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RTX 3070

NVIDIA GeForce RTX 30 (Ampere)

VRAM
8 GB
Memory bandwidth
448 GB/s
Class
Consumer

Figures assume this GPU plus 32 GB of system RAM (a typical desktop pairing). "What runs on it" is judged at a 8,192-token context. Speeds are estimates, not measurements.

What runs on it

Model Sweet-spot quant Est. speed Community
DeepSeek-R1-Distill-Llama-8B deepseek-ai Q4_K_M Runs fully on GPU @ 8K ctx 45–60 tok/s (estimate) no community data
DeepSeek-R1-Distill-Qwen-1.5B deepseek-ai Q4_K_M Runs fully on GPU @ 8K ctx 199–265 tok/s (estimate) no community data
DeepSeek-R1-Distill-Qwen-7B deepseek-ai Q4_K_M Runs fully on GPU @ 8K ctx 52–70 tok/s (estimate) no community data
Qwen3-8B Qwen Q4_K_M Runs fully on GPU @ 8K ctx 43–57 tok/s (estimate) no community data
gemma-4-12B-it google Q4_K_M Runs fully on GPU @ 8K ctx 38–50 tok/s (estimate) no community data
gemma-4-E2B-it google Q4_K_M Runs fully on GPU @ 8K ctx 87–115 tok/s (estimate) no community data
gemma-4-E4B-it google Q4_K_M Runs fully on GPU @ 8K ctx 54–72 tok/s (estimate) no community data
DeepSeek-R1-Distill-Qwen-14B deepseek-ai Q4_K_M CPU offload @ 8K ctx · ~30 GPU layers 8–11 tok/s (estimate) no community data
DeepSeek-R1-Distill-Qwen-32B deepseek-ai Q4_K_M CPU offload @ 8K ctx · ~14 GPU layers 2–3 tok/s (estimate) no community data
Mistral-Small-3.2-24B-Instruct-2506 mistralai Q4_K_M CPU offload @ 8K ctx · ~0 GPU layers 3–4 tok/s (estimate) no community data
Qwen2.5-7B-Instruct Qwen Q4_K_M CPU offload @ 8K ctx · ~17 GPU layers 8–10 tok/s (estimate) pp: 3,791.5 tok/s measured no community data
Qwen3-30B-A3B-Instruct-2507 Qwen Q4_K_M CPU offload @ 8K ctx · ~15 GPU layers 20–27 tok/s (estimate) no community data
Qwen3-32B Qwen Q4_K_M CPU offload @ 8K ctx · ~15 GPU layers 2–3 tok/s (estimate) no community data
Qwen3-Coder-30B-A3B-Instruct Qwen Q4_K_M CPU offload @ 8K ctx · ~15 GPU layers 20–27 tok/s (estimate) no community data
Qwen3.6-27B Qwen Q4_K_M CPU offload @ 8K ctx · ~18 GPU layers 3–4 tok/s (estimate) no community data
Qwen3.6-35B-A3B Qwen Q4_K_M CPU offload @ 8K ctx · ~10 GPU layers 2–3 tok/s (estimate) no community data
gemma-4-26B-A4B-it google Q4_K_M CPU offload @ 8K ctx · ~8 GPU layers 3–4 tok/s (estimate) no community data
gemma-4-31B-it google Q4_K_M CPU offload @ 8K ctx · ~0 GPU layers 2–3 tok/s (estimate) no community data
gpt-oss-20b openai F16 CPU offload @ 8K ctx · ~11 GPU layers 20–26 tok/s (estimate) no community data

"Est. speed" is a modelled range labelled estimate (D8) for generation (decode) throughput. "Community" shows the median of approved user-submitted reports on this GPU class only where enough exist — never an estimate. "pp" is measured prompt-processing (ingestion) throughput from approved community reports; rows without a measurement show none.

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