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Can the AMD Ryzen AI 9 HX 470 (DDR5 SO-DIMM) (32 GB) run Yi 6B Chat?

48 ptsUsable (C) · 48 of 100 points: Model quality 6.3/45, Memory fit 25.0/25, Speed 12.0/15, Memory use 5.0/15

Yes, it runs well

Runs well. At Q2_K it needs about 5.2 GB of 24.0 GB usable, with an estimated speed of 25.7 tok/s.

Best quant
Q2_K
Generation speed
25.7 tok/s
Prompt processing
2,599 tok/s
First token (1K prompt)
0.4 s
Largest safe context
4K

Download Yi 6B Chat

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.

Quickest · Ollama

One command downloads a ready-to-run version and starts a chat.

ollama run yi:6b-chat-q2_K

Get Ollama at ollama.com/download (opens in a new tab) · model page (opens in a new tab)

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/mradermacher/Yi-6B-Chat-GGUF (opens in a new tab)

ollama run hf.co/mradermacher/Yi-6B-Chat-GGUF:Q2_K

Original weights · Hugging Face

Full-precision files from 01.AI, for fine-tuning, vLLM, Transformers.

huggingface.co/01-ai/Yi-6B-Chat (opens in a new tab)

No sign-in needed.

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

How the C 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.6.3 / 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.12.0 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.5.0 / 15
Total48.3 / 10048 ptsUsable (C) · 48 of 100 points: Model quality 6.3/45, Memory fit 25.0/25, Speed 12.0/15, Memory use 5.0/15

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 5.2 GB 24.0 GB 25.7 tok/s Runs well 48 ptsUsable (C) · 48 of 100 points: Model quality 6.3/45, Memory fit 25.0/25, Speed 12.0/15, Memory use 5.0/15 GGUF (opens in a new tab)
Q3_K_M 5.8 GB 24.0 GB 20.2 tok/s Runs well 48 ptsUsable (C) · 48 of 100 points: Model quality 7.6/45, Memory fit 25.0/25, Speed 10.7/15, Memory use 5.5/15 GGUF (opens in a new tab)
Q4_K_M 6.5 GB 24.0 GB 15.6 tok/s Runs well 49 ptsUsable (C) · 49 of 100 points: Model quality 8.6/45, Memory fit 25.0/25, Speed 9.4/15, Memory use 6.2/15 GGUF (opens in a new tab)
Q5_K_M 7.1 GB 24.0 GB 12.9 tok/s Runs well 49 ptsUsable (C) · 49 of 100 points: Model quality 8.7/45, Memory fit 25.0/25, Speed 8.5/15, Memory use 6.8/15 GGUF (opens in a new tab)
Q6_K 7.8 GB 24.0 GB 10.8 tok/s Runs well 49 ptsUsable (C) · 49 of 100 points: Model quality 8.9/45, Memory fit 25.0/25, Speed 7.8/15, Memory use 7.5/15 GGUF (opens in a new tab)
Q8_0 9.2 GB 24.0 GB 8.0 tok/s Runs well 49 ptsUsable (C) · 49 of 100 points: Model quality 9.0/45, Memory fit 25.0/25, Speed 6.7/15, Memory use 8.9/15 GGUF (opens in a new tab)
F16 14.9 GB 24.0 GB 3.7 tok/s Runs well 52 ptsUsable (C) · 52 of 100 points: Model quality 9.0/45, Memory fit 25.0/25, Speed 4.5/15, Memory use 14.3/15 GGUF (opens in a new tab) Original weights (opens in a new tab)

Memory figures assume 4K 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.