K-EXAONE 236B-A23B on Apple iPhone 17 Pro / 17 Pro Max
Can the Apple iPhone 17 Pro / 17 Pro Max run K-EXAONE 236B-A23B?
No, it doesn’t fit (over the app memory limit)
No. K-EXAONE 236B-A23B needs about 95.9 GB even at Q2_K; the Apple iPhone 17 Pro / 17 Pro Max has 7.2 GB usable.
Download K-EXAONE 236B-A23B
Quantized files · GGUF
Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.
huggingface.co/LGAI-EXAONE/K-EXAONE-236B-A23B-GGUF (opens in a new tab)
ollama run hf.co/LGAI-EXAONE/K-EXAONE-236B-A23B-GGUFOriginal weights · Hugging Face
Full-precision files from LG AI Research, for fine-tuning, vLLM, Transformers.
huggingface.co/LGAI-EXAONE/K-EXAONE-236B-A23B (opens in a new tab)
Official repo · GitHub
Reference code, inference scripts and docs from LG AI Research. The weights themselves download from Hugging Face.
github.com/LG-AI-EXAONE/K-EXAONE (opens in a new tab)
git clone https://github.com/LG-AI-EXAONE/K-EXAONEHow 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 | 8.3 / 45 | |
|---|---|---|
| Memory fit | 0.0 / 25 | |
| Speed | 0.0 / 15 | |
| Memory use | 0.0 / 15 | |
| Match score | 8.3 / 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 | 95.9 GB | 7.2 GB | — | Won't runover the app memory limit | 61Good quality (B) · 61 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. | |
Q3_K_M | 117 GB | 7.2 GB | — | Won't runover the app memory limit | 73Great quality (A) · 73 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. | |
Q4_K_M | 146 GB | 7.2 GB | — | Won't runover the app memory limit | 83Great quality (A) · 83 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 11/100 (quality, fit, speed and memory use) sets the ranking. | Q4_K_M |
Q5_K_M | 169 GB | 7.2 GB | — | Won't runover the app memory limit | 85Excellent quality (A+) · 85 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 11/100 (quality, fit, speed and memory use) sets the ranking. | Q5_K_M |
Q6_K | 195 GB | 7.2 GB | — | Won't runover the app memory limit | 87Excellent quality (A+) · 87 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 11/100 (quality, fit, speed and memory use) sets the ranking. | Q6_K |
Q8_0 | 252 GB | 7.2 GB | — | Won't runover the app memory limit | 88Excellent quality (A+) · 88 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 11/100 (quality, fit, speed and memory use) sets the ranking. | Q8_0 |
F16 | 475 GB | 7.2 GB | — | Won't runover the app memory limit | 88Excellent quality (A+) · 88 of 100: how capable the model is at F16, whatever it runs on. Match score 11/100 (quality, fit, speed and memory use) sets the ranking. | BF16 |
Memory figures assume 8K of context. Longer conversations or documents grow the KV cache.
Hardware that can run it
-
83Great quality (A) · 83 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.
Apple M3 Ultra (256 GB)
-
73Great quality (A) · 73 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.
Apple M2 Ultra (192 GB)
-
83Great quality (A) · 83 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.
Apple M3 Ultra (512 GB)
-
61Good quality (B) · 61 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GB10 (128 GB)
-
61Good quality (B) · 61 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA RTX PRO 6000 Blackwell
-
61Good quality (B) · 61 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.
Apple M4 Max (128 GB)
Models that do run on the Apple iPhone 17 Pro / 17 Pro Max
- 66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. Nemotron 3.5 Bolt E4B
- 57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. Ling 3.0 Tiny (8B-A1.3B)
- 58Good quality (B) · 58 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. Mellum2.1 Thinking (12B-A2.5B)
- 64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. Nanbeige4.2 3B
- 64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. Gemma 4 E4B
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.