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| Metric | Value |
|---|---|
| Phone Speed | 21.9 tokens/sec |
| CPU Speed | 16.4 tokens/sec |
| File Size | 401 MB |
| Chat Format | chatml |
| Test Output | "Paris" ✅ (correct) |
1from llama_cpp import Llama
2
3llm = Llama(model_path="model.gguf", chat_format="chatml", n_ctx=512, n_threads=4, verbose=False)
4response = llm.create_chat_completion(
5 messages=[{"role": "user", "content": "What is the capital of France?"}],
6 max_tokens=50,
7)
8print(response["choices"][0]["message"]["content"])1from dispatchai import load_model
2model = load_model("Qwen2.5-0.5B-Chinese-mobile", backend="gguf")
3print(model.chat("What is the capital of France?"))1hf download dispatchAI/Qwen2.5-0.5B-Chinese-mobile model.gguf
2MSYS_NO_PATHCONV=1 adb push model.gguf /data/local/tmp/
3MSYS_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"| Attribute | Value |
|---|---|
| Base Model | Qwen/Qwen2.5-0.5B-Instruct |
| File Size | 401 MB |
| Format | GGUF |
| Chat Format | chatml |
| License | apache-2.0 |