All LLM Models
Browse 1214 LLM models with VRAM requirements, quantization options, and hardware compatibility.
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.
Model List
Qwen Marketing
marketeam · 8.2B · runs from 18.0 GB
8.5K
42Qwen 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.
Ternary Bonsai 2 27B MTP
ProCreations · 27B · runs from 12.6 GB
Ternary Bonsai 2 27B MTP is a 27B-parameter open language model from ProCreations. 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.
MiniCPM5 1B Base
OpenBMB · 1.1B · runs from 0.8 GB
MiniCPM5 1B Base 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.
Mamba 2.8B HF
State Spaces · 2.8B · runs from 1.3 GB
Mamba 2.8B HF is a 2.8B-parameter open language model from State Spaces. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
MiniCPM5 2B Base
OpenBMB · 2.5B · runs from 1.5 GB
MiniCPM5 2B Base is a 2.5B-parameter open language model from OpenBMB in the MiniCPM 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.
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.
TIPO V2.1 1B A200M
KBlueLeaf · 991M · runs from 0.7 GB
TIPO V2.1 1B A200M is a 991M-parameter open language model from KBlueLeaf. 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.
Qwen2.5 Coder 3B Claude Opus 4.6 Distilled
ryzdfm · 3.1B · runs from 1.7 GB
Qwen2.5 Coder 3B Claude Opus 4.6 Distilled is a 3.1B-parameter open language model from ryzdfm 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.
Fastino Nemotron 3.5 Lightning Healthcare
fastino · 31.6B · runs from 13.8 GB
Fastino Nemotron 3.5 Lightning Healthcare is a 31.6B-parameter open language model from fastino 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.
ShellWhisperer 1.5B
fableforge-ai · 1.5B · runs from 0.8 GB
ShellWhisperer 1.5B is a 1.5B-parameter open language model from fableforge-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.
DFM Mimir
danish-foundation-models · 1.8B · runs from 1.3 GB
DFM Mimir is a 1.8B-parameter open language model from danish-foundation-models. 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.
Karnak 40B v1.0
Applied-Innovation-Center · 40.7B · runs from 17.7 GB
Karnak 40B v1.0 is a 40.7B-parameter open language model from Applied-Innovation-Center. 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.
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.
Fastino Nemotron 3.5 Lightning Finance
fastino · 31.6B · runs from 13.8 GB
Fastino Nemotron 3.5 Lightning Finance is a 31.6B-parameter open language model from fastino 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.
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.
Tiny Aya Base
Cohere · 3.3B · runs from 7.4 GB
Tiny Aya Base 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.
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.
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.
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.