AMD · workstation
Radeon Pro W6400
Radeon Pro W6400 has 4 GB of VRAM at 128 GB/s — about 3.72 GiB usable after driver and compositor overhead. 345 of 2118 indexed models fit at 64K context with q8_0 KV.
Spec sheet· bandwidth, theoreticalFrom the file· fit from summed bytesPredicted· speed
Memory
4 GB
GDDR6
Bandwidth
128 GB/s
64-bit bus
Tensor FP16
—
dense
TDP
50 W
$229 MSRP
text 253vision language 31audio tts 17video 2embedding 13audio asr 29
What fits at 64K context
largest quantization that fits, per model · 345 of 2118 indexed
| Model | Best quant | Params | Weights● | KV● | Total in memory◐ | Headroom◐ | tok/s◐ |
|---|---|---|---|---|---|---|---|
| Vikhr-Gemma-2B-instruct | IQ2_S | 2.6B | 0.96 GiB | 1.85 GiB | 3.72 GiB | 0.00 GiB | 28±26.5% |
| Gemmasutra-Mini-2B-v1 | I1-IQ2_S | 2.6B | 0.96 GiB | 1.85 GiB | 3.72 GiB | 0.00 GiB | 28±26.5% |
| Darwin-4B-Chimera | Q2_K_L | 4.0B | 1.73 GiB | 1.08 GiB | 3.72 GiB | 0.00 GiB | 28±26.5% |
| LocateAnything-3B | Q3_K_M | 3.8B | 1.61 GiB | 1.20 GiB | 3.72 GiB | 0.00 GiB | 28±26.5% |
| EXAONE-4.0-1.2B-abliterated | I1-IQ4_NL | 1.5B | 0.84 GiB | 1.99 GiB | 3.71 GiB | 0.01 GiB | 28±26.5% |
| Trinity-Nano-PreviewMoE | Q2_K_L | 6.1B | 2.32 GiB | 0.52 GiB | 3.71 GiB | 0.01 GiB | 55±37% |
| starcoder2-3bKV unresolved | Q4_1 | 3.0B | 1.80 GiB | 1.00 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Qwen2.5-3B | Q3_K_M | 3.1B | 1.61 GiB | 1.20 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| GRM-Kerlin-3b | I1-Q3_K_M | 3.4B | 1.61 GiB | 1.20 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Qwen2.5-Coder-3B-Instruct | Q3_K_M | 3.1B | 1.61 GiB | 1.20 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Qwen2.5-3B-Instruct | Q3_K_M | 3.1B | 1.61 GiB | 1.20 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| granite-4.0-7B-A1B-Creative-v0.1MoE | I1-IQ3_XS | 6.7B | 2.58 GiB | 0.27 GiB | 3.71 GiB | 0.01 GiB | 65±37% |
| Garnet-OCR-3B-0422 | I1-Q3_K_M | 4.1B | 1.61 GiB | 1.20 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| LFM2.5-Queen-Opus-4.7-8B-A1BMoE | I1-IQ2_S | 8.5B | 2.41 GiB | 0.40 GiB | 3.71 GiB | 0.01 GiB | 53±37% |
| LFM2.5-8B-A1B-KO-SFTMoE | I1-IQ2_S | 8.5B | 2.41 GiB | 0.40 GiB | 3.71 GiB | 0.01 GiB | 53±37% |
| LFM2.5-8B-A1B-hereticMoE | I1-IQ2_S | 8.5B | 2.41 GiB | 0.40 GiB | 3.71 GiB | 0.01 GiB | 53±37% |
| LFM2.5-8B-A1B-SOMPOA-heresyMoE | I1-IQ2_S | 8.5B | 2.41 GiB | 0.40 GiB | 3.71 GiB | 0.01 GiB | 53±37% |
| Huihui-LFM2.5-8B-A1B-abliteratedMoE | I1-IQ2_S | 8.5B | 2.41 GiB | 0.40 GiB | 3.71 GiB | 0.01 GiB | 53±37% |
| Supertron2.1-8B-A1BMoE | I1-IQ2_S | 8.5B | 2.41 GiB | 0.40 GiB | 3.71 GiB | 0.01 GiB | 53±37% |
| DeepSeek-OCR-2MoE | Q4_K_M | 3.4B | 1.82 GiB | 1.00 GiB | 3.70 GiB | 0.02 GiB | 36±37% |
| DeepSeek-OCRMoE | Q4_K_M | 3.3B | 1.82 GiB | 1.00 GiB | 3.70 GiB | 0.02 GiB | 36±37% |
| dolphin-2_6-phi-2 | Q8_0 | 2.8B | 2.75 GiB | 0.00 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| Qwen3.5-4B-NSFW-ARA-Heretic-Literotica | I1-Q2_K_S | 4.2B | 1.73 GiB | 1.06 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| Qwen3.5-4B-RpRMax-v1 | I1-Q2_K_S | 4.7B | 1.73 GiB | 1.06 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| Holo-3.1-4B-uncensored-heretic | I1-Q2_K_S | 4.5B | 1.73 GiB | 1.06 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| GRaPE-2-Mini | I1-Q2_K_S | 4.7B | 1.73 GiB | 1.06 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| Qwen3.5-DPO-4B-2 | I1-Q2_K_S | 4.2B | 1.73 GiB | 1.06 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated | I1-Q2_K_S | 4.7B | 1.73 GiB | 1.06 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| Qwopus3.5-4B-v3-heretic | I1-Q2_K_S | 4.5B | 1.73 GiB | 1.06 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| Aureth-4B-Qwen3.5 | I1-Q2_K_S | 4.5B | 1.73 GiB | 1.06 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| Huihui-MiniCPM5-1B-abliterated | F16 | 1.1B | 2.02 GiB | 0.80 GiB | 3.70 GiB | 0.02 GiB | 28±26.5% |
| MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking | F16 | 1.1B | 2.02 GiB | 0.80 GiB | 3.70 GiB | 0.02 GiB | 28±26.5% |
