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. 1988 of 2118 indexed models fit at 128K 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 1701image 2audio tts 21vision language 183audio asr 39video 16embedding 26
What fits at 128K context
largest quantization that fits, per model · 1988 of 2118 indexed
| Model | Best quant | Params | Weights● | KV● | Total in memory◐ | Headroom◐ | tok/s◐ |
|---|---|---|---|---|---|---|---|
| codegeex4-all-9b | Q3_K_M | 9.4B | 4.72 GiB | 42.50 GiB | 47.96 GiB | 0.04 GiB | 3±25% |
| glm-4-9b-chat-abliterated | Q3_K_M | 9.4B | 4.72 GiB | 42.50 GiB | 47.96 GiB | 0.04 GiB | 3±25% |
| glm-4-9b-chat | Q3_K_M | 9.4B | 4.72 GiB | 42.50 GiB | 47.96 GiB | 0.04 GiB | 3±25% |
| Mistral-Small-Instruct-2409 | Q2_K | 22.2B | 32.27 GiB | 14.88 GiB | 47.90 GiB | 0.10 GiB | 3±25% |
| L3-DARKEST-PLANET-16.5B | IQ4_XS | 16.5B | 28.30 GiB | 18.86 GiB | 47.90 GiB | 0.10 GiB | 3±25% |
| Llama-4-Scout-17B-16E-Instruct-abliterated-v2MoEKV unresolved | I1-Q2_K_S | 109B | 34.42 GiB | 12.75 GiB | 47.90 GiB | 0.10 GiB | 5±37% |
| Assistant_Pepe_70B | Q2_K | 70.6B | 25.79 GiB | 21.25 GiB | 47.87 GiB | 0.13 GiB | 3±25% |
| Hermes-4-70B | UD-IQ3_XXS | 70.6B | 25.76 GiB | 21.25 GiB | 47.83 GiB | 0.17 GiB | 3±25% |
| Llama-3.3-70B-Instruct | UD-IQ3_XXS | 70.6B | 25.76 GiB | 21.25 GiB | 47.83 GiB | 0.17 GiB | 3±25% |
| DeepSeek-R1-Distill-Llama-70B | UD-IQ3_XXS | 70.6B | 25.76 GiB | 21.25 GiB | 47.83 GiB | 0.17 GiB | 3±25% |
| HunyuanImage-2.1 | Q5_0 | 17.5B | 47.04 GiB | 0.00 GiB | 47.79 GiB | 0.21 GiB | 3±25% |
| glm-4-9b-chat-1m | IQ3_M | 9.5B | 4.53 GiB | 42.50 GiB | 47.77 GiB | 0.23 GiB | 3±25% |
| Huihui-Qwen3-Coder-Next-abliteratedMoE | Q4_K_L | 79.7B | 45.44 GiB | 1.59 GiB | 47.72 GiB | 0.28 GiB | 15±37% |
| Ace-Step1.5 | Q8_0 | 160M | 43.77 GiB | 3.21 GiB | 47.67 GiB | 0.33 GiB | 3±25% |
| Apertus-70B-Instruct-2509 | IQ3_XXS | 70.6B | 25.53 GiB | 21.25 GiB | 47.66 GiB | 0.34 GiB | 3±25% |
| Maenad-70B | I1-IQ3_XXS | 70.6B | 25.58 GiB | 21.25 GiB | 47.66 GiB | 0.34 GiB | 3±25% |
| DeepSeek-R1-Distill-Llama-70B-Uncensored-v2-Unbiased-Reasoner | I1-IQ3_XXS | 70.6B | 25.58 GiB | 21.25 GiB | 47.66 GiB | 0.34 GiB | 3±25% |
| Rombos-LLM-70b-Llama-3.3 | I1-IQ3_XXS | 70.6B | 25.58 GiB | 21.25 GiB | 47.66 GiB | 0.34 GiB | 3±25% |
