NVIDIA · Blackwell

What runs on a RTX 5070

12 GB at 672 GB/s. The largest model that fits at Q4_K_M is Mistral NeMo 12B, at roughly 57.3 tokens per second.

Runs comfortably

6.4 GB of 10.5 GB · 61%
010 GB
Weights 4.6 GB
KV cache 1.0 GB
Runtime overhead 0.8 GB

Llama 3.1 8B at Q4_K_M leaves 4.0 GB spare on a RTX 5070. There is room to raise the context length or move up a quantisation level.

Generation85.4tok/s
Prompt processing1621tok/s
Max context40Ktokens
KV per 1K tokens0GB

Every quantisation of Llama 3.1 8B on a RTX 5070

Highlighted row is the highest quality that still fits at 8K context.

QuantisationbpwWeights TotalVerdictMax ctxtok/s
FP16 / BF16 16.00 15.0 GB 16.8 GB Won't fit 5.55
INT8 / W8A8 8.50 7.7 GB 9.5 GB Fits, but tight 16K 53.6
Q8_0 (GGUF) 8.50 7.7 GB 9.5 GB Fits, but tight 16K 53.6
FP8 (E4M3) 8.00 7.5 GB 9.3 GB Runs comfortably 17K 55.1
Q6_K 6.56 6.1 GB 8.0 GB Runs comfortably 28K 66.1
AWQ 4-bit 4.25 5.4 GB 7.2 GB Runs comfortably 34K 74.1
GPTQ 4-bit 4.25 5.4 GB 7.2 GB Runs comfortably 34K 74.1
MXFP4 4.25 5.4 GB 7.2 GB Runs comfortably 34K 74.1
Q5_K_M 5.67 5.3 GB 7.1 GB Runs comfortably 35K 75.5
Q5_K_S 5.52 5.2 GB 7.0 GB Runs comfortably 36K 77.3
Q4_K_M 4.85 4.6 GB 6.4 GB Runs comfortably 40K 85.4
Q4_K_S 4.58 4.4 GB 6.2 GB Runs comfortably 42K 89.2
Q4_0 4.55 4.4 GB 6.2 GB Runs comfortably 42K 89.6
IQ4_XS 4.25 4.1 GB 5.9 GB Runs comfortably 44K 94.3
Q3_K_M 3.91 3.8 GB 5.7 GB Runs comfortably 46K 100
IQ3_M 3.70 3.7 GB 5.5 GB Runs comfortably 48K 104
IQ3_XXS 3.06 3.2 GB 5.0 GB Runs comfortably 52K 119
Q2_K 2.63 2.8 GB 4.6 GB Runs comfortably 55K 131
IQ2_XXS 2.06 2.3 GB 4.2 GB Runs comfortably 59K 152
IQ1_M 1.75 2.1 GB 3.9 GB Runs comfortably 61K 166

Models on a RTX 5070

Q4_K_M at 8K context. Bandwidth sets the speed; capacity sets the ceiling.

ModelParamsWeightsVerdictMax ctxtok/s
DeepSeek-R1 671B-A37B 671B 379.0 GB Won't fit 2.00
Qwen3 235B-A22B 235.1B 132.8 GB Won't fit 3.26
gpt-oss 120B-A5.1B 116.8B 66.0 GB Won't fit 14.5
Llama 4 Scout 109B-A17B 109B 61.7 GB Won't fit 4.57
Qwen2.5 72B 72.7B 41.2 GB Won't fit 1.16
Llama 3.1 70B 70.5B 40.0 GB Won't fit 1.21
Mixtral 8x7B 46.7B 26.4 GB Won't fit 7.46
Command R 35B 35.0B 20.1 GB Won't fit 1.68
Yi-1.5 34B 34.4B 19.5 GB Won't fit 3.16
Qwen3 32B 32.8B 18.6 GB Won't fit 3.40
Qwen2.5-Coder 32B 32.8B 18.6 GB Won't fit 3.40
DeepSeek-R1-Distill-Qwen 32B 32.8B 18.6 GB Won't fit 3.40
Qwen3 30B-A3B 30.5B 17.3 GB Won't fit 29.5
Gemma 3 27B 27.4B 15.6 GB Won't fit 5.12
Mistral Small 24B 23.6B 13.4 GB Won't fit 6.91
gpt-oss 20B-A3.6B 20.9B 11.9 GB Won't fit 53.6
Qwen3 14B 14.8B 8.5 GB Won't fit 8K 39.1
Phi-4 14B 14.7B 8.4 GB Won't fit 6K 32.6
Mistral NeMo 12B 12.3B 7.0 GB Runs comfortably 17K 57.3
Gemma 3 12B 12.2B 7.0 GB Runs comfortably 38K 58.0
GLM-4 9B 9.4B 5.4 GB Runs comfortably 109K 78.4
Qwen3 8B 8.2B 4.7 GB Runs comfortably 35K 82.6
Llama 3.1 8B 8.0B 4.6 GB Runs comfortably 40K 85.4
DeepSeek-R1-Distill-Llama 8B 8.0B 4.6 GB Runs comfortably 40K 85.4
Qwen2.5 7B 7.6B 4.4 GB Runs comfortably 97K 94.9
Mistral 7B v0.3 7.3B 4.1 GB Runs comfortably 32K 94.5
Gemma 3 4B 4.3B 2.5 GB Runs comfortably 128K 160
Qwen3 4B 4.0B 2.3 GB Runs comfortably 53K 150
Llama 3.2 3B 3.2B 1.8 GB Runs comfortably 72K 189
Llama 3.2 1B 1.2B 0.7 GB Runs comfortably 128K 500

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