35B-72B Models
60 profiles in this group. Use this hub page to compare practical VRAM floor, expected throughput, and best local-vs-cloud path.
RAM planning is included because Ollama may spill layers to CPU when VRAM is tight, especially with long context.
| Model | Data | VRAM min | VRAM optimal | System RAM | RTX 3090 fit | Best local GPU | Cloud fallback | Detail |
|---|---|---|---|---|---|---|---|---|
| Qwen 72B FP16 | Estimated | 50GB | 62GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| Qwen 72B Q4 | Estimated | 38GB | 48GB | 64GB+ | Cloud / larger GPU | RTX 6000 Ada 48GB | A100 80GB | Open |
| Qwen 72B Q5 | Estimated | 40GB | 50GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| Qwen 72B Q8 | Estimated | 44GB | 54GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| Qwen2 72B FP16 | Estimated | 50GB | 62GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| Qwen2 72B Q4 | Estimated | 38GB | 48GB | 64GB+ | Cloud / larger GPU | RTX 6000 Ada 48GB | A100 80GB | Open |
| Qwen2 72B Q5 | Estimated | 40GB | 50GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| Qwen2 72B Q8 | Estimated | 44GB | 54GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| Qwen2.5 72B FP16 | Estimated | 50GB | 62GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| Qwen2.5 72B Q4 | Estimated | 38GB | 48GB | 64GB+ | Cloud / larger GPU | RTX 6000 Ada 48GB | A100 80GB | Open |
| Qwen2.5 72B Q5 | Estimated | 40GB | 50GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| Qwen2.5 72B Q8 | Estimated | 44GB | 54GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| Qwen2.5 VL 72B FP16 | Estimated | 50GB | 62GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| Qwen2.5 VL 72B Q4 | Estimated | 38GB | 48GB | 64GB+ | Cloud / larger GPU | RTX 6000 Ada 48GB | A100 80GB | Open |
| Qwen2.5 VL 72B Q5 | Estimated | 40GB | 50GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| Qwen2.5 VL 72B Q8 | Estimated | 44GB | 54GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| CodeLlama 70B FP16 | Estimated | 50GB | 62GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| CodeLlama 70B Q4 | Estimated | 38GB | 48GB | 64GB+ | Cloud / larger GPU | RTX 6000 Ada 48GB | A100 80GB | Open |
| CodeLlama 70B Q5 | Estimated | 40GB | 50GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| CodeLlama 70B Q8 | Estimated | 44GB | 54GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| DeepSeek-R1 70B FP16 | Estimated | 50GB | 62GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| DeepSeek-R1 70B Q4 | Estimated | 38GB | 48GB | 64GB+ | Cloud / larger GPU | RTX 6000 Ada 48GB | A100 80GB | Open |
| DeepSeek-R1 70B Q5 | Estimated | 40GB | 50GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| DeepSeek-R1 70B Q8 | Estimated | 44GB | 54GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| Llama 2 70B FP16 | Estimated | 50GB | 62GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| Llama 2 70B Q4 | Estimated | 38GB | 48GB | 64GB+ | Cloud / larger GPU | RTX 6000 Ada 48GB | A100 80GB | Open |
| Llama 2 70B Q5 | Estimated | 40GB | 50GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| Llama 2 70B Q8 | Estimated | 44GB | 54GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| Llama 3 70B FP16 | Estimated | 50GB | 62GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| Llama 3 70B Q4 | Estimated | 38GB | 48GB | 64GB+ | Cloud / larger GPU | RTX 6000 Ada 48GB | A100 80GB | Open |
| Llama 3 70B Q5 | Estimated | 40GB | 50GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| Llama 3 70B Q8 | Estimated | 44GB | 54GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| Llama 3.1 70B FP16 | Estimated | 50GB | 62GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| Llama 3.1 70B Q4 | Estimated | 38GB | 48GB | 64GB+ | Cloud / larger GPU | RTX 6000 Ada 48GB | A100 80GB | Open |
| Llama 3.1 70B Q5 | Estimated | 40GB | 50GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| Llama 3.1 70B Q8 | Estimated | 44GB | 54GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| Llama 3.3 70B FP16 | Estimated | 50GB | 62GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| Llama 3.3 70B Q4 | Estimated | 40GB | 48GB | 64GB+ | Cloud / larger GPU | RTX 6000 Ada 48GB | A100 80GB | Open |
| Llama 3.3 70B Q5 | Estimated | 48GB | 50GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| Llama 3.3 70B Q8 | Estimated | 44GB | 54GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| DeepSeek-R1 67B FP16 | Estimated | 50GB | 62GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| DeepSeek-R1 67B Q4 | Estimated | 38GB | 48GB | 64GB+ | Cloud / larger GPU | RTX 6000 Ada 48GB | A100 80GB | Open |
| DeepSeek-R1 67B Q5 | Estimated | 40GB | 50GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| DeepSeek-R1 67B Q8 | Estimated | 44GB | 54GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| DeepSeek-V3 67B FP16 | Estimated | 50GB | 62GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| DeepSeek-V3 67B Q4 | Estimated | 38GB | 48GB | 64GB+ | Cloud / larger GPU | RTX 6000 Ada 48GB | A100 80GB | Open |
| DeepSeek-V3 67B Q5 | Estimated | 40GB | 50GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| DeepSeek-V3 67B Q8 | Estimated | 44GB | 54GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| Mixtral 8X7B FP16 | Estimated | 50GB | 62GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| Mixtral 8X7B Q4 | Estimated | 38GB | 48GB | 64GB+ | Cloud / larger GPU | RTX 6000 Ada 48GB | A100 80GB | Open |
| Mixtral 8X7B Q5 | Estimated | 40GB | 50GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| Mixtral 8X7B Q8 | Estimated | 44GB | 54GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| Qwen3.5 35B FP16 | Estimated | 50GB | 62GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| Qwen3.5 35B Q4 | Estimated | 22GB | 24GB | 32GB+ | Comfortable | RTX 3090 24GB | A6000 48GB | Open |
| Qwen3.5 35B Q5 | Estimated | 24GB | 26GB | 64GB+ | Borderline | RTX 6000 Ada 48GB | A100 80GB | Open |
| Qwen3.5 35B Q8 | Estimated | 44GB | 54GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| Qwen3.6 35B FP16 | Estimated | 50GB | 62GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
| Qwen3.6 35B Q4 | Estimated | 22GB | 24GB | 32GB+ | Comfortable | RTX 3090 24GB | A6000 48GB | Open |
| Qwen3.6 35B Q5 | Estimated | 24GB | 26GB | 64GB+ | Borderline | RTX 6000 Ada 48GB | A100 80GB | Open |
| Qwen3.6 35B Q8 | Estimated | 44GB | 54GB | 128GB+ | Cloud / larger GPU | Dual RTX 4090 (model parallel) | A100 80GB | Open |
We may earn a commission if you click links on this page.