AMD · unified x86
AMD Ryzen AI Max 390 (Radeon 8050S)
AMD Ryzen AI Max 390 (Radeon 8050S) has 32 GB of VRAM at 256 GB/s — about 22.32 GiB usable after driver and compositor overhead. 1967 of 2118 indexed models fit at 16K context with q8_0 KV. Note only 24 GB of its 32 GB is allocatable to the GPU.
Spec sheet· bandwidth, theoreticalFrom the file· fit from summed bytesPredicted· speed
Memory
32 GB
LPDDR5X-8000
Bandwidth
256 GB/s
256-bit bus
Tensor FP16
—
dense
TDP
120 W
text 1687vision language 176audio tts 21image 2video 16audio asr 39embedding 26
What fits at 16K context
largest quantization that fits, per model · 1967 of 2118 indexed
| Model | Best quant | Params | Weights● | KV● | Total in memory◐ | Headroom◐ | tok/s◐ |
|---|---|---|---|---|---|---|---|
| NVIDIA-Nemotron-3-Nano-30B-A3B-BF16MoE | Q4_K_M | 31.6B | 22.89 GiB | 0.43 GiB | 24.00 GiB | 0.00 GiB | 27±37% |
| OpenBuddy-R1-0528-Distill-Qwen3-32B-Preview0-QAT | Q5_K_S | 32.8B | 21.08 GiB | 2.13 GiB | 24.00 GiB | 0.00 GiB | 6±25% |
| Qwen3-VL-32B-Instruct-ultra-uncensored-heretic | I1-Q5_K_S | 33.4B | 21.08 GiB | 2.13 GiB | 24.00 GiB | 0.00 GiB | 6±25% |
| Huihui-Qwen3-VL-32B-Instruct-abliterated | I1-Q5_K_S | 33.4B | 21.08 GiB | 2.13 GiB | 24.00 GiB | 0.00 GiB | 6±25% |
| KAT-Dev | Q5_K_S | 32.8B | 21.08 GiB | 2.13 GiB | 24.00 GiB | 0.00 GiB | 6±25% |
| ColorGUI-32B | I1-Q5_K_S | 33.4B | 21.08 GiB | 2.13 GiB | 24.00 GiB | 0.00 GiB | 6±25% |
| Qwen3-VL-32B-Instruct | Q5_K_S | 33.4B | 21.08 GiB | 2.13 GiB | 24.00 GiB | 0.00 GiB | 6±25% |
| Qwen3-VL-32B-Thinking | Q5_K_S | 33.4B | 21.08 GiB | 2.13 GiB | 24.00 GiB | 0.00 GiB | 6±25% |
| Qwen3-32B-Uncensored | I1-Q5_K_S | 32.8B | 21.08 GiB | 2.13 GiB | 24.00 GiB | 0.00 GiB | 6±25% |
| Qwen3-32B | Q5_K_S | 32.8B | 21.08 GiB | 2.13 GiB | 24.00 GiB | 0.00 GiB | 6±25% |
| Qwen3-32B-abliterated | I1-Q5_K_S | 32.8B | 21.08 GiB | 2.13 GiB | 24.00 GiB | 0.00 GiB | 6±25% |
| DeepSWE-Preview | Q5_K_S | 32.8B | 21.08 GiB | 2.13 GiB | 24.00 GiB | 0.00 GiB | 6±25% |
| AReaL-boba-2-32B | I1-Q5_K_S | 32.8B | 21.08 GiB | 2.13 GiB | 24.00 GiB | 0.00 GiB | 6±25% |
| Assistant_Pepe_32B | I1-Q5_K_S | 32.8B | 21.08 GiB | 2.13 GiB | 24.00 GiB | 0.00 GiB | 6±25% |
| Gemma-4-31B-Isometry-RP | I1-Q5_K_M | 32.7B | 21.25 GiB | 1.95 GiB | 23.98 GiB | 0.02 GiB | 6±25% |
| Gemma-4-Dark-Gemistry-31B | I1-Q5_K_M | 32.7B | 21.25 GiB | 1.95 GiB | 23.98 GiB | 0.02 GiB | 6±25% |
| Prosopon-31B | I1-Q5_K_M | 32.7B | 21.25 GiB | 1.95 GiB | 23.98 GiB | 0.02 GiB | 6±25% |
| Gemma-4-Novelist-Eclipse-31B | I1-Q5_K_M | 32.7B | 21.25 GiB | 1.95 GiB | 23.98 GiB | 0.02 GiB | 6±25% |
| Giftige-Blume-31B-v1-StyleSwap | I1-Q5_K_M | 32.7B | 21.25 GiB | 1.95 GiB | 23.98 GiB | 0.02 GiB | 6±25% |
