All LLM Models
Browse 1475 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
Xing4.0 29B A4B
XingChen-AGI · 31.2B · runs from 14.7 GB
39.0K
1.6KXing4.0 29B A4B is a 31.2B-parameter open language model from XingChen-AGI. 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.
Kimi K2.6 Eagle3 Mla
lightseekorg · 3.0B · runs from 1.6 GB
Kimi K2.6 Eagle3 Mla is a 3.0B-parameter open language model from lightseekorg in the Kimi K2 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.
Qwen3Guard Gen 8B
Alibaba · 8.2B · runs from 4.1 GB
Qwen3Guard Gen 8B is a 8.2B-parameter open language model from Alibaba in the Qwen 3 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.
Ling Mini 2.0
Inclusion AI · 16.3B · runs from 7.3 GB
Ling Mini 2.0 is a 16.3B-parameter open language model from Inclusion 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.
Olmo 3 7B Instruct SFT
Allen AI · 7.3B · runs from 4.5 GB
Olmo 3 7B Instruct SFT is a 7.3B-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.
Tofu Ft Phi 1.5
locuslab · 1.4B · runs from 1.3 GB
Tofu Ft Phi 1.5 is a 1.4B-parameter open language model from locuslab in the Phi 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.
Internlm2 5 7B Chat
InternLM · 7B · runs from 3.5 GB
Internlm2 5 7B Chat is a 7B-parameter open language model from InternLM in the InternLM 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.
Ko PlatYi 6B
kyujinpy · 6B · runs from 3.0 GB
Ko PlatYi 6B is a 6B-parameter open language model from kyujinpy. 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.
Granite 3.2 8B Instruct
IBM · 8.2B · runs from 4.1 GB
Granite 3.2 8B Instruct is a 8.2B-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.
Fanar 1 9B Instruct
QCRI · 8.8B · runs from 4.7 GB
Fanar 1 9B Instruct is a 8.8B-parameter open language model from QCRI. 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.
OLMo 2 1124 7B Instruct
Allen AI · 7.3B · runs from 4.5 GB
OLMo 2 1124 7B Instruct is a 7.3B-parameter open language model from Allen AI in the OLMo 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.
Antares 1B
fdtn-ai · 1.8B · runs from 4.0 GB
Antares 1B is a 1.8B-parameter open language model from fdtn-ai. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Qwen3.5 4B Super Coder
jica98 · 4B · runs from 2.2 GB
Qwen3.5 4B Super Coder is a 4B-parameter open language model from jica98 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.
BioMistral 7B
BioMistral · 7B · runs from 3.5 GB
BioMistral 7B is a 7B-parameter open language model from BioMistral in the Mistral 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.
Lynx Instruct 30B
bineric · 30.5B · runs from 13.4 GB
Lynx Instruct 30B is a 30.5B-parameter open language model from bineric. 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.
Llama 3.1 70B
Meta · 70.6B · runs from 33.0 GB
Meta Llama 3.1 70B is a 70.6-billion parameter base (pretrained) model from the Llama 3.1 family. It supports a 128K token context window and was trained on a massive multilingual corpus. As a base model, it is designed for fine-tuning and research rather than direct conversational use. The model serves as the foundation for the Llama 3.1 70B Instruct variant and numerous community fine-tunes. It delivers strong performance across language understanding and generation benchmarks. Released under the Llama 3.1 Community License.
Llama3.1 Typhoon2 8B Instruct
typhoon-ai · 8.0B · runs from 4.0 GB
Llama3.1 Typhoon2 8B Instruct is a 8.0B-parameter open language model from typhoon-ai 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.
Ruadapt Qwen2.5 7B Ext U48 Instruct
RefalMachine · 7.6B · runs from 3.6 GB
Ruadapt Qwen2.5 7B Ext U48 Instruct is a 7.6B-parameter open language model from RefalMachine 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.
Qwen3.8 Distill 35B A3B Coder Abliterated
Lord-H4D3ZS · 35B · runs from 70.4 GB
Qwen3.8 Distill 35B A3B Coder Abliterated is a 35B-parameter open language model from Lord-H4D3ZS in the Qwen 3.8 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.
Qwen1.5 MoE A2.7B Chat
Alibaba · 14.3B · runs from 6.8 GB
Qwen1.5 MoE A2.7B Chat is a 14.3B-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.
EXAONE 3.5 32B Instruct
LGAI-EXAONE · 32.0B · runs from 15.0 GB
EXAONE 3.5 32B Instruct is a 32.0B-parameter open language model from LGAI-EXAONE in the EXAONE 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.
Deepseek Moe 16B Base
DeepSeek · 16.4B · runs from 7.7 GB
Deepseek 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.
Olmo 3 1125 32B
Allen AI · 32.2B · runs from 65.3 GB
Olmo 3 1125 32B is a 32.2B-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.
Gemma 4 E4B IT OBLITERATED
OBLITERATUS · 8.0B · runs from 3.9 GB
Gemma 4 E4B IT OBLITERATED is a 8.0B-parameter open language model from OBLITERATUS in the Gemma 4 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.
TIPO 500M
KBlueLeaf · 508M · runs from 0.7 GB
TIPO 500M is a 508M-parameter open language model from KBlueLeaf. 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.
LongCat Flash Chat
Meituan · 561.9B · runs from 1236.1 GB
LongCat Flash Chat is a 561.9B-parameter open language model from Meituan in the LongCat 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.
Mythos Nano
squ11z1 · 3.1B · runs from 1.7 GB
Mythos Nano is a 3.1B-parameter open language model from squ11z1. 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 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.
OneReason 0.8B Pretrain Competition
OpenOneRec · 801M · runs from 0.8 GB
OneReason 0.8B Pretrain Competition is a 801M-parameter open language model from OpenOneRec. 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.
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.