Update README.md

README.md

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 ---
+quantized_by: cjpais
+base_model: vikhyatk/moondream2
+pipeline_tag: image-text-to-text
 license: apache-2.0
 ---
+
+A [llamafile](https://github.com/Mozilla-Ocho/llamafile) generated for [moondream2](https://huggingface.co/vikhyatk/moondream2)
+
+Big thanks to @jartine and @vikhyat for their respective works on llamafile and moondream
+
+# ORIGINAL MODEL CARD
+
+moondream2 is a small vision language model designed to run efficiently on edge devices. Check out the [GitHub repository](https://github.com/vikhyat/moondream) for details, or try it out on the [Hugging Face Space](https://huggingface.co/spaces/vikhyatk/moondream2)!
+
+**Benchmarks**
+
+| Release | VQAv2 | GQA | TextVQA | TallyQA (simple) | TallyQA (full) |
+| --- | --- | --- | --- | --- | --- |
+| 2024-03-04 | 74.2 | 58.5 | 36.4 | - | - |
+| 2024-03-06 | 75.4 | 59.8 | 43.1 | 79.5 | 73.2 |
+| 2024-03-13 | 76.8 | 60.6 | 46.4 | 79.6 | 73.3 |
+| **2024-04-02** (latest) | 77.7 | 61.7 | 49.7 | 80.1 | 74.2 |
+
+**Usage**
+
+```bash
+pip install transformers einops
+```
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+from PIL import Image
+
+model_id = "vikhyatk/moondream2"
+revision = "2024-04-02"
+model = AutoModelForCausalLM.from_pretrained(
+    model_id, trust_remote_code=True, revision=revision
+)
+tokenizer = AutoTokenizer.from_pretrained(model_id, revision=revision)
+
+image = Image.open('<IMAGE_PATH>')
+enc_image = model.encode_image(image)
+print(model.answer_question(enc_image, "Describe this image.", tokenizer))
+```
+
+The model is updated regularly, so we recommend pinning the model version to a
+specific release as shown above.