| G4-MeroMero-31B-StyleSwap | I1-Q5_K_M | 32.7B | 21.25 GiB | 1.95 GiB | 23.98 GiB | 0.02 GiB | 6±25% |
| Gemma-4-31B-StyleTune-heretic-ara | I1-Q5_K_M | 32.7B | 21.25 GiB | 1.95 GiB | 23.98 GiB | 0.02 GiB | 6±25% |
| Pantheon-Reasoning-31B-1.1 | I1-Q5_K_M | 32.7B | 21.25 GiB | 1.95 GiB | 23.98 GiB | 0.02 GiB | 6±25% |
| Gemma-4-31B-StyleTune | I1-Q5_K_M | 32.7B | 21.25 GiB | 1.95 GiB | 23.98 GiB | 0.02 GiB | 6±25% |
| Barcenas-StyleTune-31B-Fable | I1-Q5_K_M | 32.1B | 21.25 GiB | 1.95 GiB | 23.98 GiB | 0.02 GiB | 6±25% |
| llm-jp-4-32b-a3b-thinkingMoE | Q5_K_M | 32.1B | 22.73 GiB | 0.53 GiB | 23.97 GiB | 0.03 GiB | 24±37% |
| Skyfall-31B-v4.2 | Q5_K_L | 31.4B | 21.35 GiB | 1.79 GiB | 23.96 GiB | 0.04 GiB | 6±25% |
| Hunyuan-A13B-InstructMoE | IQ2_S | 80.4B | 22.19 GiB | 1.06 GiB | 23.95 GiB | 0.05 GiB | 6±25% |
| Nemotron-Cascade-2-30B-A3B-heretic-ara-uncensoredMoE | I1-Q4_K_M | 31.6B | 22.83 GiB | 0.43 GiB | 23.94 GiB | 0.06 GiB | 27±37% |
| Nemotron-Cascade-2-30B-A3BMoE | I1-Q4_K_M | 31.6B | 22.83 GiB | 0.43 GiB | 23.94 GiB | 0.06 GiB | 27±37% |
| Phi-3.5-MoE-instructMoEKV unresolved | Q4_K_S | 41.9B | 22.18 GiB | 1.06 GiB | 23.94 GiB | 0.06 GiB | 16±37% |
| Huihui-Qwen3.5-35B-A3B-abliteratedMoE | I1-Q5_K_M | 36.0B | 23.06 GiB | 0.17 GiB | 23.93 GiB | 0.07 GiB | 34±37% |
| Qwen3.5-35B-A3B-BaseMoE | I1-Q5_K_M | 36.0B | 23.06 GiB | 0.17 GiB | 23.93 GiB | 0.07 GiB | 34±37% |
| Qwen3.5-35B-A3B-ultra-uncensored-hereticMoE | Q5_K_M | 35.1B | 23.06 GiB | 0.17 GiB | 23.93 GiB | 0.07 GiB | 34±37% |
| Qwen3.5-35B-A3B-Claude-4.6-Opus-Reasoning-DistilledMoE | I1-Q5_K_M | 36.0B | 23.06 GiB | 0.17 GiB | 23.93 GiB | 0.07 GiB | 34±37% |
| Qwen3.6-35B-A3B-uncensored-hereticMoE | Q5_K_M | 35.1B | 23.06 GiB | 0.17 GiB | 23.93 GiB | 0.07 GiB | 34±37% |
| Ornith-1.0-35B-uncensored-hereticMoE | Q5_K_M | 35.1B | 23.06 GiB | 0.17 GiB | 23.93 GiB | 0.07 GiB | 34±37% |
| Nex-N2-mini-ultra-uncensored-hereticMoE | Q5_K_M | 35.1B | 23.06 GiB | 0.17 GiB | 23.93 GiB | 0.07 GiB | 34±37% |
| GLM-4.7-Flash-REAP-23B-A3BMoE | Q8_0 | 23.0B | 22.78 GiB | 0.44 GiB | 23.93 GiB | 0.07 GiB | 22±37% |
| GLM-4.7-Flash-REAP-23B-A3B-absolute-heresyMoE | Q8_0 | 23.0B | 22.78 GiB | 0.44 GiB | 23.93 GiB | 0.07 GiB | 22±37% |
| Pantheon-Reasoning-27B | Q6_K_L | 27.8B | 22.62 GiB | 0.53 GiB | 23.92 GiB | 0.08 GiB | 6±25% |
| Qwen3.5-27B | Q6_K_L | 27.8B | 22.62 GiB | 0.53 GiB | 23.92 GiB | 0.08 GiB | 6±25% |
| Nemotron-Labs-Audex-30B-A3B | Q4_K_M | 32.0B | 23.16 GiB | 0.00 GiB | 23.90 GiB | 0.10 GiB | 6±25% |
| Carnice-Qwen3.6-MoE-35B-A3BMoE | I1-Q5_K_M | 36.0B | 23.03 GiB | 0.17 GiB | 23.90 GiB | 0.10 GiB | 34±37% |
