Inkling Small: VRAM needs and speed by GPU
At UD-Q4_K_M, Inkling Small needs about 165.5 GB of VRAM. We have 1 measured speed results for it.
Ranked #21 among open-weight models by the Artificial Analysis Intelligence Index, checked 2026-10-22T18:00:53Z. All leading open models.
263.66B parameters (mixture-of-experts, ~11.9B active) · license: apache-2.0 · 1,048,576-token context · GGUF published 2026-07-30T10:20:13.000Z · GGUF files on Hugging Face
Measured speeds
| Chip | Generation tok/s | Prompt tok/s | Quant | Backend | Test | Source |
|---|---|---|---|---|---|---|
| AMD Ryzen AI Max+ 395 (Radeon 8060S) | 21.0 | 122 | UD-IQ2_M | ROCm | tg32 | llama.cpp #25731 details |
Memory needed per quantization
| Quant | File size | Needs (estimate) | Smallest card it fits |
|---|---|---|---|
| UD-IQ1_S | 74.8 GB | 77.8 GB | 96 GB cards |
| UD-IQ1_M | 78.8 GB | 81.8 GB | 96 GB cards |
| UD-IQ2_XXS | 82.3 GB | 85.3 GB | 96 GB cards |
| UD-IQ2_M | 82.4 GB | 85.4 GB | 96 GB cards |
| UD-Q2_K_XL | 87.9 GB | 90.9 GB | 96 GB cards |
| UD-IQ3_XXS | 97.9 GB | 100.9 GB | multi-GPU / large unified memory |
| UD-IQ3_S | 107.5 GB | 110.5 GB | multi-GPU / large unified memory |
| UD-Q3_K_M | 119.4 GB | 122.4 GB | multi-GPU / large unified memory |
| UD-Q3_K_XL | 119.6 GB | 122.6 GB | multi-GPU / large unified memory |
| UD-IQ4_XS | 127.4 GB | 130.4 GB | multi-GPU / large unified memory |
| UD-IQ4_NL | 130.1 GB | 133.1 GB | multi-GPU / large unified memory |
| UD-Q4_K_S | 152.3 GB | 155.3 GB | multi-GPU / large unified memory |
| MXFP4_MOE | 158.0 GB | 161.0 GB | multi-GPU / large unified memory |
| UD-Q4_K_M | 162.5 GB | 165.5 GB | multi-GPU / large unified memory |
| UD-Q4_K_XL | 163.3 GB | 166.3 GB | multi-GPU / large unified memory |
| UD-Q5_K_S | 184.2 GB | 187.2 GB | multi-GPU / large unified memory |
| UD-Q5_K_M | 196.1 GB | 199.1 GB | multi-GPU / large unified memory |
| UD-Q5_K_XL | 196.7 GB | 199.7 GB | multi-GPU / large unified memory |
| UD-Q6_K | 218.9 GB | 221.9 GB | multi-GPU / large unified memory |
| UD-Q6_K_XL | 239.7 GB | 242.7 GB | multi-GPU / large unified memory |
| Q8_0 | 280.3 GB | 283.3 GB | multi-GPU / large unified memory |
| UD-Q8_K_XL | 288.4 GB | 291.4 GB | multi-GPU / large unified memory |
| BF16 | 527.4 GB | 530.4 GB | multi-GPU / large unified memory |
Expected speed on popular hardware
| Hardware | Best quant that fits | Expected tok/s |
|---|---|---|
| NVIDIA RTX 3060 | Does not fit | |
| NVIDIA RTX 4060 Ti | Does not fit | |
| NVIDIA RTX 3090 | Does not fit | |
| NVIDIA RTX 4090 | Does not fit | |
| NVIDIA RTX 5090 | Does not fit | |
| AMD Radeon RX 7900 XTX | Does not fit | |
| Apple M4 Pro (20-core GPU) | Does not fit | |
| Apple M3 Max (40-core GPU) | Does not fit | |
| AMD Ryzen AI Max+ 395 (Radeon 8060S) | UD-IQ2_M | 28.0 estimate |
Too big for your card?
Run Inkling Small on a rented 24-80 GB GPU by the hour.
Rent a bigger GPU on RunPodAffiliate link: if you sign up, RigBench may earn a referral credit. It never affects rankings or numbers.