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. 1996 of 2118 indexed models fit at 4K 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 1714vision language 178audio tts 21image 2video 16audio asr 39embedding 26
What fits at 4K context
largest quantization that fits, per model · 1996 of 2118 indexed
| Model | Best quant | Params | Weights● | KV● | Total in memory◐ | Headroom◐ | tok/s◐ |
|---|---|---|---|---|---|---|---|
| Le-Chaton-Slim-23BMoE | Q8_0 | 23.3B | 23.07 GiB | 0.22 GiB | 24.00 GiB | 0.00 GiB | 13±37% |
| Qwen-AgentWorld-35B-A3BMoE | UD-Q5_K_S | 34.7B | 23.23 GiB | 0.04 GiB | 23.97 GiB | 0.03 GiB | 36±37% |
| Ornith-1.0-35BMoE | UD-Q5_K_S | 34.7B | 23.23 GiB | 0.04 GiB | 23.97 GiB | 0.03 GiB | 36±37% |
| Qwen3.5-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking | I1-Q4_1 | 39.5B | 23.00 GiB | 0.20 GiB | 23.96 GiB | 0.04 GiB | 6±25% |
| Qwen3.5-40B-RoughHouse-Claude-4.6-Opus-Polar-Deckard-Uncensored-Heretic-Thinking | I1-Q4_1 | 39.5B | 23.00 GiB | 0.20 GiB | 23.96 GiB | 0.04 GiB | 6±25% |
| Maenad-70B | I1-IQ2_M | 70.6B | 22.46 GiB | 0.66 GiB | 23.95 GiB | 0.05 GiB | 6±25% |
| DeepSeek-R1-Distill-Llama-70B-Uncensored-v2-Unbiased-Reasoner | I1-IQ2_M | 70.6B | 22.46 GiB | 0.66 GiB | 23.95 GiB | 0.05 GiB | 6±25% |
| Rombos-LLM-70b-Llama-3.3 | I1-IQ2_M | 70.6B | 22.46 GiB | 0.66 GiB | 23.95 GiB | 0.05 GiB | 6±25% |
| L3.3-Electra-R1-70b | I1-IQ2_M | 70.6B | 22.46 GiB | 0.66 GiB | 23.95 GiB | 0.05 GiB | 6±25% |
| L3.3-70B-Magnum-v4-SE | IQ2_M | 70.6B | 22.46 GiB | 0.66 GiB | 23.95 GiB | 0.05 GiB | 6±25% |
| Latxa-Llama-3.1-70B-Instruct-v2 | I1-IQ2_M | 70.6B | 22.46 GiB | 0.66 GiB | 23.95 GiB | 0.05 GiB | 6±25% |
| Llama-3.3_70_b_uncensored_continued | I1-IQ2_M | 70.6B | 22.46 GiB | 0.66 GiB | 23.95 GiB | 0.05 GiB | 6±25% |
| Llama-3.3-70B-Instruct-abliterated | I1-IQ2_M | 70.6B | 22.46 GiB | 0.66 GiB | 23.95 GiB | 0.05 GiB | 6±25% |
| grok-oss-Revenant-70B | I1-IQ2_M | 70.6B | 22.46 GiB | 0.66 GiB | 23.95 GiB | 0.05 GiB | 6±25% |
| Llama-3.1-Nemotron-70B-Instruct-HF | I1-IQ2_M | 70.6B | 22.46 GiB | 0.66 GiB | 23.95 GiB | 0.05 GiB | 6±25% |
| L3.3-70B-Euryale-v2.3 | I1-IQ2_M | 70.6B | 22.46 GiB | 0.66 GiB | 23.95 GiB | 0.05 GiB | 6±25% |
| Hermes-3-Llama-3.1-70B | IQ2_M | 70.6B | 22.46 GiB | 0.66 GiB | 23.95 GiB | 0.05 GiB | 6±25% |