| MiniCPM5-1B-Uncensored | F16 | 1.1B | 2.02 GiB | 0.80 GiB | 3.70 GiB | 0.02 GiB | 28±26.5% |
| MiniCPM5-1B-Claude-Opus-Fable5-Thinking-abliterated | F16 | 1.1B | 2.02 GiB | 0.80 GiB | 3.70 GiB | 0.02 GiB | 28±26.5% |
| MiniCPM5-1B-Claude-Opus-Fable5-Thinking | F16 | 1.1B | 2.02 GiB | 0.80 GiB | 3.70 GiB | 0.02 GiB | 28±26.5% |
| MiniCPM5-1B-Agentic-Tooluse-Merged-FP16 | F16 | 1.1B | 2.02 GiB | 0.80 GiB | 3.70 GiB | 0.02 GiB | 28±26.5% |
| MiniCPM5-1B | F16 | 1.1B | 2.02 GiB | 0.80 GiB | 3.70 GiB | 0.02 GiB | 28±26.5% |
| Dolphin3.0-Qwen2.5-3b | Q3_K_L | 3.1B | 1.59 GiB | 1.20 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| Qwen2.5-Coder-3B-Instruct-abliterated | I1-Q3_K_L | 3.1B | 1.59 GiB | 1.20 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| GRM-Kerlin-3b-Abliterated | I1-Q3_K_L | 3.1B | 1.59 GiB | 1.20 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| Mythos-nano | I1-Q3_K_L | 3.1B | 1.59 GiB | 1.20 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| MATE-3B | I1-Q3_K_L | 3.1B | 1.59 GiB | 1.20 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| Mythos-nano-OBLITERATED | I1-Q3_K_L | 3.1B | 1.59 GiB | 1.20 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| Qwen2.5-3B-Instruct-Uncensored | I1-Q3_K_L | 3.1B | 1.59 GiB | 1.20 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| Qwen2.5-Coder-3B | Q3_K_L | 3.1B | 1.59 GiB | 1.20 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| raspberry-3B | Q3_K_L | 3.1B | 1.59 GiB | 1.20 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| VibeThinker-3B-OBLITERATED | I1-Q3_K_L | 3.1B | 1.59 GiB | 1.20 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| VibeThinker-3B | Q3_K_L | 3.1B | 1.59 GiB | 1.20 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| Fourier-Qwen2.5-VL-3B-0.67 | I1-Q3_K_L | 3.8B | 1.59 GiB | 1.20 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| Qwen2.5-VL-3B-Instruct | Q3_K_L | 3.8B | 1.59 GiB | 1.20 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| Nanonets-OCR-s | I1-Q3_K_L | 3.8B | 1.59 GiB | 1.20 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| LFM2.5-8B-A1BMoE | UD-IQ1_M | 8.5B | 2.40 GiB | 0.40 GiB | 3.69 GiB | 0.03 GiB | 53±37% |
| gemma-2-2b-it | IQ2_XS | 2.6B | 0.93 GiB | 1.85 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| GLM-OCR | I1-Q6_K | 1.3B | 0.68 GiB | 2.13 GiB | 3.69 GiB | 0.03 GiB | 28±26.5% |
| Gemma-3-4b-it-Uncensored-DBL-X | I1-IQ3_XS | 4.7B | 1.88 GiB | 0.90 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| Holo-3.1-4B | I1-IQ2_XS | 5.2B | 1.71 GiB | 1.06 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| AfriqueQwen3.5-4B | I1-IQ2_XS | 5.2B | 1.71 GiB | 1.06 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| TimeOmni-1-4B | I1-IQ2_XS | 5.2B | 1.71 GiB | 1.06 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| Qwen3.5-2B-heretic | Q8_0 | 2.2B | 2.39 GiB | 0.40 GiB | 3.68 GiB | 0.04 GiB | 29±26.5% |
| Qwen2.5-3B-Instruct-abliterated | I1-IQ1_S | 3.1B | 1.57 GiB | 1.20 GiB | 3.68 GiB | 0.04 GiB | 29±26.5% |
Speed is modeled, not measured: decode is memory-bandwidth bound, so tokens per second is bytes read per token against achievable bandwidth. Mixture-of-experts models carry a wider band because only the routed experts are read each step, and few have been measured publicly.
Questions people ask
- What AI models can a Radeon Pro W6400 run?
- 345 of 2118 indexed open-weight models fit a Radeon Pro W6400 at 65,536 context with q8_0 KV cache, the largest being Vikhr-Gemma-2B-instruct at IQ2_S. That covers text, vision-language, image, video and speech models.
- How much usable memory does a Radeon Pro W6400 actually have?
- Its nameplate is 4 GB, but about 3.72 GiB is available to a model once driver and compositor overhead is accounted for.
- Is a Radeon Pro W6400 fast for local AI?
- Its memory bandwidth is 128 GB/s, and that figure — not teraflops — is what governs token generation speed. Capacity decides what you can run; bandwidth decides how fast it runs.