All LLM Models
Browse 719 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
Sweep Next Edit v2 7B
sweepai · 7.6B · runs from 3.6 GB
995
32Sweep Next Edit v2 7B is a 7.6B-parameter open language model from sweepai. 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.
Nidum Gemma 2B Uncensored
VibeStudio · 2.5B · runs from 1.4 GB
Nidum Gemma 2B Uncensored is a 2.5B-parameter open language model from VibeStudio in the Gemma 2 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.
VibeThinker 1.5B
WeiboAI · 1.8B · runs from 1.1 GB
VibeThinker 1.5B is a 1.8B-parameter open language model from WeiboAI. 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.
Qwen3 8B Abliterated
huihui-ai · 8.2B · runs from 3.8 GB
Qwen3 8B Abliterated is a 8.2B-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.
Qwen3.6 27B Uncensored HauhauCS Aggressive Safetensor Benchmark
DreamFast · 27.8B · runs from 12.6 GB
Qwen3.6 27B Uncensored HauhauCS Aggressive Safetensor Benchmark is a 27.8B-parameter open language model from DreamFast 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.
Chadrock 35B Ace Saber Rocmfp4 Mtp
jcbtc · 35B · runs from 16.4 GB
Chadrock 35B Ace Saber Rocmfp4 Mtp is a 35B-parameter open language model from jcbtc. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
CyberSecQwen 4B
lablab-ai-amd-developer-hackathon · 4.0B · runs from 2.2 GB
CyberSecQwen 4B is a 4.0B-parameter open language model from lablab-ai-amd-developer-hackathon in the Qwen 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.
Internlm Chat 20B
InternLM · 20B · runs from 11.3 GB
Internlm Chat 20B is a 20B-parameter open language model from InternLM in the InternLM 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.
GPT OSS 20B Heretic
p-e-w · 20.9B · runs from 9.3 GB
GPT OSS 20B Heretic is a 20.9B-parameter open language model from p-e-w in the GPT-OSS 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.
T Pro IT 2.0
t-tech · 32.8B · runs from 14.6 GB
T Pro IT 2.0 is a 32.8B-parameter open language model from t-tech. 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.
Recursive Language Model 198M
Girinath11 · 198M · runs from 0.4 GB
Recursive Language Model 198M is a 198M-parameter open language model from Girinath11. It supports a context window of up to 512 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
ErniePEUnleashed
Kezmark · 3.4B · runs from 1.9 GB
ErniePEUnleashed is a 3.4B-parameter open language model from Kezmark in the ERNIE 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.
Qwen3 4B Heretic
DreamFast · 4.0B · runs from 2.2 GB
Qwen3 4B Heretic is a 4.0B-parameter open language model from DreamFast 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.
Xgen 7B 8k Base
Salesforce · 7B · runs from 3.3 GB
Xgen 7B 8k Base is a 7B-parameter open language model from Salesforce. 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.
GPT S 5M
AxiomicLabs · 5M · runs from 0.3 GB
GPT S 5M is a 5M-parameter open language model from AxiomicLabs. It supports a context window of up to 512 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Falcon H1 7B Base
TII UAE · 7.6B · runs from 3.7 GB
Falcon H1 7B Base is a 7.6B-parameter open language model from TII UAE in the Falcon 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.
XortronCriminalComputingConfig
darkc0de · 23.6B · runs from 10.7 GB
XortronCriminalComputingConfig is a 23.6B-parameter open language model from darkc0de. 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.
OpenReasoning Nemotron 32B
NVIDIA · 32.8B · runs from 14.8 GB
OpenReasoning Nemotron 32B is a 32.8B-parameter open language model from NVIDIA in the Nemotron 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.
Qwen3.6 35B A3b Crown Halo Mtp Dynamic
jcbtc · 35B · runs from 16.4 GB
Qwen3.6 35B A3b Crown Halo Mtp Dynamic is a 35B-parameter open language model from jcbtc in the Qwen 3.6 family. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Moore Lm
ouilyh · 42M · runs from 0.1 GB
Moore Lm is a 42M-parameter open language model from ouilyh. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Stable DiffCoder 8B Instruct
ByteDance-Seed · 8.3B · runs from 17.1 GB
Stable DiffCoder 8B Instruct is a 8.3B-parameter open language model from ByteDance-Seed. 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.
UserLM 8B
Microsoft · 8.0B · runs from 4.0 GB
UserLM 8B is a 8.0B-parameter open language model from Microsoft. 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.
NuExtract
numind · 3.8B · runs from 2.7 GB
NuExtract is a 3.8B-parameter open language model from numind. 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.
LFM2 1.2B Extract
LiquidAI · 1.2B · runs from 0.9 GB
LFM2 1.2B Extract 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.
Text2cypher Gemma 2 9B IT Finetuned 2024v1
neo4j · 9B · runs from 4.2 GB
Text2cypher Gemma 2 9B IT Finetuned 2024v1 is a 9B-parameter open language model from neo4j in the Gemma 2 family. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
SKT ST X 0 3B
sKT-Ai-Labs · 3.4B · runs from 1.8 GB
SKT ST X 0 3B is a 3.4B-parameter open language model from sKT-Ai-Labs. 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.
Harness 1
pat-jj · 20.9B · runs from 9.3 GB
Harness 1 is a 20.9B-parameter open language model from pat-jj. 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
cmpatino · 110M · runs from 0.5 GB
Nanowhale 100M is a 110M-parameter open language model from cmpatino. 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.
Nemotron H 8B Reasoning 128K
NVIDIA · 8.1B · runs from 17.8 GB
Nemotron H 8B Reasoning 128K is a 8.1B-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.
Josiefied Qwen3.5 0.8B Gabliterated V1
Goekdeniz-Guelmez · 853M · runs from 2.1 GB
Josiefied Qwen3.5 0.8B Gabliterated V1 is a 853M-parameter open language model from Goekdeniz-Guelmez 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.