| L3.3-Electra-R1-70b | I1-IQ3_XXS | 70.6B | 25.58 GiB | 21.25 GiB | 47.66 GiB | 0.34 GiB | 3±25% |
| L3.3-70B-Magnum-v4-SE | IQ3_XXS | 70.6B | 25.58 GiB | 21.25 GiB | 47.66 GiB | 0.34 GiB | 3±25% |
| Latxa-Llama-3.1-70B-Instruct-v2 | I1-IQ3_XXS | 70.6B | 25.58 GiB | 21.25 GiB | 47.66 GiB | 0.34 GiB | 3±25% |
| Llama-3.3_70_b_uncensored_continued | I1-IQ3_XXS | 70.6B | 25.58 GiB | 21.25 GiB | 47.66 GiB | 0.34 GiB | 3±25% |
| Llama-3.3-70B-Instruct-abliterated | I1-IQ3_XXS | 70.6B | 25.58 GiB | 21.25 GiB | 47.66 GiB | 0.34 GiB | 3±25% |
| grok-oss-Revenant-70B | I1-IQ3_XXS | 70.6B | 25.58 GiB | 21.25 GiB | 47.66 GiB | 0.34 GiB | 3±25% |
| Llama-3.1-Nemotron-70B-Instruct-HF | I1-IQ3_XXS | 70.6B | 25.58 GiB | 21.25 GiB | 47.66 GiB | 0.34 GiB | 3±25% |
| L3.3-70B-Euryale-v2.3 | I1-IQ3_XXS | 70.6B | 25.58 GiB | 21.25 GiB | 47.66 GiB | 0.34 GiB | 3±25% |
| Hermes-3-Llama-3.1-70B | IQ3_XXS | 70.6B | 25.58 GiB | 21.25 GiB | 47.66 GiB | 0.34 GiB | 3±25% |
| Hermes-4-70B-heretic | I1-IQ3_XXS | 70.6B | 25.58 GiB | 21.25 GiB | 47.66 GiB | 0.34 GiB | 3±25% |
| Llama-3.1-70B | IQ3_XXS | 70.6B | 25.58 GiB | 21.25 GiB | 47.66 GiB | 0.34 GiB | 3±25% |
| Anubis-70B-v1.2 | IQ3_XXS | 70.6B | 25.58 GiB | 21.25 GiB | 47.66 GiB | 0.34 GiB | 3±25% |
| Golem-70B-v1b | I1-IQ3_XXS | 70.6B | 25.58 GiB | 21.25 GiB | 47.66 GiB | 0.34 GiB | 3±25% |
| DeepSeek-R1-Distill-Llama-70B-abliterated | I1-IQ3_XXS | 70.6B | 25.58 GiB | 21.25 GiB | 47.66 GiB | 0.34 GiB | 3±25% |
| DeepSeek-R1-Distill-Llama-70B-heretic | I1-IQ3_XXS | 70.6B | 25.58 GiB | 21.25 GiB | 47.66 GiB | 0.34 GiB | 3±25% |
| Legion-V2.1-LLaMa-70B | I1-IQ3_XXS | 70.6B | 25.58 GiB | 21.25 GiB | 47.66 GiB | 0.34 GiB | 3±25% |
| Tess-R1-Limerick-Llama-3.1-70B | IQ3_XXS | 70.6B | 25.58 GiB | 21.25 GiB | 47.66 GiB | 0.34 GiB | 3±25% |
| SEMIKONG-70B | IQ3_XXS | 70.6B | 25.58 GiB | 21.25 GiB | 47.66 GiB | 0.34 GiB | 3±25% |
| functionary-medium-v3.2KV unresolved | IQ3_XXS | 70.6B | 25.58 GiB | 21.25 GiB | 47.66 GiB | 0.34 GiB | 3±25% |
| Llama-3.1-WhiteRabbitNeo-2-70B | IQ3_XXS | 70.6B | 25.58 GiB | 21.25 GiB | 47.66 GiB | 0.34 GiB | 3±25% |
| Infinity-Instruct-7M-Gen-Llama3_1-70B | I1-IQ3_XXS | 70.6B | 25.58 GiB | 21.25 GiB | 47.66 GiB | 0.34 GiB | 3±25% |
| New-Dawn-Llama-3-70B-32K-v1.0 | I1-IQ3_XXS | 70.6B | 25.58 GiB | 21.25 GiB | 47.66 GiB | 0.34 GiB | 3±25% |
