Ling-3.0-flash
2recorded runs
43.4best tok/s
1verified
What the Ling-3.0-flash numbers mean
The fastest verified result on our board is 39.3 output tok/s on an Radeon AI Pro R9700 x3 at Q4_0_ROCMFP4_STRIX_LEAN with a 4096-token context. That is about 25.4 ms per generated token — 500 tokens takes roughly 12.7 seconds. Prompt processing on the same record runs at 542.6 tok/s, so a 2,000-token prompt is read in about 3.7 seconds. Across the 2 records we hold for this model the range is 39.3–43.4 tok/s on 2 GPUs, because quantisation, context length and the engine build all move the number.
How much VRAM does Ling-3.0-flash need?
Ling-3.0-flash has 127.0B 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) | 83.0 GB | 141 GB |
| Q8_0 (8-bit) | 156.0 GB | 192 GB |
| FP16 (16-bit) | 292.9 GB | multi-GPU or CPU offload |
Fastest GPUs for this model (best tok/s)
Models with a similar footprint
| Model | Params | Q4_K_M weights |
|---|---|---|
| Qwen 3.8 Flash | 125B | 70.3 GB |
| Qwen 3.8 Flash-Next Base | 125B | 70.3 GB |
| NVIDIA-Nemotron-3.5-Super-VL-120B-A12B | 120B | 67.5 GB |
| Laguna-S-2.1 | 118B | 66.4 GB |
| gpt-oss-120b | 117B | 65.8 GB |
| Llama-4-Scout-17B-16E-Instruct | 109B | 61.3 GB |
| GPU | Model | Quant | Backend | Ctx | tok/s | prompt tok/s | VRAM GB | Source |
|---|---|---|---|---|---|---|---|---|
| Radeon AI Pro R9700 x3 · 32 GB | Ling-3.0-flash | Q4_0_ROCMFP4_STRIX_LEAN | llama.cpp ROCmFPX db6844d + BailingMoe3 port | 4096 | 39.3 ✓ | 542.6 | — | src |
| Multi-GPU x3 · 72 GB | Ling-3.0-flash | AD-IQ4_XXS | llama.cpp b10269-1.5.1 (build 10696, commit cd… | 262144 | 43.4 … | — | 68.4 | src |