter open language model from InternLM in the InternLM 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.

Seed OSS 36B Base

ByteDance-Seed · 36.2B · runs from 15.9 GB

Seed OSS 36B Base is a 36.2B-parameter open language model from ByteDance-Seed in the Seed-OSS family. It supports a context window of up to 524,288 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.

Llama 3.1 Nemotron Safety Guard 8B v3

NVIDIA · 8.0B · runs from 4.0 GB

Llama 3.1 Nemotron Safety Guard 8B v3 is a 8.0B-parameter open language model from NVIDIA 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.

Context 1

chromadb · 20.9B · runs from 9.3 GB

Context 1 is a 20.9B-parameter open language model from chromadb. 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.

Arch Router 1.5B

katanemo · 1.5B · runs from 1.0 GB

Arch Router 1.5B is a 1.5B-parameter open language model from katanemo. 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.

FastVLM 7B

Apple · 7.8B · runs from 15.9 GB

FastVLM 7B is a 7.8B-parameter open language model from Apple. 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.

Steerling 8B

guidelabs · 8.4B · runs from 18.5 GB

Steerling 8B is a 8.4B-parameter open language model from guidelabs. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.

GLM 4.7 Flash Heretic

Olafangensan · 29.9B · runs from 13.8 GB

GLM 4.7 Flash Heretic is a 29.9B-parameter open language model from Olafangensan in the GLM 4 family. It supports a context window of up to 202,752 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.

Qwen3 0.6B

litert-community · 0.6B · runs from 0.3 GB

Qwen3 0.6B is a 0.6B-parameter open language model from litert-community in the Qwen 3 family. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.

Vicuna 13B V1.3

LMSYS · 13B · runs from 6.1 GB

Vicuna 13B V1.3 is a 13B-parameter open language model from LMSYS in the Vicuna 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 Poro 2 8B Instruct

LumiOpen · 8.0B · runs from 4.0 GB

Llama Poro 2 8B Instruct is a 8.0B-parameter open language model from LumiOpen in the Llama 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 27B Heretic2 Uncensored Finetune Thinking

DavidAU · 27.4B · runs from 12.4 GB

Qwen3.6 27B Heretic2 Uncensored Finetune Thinking is a 27.4B-parameter open language model from DavidAU 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.

AFM 4.5B

Arcee AI · 4.6B · runs from 2.4 GB

AFM 4.5B is a 4.6B-parameter open language model from Arcee AI. 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.

EuroMoE 2.6B A0.6B 2512

utter-project · 2.6B · runs from 1.5 GB

EuroMoE 2.6B A0.6B 2512 is a 2.6B-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.

MiniCPM MoE 8x2B

openbmb · 8x2B · runs from 7.8 GB

MiniCPM MoE 8x2B is a 8x2B-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.

MedPsy 4B

qvac · 4.4B · runs from 2.4 GB

MedPsy 4B is a 4.4B-parameter open language model from qvac. 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.

Turkish Gemma 9B T1

ytu-ce-cosmos · 9.2B · runs from 4.8 GB

Turkish Gemma 9B T1 is a 9.2B-parameter open language model from ytu-ce-cosmos in the Gemma 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.

Claim Extractor 4B Q 2605

principled-intelligence · 4.7B · runs from 9.8 GB

Claim Extractor 4B Q 2605 is a 4.7B-parameter open language model from principled-intelligence. 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.