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dispatchAI/MiniCPM5-1B-mobile

sourceHugging Faceapache-2.0updated 3mo agoView on Hugging Face
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Model Card

MiniCPM5-1B-mobile

Verified on real phone hardware — Snapdragon 865, June 2026.

Phone Benchmark (Samsung S20 FE, Snapdragon 865)

MetricValue
Phone Speed27.9 tokens/sec
CPU Speed18.1 tokens/sec
File Size656 MB
Chat FormatNone
Test Output"Paris" ✅ (correct)

Usage

Python (llama-cpp-python)

python
from llama_cpp import Llama

llm = Llama(model_path="model.gguf", chat_format="None", n_ctx=512, n_threads=4, verbose=False)
response = llm.create_chat_completion(
    messages=[{"role": "user", "content": "What is the capital of France?"}],
    max_tokens=50,
)
print(response["choices"][0]["message"]["content"])

dispatchAI SDK

python
from dispatchai import load_model
model = load_model("MiniCPM5-1B-mobile", backend="gguf")
print(model.chat("What is the capital of France?"))

On Android (via ADB)

bash
hf download dispatchAI/MiniCPM5-1B-mobile model.gguf
MSYS_NO_PATHCONV=1 adb push model.gguf /data/local/tmp/
MSYS_NO_PATHCONV=1 adb shell "cd /data/local/tmp && LD_LIBRARY_PATH=/data/local/tmp ./llama-cli -m model.gguf -p 'Hello' -n 30 -t 4 -st"

Model Details

AttributeValue
Base Modelopenbmb/MiniCPM-V-4
File Size656 MB
FormatGGUF
Chat FormatNone
Licenseapache-2.0

About dispatchAI

dispatchAI — Small. Mobile. Free. UAE-built.