Can Fara 1.5 27B run on Huawei Mate X7?
YES — Runs, barely
Grade B · 61/100 · formula estimate
What this means
Our estimate says Fara 1.5 27B should fit, but replies are likely to arrive slowly.
Download the Q2_K version, which is about 11.6 GB. We expect it to use about 14.7 GB of the roughly 16 GB available to a model on this phone.
At the estimated speed, a roughly 300-word answer may take about 2 minutes to finish.
This result is calculated from the phone and model specifications. It has not been measured on this exact phone and setup.
3tokens/s
estimated · reading pace
14.7GB
needed at Q2_K
Q2_K
quant checked
B
grade · 61/100
needs 14.7 GBusable 16 GB
Kirin 9030 Pro20 GB RAMCPU / GPUAlso sold with 12/16 GB
Make it bearable
1
Drop context to 2K — saves ~1 GB of KV cache and a little speed.
2
Close every other app before loading — the 1.3 GB headroom is real; Android may kill the app otherwise.
3
Expect throttling after ~10 min of sustained generation on a phone chassis.
See how fast it feels
Estimated at 3 tokens/s — reading pace. A ~300-word reply takes about 133 seconds on this phone.
Where the memory goes
| Component | Detail | GB |
|---|---|---|
| Model weights | Q2_K GGUF (11.6 GB) + mmap overhead | 12.2 |
| KV cache | 4K context window | 1.9 |
| Runtime | llama.cpp + app overhead | 0.6 |
| Total needed | at Q2_K, 4K context | 14.7 |
| Usable on Huawei Mate X7 | 20 GB RAM − Android system reserve | 16 |
| Headroom | left for the OS and your other apps | 1.3 |
Pick your quant
| Quant | Download | Verdict | Speed |
|---|---|---|---|
| Q2_K BEST HERE | 11.6 GB | ! Runs, barely | ~3 tokens/s |
| Q3_K_M | 14.4 GB | ✕ Won't fit | won't fit |
| IQ4_XS | 15.3 GB | ✕ Won't fit | won't fit |
| Q4_0 | 16.1 GB | ✕ Won't fit | won't fit |
| Q4_K_S | 16.5 GB | ✕ Won't fit | won't fit |
| Q4_K_M | 17.5 GB | ✕ Won't fit | won't fit |
| Q5_K_M | 20.5 GB | ✕ Won't fit | won't fit |
| Q6_K | 23.2 GB | ✕ Won't fit | won't fit |
| Q8_0 | 28.7 GB | ✕ Won't fit | won't fit |
Get it running in 3 steps
1
Install PocketPal from Google Play — free, no account needed.
2
Download "Fara 1.5 27B Q2_K" in the in-app model hub — 11.6 GB, use Wi-Fi. Search Hugging Face for
bartowski/Fara1.5-27B-GGUF and pick the Q2_K file.3
Set context to 4K — expect ~3 tokens/s on this phone.
Related checks
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