| Hermes-4-70B-heretic | I1-IQ2_M | 70.6B | 22.46 GiB | 0.66 GiB | 23.95 GiB | 0.05 GiB | 6±25% |
| Llama-3.3-70B-Instruct | IQ2_M | 70.6B | 22.46 GiB | 0.66 GiB | 23.95 GiB | 0.05 GiB | 6±25% |
| Llama-3.1-70B | IQ2_M | 70.6B | 22.46 GiB | 0.66 GiB | 23.95 GiB | 0.05 GiB | 6±25% |
| Anubis-70B-v1.2 | IQ2_M | 70.6B | 22.46 GiB | 0.66 GiB | 23.95 GiB | 0.05 GiB | 6±25% |
| Hermes-4-70B | IQ2_M | 70.6B | 22.46 GiB | 0.66 GiB | 23.95 GiB | 0.05 GiB | 6±25% |
| Golem-70B-v1b | I1-IQ2_M | 70.6B | 22.46 GiB | 0.66 GiB | 23.95 GiB | 0.05 GiB | 6±25% |
| DeepSeek-R1-Distill-Llama-70B-abliterated | I1-IQ2_M | 70.6B | 22.46 GiB | 0.66 GiB | 23.95 GiB | 0.05 GiB | 6±25% |
| DeepSeek-R1-Distill-Llama-70B-heretic | I1-IQ2_M | 70.6B | 22.46 GiB | 0.66 GiB | 23.95 GiB | 0.05 GiB | 6±25% |
| DeepSeek-R1-Distill-Llama-70B | IQ2_M | 70.6B | 22.46 GiB | 0.66 GiB | 23.95 GiB | 0.05 GiB | 6±25% |
| Legion-V2.1-LLaMa-70B | I1-IQ2_M | 70.6B | 22.46 GiB | 0.66 GiB | 23.95 GiB | 0.05 GiB | 6±25% |
| Assistant_Pepe_70B | I1-IQ2_M | 70.6B | 22.46 GiB | 0.66 GiB | 23.95 GiB | 0.05 GiB | 6±25% |
| Tess-R1-Limerick-Llama-3.1-70B | IQ2_M | 70.6B | 22.46 GiB | 0.66 GiB | 23.95 GiB | 0.05 GiB | 6±25% |
| SEMIKONG-70B | IQ2_M | 70.6B | 22.46 GiB | 0.66 GiB | 23.95 GiB | 0.05 GiB | 6±25% |
| functionary-medium-v3.2KV unresolved | IQ2_M | 70.6B | 22.46 GiB | 0.66 GiB | 23.95 GiB | 0.05 GiB | 6±25% |
| Llama-3.1-WhiteRabbitNeo-2-70B | IQ2_M | 70.6B | 22.46 GiB | 0.66 GiB | 23.95 GiB | 0.05 GiB | 6±25% |
| Infinity-Instruct-7M-Gen-Llama3_1-70B | I1-IQ2_M | 70.6B | 22.46 GiB | 0.66 GiB | 23.95 GiB | 0.05 GiB | 6±25% |
| New-Dawn-Llama-3-70B-32K-v1.0 | I1-IQ2_M | 70.6B | 22.46 GiB | 0.66 GiB | 23.95 GiB | 0.05 GiB | 6±25% |
| Meta-Llama-3-70B-Instruct-abliterated-v3.5 | I1-IQ2_M | 70.6B | 22.46 GiB | 0.66 GiB | 23.95 GiB | 0.05 GiB | 6±25% |
| Athene-70B | IQ2_M | 70.6B | 22.46 GiB | 0.66 GiB | 23.95 GiB | 0.05 GiB | 6±25% |
| L3.3-70B-Magnum-Diamond | IQ2_M | 70.6B | 22.46 GiB | 0.66 GiB | 23.95 GiB | 0.05 GiB | 6±25% |
| Meta-Llama-3-70B-Instruct | IQ2_M | 70.6B | 22.46 GiB | 0.66 GiB | 23.95 GiB | 0.05 GiB | 6±25% |
| Nemotron-Cascade-2-30B-A3BMoE | Q4_K_L | 31.6B | 23.15 GiB | 0.11 GiB | 23.94 GiB | 0.06 GiB | 30±37% |
| Yi-34B-200K-DARE-megamerge-v8 | I1-Q5_K_M | 34.4B | 22.65 GiB | 0.50 GiB | 23.93 GiB | 0.07 GiB | 6±25% |
