All LLM Models
Browse 856 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
Deepseek Moe 16B Base
DeepSeek · 16.4B · runs from 7.7 GB
36.1K
149Deepseek Moe 16B Base is a 16.4B-parameter open language model from DeepSeek in the DeepSeek 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.
Tongyi DeepResearch 30B A3B
Alibaba-NLP · 30.5B · runs from 13.4 GB
Tongyi DeepResearch 30B A3B is a 30.5B-parameter open language model from Alibaba-NLP. 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.
LongCat Flash Chat
meituan-longcat · 561.9B · runs from 1236.1 GB
LongCat Flash Chat is a 561.9B-parameter open language model from meituan-longcat. 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.
DeepSeek R1 Distill Qwen 1.5B
litert-community · 1.5B · runs from 0.7 GB
DeepSeek R1 Distill Qwen 1.5B is a 1.5B-parameter open language model from litert-community in the DeepSeek R1 family. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Qwen3.6 27B MTPLX Optimized Speed
Youssofal · 4.7B · runs from 2.7 GB
Qwen3.6 27B MTPLX Optimized Speed is a 4.7B-parameter open language model from Youssofal 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.
Nemotron Cascade 8B
NVIDIA · 8B · runs from 4 GB
Nemotron Cascade 8B is a 8B-parameter open language model from NVIDIA in the Nemotron 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.
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.
AI21 Jamba Mini 1.5
AI21 Labs · 51.6B · runs from 113.5 GB
AI21 Jamba Mini 1.5 is a 51.6B-parameter open language model from AI21 Labs in the Jamba family. 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.
Jais 13B Chat
inceptionai · 13B · runs from 28.6 GB
Jais 13B Chat is a 13B-parameter open language model from inceptionai. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
NVIDIA Nemotron Nano 12B v2
NVIDIA · 12B · runs from 26.4 GB
NVIDIA Nemotron Nano 12B v2 is a 12B-parameter open language model from NVIDIA in the Nemotron family. 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.