| Qwen35B-Agent-R2-AbliteratedMoE | I1-Q5_K_M | 34.7B | 23.03 GiB | 0.17 GiB | 23.90 GiB | 0.10 GiB | 34±37% |
| Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-DistilledMoE | I1-Q5_K_M | 36.0B | 23.03 GiB | 0.17 GiB | 23.90 GiB | 0.10 GiB | 34±37% |
| Darwin-35B-A3B-OpusMoE | I1-Q5_K_M | 36.0B | 23.03 GiB | 0.17 GiB | 23.90 GiB | 0.10 GiB | 34±37% |
| Qwen35B-Agent-R2MoE | I1-Q5_K_M | 34.7B | 23.03 GiB | 0.17 GiB | 23.90 GiB | 0.10 GiB | 34±37% |
| Carnice-MoE-35B-A3BMoE | I1-Q5_K_M | 36.0B | 23.03 GiB | 0.17 GiB | 23.90 GiB | 0.10 GiB | 34±37% |
| spoomplesmaxx-flash-35B-A3MoE | I1-Q5_K_M | 35.1B | 23.03 GiB | 0.17 GiB | 23.90 GiB | 0.10 GiB | 34±37% |
| Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliteratedMoE | I1-Q5_K_M | 36.0B | 23.03 GiB | 0.17 GiB | 23.90 GiB | 0.10 GiB | 34±37% |
| Qwen3.6-35B-A3B-Uncensored-AggressiveMoE | I1-Q5_K_M | 35.1B | 23.03 GiB | 0.17 GiB | 23.90 GiB | 0.10 GiB | 34±37% |
| Holo-3.1-35B-A3BMoE | Q5_K_M | 35.1B | 23.03 GiB | 0.17 GiB | 23.90 GiB | 0.10 GiB | 34±37% |
| WorldSim-Opus-3.6-35B-A3BMoE | I1-Q5_K_M | 35.1B | 23.03 GiB | 0.17 GiB | 23.90 GiB | 0.10 GiB | 34±37% |
| Qwen3.6-35B-A3B-abliterated-MAXMoE | I1-Q5_K_M | 35.1B | 23.03 GiB | 0.17 GiB | 23.90 GiB | 0.10 GiB | 34±37% |
| Huihui-Qwen3.6-35B-A3B-abliteratedMoE | I1-Q5_K_M | 36.0B | 23.03 GiB | 0.17 GiB | 23.90 GiB | 0.10 GiB | 34±37% |
| Qwopus3.6-35B-A3B-v1MoE | I1-Q5_K_M | 36.0B | 23.03 GiB | 0.17 GiB | 23.90 GiB | 0.10 GiB | 34±37% |
| Qwen3.6-35B-A3B-StyleTuneMoE | I1-Q5_K_M | 35.1B | 23.03 GiB | 0.17 GiB | 23.90 GiB | 0.10 GiB | 34±37% |
| Qwen3.6-35B-A3B-abliteratedMoE | I1-Q5_K_M | 35.1B | 23.03 GiB | 0.17 GiB | 23.90 GiB | 0.10 GiB | 34±37% |
| Qwen3.6-35B-A3B-Kimi-K2.6-Reasoning-DistilledMoE | Q5_K_M | 36.0B | 23.03 GiB | 0.17 GiB | 23.90 GiB | 0.10 GiB | 34±37% |
| Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-DistilledMoE | Q5_K_M | 36.0B | 23.03 GiB | 0.17 GiB | 23.90 GiB | 0.10 GiB | 34±37% |
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 AMD Ryzen AI Max 390 (Radeon 8050S) run?
- 1967 of 2118 indexed open-weight models fit a AMD Ryzen AI Max 390 (Radeon 8050S) at 16,384 context with q8_0 KV cache, the largest being NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 at Q4_K_M. That covers text, vision-language, image, video and speech models.
- How much usable memory does a AMD Ryzen AI Max 390 (Radeon 8050S) actually have?
- Its nameplate is 32 GB, but about 22.32 GiB is available to a model once driver and compositor overhead is accounted for, and only 24 GB of the pool can be allocated to the GPU at all.
- Is a AMD Ryzen AI Max 390 (Radeon 8050S) fast for local AI?
- Its memory bandwidth is 256 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.