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Can the AMD Ryzen AI Max+ 395 (128 GB) run Solar Open 100B?

82 ptsGreat (A) · 82 of 100 points: Model quality 34.2/45, Memory fit 25.0/25, Speed 8.0/15, Memory use 15.0/15

Yes, it runs well

Runs well. At Q4_K_M it needs about 72.5 GB of 96.0 GB usable, with an estimated speed of 11.3 tok/s.

Best quant
Q4_K_M
Generation speed
11.3 tok/s
Prompt processing
3,069 tok/s
First token (1K prompt)
0.3 s
Largest safe context
124K

Download Solar Open 100B

Recommended for the AMD Ryzen AI Max+ 395 (128 GB): Q4_K_M. Every other quantization has its own download link in the table below.

Quantized files · GGUF

Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.

Download the Q4_K_M file (opens in a new tab)

huggingface.co/mradermacher/Solar-Open-100B-i1-GGUF (opens in a new tab)

ollama run hf.co/mradermacher/Solar-Open-100B-i1-GGUF:Q4_K_M

Original weights · Hugging Face

Full-precision files from Upstage, for fine-tuning, vLLM, Transformers.

huggingface.co/upstage/Solar-Open-100B (opens in a new tab)

No sign-in needed.

Links checked 6 days ago against Hugging Face, Ollama and GitHub.

How the A grade is scored

Every result gets up to 100 points from four parts. The points decide the letter grade.

Model qualityEditorial quality tier of the model, scaled by the quantization or precision used.34.2 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.25.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.8.0 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.15.0 / 15
Total82.2 / 10082 ptsGreat (A) · 82 of 100 points: Model quality 34.2/45, Memory fit 25.0/25, Speed 8.0/15, Memory use 15.0/15

Grade scale: S 85+ · A 72+ · B 58+ · C 42+ · D 25+ · F under 25 points.

Every quantization on the AMD Ryzen AI Max+ 395 (128 GB)

Quant Memory needed Available Speed Fit Grade · points Download
Q2_K 51.0 GB 96.0 GB 18.5 tok/s Runs well 72 ptsGreat (A) · 72 of 100 points: Model quality 25.2/45, Memory fit 25.0/25, Speed 10.2/15, Memory use 12.2/15 GGUF (opens in a new tab)
Q3_K_M 60.2 GB 96.0 GB 14.6 tok/s Runs well 78 ptsGreat (A) · 78 of 100 points: Model quality 30.2/45, Memory fit 25.0/25, Speed 9.1/15, Memory use 14.5/15 GGUF (opens in a new tab)
Q4_K_M 72.5 GB 96.0 GB 11.3 tok/s Runs well 82 ptsGreat (A) · 82 of 100 points: Model quality 34.2/45, Memory fit 25.0/25, Speed 8.0/15, Memory use 15.0/15 GGUF (opens in a new tab)
Q5_K_M 82.8 GB 96.0 GB 9.3 tok/s Tight fit 81 ptsGreat (A) · 81 of 100 points: Model quality 34.9/45, Memory fit 24.0/25, Speed 7.2/15, Memory use 15.0/15 GGUF (opens in a new tab)
Q6_K 94.1 GB 96.0 GB 7.8 tok/s Tight fit 81 ptsGreat (A) · 81 of 100 points: Model quality 35.6/45, Memory fit 24.0/25, Speed 6.6/15, Memory use 15.0/15 GGUF (opens in a new tab)
Q8_0 119 GB 96.0 GB — Won't run 10 ptsWon't run (F) · 10 of 100 points: Model quality 10.8/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 GGUF files (opens in a new tab)
F16 215 GB 96.0 GB — Won't run 10 ptsWon't run (F) · 10 of 100 points: Model quality 10.8/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 Original weights (opens in a new tab)

Memory figures assume 8K of context. Longer conversations or documents grow the KV cache.

Other hardware that runs it

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.