AMD · unified x86
AMD Ryzen AI Max+ 395 (Radeon 8060S)
AMD Ryzen AI Max+ 395 (Radeon 8060S) has 64 GB of VRAM at 256 GB/s — about 44.64 GiB usable after driver and compositor overhead. 2039 of 2118 indexed models fit at 32K 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 1750image 2vision language 185audio tts 21video 16embedding 26audio asr 39
What fits at 32K context
largest quantization that fits, per model · 2039 of 2118 indexed
| Model | Best quant | Params | Weights● | KV● | Total in memory◐ | Headroom◐ | tok/s◐ |
|---|---|---|---|---|---|---|---|
| Mixtral-8x22B-v0.1MoE | IQ2_M | 141B | 43.50 GiB | 3.72 GiB | 47.98 GiB | 0.02 GiB | 5±37% |
| HarmonicHarlequin_v5-20B | I1-IQ3_XS | 33.3B | 12.68 GiB | 34.53 GiB | 47.95 GiB | 0.05 GiB | 3±25% |
| c4ai-command-r-plus-08-2024 | IQ3_S | 104B | 42.80 GiB | 4.25 GiB | 47.93 GiB | 0.07 GiB | 3±25% |
| Assistant_Pepe_70B | Q4_1 | 70.6B | 41.76 GiB | 5.31 GiB | 47.90 GiB | 0.10 GiB | 3±25% |
| Qwen3-Coder-NextMoE | Q4_K_L | 79.7B | 45.60 GiB | 1.59 GiB | 47.88 GiB | 0.12 GiB | 15±37% |
| Qwen3-Next-80B-A3B-ThinkingMoE | Q4_K_L | 81.3B | 45.60 GiB | 1.59 GiB | 47.88 GiB | 0.12 GiB | 15±37% |
| Qwen3-Next-80B-A3B-InstructMoE | Q4_K_L | 81.3B | 45.60 GiB | 1.59 GiB | 47.88 GiB | 0.12 GiB | 15±37% |
| Mistral-MOE-4X7B-Dark-MultiVerse-Uncensored-Enhanced32-24BMoE | F16 | 24.2B | 44.99 GiB | 2.13 GiB | 47.85 GiB | 0.15 GiB | 2±37% |
| Qwen3.5-122B-A10B-hereticMoE | I1-IQ3_XS | 123B | 46.72 GiB | 0.40 GiB | 47.85 GiB | 0.15 GiB | 17±37% |
| CalmeRys-78B-Orpo-v0.1 | I1-Q4_0 | 78.0B | 41.30 GiB | 5.71 GiB | 47.84 GiB | 0.16 GiB | 3±25% |
| step-3.5-flash | IQ1_M | 199B | 40.17 GiB | 6.92 GiB | 47.82 GiB | 0.18 GiB | 3±25% |
| HunyuanImage-2.1 | Q5_0 | 17.5B | 47.04 GiB | 0.00 GiB | 47.79 GiB | 0.21 GiB | 3±25% |
| Mistral-Medium-3.5-128B | UD-IQ2_M | 128B | 41.08 GiB | 5.84 GiB | 47.78 GiB | 0.22 GiB | 3±25% |
| GLM-4.5VMoE | I1-IQ3_XXS | 108B | 43.99 GiB | 3.05 GiB | 47.77 GiB | 0.23 GiB | 10±37% |
| Qwen3.5-88BMoE | I1-Q4_K_S | 87.7B | 46.63 GiB | 0.40 GiB | 47.75 GiB | 0.25 GiB | 15±37% |
| Huihui-Qwen3-Coder-Next-abliteratedMoE | Q4_1 | 79.7B | 46.65 GiB | 0.40 GiB | 47.73 GiB | 0.27 GiB | 19±37% |
| Step-3.7-Flash | IQ1_S | 201B | 40.03 GiB | 6.92 GiB | 47.68 GiB | 0.32 GiB | 3±25% |
| Ornith-1.0-35B-AEON-Ultimate-Uncensored-BF16MoE | Q5_K_M | 35.1B | 46.64 GiB | 0.33 GiB | 47.67 GiB | 0.33 GiB | 17±37% |
