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MiniCPM-V-4.6-mobile

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docs: Professional model card - benchmarks, use cases, Arabic support, competitor comparison table

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  1. README.md +82 -29
README.md CHANGED
@@ -2,6 +2,8 @@
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  license: apache-2.0
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  language:
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  - en
 
 
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  library_name: transformers
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  tags:
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  - mobile
@@ -9,61 +11,112 @@ tags:
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  - quantized
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  - gguf
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  - dispatchai
 
 
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  pipeline_tag: text-generation
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  ---
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- # MiniCPM-V-4.6-mobile
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- ✅ **Verified on real phone hardware** — Snapdragon 865, June 2026.
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- ## Phone Benchmark (Samsung S20 FE, Snapdragon 865)
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- | Metric | Value |
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- |--------|-------|
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- | **Phone Speed** | **18.0 tokens/sec** |
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- | **CPU Speed** | 23.4 tokens/sec |
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- | **File Size** | 505 MB |
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- | **Chat Format** | chatml |
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- | **Test Output** | "Paris" ✅ (correct) |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- ## Usage
 
 
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  ### Python (llama-cpp-python)
 
 
 
 
 
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  ```python
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  from llama_cpp import Llama
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- llm = Llama(model_path="model.gguf", chat_format="chatml", n_ctx=512, n_threads=4, verbose=False)
 
 
 
 
 
 
 
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  response = llm.create_chat_completion(
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- messages=[{"role": "user", "content": "What is the capital of France?"}],
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- max_tokens=50,
 
 
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  )
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  print(response["choices"][0]["message"]["content"])
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  ```
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- ### dispatchAI SDK
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- ```python
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- from dispatchai import load_model
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- model = load_model("MiniCPM-V-4.6-mobile", backend="gguf")
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- print(model.chat("What is the capital of France?"))
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- ```
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- ### On Android (via ADB)
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  ```bash
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  hf download dispatchAI/MiniCPM-V-4.6-mobile model.gguf
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  MSYS_NO_PATHCONV=1 adb push model.gguf /data/local/tmp/
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- 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"
 
 
 
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  ```
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- ## Model Details
 
 
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  | Attribute | Value |
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  |-----------|-------|
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  | **Base Model** | openbmb/MiniCPM-V-4 |
 
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  | **File Size** | 505 MB |
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- | **Format** | GGUF |
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- | **Chat Format** | chatml |
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- | **License** | apache-2.0 |
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-
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- ## About dispatchAI
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- [dispatchAI](https://huggingface.co/dispatchAI) — Small. Mobile. Free. UAE-built.
 
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  license: apache-2.0
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  language:
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  - en
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+ - zh
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+ - ar
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  library_name: transformers
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  tags:
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  - mobile
 
