Can the Apple M2 (8 GB) run GLM-4 9B Chat 1M?

49 pts

Yes, with part of the model in system RAM

Runs with offload. At Q2_K it needs about 5.5 GB of 5.4 GB usable, with an estimated speed of 15.6 tok/s.

Best quant: Q2_K
Generation speed: 15.6 tok/s
Prompt processing: 235 tok/s
First token (1K prompt): 4.3 s
Largest safe context: 6K

Download GLM-4 9B Chat 1M

Recommended for the Apple M2 (8 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/glm-4-9b-chat-1m-GGUF (opens in a new tab)

ollama run hf.co/bartowski/glm-4-9b-chat-1m-GGUF:Q2_K

Original weights · Hugging Face

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

huggingface.co/zai-org/glm-4-9b-chat-1m (opens in a new tab)

No sign-in needed.

Links checked 7 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.	15.1 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.	10.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.	9.4 / 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
Total	49.5 / 100	49 ptsUsable (C) · 49 of 100 points: Model quality 15.1/45, Memory fit 10.0/25, Speed 9.4/15, 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 Apple M2 (8 GB)

Quant	Memory needed	Available	Speed	Fit	Grade · points	Download
`Q2_K`	5.5 GB	5.4 GB	15.6 tok/s	Runs with offload	49 ptsUsable (C) · 49 of 100 points: Model quality 15.1/45, Memory fit 10.0/25, Speed 9.4/15, Memory use 15.0/15	GGUF (opens in a new tab)
`Q3_K_M`	6.3 GB	5.4 GB	12.3 tok/s	Heavy offload	45 ptsUsable (C) · 45 of 100 points: Model quality 18.1/45, Memory fit 4.0/25, Speed 8.3/15, Memory use 15.0/15	GGUF (opens in a new tab)
`Q4_K_M`	7.5 GB	5.4 GB	—	Won't run	6 ptsWon't run (F) · 6 of 100 points: Model quality 6.2/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF (opens in a new tab)
`Q5_K_M`	8.4 GB	5.4 GB	—	Won't run	6 ptsWon't run (F) · 6 of 100 points: Model quality 6.3/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF (opens in a new tab)
`Q6_K`	9.5 GB	5.4 GB	—	Won't run	6 ptsWon't run (F) · 6 of 100 points: Model quality 6.4/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF (opens in a new tab)
`Q8_0`	11.7 GB	5.4 GB	—	Won't run	6 ptsWon't run (F) · 6 of 100 points: Model quality 6.5/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF (opens in a new tab)
`F16`	20.7 GB	5.4 GB	—	Won't run	6 ptsWon't run (F) · 6 of 100 points: Model quality 6.5/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF (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

76 ptsGreat (A) · 76 of 100 points: Model quality 21.6/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 5090 F16 · 54.4 tok/s
76 ptsGreat (A) · 76 of 100 points: Model quality 21.6/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 4070 Ti SUPER Q8_0 · 44.3 tok/s
76 ptsGreat (A) · 76 of 100 points: Model quality 21.6/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 4080 SUPER Q8_0 · 48.5 tok/s
76 ptsGreat (A) · 76 of 100 points: Model quality 21.6/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 5070 Ti Q8_0 · 59.1 tok/s
76 ptsGreat (A) · 76 of 100 points: Model quality 21.6/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 5080 Q8_0 · 63.3 tok/s
76 ptsGreat (A) · 76 of 100 points: Model quality 21.4/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 4070 SUPER Q6_K · 45.3 tok/s

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.