| Laguna-S-2.1MoE | IQ3_XXS | 118B | 46.07 GiB | 0.87 GiB | 47.67 GiB | 0.33 GiB | 15±37% |
| Apertus-70B-Instruct-2509 | Q4_K_L | 70.6B | 41.46 GiB | 5.31 GiB | 47.65 GiB | 0.35 GiB | 3±25% |
| Mistral-Small-4-119B-2603MoE | IQ3_XXS | 119B | 46.44 GiB | 0.37 GiB | 47.55 GiB | 0.45 GiB | 17±37% |
| GLM-4.5-Air-REAP-82B-A12BMoE | IQ4_XS | 81.9B | 43.76 GiB | 3.05 GiB | 47.54 GiB | 0.46 GiB | 9±37% |
| WizardLM-Uncensored-SuperCOT-StoryTelling-30b | Q5_0 | 32.5B | 20.86 GiB | 25.90 GiB | 47.53 GiB | 0.47 GiB | 3±25% |
| Wizard-Vicuna-30B-Uncensored | I1-Q5_K_S | 32.5B | 20.86 GiB | 25.90 GiB | 47.53 GiB | 0.47 GiB | 3±25% |
| archangel_sft-kto_llama30b | I1-Q5_K_S | 32.5B | 20.86 GiB | 25.90 GiB | 47.53 GiB | 0.47 GiB | 3±25% |
| Llama-4-Scout-17B-16E-Instruct-abliterated-v2MoEKV unresolved | I1-IQ3_S | 109B | 43.56 GiB | 3.19 GiB | 47.48 GiB | 0.52 GiB | 10±37% |
| Meta-Llama-3-70B-Instruct | Q4_1 | 70.6B | 41.28 GiB | 5.31 GiB | 47.42 GiB | 0.58 GiB | 3±25% |
| Maenad-70B | I1-Q4_1 | 70.6B | 41.27 GiB | 5.31 GiB | 47.41 GiB | 0.59 GiB | 3±25% |
| DeepSeek-R1-Distill-Llama-70B-Uncensored-v2-Unbiased-Reasoner | I1-Q4_1 | 70.6B | 41.27 GiB | 5.31 GiB | 47.41 GiB | 0.59 GiB | 3±25% |
| L3.3-Electra-R1-70b | I1-Q4_1 | 70.6B | 41.27 GiB | 5.31 GiB | 47.41 GiB | 0.59 GiB | 3±25% |
| L3.3-70B-Magnum-v4-SE | Q4_1 | 70.6B | 41.27 GiB | 5.31 GiB | 47.41 GiB | 0.59 GiB | 3±25% |
| Latxa-Llama-3.1-70B-Instruct-v2 | I1-Q4_1 | 70.6B | 41.27 GiB | 5.31 GiB | 47.41 GiB | 0.59 GiB | 3±25% |
| Llama-3.3_70_b_uncensored_continued | I1-Q4_1 | 70.6B | 41.27 GiB | 5.31 GiB | 47.41 GiB | 0.59 GiB | 3±25% |
| grok-oss-Revenant-70B | I1-Q4_1 | 70.6B | 41.27 GiB | 5.31 GiB | 47.41 GiB | 0.59 GiB | 3±25% |
| Llama-3.1-Nemotron-70B-Instruct-HF | I1-Q4_1 | 70.6B | 41.27 GiB | 5.31 GiB | 47.41 GiB | 0.59 GiB | 3±25% |
| Hermes-4-70B-heretic | I1-Q4_1 | 70.6B | 41.27 GiB | 5.31 GiB | 47.41 GiB | 0.59 GiB | 3±25% |
| Hermes-4-70B | Q4_1 | 70.6B | 41.27 GiB | 5.31 GiB | 47.41 GiB | 0.59 GiB | 3±25% |
| Llama-3.3-70B-Instruct-abliterated | Q4_1 | 70.6B | 41.27 GiB | 5.31 GiB | 47.41 GiB | 0.59 GiB | 3±25% |
| Llama-3.1-70B | Q4_1 | 70.6B | 41.27 GiB | 5.31 GiB | 47.41 GiB | 0.59 GiB | 3±25% |
| Llama-3.3-70B-Instruct | Q4_1 | 70.6B | 41.27 GiB | 5.31 GiB | 47.41 GiB | 0.59 GiB | 3±25% |
| Anubis-70B-v1.2 | Q4_1 | 70.6B | 41.27 GiB | 5.31 GiB | 47.41 GiB | 0.59 GiB | 3±25% |
