Can Mistral 7B v0.3 run on Galaxy Z Fold8?
Galaxy Z Fold8 is not officially announced yet — chip and RAM below are consistent leaked specs. This page updates the moment official specs land.
YES — Runs great
Grade A · 83/100 · formula estimate
What this means
Our estimate says Mistral 7B v0.3 should fit comfortably on your Galaxy Z Fold8.
Download the Q4_K_M version, which is about 4.4 GB. We expect it to use about 5.7 GB of the roughly 12 GB available to a model on this phone.
At the estimated speed, a roughly 300-word answer may take about 46 seconds to finish.
This result is calculated from the phone and model specifications. It has not been measured on this exact phone and setup.
8.7tokens/s
estimated · faster than you read
5.7GB
needed at Q4_K_M
Q4_K_M
quant checked
A
grade · 83/100
needs 5.7 GBusable 12 GB
Snapdragon 8 Elite Gen 516 GB RAMCPU / GPUalso sold with 12 GB
See how fast it feels
Estimated at 8.7 tokens/s — faster than you read. A ~300-word reply takes about 46 seconds on this phone.
Where the memory goes
| Component | Detail | GB |
|---|---|---|
| Model weights | Q4_K_M GGUF (4.4 GB) + mmap overhead | 4.6 |
| KV cache | 4K context window | 0.5 |
| Runtime | llama.cpp + app overhead | 0.6 |
| Total needed | at Q4_K_M, 4K context | 5.7 |
| Usable on Galaxy Z Fold8 | 16 GB RAM − Android system reserve | 12 |
| Headroom | left for the OS and your other apps | 6.3 |
Pick your quant
| Quant | Download | Verdict | Speed |
|---|---|---|---|
| IQ1_S | 1.6 GB | ✓ Runs great | ~23.8 tokens/s |
| Q2_K | 2.7 GB | ✓ Runs great | ~14.1 tokens/s |
| Q3_K_M | 3.5 GB | ✓ Runs great | ~10.9 tokens/s |
| IQ4_XS | 3.9 GB | ✓ Runs great | ~9.8 tokens/s |
| Q4_K_S | 4.1 GB | ✓ Runs great | ~9.3 tokens/s |
| Q4_K_M BEST HERE | 4.4 GB | ✓ Runs great | ~8.7 tokens/s |
| Q5_K_M | 5.1 GB | ! Runs, barely | ~7.5 tokens/s |
| Q6_K | 5.9 GB | ! Runs, barely | ~6.5 tokens/s |
| Q8_0 | 7.7 GB | ! Runs, barely | ~5 tokens/s |
Get it running in 3 steps
1
Install PocketPal from the Play Store — free, no account needed.
2
Download "Mistral 7B v0.3 Q4_K_M" in the in-app model hub — 4.4 GB, use Wi-Fi. Search Hugging Face for
bartowski/Mistral-7B-Instruct-v0.3-GGUF and pick the Q4_K_M file.3
Set context to 4K — expect ~8.7 tokens/s on this phone.
Related checks
MORE ON GALAXY Z FOLD8
MISTRAL 7B V0.3 ON OTHER PHONES