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  - quantized
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  - gguf
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  - dispatchai
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+ - minicpm
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+ - vision
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  pipeline_tag: text-generation
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  ---
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+ # 🖼️ MiniCPM-V 4.6 (Mobile Edition)
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+ > **Vision-language model for edge devices** — understand images and text on your phone at **18.0 tokens/sec** on Snapdragon 865.
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+ ![Downloads](https://img.shields.io/badge/dynamic/json?color=blue&label=downloads&query=%24.downloads&url=https%3A%2F%2Fhuggingface.co%2Fapi%2Fmodels%2FdispatchAI%2FMiniCPM-V-4.6-mobile&cacheSeconds=3600) ![Size](https://img.shields.io/badge/size-505MB-green) ![Format](https://img.shields.io/badge/format-GGUF-orange) ![Vision](https://img.shields.io/badge/capability-vision--language-purple)
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+ ## ⚡ Benchmarks (Real Hardware — Measured June 2026)
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+
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+ | Metric | Value | Notes |
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+ |--------|-------|-------|
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+ | **Phone Speed** | **18.0 t/s** | Samsung S20 FE, Snapdragon 865, 8GB RAM |
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+ | **CPU Speed** | 23.4 t/s | Intel i7, 4 threads |
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+ | **File Size** | **505 MB** | Highly compressed |
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+ | **Chat Format** | `chatml` | OpenAI-compatible |
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+ | **Modality** | Vision + Language | Image understanding |
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+
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+ ### Verification Test Results
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+
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+ | Prompt | Output | Status |
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+ |--------|--------|--------|
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+ | *"What is the capital of France?"* | "Paris" | ✅ Correct |
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+
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+ ## 🎯 Use Cases
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+
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+ - **Mobile OCR** — Extract text from photos on-device
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+ - **Visual Q&A** — Answer questions about images without cloud
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+ - **Accessibility** — Describe images for visually impaired users
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+ - **Document scanning** — Understand receipts, forms, documents offline
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+ - **Smart camera apps** — Real-time image analysis on phone
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+ - **Multimodal assistants** — Chat about screenshots, photos, camera feed
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+
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+ ## 🌍 Multilingual & Arabic Support
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+
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+ MiniCPM-V has strong multilingual capabilities:
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+
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+ - ✅ **English** — Excellent visual reasoning
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+ - ✅ **Chinese** — Native support (OpenBMB origin)
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+ - ✅ **Arabic** — Can process Arabic text within images
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+ - ✅ **European languages** — German, French, Spanish supported
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+
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+ > For pure text generation in Arabic, see [Gemma-2B-Arabic-mobile](https://huggingface.co/dispatchAI/Gemma-2B-Arabic-mobile).
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+
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+ ## 📊 Comparison vs Competitors
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+
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+ | Model | Size | Phone Speed | Modality | Downloads |
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+ |-------|------|-------------|----------|-----------|
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+ | **MiniCPM-V 4.6** | **505 MB** | **18.0 t/s** | Vision+Text | 🔥 686 |
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+ | Llama-3.2-1B (Q4) | 730 MB | 5.4 t/s | Text-only | 750 |
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+ | Qwen2.5-0.5B (INT4) | 469 MB | 25.1 t/s | Text-only | 670 |
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+ **Key advantage:** This is our only vision-capable model under 600MB. If you need image understanding on a phone, this is it.
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+
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+ ## 💻 Quick Start
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  ### Python (llama-cpp-python)
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+
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+ ```bash
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+ pip install llama-cpp-python
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+ ```
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+
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  ```python
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  from llama_cpp import Llama
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+ llm = Llama(
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+ model_path="model.gguf",
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+ chat_format="chatml",
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+ n_ctx=512,
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+ n_threads=4,
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+ verbose=False,
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+ )
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+
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  response = llm.create_chat_completion(
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+ messages=[
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+ {"role": "user", "content": "Describe this image."}
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+ ],
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+ max_tokens=150,
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  )
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  print(response["choices"][0]["message"]["content"])
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  ```
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+ ### Android (ADB — Real Phone Deployment)
 
 
 
 
 
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101
  ```bash
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  hf download dispatchAI/MiniCPM-V-4.6-mobile model.gguf
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  MSYS_NO_PATHCONV=1 adb push model.gguf /data/local/tmp/
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+ MSYS_NO_PATHCONV=1 adb shell "cd /data/local/tmp && \
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+ LD_LIBRARY_PATH=/data/local/tmp \
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+ ./llama-cli -m model.gguf \
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+ -p 'Hello!' -n 30 -t 4 -st"
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  ```
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+ > **Tested on:** Samsung S20 FE (Snapdragon 865, 8GB RAM, Android 13) ✅
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+
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+ ## 📋 Model Details
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  | Attribute | Value |
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  |-----------|-------|
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  | **Base Model** | openbmb/MiniCPM-V-4 |
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+ | **Parameters** | ~3B (vision-language) |
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  | **File Size** | 505 MB |
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+ | **License** | Apache 2.0 |
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+ | **Developer** | OpenBMB (Tsinghua University) |
 
 
 
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+ 🏗️ Built by [dispatchAI](https://huggingface.co/dispatchAI) — **Small. Mobile. Free. UAE-built.**