Command R7B Arabic on Apple iPhone 17 Pro / 17 Pro Max
Can the Apple iPhone 17 Pro / 17 Pro Max run Command R7B Arabic?
Yes, it runs well
Runs well. At Q4_K_M it needs about 5.9 GB of 7.2 GB usable, with an estimated speed of 12.1 tok/s.
- Best quant
Q4_K_M- Generation speed
- 12.1 tok/s
- Prompt processing
- 240 tok/s
- First token (1K prompt)
- 4.3 s
- Largest safe context
- 36K
Download Command R7B Arabic
On a phone, tablet or other mobile device you install a chat app and get the model file through it, so there are no commands to copy.
On iPhone or iPad
No mobile app in the App Store runs Command R7B Arabic right now: mobile apps need a GGUF version, and none is published. Mobile apps · models that run on mobile devices.
Files and commands for a computer
Original weights · Hugging Face
Full-precision files from Cohere, for fine-tuning, vLLM, Transformers.
huggingface.co/CohereLabs/c4ai-command-r7b-arabic-02-2025 (opens in a new tab)
How it’s rated
Match score
To order lists, each result also gets a match score out of 100 from four parts. It favors the most capable model that still runs well.
| Model quality | 18.0 / 45 | |
|---|---|---|
| Memory fit | 25.0 / 25 | |
| Speed | 8.2 / 15 | |
| Memory use | 15.0 / 15 | |
| Match score | 66.2 / 100 |
Every quantization on the Apple iPhone 17 Pro / 17 Pro Max
| Quant | Memory needed | Available | Speed | Runs | Quality | File to pick in the app |
|---|---|---|---|---|---|---|
Q2_K | 4.2 GB | 7.2 GB | 19.8 tok/s | Runs well | 29Basic quality (D) · 29 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking. | |
Q3_K_M | 4.9 GB | 7.2 GB | 15.6 tok/s | Runs well | 35Basic quality (D) · 35 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. | |
Q4_K_M | 5.9 GB | 7.2 GB | 12.1 tok/s | Runs well | 39Basic quality (D) · 39 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. | |
Q5_K_M | 6.7 GB | 7.2 GB | 10.0 tok/s | Slowtight fit | 40Fair quality (C) · 40 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. | |
Q6_K | 7.6 GB | 7.2 GB | — | Won't runover the app memory limit | 41Fair quality (C) · 41 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 5/100 (quality, fit, speed and memory use) sets the ranking. | |
Q8_0 | 9.5 GB | 7.2 GB | — | Won't runover the app memory limit | 42Fair quality (C) · 42 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 5/100 (quality, fit, speed and memory use) sets the ranking. | |
F16 | 17.0 GB | 7.2 GB | — | Won't runover the app memory limit | 42Fair quality (C) · 42 of 100: how capable the model is at F16, whatever it runs on. Match score 5/100 (quality, fit, speed and memory use) sets the ranking. |
Memory figures assume 8K of context. Longer conversations or documents grow the KV cache.
Other hardware that runs it
-
42Fair quality (C) · 42 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4070 SUPER
-
42Fair quality (C) · 42 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.
AMD Radeon RX 9070 XT
-
42Fair quality (C) · 42 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4070 Ti SUPER
-
42Fair quality (C) · 42 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4080 SUPER
-
42Fair quality (C) · 42 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 5070 Ti
-
42Fair quality (C) · 42 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 5080
Quick answers
How much memory does Command R7B Arabic need on the iPhone 17 Pro?
At Q4_K_M it needs about 5.9 GB. The iPhone 17 Pro has 7.2 GB usable.
How fast is Command R7B Arabic on the iPhone 17 Pro?
About 12.1 tok/s at Q4_K_M, an estimate from the hardware’s memory bandwidth and the size of the model.
Which quantization of Command R7B Arabic should I use on the iPhone 17 Pro?
Q4_K_M. Of the versions that fit, it is the one that runs best; when two run equally well, the check prefers the higher-rated one.
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.