AMD · unified x86
AMD Ryzen AI Max 385 (Radeon 8050S)
AMD Ryzen AI Max 385 (Radeon 8050S) has 64 GB of VRAM at 256 GB/s — about 44.64 GiB usable after driver and compositor overhead. 2050 of 2118 indexed models fit at 8K context with q8_0 KV. Note only 48 GB of its 64 GB is allocatable to the GPU.
Spec sheet· bandwidth, theoreticalFrom the file· fit from summed bytesPredicted· speed
Memory
64 GB
LPDDR5X-8000
Bandwidth
256 GB/s
256-bit bus
Tensor FP16
—
dense
TDP
120 W
text 1761vision language 185image 2audio asr 39audio tts 21video 16embedding 26
What fits at 8K context
largest quantization that fits, per model · 2050 of 2118 indexed
| Model | Best quant | Params | Weights● | KV● | Total in memory◐ | Headroom◐ | tok/s◐ |
|---|---|---|---|---|---|---|---|
| Devstral-2-123B-Instruct-2512 | UD-IQ3_XXS | 125B | 45.60 GiB | 1.46 GiB | 47.92 GiB | 0.08 GiB | 3±25% |
| Qwen3-Coder-NextMoE | Q4_1 | 79.7B | 46.78 GiB | 0.40 GiB | 47.86 GiB | 0.14 GiB | 19±37% |
| Qwen3-Next-80B-A3B-ThinkingMoE | Q4_1 | 81.3B | 46.78 GiB | 0.40 GiB | 47.86 GiB | 0.14 GiB | 19±37% |
| Qwen3-Next-80B-A3B-InstructMoE | Q4_1 | 81.3B | 46.78 GiB | 0.40 GiB | 47.86 GiB | 0.14 GiB | 19±37% |
| Llama-4-Scout-17B-16E-InstructMoEKV unresolved | Q3_K_S | 109B | 46.34 GiB | 0.80 GiB | 47.86 GiB | 0.14 GiB | 13±37% |
| Huihui-GLM-4.5-Air-abliterated-lossytensorsMoE | I1-IQ3_XS | 110B | 46.34 GiB | 0.76 GiB | 47.83 GiB | 0.17 GiB | 13±37% |
| Assistant_Pepe_70B | Q5_K_S | 70.6B | 45.65 GiB | 1.33 GiB | 47.80 GiB | 0.20 GiB | 3±25% |
| HunyuanImage-2.1 | Q5_0 | 17.5B | 47.04 GiB | 0.00 GiB | 47.79 GiB | 0.21 GiB | 3±25% |
| NVIDIA-Nemotron-3-Super-120B-A12B-BF16MoE | IQ2_XXS | 124B | 46.71 GiB | 0.37 GiB | 47.77 GiB | 0.23 GiB | 16±37% |
| GLM-4.6VMoE | UD-IQ3_XXS | 108B | 46.26 GiB | 0.76 GiB | 47.76 GiB | 0.24 GiB | 13±37% |
| Llama-3.1-70B | Q5_0 | 70.6B | 45.45 GiB | 1.33 GiB | 47.61 GiB | 0.39 GiB | 3±25% |
| step-3.5-flash | IQ2_XXS | 199B | 44.74 GiB | 2.14 GiB | 47.61 GiB | 0.39 GiB | 3±25% |
| Mistral-Medium-3.5-128B | IQ2_M | 128B | 45.27 GiB | 1.46 GiB | 47.59 GiB | 0.41 GiB | 3±25% |
| Apertus-70B-Instruct-2509 | Q5_K_S | 70.6B | 45.35 GiB | 1.33 GiB | 47.56 GiB | 0.44 GiB | 3±25% |
| CodeLlama-70b-Instruct-hf | I1-Q5_K_M | 69.0B | 45.41 GiB | 1.33 GiB | 47.56 GiB | 0.44 GiB | 3±25% |
| CodeLlama-70b-Python-hf | I1-Q5_K_M | 69.0B | 45.41 GiB | 1.33 GiB | 47.56 GiB | 0.44 GiB | 3±25% |
| Nous-Hermes-Llama2-70b | I1-Q5_K_M | 69.0B | 45.41 GiB | 1.33 GiB | 47.56 GiB | 0.44 GiB | 3±25% |
