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LLM VRAM requirements

Model weights are only part of GPU memory use. Compare weight sizes below, then open a model to account for context, runtime overhead and training memory.

Llama 3.1 405B

202.9GB

4-bit weights · 405.85B parameters

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Qwen3 235B A22B

117.5GB

4-bit weights · 235.09B parameters

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Mixtral 8x22B v0.1

70.3GB

4-bit weights · 140.63B parameters

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Qwen2.5 72B

36.4GB

4-bit weights · 72.71B parameters

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Llama 3.1 70B

35.3GB

4-bit weights · 70.55B parameters

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Llama 3.3 70B

35.3GB

4-bit weights · 70.55B parameters

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DeepSeek R1 Distill Llama 70B

35.3GB

4-bit weights · 70.55B parameters

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Mixtral 8x7B v0.1

23.4GB

4-bit weights · 46.70B parameters

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Qwen2.5 32B

16.4GB

4-bit weights · 32.76B parameters

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Qwen2.5 Coder 32B

16.4GB

4-bit weights · 32.76B parameters

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DeepSeek R1 Distill Qwen 32B

16.4GB

4-bit weights · 32.76B parameters

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Qwen3 32B

16.4GB

4-bit weights · 32.76B parameters

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Qwen3 30B A3B

15.3GB

4-bit weights · 30.53B parameters

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gemma 3 27b

13.7GB

4-bit weights · 27.43B parameters

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gemma 2 27b

13.6GB

4-bit weights · 27.23B parameters

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Mistral Small 24B 2501

11.8GB

4-bit weights · 23.57B parameters

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Qwen2.5 14B

7.4GB

4-bit weights · 14.77B parameters

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Qwen2.5 Coder 14B

7.4GB

4-bit weights · 14.77B parameters

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DeepSeek R1 Distill Qwen 14B

7.4GB

4-bit weights · 14.77B parameters

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Qwen3 14B

7.4GB

4-bit weights · 14.77B parameters

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phi 4

7.3GB

4-bit weights · 14.66B parameters

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Phi 3 medium 4k

7.0GB

4-bit weights · 13.96B parameters

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Mistral Nemo 2407

6.1GB

4-bit weights · 12.25B parameters

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gemma 3 12b

6.1GB

4-bit weights · 12.19B parameters

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gemma 2 9b

4.6GB

4-bit weights · 9.24B parameters

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Qwen3 8B

4.1GB

4-bit weights · 8.19B parameters

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Llama 3.1 8B

4.0GB

4-bit weights · 8.03B parameters

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DeepSeek R1 Distill Llama 8B

4.0GB

4-bit weights · 8.03B parameters

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Qwen2.5 7B

3.8GB

4-bit weights · 7.62B parameters

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Qwen2.5 Coder 7B

3.8GB

4-bit weights · 7.62B parameters

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DeepSeek R1 Distill Qwen 7B

3.8GB

4-bit weights · 7.62B parameters

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Mistral 7B v0.3

3.6GB

4-bit weights · 7.25B parameters

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gemma 3 4b

2.2GB

4-bit weights · 4.30B parameters

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Qwen3 4B

2.0GB

4-bit weights · 4.02B parameters

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Phi 4 mini

1.9GB

4-bit weights · 3.84B parameters

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Phi 3 mini 4k

1.9GB

4-bit weights · 3.82B parameters

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Llama 3.2 3B

1.6GB

4-bit weights · 3.21B parameters

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Qwen2.5 3B

1.5GB

4-bit weights · 3.09B parameters

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Qwen2.5 Coder 3B

1.5GB

4-bit weights · 3.09B parameters

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gemma 2 2b

1.3GB

4-bit weights · 2.61B parameters

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Qwen3 1.7B

1.0GB

4-bit weights · 2.03B parameters

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DeepSeek R1 Distill Qwen 1.5B

0.9GB

4-bit weights · 1.78B parameters

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Qwen2.5 1.5B

0.8GB

4-bit weights · 1.54B parameters

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Qwen2.5 Coder 1.5B

0.8GB

4-bit weights · 1.54B parameters

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Llama 3.2 1B

0.6GB

4-bit weights · 1.24B parameters

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gemma 3 1b

0.5GB

4-bit weights · 1.00B parameters

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Qwen3 0.6B

0.4GB

4-bit weights · 0.75B parameters

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Qwen2.5 0.5B

0.2GB

4-bit weights · 0.49B parameters

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Qwen2.5 Coder 0.5B

0.2GB

4-bit weights · 0.49B parameters

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All model memory estimates

ModelParameters4-bit weights, GBCache estimate
Llama 3.1 405B405.85 billion202.9Not available
Qwen3 235B A22B235.09 billion117.5Config supported
Mixtral 8x22B v0.1140.63 billion70.3Config supported
Qwen2.5 72B72.71 billion36.4Config supported
Llama 3.1 70B70.55 billion35.3Not available
Llama 3.3 70B70.55 billion35.3Not available
DeepSeek R1 Distill Llama 70B70.55 billion35.3Config supported
Mixtral 8x7B v0.146.70 billion23.4Config supported
Qwen2.5 32B32.76 billion16.4Config supported
Qwen2.5 Coder 32B32.76 billion16.4Config supported
DeepSeek R1 Distill Qwen 32B32.76 billion16.4Config supported
Qwen3 32B32.76 billion16.4Config supported
Qwen3 30B A3B30.53 billion15.3Config supported
gemma 3 27b27.43 billion13.7Not available
gemma 2 27b27.23 billion13.6Not available
Mistral Small 24B 250123.57 billion11.8Config supported
Qwen2.5 14B14.77 billion7.4Config supported
Qwen2.5 Coder 14B14.77 billion7.4Config supported
DeepSeek R1 Distill Qwen 14B14.77 billion7.4Config supported
Qwen3 14B14.77 billion7.4Config supported
phi 414.66 billion7.3Config supported
Phi 3 medium 4k13.96 billion7.0Not available
Mistral Nemo 240712.25 billion6.1Config supported
gemma 3 12b12.19 billion6.1Not available
gemma 2 9b9.24 billion4.6Not available
Qwen3 8B8.19 billion4.1Config supported
Llama 3.1 8B8.03 billion4.0Not available
DeepSeek R1 Distill Llama 8B8.03 billion4.0Config supported
Qwen2.5 7B7.62 billion3.8Config supported
Qwen2.5 Coder 7B7.62 billion3.8Config supported
DeepSeek R1 Distill Qwen 7B7.62 billion3.8Config supported
Mistral 7B v0.37.25 billion3.6Config supported
gemma 3 4b4.30 billion2.2Not available
Qwen3 4B4.02 billion2.0Config supported
Phi 4 mini3.84 billion1.9Not available
Phi 3 mini 4k3.82 billion1.9Not available
Llama 3.2 3B3.21 billion1.6Not available
Qwen2.5 3B3.09 billion1.5Config supported
Qwen2.5 Coder 3B3.09 billion1.5Config supported
gemma 2 2b2.61 billion1.3Not available
Qwen3 1.7B2.03 billion1.0Config supported
DeepSeek R1 Distill Qwen 1.5B1.78 billion0.9Config supported
Qwen2.5 1.5B1.54 billion0.8Config supported
Qwen2.5 Coder 1.5B1.54 billion0.8Config supported
Llama 3.2 1B1.24 billion0.6Not available
gemma 3 1b1.00 billion0.5Not available
Qwen3 0.6B0.75 billion0.4Config supported
Qwen2.5 0.5B0.49 billion0.2Config supported
Qwen2.5 Coder 0.5B0.49 billion0.2Config supported

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