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NVIDIAConsumerRTX 30

RTX 3090 for local AI

RTX 3090 provides 24 GB of VRAM for local AI. In the LocalIA catalog, 201 out of 242 models run comfortably on a single card.

View all compatible models →Rig around the 3090 ↗
VRAM
24GB
Category
Consumer
Series
RTX 30
Vendor
NVIDIA

Models that run comfortably

These models fit in 24 GB with room for context and stable inference.

★Qwen 2.5 32Bqwen20.1 GBcomfortableQ4 · / 24 GB
★Qwen 2.5 Coder 32Bqwen20.1 GBcomfortableQ4 · / 24 GB
★Qwen 3 32Bqwen20.1 GBcomfortableQ4 · / 24 GB
★QwQ 32Bqwq20.1 GBcomfortableQ4 · / 24 GB
★DeepSeek R1 Distill 32Bdeepseek20.1 GBcomfortableQ4 · / 24 GB
Qwen 2.5 VL 32Bqwen20.1 GBcomfortableQ4 · / 24 GB
★Granite 4 H-Small 32B-A9Bgranite20.1 GBcomfortableQ4 · / 24 GB
GLM-4.6glm20.1 GBcomfortableQ4 · / 24 GB
★GLM-4.7glm20.1 GBcomfortableQ4 · / 24 GB
★GLM-5glm20.1 GBcomfortableQ4 · / 24 GB
★GLM-5.1glm20.1 GBcomfortableQ4 · / 24 GB
★Qwen3 32Bqwen20.1 GBcomfortableQ4 · / 24 GB
★Qwen2.5 Coder 32B Instructqwen20.1 GBcomfortableQ4 · / 24 GB
★DeepSeek R1 Distill Qwen 32Bqwen20.1 GBcomfortableQ4 · / 24 GB
★Qwen2.5 32B Instructqwen20.1 GBcomfortableQ4 · / 24 GB
★Gemma 4 31Bgemma19.5 GBcomfortableQ4 · / 24 GB
★Qwen 3 30B A3Bqwen18.9 GBcomfortableQ4 · / 24 GB
MPT 30Bmpt18.9 GBcomfortableQ4 · / 24 GB
★Qwen3 Coder 30B A3B Instructqwen18.9 GBcomfortableQ4 · / 24 GB
★Qwen3 30B A3Bqwen18.9 GBcomfortableQ4 · / 24 GB
★Qwen3 30B A3B Instruct 2507qwen18.9 GBcomfortableQ4 · / 24 GB
★NVIDIA Nemotron 3 Nano 30B A3B BF16nemotron18.9 GBcomfortableQ4 · / 24 GB
★Gemma 2 27Bgemma17.0 GBcomfortableQ4 · / 24 GB
★Gemma 3 27Bgemma17.0 GBcomfortableQ4 · / 24 GB
★Gemma 4 26B A4Bgemma20.0 GBcomfortableQ5 · / 24 GB
★Mistral Small 3 24Bmistral18.4 GBcomfortableQ5 · / 24 GB
★Mistral Small 3.1 24Bmistral18.4 GBcomfortableQ5 · / 24 GB
★Mistral Small 3.2 24Bmistral18.4 GBcomfortableQ5 · / 24 GB
★Devstral Small 2 24Bdevstral18.4 GBcomfortableQ5 · / 24 GB
Mistral Small 22Bmistral16.9 GBcomfortableQ5 · / 24 GB

Tight models

These models barely fit. They can run, but context and speed will be limited.

Command R 35Bcommand22.0 GBtightQ4 · / 24 GB
Aya 23 35Baya22.0 GBtightQ4 · / 24 GB
CodeLlama 34Bcodellama21.4 GBtightQ4 · / 24 GB
Yi 1.5 34Byi21.4 GBtightQ4 · / 24 GB
★dolphin 2.9.1 yi 1.5 34byi21.4 GBtightQ4 · / 24 GB

Unlocked in a 2x rig

With two cards in parallel (48 GB total), larger models become reachable.

★Qwen 2.5 72Bqwen45.3 GBtightQ4 · / 48 GB
Qwen 2.5 VL 72Bqwen45.3 GBtightQ4 · / 48 GB
★Qwen2.5 72B Instructqwen45.3 GBtightQ4 · / 48 GB
Llama 2 70Bllama44.0 GBtightQ4 · / 48 GB
Llama 3 70Bllama44.0 GBtightQ4 · / 48 GB
Llama 3.1 70Bllama44.0 GBtightQ4 · / 48 GB
★Llama 3.3 70Bllama44.0 GBtightQ4 · / 48 GB
CodeLlama 70Bcodellama44.0 GBtightQ4 · / 48 GB
★DeepSeek R1 Distill 70Bdeepseek44.0 GBtightQ4 · / 48 GB
Hermes 3 70Bhermes44.0 GBtightQ4 · / 48 GB
★Llama 3.1 Nemotron 70Bnemotron44.0 GBtightQ4 · / 48 GB
Athene 70Bathene44.0 GBtightQ4 · / 48 GB
★Llama 3.3 70B Instructllama44.0 GBtightQ4 · / 48 GB
★Llama 3.1 70B Instructllama44.0 GBtightQ4 · / 48 GB
★Mixtral 8x7Bmistral36.1 GBcomfortableQ5 · / 48 GB

Unlocked in a 4x rig

Server-style configuration (96 GB total) for the largest open-weight models.

Mixtral 8x22Bmistral88.6 GBtightQ4 · / 96 GB
★Mistral Large 123Bmistral77.3 GBcomfortableQ4 · / 96 GB
★NVIDIA Nemotron 3 Super 120B A12B BF16nemotron75.4 GBcomfortableQ4 · / 96 GB
★Llama 4 Scout 17Bx16llama68.5 GBcomfortableQ4 · / 96 GB
★Command R+ 104Bcommand79.9 GBcomfortableQ5 · / 96 GB
★Qwen3 Next 80B A3B Instructqwen61.5 GBcomfortableQ5 · / 96 GB

Similar GPUs

VRAM estimates updated 2026-05-12.