Check my GPU

on

Can the Apple M2 Pro (32 GB) run Falcon 7B Instruct?

47 ptsUsable (C) · 47 of 100 points: Model quality 1.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 5.6/15

Yes, it runs well

Runs well. At Q2_K it needs about 5.2 GB of 21.4 GB usable, with an estimated speed of 48.1 tok/s.

Best quant
Q2_K
Generation speed
48.1 tok/s
Prompt processing
584 tok/s
First token (1K prompt)
1.8 s
Largest safe context
2K

Download Falcon 7B Instruct

Recommended for the Apple M2 Pro (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 falcon:7b

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/QuantFactory/falcon-7b-instruct-GGUF (opens in a new tab)

ollama run hf.co/QuantFactory/falcon-7b-instruct-GGUF:Q2_K

Original weights · Hugging Face

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

huggingface.co/tiiuae/falcon-7b-instruct (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.1.9 / 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.15.0 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.5.6 / 15
Total47.5 / 10047 ptsUsable (C) · 47 of 100 points: Model quality 1.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 5.6/15

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

Every quantization on the Apple M2 Pro (32 GB)

Quant Memory needed Available Speed Fit Grade · points Download
Q2_K 5.2 GB 21.4 GB 48.1 tok/s Runs well 47 ptsUsable (C) · 47 of 100 points: Model quality 1.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 5.6/15 GGUF (opens in a new tab)
Q3_K_M 5.9 GB 21.4 GB 37.9 tok/s Runs well 48 ptsUsable (C) · 48 of 100 points: Model quality 2.3/45, Memory fit 25.0/25, Speed 14.6/15, Memory use 6.3/15 GGUF (opens in a new tab)
Q4_K_M 6.7 GB 21.4 GB 29.3 tok/s Runs well 47 ptsUsable (C) · 47 of 100 points: Model quality 2.6/45, Memory fit 25.0/25, Speed 12.8/15, Memory use 7.3/15 GGUF (opens in a new tab)
Q5_K_M 7.5 GB 21.4 GB 24.2 tok/s Runs well 47 ptsUsable (C) · 47 of 100 points: Model quality 2.6/45, Memory fit 25.0/25, Speed 11.7/15, Memory use 8.0/15 GGUF (opens in a new tab)
Q6_K 8.3 GB 21.4 GB 20.3 tok/s Runs well 47 ptsUsable (C) · 47 of 100 points: Model quality 2.7/45, Memory fit 25.0/25, Speed 10.7/15, Memory use 8.9/15 GGUF (opens in a new tab)
Q8_0 10.0 GB 21.4 GB 14.9 tok/s Runs well 47 ptsUsable (C) · 47 of 100 points: Model quality 2.7/45, Memory fit 25.0/25, Speed 9.2/15, Memory use 10.7/15 GGUF (opens in a new tab)
F16 16.8 GB 21.4 GB 6.9 tok/s Runs well 48 ptsUsable (C) · 48 of 100 points: Model quality 2.7/45, Memory fit 25.0/25, Speed 6.2/15, Memory use 15.0/15 Original weights (opens in a new tab)

Memory figures assume 2K 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.