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Can the AMD Ryzen AI 9 HX 470 (DDR5 SO-DIMM) (32 GB) run Kimi Linear 48B-A3B?

74 ptsGreat (A) · 74 of 100 points: Model quality 23.3/45, Memory fit 24.0/25, Speed 12.1/15, Memory use 15.0/15

Yes, with little memory to spare

Tight fit. At Q2_K it needs about 22.2 GB of 24.0 GB usable, with an estimated speed of 25.9 tok/s.

Best quant
Q2_K
Generation speed
25.9 tok/s
Prompt processing
5,249 tok/s
First token (1K prompt)
0.3 s
Largest safe context
221K

Download Kimi Linear 48B-A3B

Recommended for the AMD Ryzen AI 9 HX 470 (DDR5 SO-DIMM) (32 GB): Q2_K. 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 Q2_K file (opens in a new tab)

huggingface.co/bartowski/moonshotai_Kimi-Linear-48B-A3B-Instruct-GGUF (opens in a new tab)

ollama run hf.co/bartowski/moonshotai_Kimi-Linear-48B-A3B-Instruct-GGUF:Q2_K

Original weights · Hugging Face

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

huggingface.co/moonshotai/Kimi-Linear-48B-A3B-Instruct (opens in a new tab)

No sign-in needed.

Official repo · GitHub

Reference code, inference scripts and docs from Moonshot AI. The weights themselves download from Hugging Face.

github.com/MoonshotAI/Kimi-Linear (opens in a new tab)

git clone https://github.com/MoonshotAI/Kimi-Linear

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.23.3 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.24.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.12.1 / 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
Total74.4 / 10074 ptsGreat (A) · 74 of 100 points: Model quality 23.3/45, Memory fit 24.0/25, Speed 12.1/15, 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 9 HX 470 (DDR5 SO-DIMM) (32 GB)

Quant Memory needed Available Speed Fit Grade · points Download
Q2_K 22.2 GB 24.0 GB 25.9 tok/s Tight fit 74 ptsGreat (A) · 74 of 100 points: Model quality 23.3/45, Memory fit 24.0/25, Speed 12.1/15, Memory use 15.0/15 GGUF (opens in a new tab)
Q3_K_M 26.7 GB 24.0 GB 17.3 tok/s Heavy offload 56 ptsUsable (C) · 56 of 100 points: Model quality 28.0/45, Memory fit 4.0/25, Speed 9.9/15, Memory use 15.0/15 GGUF (opens in a new tab)
Q4_K_M 32.5 GB 24.0 GB — Won't run 9 ptsWon't run (F) · 9 of 100 points: Model quality 9.5/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 GGUF (opens in a new tab)
Q5_K_M 37.5 GB 24.0 GB — Won't run 9 ptsWon't run (F) · 9 of 100 points: Model quality 9.7/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 GGUF (opens in a new tab)
Q6_K 42.9 GB 24.0 GB — Won't run 9 ptsWon't run (F) · 9 of 100 points: Model quality 9.9/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 GGUF (opens in a new tab)
Q8_0 54.7 GB 24.0 GB — Won't run 9 ptsWon't run (F) · 9 of 100 points: Model quality 10.0/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 GGUF · folder (opens in a new tab)
F16 101 GB 24.0 GB — Won't run 9 ptsWon't run (F) · 9 of 100 points: Model quality 10.0/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 GGUF · folder (opens in a new tab) 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.