Ornith-1.0-35B
2recorded runs
309.7best tok/s
2verified
What the Ornith-1.0-35B numbers mean
The fastest verified result on our board is 309.7 output tok/s on an RTX PRO 6000 Blackwell at Q4_K_M with a 524288-token context. That is about 3.2 ms per generated token — 500 tokens takes roughly 1.6 seconds. Prompt processing on the same record runs at 8996.0 tok/s, so a 2,000-token prompt is read in about 0.2 seconds. Peak VRAM was measured at 72.7 GB. Across the 2 records we hold for this model the range is 196.6–309.7 tok/s on 2 GPUs, because quantisation, context length and the engine build all move the number.
How much VRAM does Ornith-1.0-35B need?
Ornith-1.0-35B has 35.0B parameters. These estimates use the same formula as the VRAM calculator: weights, plus about 15% for a moderate-context KV cache and runtime overhead, plus a small engine floor.
| Quantisation | Estimated VRAM | Smallest card that fits |
|---|---|---|
| Q4_K_M (4-bit) | 23.4 GB | 32 GB |
| Q8_0 (8-bit) | 43.6 GB | 64 GB |
| FP16 (16-bit) | 81.3 GB | 96 GB |
Fastest GPUs for this model (best tok/s)
- RTX PRO 6000 Blackwell309.7
- RTX 5090196.6
Models with a similar footprint
| Model | Params | Q4_K_M weights |
|---|---|---|
| Apodex-1.1-mini | 35B | 19.7 GB |
| badtheorylabs_BTL-4 | 35B | 19.7 GB |
| BTL-4-Compact | 35B | 19.7 GB |
| KAT-Coder-V2.5-Dev-AWQ-W4A16-ASYM | 35B | 19.7 GB |
| Kwaipilot_KAT-Coder-V2.5-Dev | 35B | 19.7 GB |
| MiniCPM-V 4.7-35B-A3B | 35B | 19.7 GB |
| GPU | Model | Quant | Backend | Ctx | tok/s | prompt tok/s | VRAM GB | Source |
|---|---|---|---|---|---|---|---|---|
| RTX PRO 6000 Blackwell · 96 GB | Ornith-1.0-35B | Q4_K_M | llama.cpp v1 (6f4f53f) | 524288 | 309.7 ✓ | 8996.0 | 72.7 | src |
| RTX 5090 · 32 GB | Ornith-1.0-35B | AWQ | vllm v0.25.1 | 65536 | 196.6 ✓ | — | — | src |