| dolphin-2.9.1-yi-1.5-34b-heretic | Q5_K_M | 34.4B | 22.65 GiB | 0.50 GiB | 23.93 GiB | 0.07 GiB | 6±25% |
| dolphin-2.9.1-yi-1.5-34b | I1-Q5_K_M | 34.4B | 22.65 GiB | 0.50 GiB | 23.93 GiB | 0.07 GiB | 6±25% |
| OrionStar-Yi-34B-Chat-Llama | I1-Q5_K_M | 34.4B | 22.65 GiB | 0.50 GiB | 23.93 GiB | 0.07 GiB | 6±25% |
| Yi-34B-200K-Llamafied | I1-Q5_K_M | 34.4B | 22.65 GiB | 0.50 GiB | 23.93 GiB | 0.07 GiB | 6±25% |
| Yi-1.5-34B | Q5_K_M | 34.4B | 22.65 GiB | 0.50 GiB | 23.93 GiB | 0.07 GiB | 6±25% |
| Nous-Hermes-2-Yi-34B | Q5_K_M | 34.4B | 22.65 GiB | 0.50 GiB | 23.93 GiB | 0.07 GiB | 6±25% |
| Merged-RP-Stew-V2-34B | I1-Q5_K_M | 34.4B | 22.65 GiB | 0.50 GiB | 23.93 GiB | 0.07 GiB | 6±25% |
| Capybara-Tess-Yi-34B-200K | Q5_K_M | 34.4B | 22.65 GiB | 0.50 GiB | 23.93 GiB | 0.07 GiB | 6±25% |
| Nous-Capybara-limarpv3-34B | Q5_K_M | 34.4B | 22.65 GiB | 0.50 GiB | 23.93 GiB | 0.07 GiB | 6±25% |
| Qwen3-Coder-Next-REAMMoE | I1-IQ3_XS | 60.3B | 23.19 GiB | 0.05 GiB | 23.93 GiB | 0.07 GiB | 38±37% |
| Qwen3.5-122B-A10B-hereticMoE | I1-IQ1_S | 123B | 23.13 GiB | 0.05 GiB | 23.91 GiB | 0.09 GiB | 36±37% |
| Hy-MT2-30B-A3BMoE | Q6_K | 30.1B | 23.01 GiB | 0.20 GiB | 23.91 GiB | 0.09 GiB | 26±37% |
| Nemotron-Labs-Audex-30B-A3B | Q4_K_M | 32.0B | 23.16 GiB | 0.00 GiB | 23.90 GiB | 0.10 GiB | 6±25% |
| KrakenSakura-Maelstrom-12B-v1 | F16 | 12.2B | 22.82 GiB | 0.33 GiB | 23.90 GiB | 0.10 GiB | 6±25% |
| Mistral-Nemo-Base-2407 | F16 | 12.2B | 22.82 GiB | 0.33 GiB | 23.90 GiB | 0.10 GiB | 6±25% |
| Vikhr-Nemo-12B-Instruct-R-21-09-24 | F16 | 12.2B | 22.82 GiB | 0.33 GiB | 23.90 GiB | 0.10 GiB | 6±25% |
| Wayfarer-2-12B | BF16 | 12.2B | 22.82 GiB | 0.33 GiB | 23.90 GiB | 0.10 GiB | 6±25% |
| Wayfarer-12B | F16 | 12.2B | 22.82 GiB | 0.33 GiB | 23.90 GiB | 0.10 GiB | 6±25% |
| writing-roleplay-20k-context-nemo-12b-v1.0 | F16 | 12.2B | 22.82 GiB | 0.33 GiB | 23.90 GiB | 0.10 GiB | 6±25% |
| Muse-12B | BF16 | 12.2B | 22.82 GiB | 0.33 GiB | 23.90 GiB | 0.10 GiB | 6±25% |
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?
- 1996 of 2118 indexed open-weight models fit a AMD Ryzen AI Max 390 (Radeon 8050S) at 4,096 context with q8_0 KV cache, the largest being Le-Chaton-Slim-23B at Q8_0. 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.