LLM VRAM requirements by model

Pick a model to see how much memory each quant needs and which GPUs it fits. Each card shows the default quant and its estimated total at 8K context. Search by name, or jump to a family.

Popular: Qwen3-8B · Qwen3-VL-8B-Instruct ·Qwen3.8-27B · Qwen3.8-Flash-Next ·Qwen3-8B on an RTX 4070

86 models

Current models

All models by family

Qwen 39

Qwen3-VL-8B-Instruct8.8B · Dense · 2025-10-11GGUF Q4_K_M (Qwen) · 5.9 GiB–6.5 GiBQwen/Qwen3-VL-8B-InstructQwen3-VL-4B-Instruct4.4B · Dense · 2025-10-11GGUF Q4_K_M (Qwen) · 3.6 GiB–4.1 GiBQwen/Qwen3-VL-4B-InstructQwen3-VL-30B-A3B-Instruct31B · 3.0B active · MoE · 2025-09-30GGUF Q4_K_M (Qwen) · 18.2 GiB–18.9 GiBQwen/Qwen3-VL-30B-A3B-InstructQwen3-Next-80B-A3B-Instruct81B · 3.0B active · MoE · 2025-09-09GGUF Q4_K_M (Qwen) · 46.0 GiB–47.3 GiBQwen/Qwen3-Next-80B-A3B-InstructQwen3-4B-Instruct-25074.0B · Dense · 2025-08-05GGUF Q4_K_M (Unsloth) · 3.6 GiB–4.1 GiBQwen/Qwen3-4B-Instruct-2507Qwen3-30B-A3B-Instruct-250731B · 3.3B active · MoE · 2025-07-28GGUF Q4_K_M (Unsloth) · 18.2 GiB–18.9 GiBQwen/Qwen3-30B-A3B-Instruct-2507Qwen3-235B-A22B-Instruct-2507235B · 22B active · MoE · 2025-07-21GGUF Q4_K_M (Unsloth) · 134.0 GiB–137.1 GiBQwen/Qwen3-235B-A22B-Instruct-2507Qwen3-8B-Base8.2B · Dense · 2025-04-28GGUF Q4_K_M (mradermacher) · 5.9 GiB–6.5 GiBQwen/Qwen3-8B-BaseQwen3-1.7B-Base1.7B · Dense · 2025-04-28GGUF Q4_K_M (mradermacher) · 2.0 GiB–2.5 GiBQwen/Qwen3-1.7B-BaseQwen3-235B-A22B235B · 22B active · MoE · 2025-04-27GGUF Q4_K_M (Qwen) · 134.0 GiB–137.1 GiBQwen/Qwen3-235B-A22BQwen3-32B33B · Dense · 2025-04-27GGUF Q4_K_M · 20.5 GiB–21.4 GiBQwen/Qwen3-32BQwen3-30B-A3B31B · 3.3B active · MoE · 2025-04-27GGUF Q4_K_M · 18.2 GiB–18.9 GiBQwen/Qwen3-30B-A3BQwen3-14B15B · Dense · 2025-04-27GGUF Q4_K_M · 9.8 GiB–10.4 GiBQwen/Qwen3-14BQwen3-8B8.2B · Dense · 2025-04-27GGUF Q4_K_M · 5.9 GiB–6.5 GiBQwen/Qwen3-8BQwen3-4B4.0B · Dense · 2025-04-27GGUF Q4_K_M · 3.6 GiB–4.1 GiBQwen/Qwen3-4BQwen3-1.7B2.0B · Dense · 2025-04-27GGUF Q4_K_M (Unsloth) · 2.0 GiB–2.5 GiBQwen/Qwen3-1.7BQwen3-0.6B0.8B · Dense · 2025-04-27GGUF Q4_K_M (Unsloth) · 1.4 GiB–1.8 GiBQwen/Qwen3-0.6BOpenMath-Nemotron-32B33B · Dense · 2025-04-22GGUF Q4_K_M (mradermacher) · 20.6 GiB–21.5 GiBnvidia/OpenMath-Nemotron-32BOpenMath-Nemotron-14B15B · Dense · 2025-04-22GGUF Q4_K_M (mradermacher) · 10.0 GiB–10.6 GiBnvidia/OpenMath-Nemotron-14BOpenMath-Nemotron-7B7.6B · Dense · 2025-04-22GGUF Q4_K_M (mradermacher) · 4.9 GiB–5.4 