All LLM Models
Browse 739 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
Aya 23 8B
Cohere · 8.0B · runs from 17.7 GB
18.2K
428Aya 23 8B is a 8.0B-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.
Tiny Aya Global
Cohere · 3.3B · runs from 7.4 GB
Tiny Aya Global 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.
Ouro 2.6B Thinking
ByteDance · 2.6B · runs from 6.3 GB
Ouro 2.6B Thinking is a 2.6B-parameter open language model from ByteDance. 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.
LocoOperator 4B
LocoreMind · 4.0B · runs from 2.2 GB
LocoOperator 4B is a 4.0B-parameter open language model from LocoreMind. 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.
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.
Phi 3 Small 8k Instruct
Microsoft · 7.4B · runs from 15.3 GB
Phi 3 Small 8k Instruct is a 7.4B-parameter open language model from Microsoft in the Phi 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.
Helium 1 2B
kyutai · 2.0B · runs from 1.4 GB
Helium 1 2B is a 2.0B-parameter open language model from kyutai. 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 3 12B IT Heretic
DreamFast · 12.2B · runs from 6.2 GB
Gemma 3 12B IT Heretic is a 12.2B-parameter open language model from DreamFast in the Gemma 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.
Qwen2 57B A14B Instruct
Alibaba · 57.4B · runs from 24.8 GB
Qwen2 57B A14B Instruct is a 57.4B-parameter open language model from Alibaba in the Qwen 2 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.
Mistral Small 24B Instruct 2501 Quantized.w8a8
RedHatAI · 23.6B · runs from 10.7 GB
Mistral Small 24B Instruct 2501 Quantized.w8a8 is a 23.6B-parameter open language model from RedHatAI 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.
Hermes 2 Pro Llama 3 8B
Nous Research · 8.0B · runs from 4.0 GB
Hermes 2 Pro Llama 3 8B is a 8.0B-parameter open language model from Nous Research 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.
Qwen3.5 4B DFlash
z-lab · 537M · runs from 1.4 GB
Qwen3.5 4B DFlash is a 537M-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.
Llama 3.2 Korean Bllossom 3B
Bllossom · 3.2B · runs from 1.9 GB
Llama 3.2 Korean Bllossom 3B is a 3.2B-parameter open language model from Bllossom 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.
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.
GLM 4 9B 0414
zai-org · 9.4B · runs from 4.4 GB
GLM 4 9B 0414 is a 9.4B-parameter open language model from zai-org in the GLM 4 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.
TIPO 500M Ft
KBlueLeaf · 508M · runs from 0.7 GB
TIPO 500M Ft 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.
Yi 1.5 9B
01.AI · 8.8B · runs from 4.3 GB
Yi 1.5 9B is a 8.8B-parameter open language model from 01.AI in the Yi 1.5 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.
L3 8B Stheno V3.2
Sao10K · 8.0B · runs from 4.0 GB
L3 8B Stheno V3.2 is a 8.0B-parameter open language model from Sao10K. 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.
Gemma3 1B IT
litert-community · 1B · runs from 2.2 GB
Gemma3 1B IT is a 1B-parameter open language model from litert-community in the Gemma 3 family. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.
Deepseek Coder 7B Instruct V1.5
DeepSeek · 6.9B · runs from 4.2 GB
Deepseek Coder 7B Instruct V1.5 is a 6.9B-parameter open language model from DeepSeek in the DeepSeek Coder 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.
SOLAR 10.7B v1.0
Upstage · 10.7B · runs from 5.3 GB
SOLAR 10.7B 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.
Phi 3 Medium 4k Instruct
Microsoft · 14.0B · runs from 6.7 GB
Phi 3 Medium 4k Instruct is a 14.0B-parameter open language model from Microsoft in the Phi 3 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.
Phi 1
Microsoft · 1.4B · runs from 0.7 GB
Phi 1 is a 1.4B-parameter open language model from Microsoft 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.
Llama 3 ELYZA JP 8B
elyza · 8.0B · runs from 4.0 GB
Llama 3 ELYZA JP 8B is a 8.0B-parameter open language model from elyza 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.
T5gemma 2B 2B Ul2
Google · 5.6B · runs from 2.6 GB
T5gemma 2B 2B Ul2 is a 5.6B-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.
GritLM 7B
GritLM · 7.2B · runs from 3.6 GB
GritLM 7B is a 7.2B-parameter open language model from GritLM. 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.
Supra 50M Instruct
SupraLabs · 52M · runs from 0.3 GB
Supra 50M Instruct is a 52M-parameter open language model from SupraLabs. 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.
Meta Llama 3 8B Instruct Abliterated v3
failspy · 8.0B · runs from 4.0 GB
Meta Llama 3 8B Instruct Abliterated v3 is a 8.0B-parameter open language model from failspy 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.
Dolphin 2.9.1 Llama 3 70B
dphn · 70.6B · runs from 31.0 GB
Dolphin 2.9.1 Llama 3 70B is a 70.6B-parameter open language model from dphn 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.
Midnight Miqu 70B V1.5
sophosympatheia · 69.0B · runs from 30.3 GB
Midnight Miqu 70B V1.5 is a 69.0B-parameter open language model from sophosympatheia. It supports a context window of up to 32,764 tokens. See its VRAM requirements by quantization and which GPUs and Macs can run it locally below.