| Meta-Llama-3-70B-Instruct-abliterated-v3.5 | I1-IQ3_XXS | 70.6B | 25.58 GiB | 21.25 GiB | 47.66 GiB | 0.34 GiB | 3±25% |
| Athene-70B | IQ3_XXS | 70.6B | 25.58 GiB | 21.25 GiB | 47.66 GiB | 0.34 GiB | 3±25% |
| L3.3-70B-Magnum-Diamond | IQ3_XXS | 70.6B | 25.58 GiB | 21.25 GiB | 47.66 GiB | 0.34 GiB | 3±25% |
| Meta-Llama-3-70B-Instruct | IQ3_XXS | 70.6B | 25.58 GiB | 21.25 GiB | 47.66 GiB | 0.34 GiB | 3±25% |
| IQuest-Coder-V1-40B-Instruct | I1-Q5_K_S | 39.8B | 25.53 GiB | 21.25 GiB | 47.58 GiB | 0.42 GiB | 3±25% |
| deepseek-llm-67b-chat | I1-IQ2_M | 67.4B | 21.53 GiB | 25.23 GiB | 47.56 GiB | 0.44 GiB | 3±25% |
| deepseek-llm-67b-base | I1-IQ2_M | 67.4B | 21.53 GiB | 25.23 GiB | 47.56 GiB | 0.44 GiB | 3±25% |
| openbuddy-deepseek-67b-v15.3-4k | I1-IQ2_M | 67.4B | 21.53 GiB | 25.23 GiB | 47.56 GiB | 0.44 GiB | 3±25% |
| Qwen2.5-Coder-32B-Instruct | Q3_K_M | 32.8B | 29.68 GiB | 17.00 GiB | 47.48 GiB | 0.52 GiB | 3±25% |
| Qwen3-Coder-Next-Opus-4.6-Reasoning-DistilledMoE | Q4_K_M | — | 45.16 GiB | 1.59 GiB | 47.44 GiB | 0.56 GiB | 15±37% |
| GLM-4.6VMoE | UD-IQ1_S | 108B | 34.49 GiB | 12.22 GiB | 47.44 GiB | 0.56 GiB | 5±37% |
| CalmeRys-78B-Orpo-v0.1 | I1-IQ1_M | 78.0B | 23.68 GiB | 22.84 GiB | 47.35 GiB | 0.65 GiB | 3±25% |
| calme-2.3-rys-78b | IQ1_M | 78.0B | 23.68 GiB | 22.84 GiB | 47.35 GiB | 0.65 GiB | 3±25% |
| c4ai-command-r-plus-08-2024 | IQ2_XS | 104B | 29.46 GiB | 17.00 GiB | 47.34 GiB | 0.66 GiB | 3±25% |
| Rombo-LLM-V3.0-Qwen-72b | I1-IQ2_XS | 72.7B | 25.20 GiB | 21.25 GiB | 47.28 GiB | 0.72 GiB | 3±25% |
| Qwen2.5-72B-Instruct-abliterated | I1-IQ2_XS | 72.7B | 25.20 GiB | 21.25 GiB | 47.28 GiB | 0.72 GiB | 3±25% |
| Qwen2.5-72B-Instruct-abliterated-v2 | I1-IQ2_XS | 72.7B | 25.20 GiB | 21.25 GiB | 47.28 GiB | 0.72 GiB | 3±25% |
| HuatuoGPT-o1-72B | IQ2_XS | 72.7B | 25.20 GiB | 21.25 GiB | 47.28 GiB | 0.72 GiB | 3±25% |
| MiroThinker-v1.0-72B | I1-IQ2_XS | 72.7B | 25.20 GiB | 21.25 GiB | 47.28 GiB | 0.72 GiB | 3±25% |
| EVA-Qwen2.5-72B-v0.2 | IQ2_XS | 72.7B | 25.20 GiB | 21.25 GiB | 47.28 GiB | 0.72 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?
- 1988 of 2118 indexed open-weight models fit a AMD Ryzen AI Max+ 395 (Radeon 8060S) at 131,072 context with q8_0 KV cache, the largest being codegeex4-all-9b at Q3_K_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.