GiBnvidia/OpenMath-Nemotron-7BQwen2.5-VL-32B-Instruct33B · Dense · 2025-03-21GGUF Q4_K_M (Unsloth) · 20.6 GiB–21.5 GiBQwen/Qwen2.5-VL-32B-InstructQwQ-32B33B · Dense · 2025-03-05GGUF Q4_K_M (Qwen) · 20.6 GiB–21.5 GiBQwen/QwQ-32BQwen2.5-VL-7B-Instruct8.3B · Dense · 2025-01-26GGUF Q4_K_M (Unsloth) · 4.9 GiB–5.4 GiBQwen/Qwen2.5-VL-7B-InstructQwen2.5-VL-3B-Instruct3.8B · Dense · 2025-01-26GGUF Q4_K_M (Unsloth) · 2.2 GiB–2.6 GiBQwen/Qwen2.5-VL-3B-InstructQwen2.5-Coder-32B-Instruct33B · Dense · 2024-11-06GGUF Q4_K_M (Qwen) · 20.6 GiB–21.5 GiBQwen/Qwen2.5-Coder-32B-InstructQwen2.5-Coder-14B-Instruct15B · Dense · 2024-11-06GGUF Q4_K_M (Qwen) · 10.0 GiB–10.6 GiBQwen/Qwen2.5-Coder-14B-InstructQwen2.5-Coder-3B-Instruct3.1B · Dense · 2024-11-06GGUF Q4_K_M (Qwen) · 2.4 GiB–2.8 GiBQwen/Qwen2.5-Coder-3B-InstructQwen2.5-Math-7B-Instruct7.6B · Dense · 2024-09-19GGUF Q4_K_M (bartowski) · 4.9 GiB–6.2 GiBQwen/Qwen2.5-Math-7B-InstructQwen2.5-Coder-1.5B-Instruct1.5B · Dense · 2024-09-18GGUF Q4_K_M (Qwen) · 1.4 GiB–1.8 GiBQwen/Qwen2.5-Coder-1.5B-InstructQwen2.5-32B-Instruct33B · Dense · 2024-09-17GGUF Q4_K_M · 20.6 GiB–21.5 GiBQwen/Qwen2.5-32B-InstructQwen2.5-Coder-7B-Instruct7.6B · Dense · 2024-09-17GGUF Q4_K_M (Qwen) · 4.9 GiB–5.4 GiBQwen/Qwen2.5-Coder-7B-InstructQwen2.5-3B-Instruct3.1B · Dense · 2024-09-17GGUF Q4_K_M · 2.4 GiB–2.8 GiBQwen/Qwen2.5-3B-InstructQwen2.5-1.5B-Instruct1.5B · Dense · 2024-09-17GGUF Q4_K_M (Qwen) · 1.4 GiB–1.8 GiBQwen/Qwen2.5-1.5B-InstructQwen2.5-72B-Instruct73B · Dense · 2024-09-16GGUF Q4_K_M · 43.6 GiB–45.0 GiBQwen/Qwen2.5-72B-InstructQwen2.5-14B-Instruct15B · Dense · 2024-09-16GGUF Q4_K_M · 10.0 GiB–10.6 GiBQwen/Qwen2.5-14B-InstructQwen2.5-7B-Instruct7.6B · Dense · 2024-09-16GGUF Q4_K_M · 4.9 GiB–5.4 GiBQwen/Qwen2.5-7B-InstructQwen2.5-Coder-7B7.6B · Dense · 2024-09-16GGUF Q4_K_M (mradermacher) · 4.9 GiB–5.4 GiBQwen/Qwen2.5-Coder-7BQwen2.5-0.5B-Instruct0.5B · Dense · 2024-09-16GGUF Q4_K_M (Qwen) · 0.7 GiB–1.1 GiBQwen/Qwen2.5-0.5B-InstructQwen2-7B-Instruct7.6B · Dense · 2024-06-04GGUF Q4_K_M (Qwen) · 4.9 GiB–5.4 GiBQwen/Qwen2-7B-Instruct

DeepSeek 10

Llama 6

GLM 5

Google 4

Mistral 4

Phi 4

Kimi 2

MiniMax 2

OpenAI 2

Ant Group / inclusionAI 1

Fish Audio 1

IBM 1

Meta 1

Recent releases that are not in the calculator

We checked these releases on 16 October 2026. Some are closed or API-only, and the open ones use architectures the calculator does not model yet. Each note covers what the publisher has released: weights, file sizes, or only an API price.