| Midnight-Miqu-70B-v1.5 | I1-Q5_K_M | 69.0B | 45.41 GiB | 1.33 GiB | 47.56 GiB | 0.44 GiB | 3±25% |
| KafkaLM-70B-German-V0.1 | Q5_K_M | 69.0B | 45.41 GiB | 1.33 GiB | 47.56 GiB | 0.44 GiB | 3±25% |
| llama2_70b_chat_uncensored | Q5_K_M | 69.0B | 45.41 GiB | 1.33 GiB | 47.56 GiB | 0.44 GiB | 3±25% |
| Xwin-LM-70b-V0.1 | Q5_K_M | 69.0B | 45.41 GiB | 1.33 GiB | 47.56 GiB | 0.44 GiB | 3±25% |
| Llama-2-70b-chat-hf | Q5_K_M | 69.0B | 45.41 GiB | 1.33 GiB | 47.56 GiB | 0.44 GiB | 3±25% |
| Qwen3.5-122B-A10B-hereticMoE | I1-IQ3_XS | 123B | 46.72 GiB | 0.10 GiB | 47.55 GiB | 0.45 GiB | 18±37% |
| dolphin-2.6-mixtral-8x7bMoE | Q8_0 | 46.7B | 46.22 GiB | 0.53 GiB | 47.49 GiB | 0.51 GiB | 6±37% |
| Nous-Hermes-2-Mixtral-8x7B-DPOMoE | Q8_0 | 46.7B | 46.22 GiB | 0.53 GiB | 47.49 GiB | 0.51 GiB | 6±37% |
| Mixtral-8x7B-Instruct-v0.1MoE | Q8_0 | 46.7B | 46.22 GiB | 0.53 GiB | 47.49 GiB | 0.51 GiB | 6±37% |
| xLAM-8x7b-rMoE | Q8_0 | 46.7B | 46.22 GiB | 0.53 GiB | 47.49 GiB | 0.51 GiB | 6±37% |
| Open_Gpt4_8x7B_v0.1MoE | Q8_0 | 46.7B | 46.22 GiB | 0.53 GiB | 47.49 GiB | 0.51 GiB | 6±37% |
| dolphin-2.5-mixtral-8x7bMoE | Q8_0 | 46.7B | 46.22 GiB | 0.53 GiB | 47.48 GiB | 0.52 GiB | 6±37% |
| dolphin-2.7-mixtral-8x7bMoE | Q8_0 | 46.7B | 46.22 GiB | 0.53 GiB | 47.48 GiB | 0.52 GiB | 6±37% |
| Mixtral-8x7B-v0.1MoE | Q8_0 | 46.7B | 46.22 GiB | 0.53 GiB | 47.48 GiB | 0.52 GiB | 6±37% |
| Mixtral-8x7B-MoE-RP-StoryMoE | Q8_0 | 46.7B | 46.22 GiB | 0.53 GiB | 47.48 GiB | 0.52 GiB | 6±37% |
| Noromaid-v0.4-Mixtral-Instruct-8x7b-ZlossMoE | Q8_0 | 46.7B | 46.22 GiB | 0.53 GiB | 47.48 GiB | 0.52 GiB | 6±37% |
| Open_Gpt4_8x7B_v0.2MoE | Q8_0 | 46.7B | 46.22 GiB | 0.53 GiB | 47.48 GiB | 0.52 GiB | 6±37% |
| Meta-Llama-3-70B-Instruct | Q5_0 | 70.6B | 45.32 GiB | 1.33 GiB | 47.48 GiB | 0.52 GiB | 3±25% |
| Maenad-70B | I1-Q5_K_S | 70.6B | 45.32 GiB | 1.33 GiB | 47.47 GiB | 0.53 GiB | 3±25% |
| DeepSeek-R1-Distill-Llama-70B-Uncensored-v2-Unbiased-Reasoner | I1-Q5_K_S | 70.6B | 45.32 GiB | 1.33 GiB | 47.47 GiB | 0.53 GiB | 3±25% |
| calme-2.4-llama3-70b | Q5_K_S | 70.6B | 45.32 GiB | 1.33 GiB | 47.47 GiB | 0.53 GiB | 3±25% |
| calme-2.2-llama3-70b | Q5_K_S | 70.6B | 45.32 GiB | 1.33 GiB | 47.47 GiB | 0.53 GiB | 3±25% |
| Rombos-LLM-70b-Llama-3.3 | I1-Q5_K_S | 70.6B | 45.32 GiB | 1.33 GiB | 47.47 GiB | 0.53 GiB | 3±25% |
| L3.3-Electra-R1-70b | I1-Q5_K_S | 70.6B | 45.32 GiB | 1.33 GiB | 47.47 GiB | 0.53 GiB | 3±25% |
| L3.3-70B-Magnum-v4-SE | Q5_K_S | 70.6B | 45.32 GiB | 1.33 GiB | 47.47 GiB | 0.53 GiB | 3±25% |