| Golem-70B-v1b | I1-Q4_1 | 70.6B | 41.27 GiB | 5.31 GiB | 47.41 GiB | 0.59 GiB | 3±25% |
| DeepSeek-R1-Distill-Llama-70B-abliterated | I1-Q4_1 | 70.6B | 41.27 GiB | 5.31 GiB | 47.41 GiB | 0.59 GiB | 3±25% |
| DeepSeek-R1-Distill-Llama-70B-heretic | I1-Q4_1 | 70.6B | 41.27 GiB | 5.31 GiB | 47.41 GiB | 0.59 GiB | 3±25% |
| DeepSeek-R1-Distill-Llama-70B | Q4_1 | 70.6B | 41.27 GiB | 5.31 GiB | 47.41 GiB | 0.59 GiB | 3±25% |
| Legion-V2.1-LLaMa-70B | I1-Q4_1 | 70.6B | 41.27 GiB | 5.31 GiB | 47.41 GiB | 0.59 GiB | 3±25% |
| SEMIKONG-70B | Q4_1 | 70.6B | 41.27 GiB | 5.31 GiB | 47.41 GiB | 0.59 GiB | 3±25% |
| Devstral-Small-2-24B-Instruct-2512 | BF16 | 24.0B | 43.92 GiB | 2.66 GiB | 47.39 GiB | 0.61 GiB | 3±25% |
| Magistral-Small-2509 | BF16 | 24.0B | 43.92 GiB | 2.66 GiB | 47.39 GiB | 0.61 GiB | 3±25% |
| Magistral-Small-2507 | BF16 | 23.6B | 43.92 GiB | 2.66 GiB | 47.39 GiB | 0.61 GiB | 3±25% |
| Magistry-24B-v1.1 | BF16 | 23.6B | 43.92 GiB | 2.66 GiB | 47.39 GiB | 0.61 GiB | 3±25% |
| Dolphin3.0-R1-Mistral-24B | F16 | 23.6B | 43.92 GiB | 2.66 GiB | 47.39 GiB | 0.61 GiB | 3±25% |
| Cydonia_Vistral | BF16 | 23.6B | 43.92 GiB | 2.66 GiB | 47.39 GiB | 0.61 GiB | 3±25% |
| Mistral-Small-3.2-24B-Instruct-2506 | BF16 | 24.0B | 43.92 GiB | 2.66 GiB | 47.39 GiB | 0.61 GiB | 3±25% |
| Mistral-Small-3.2-24B-Instruct-2506-ultra-uncensored-heretic | BF16 | 24.0B | 43.92 GiB | 2.66 GiB | 47.39 GiB | 0.61 GiB | 3±25% |
| Dans-PersonalityEngine-V1.3.0-24b | BF16 | 23.6B | 43.92 GiB | 2.66 GiB | 47.39 GiB | 0.61 GiB | 3±25% |
| Devstral-Small-2507 | BF16 | 23.6B | 43.92 GiB | 2.66 GiB | 47.39 GiB | 0.61 GiB | 3±25% |
| Devstral-Small-2505 | BF16 | 23.6B | 43.92 GiB | 2.66 GiB | 47.39 GiB | 0.61 GiB | 3±25% |
| MS3.2-PaintedFantasy-v3-24B | BF16 | 23.6B | 43.92 GiB | 2.66 GiB | 47.39 GiB | 0.61 GiB | 3±25% |
| Magidonia-24B-v4.3-heretic-v1.2 | BF16 | 23.6B | 43.92 GiB | 2.66 GiB | 47.39 GiB | 0.61 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+ 395 (Radeon 8060S) run?
- 2039 of 2118 indexed open-weight models fit a AMD Ryzen AI Max+ 395 (Radeon 8060S) at 32,768 context with q8_0 KV cache, the largest being Mixtral-8x22B-v0.1 at IQ2_M. That covers text, vision-language, image, video and speech models.
- How much usable memory does a AMD Ryzen AI Max+ 395 (Radeon 8060S) 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+ 395 (Radeon 8060S) 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.