| Latxa-Llama-3.1-70B-Instruct-v2 | I1-Q5_K_S | 70.6B | 45.32 GiB | 1.33 GiB | 47.47 GiB | 0.53 GiB | 3±25% |
| Llama-3.3_70_b_uncensored_continued | I1-Q5_K_S | 70.6B | 45.32 GiB | 1.33 GiB | 47.47 GiB | 0.53 GiB | 3±25% |
| Llama-3.3-70B-Instruct-abliterated | I1-Q5_K_S | 70.6B | 45.32 GiB | 1.33 GiB | 47.47 GiB | 0.53 GiB | 3±25% |
| Strawberrylemonade-L3-70B-v1.2 | Q5_K_S | 70.6B | 45.32 GiB | 1.33 GiB | 47.47 GiB | 0.53 GiB | 3±25% |
| grok-oss-Revenant-70B | I1-Q5_K_S | 70.6B | 45.32 GiB | 1.33 GiB | 47.47 GiB | 0.53 GiB | 3±25% |
| Llama-3.1-Nemotron-70B-Instruct-HF | I1-Q5_K_S | 70.6B | 45.32 GiB | 1.33 GiB | 47.47 GiB | 0.53 GiB | 3±25% |
| L3.3-70B-Euryale-v2.3 | I1-Q5_K_S | 70.6B | 45.32 GiB | 1.33 GiB | 47.47 GiB | 0.53 GiB | 3±25% |
| Hermes-4-70B-heretic | I1-Q5_K_S | 70.6B | 45.32 GiB | 1.33 GiB | 47.47 GiB | 0.53 GiB | 3±25% |
| Hermes-4-70B | Q5_K_S | 70.6B | 45.32 GiB | 1.33 GiB | 47.47 GiB | 0.53 GiB | 3±25% |
| Llama-3.3-70B-Instruct | Q5_K_S | 70.6B | 45.32 GiB | 1.33 GiB | 47.47 GiB | 0.53 GiB | 3±25% |
| Hermes-3-Llama-3.1-70B | Q5_K_S | 70.6B | 45.32 GiB | 1.33 GiB | 47.47 GiB | 0.53 GiB | 3±25% |
| Anubis-70B-v1.2 | Q5_K_S | 70.6B | 45.32 GiB | 1.33 GiB | 47.47 GiB | 0.53 GiB | 3±25% |
| Golem-70B-v1b | I1-Q5_K_S | 70.6B | 45.32 GiB | 1.33 GiB | 47.47 GiB | 0.53 GiB | 3±25% |
| DeepSeek-R1-Distill-Llama-70B-abliterated | I1-Q5_K_S | 70.6B | 45.32 GiB | 1.33 GiB | 47.47 GiB | 0.53 GiB | 3±25% |
| DeepSeek-R1-Distill-Llama-70B-heretic | I1-Q5_K_S | 70.6B | 45.32 GiB | 1.33 GiB | 47.47 GiB | 0.53 GiB | 3±25% |
| DeepSeek-R1-Distill-Llama-70B | Q5_K_S | 70.6B | 45.32 GiB | 1.33 GiB | 47.47 GiB | 0.53 GiB | 3±25% |
| llama-3-firefunction-v2 | Q5_K_S | 70.6B | 45.32 GiB | 1.33 GiB | 47.47 GiB | 0.53 GiB | 3±25% |
| Legion-V2.1-LLaMa-70B | I1-Q5_K_S | 70.6B | 45.32 GiB | 1.33 GiB | 47.47 GiB | 0.53 GiB | 3±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 385 (Radeon 8050S) run?
- 2050 of 2118 indexed open-weight models fit a AMD Ryzen AI Max 385 (Radeon 8050S) at 8,192 context with q8_0 KV cache, the largest being Devstral-2-123B-Instruct-2512 at UD-IQ3_XXS. That covers text, vision-language, image, video and speech models.
- How much usable memory does a AMD Ryzen AI Max 385 (Radeon 8050S) actually have?
- Its nameplate is 64 GB, but about 44.64 GiB is available to a model once driver and compositor overhead is accounted for, and only 48 GB of the pool can be allocated to the GPU at all.
- Is a AMD Ryzen AI Max 385 (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.