Update README.md

README.md

@@ -1,3 +1,29 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+---
+
+This model provides HuggingFaceTB/SmolVLM-256M-Instruct model in tflite format.
+You can use this model with [AI Edge Cpp Example](https://github.com/google-ai-edge/ai-edge-torch/tree/main/ai_edge_torch/generative/examples/cpp)
+You need to slightly modify this pipeline to support image as input (see COLAB example below).
+Currently, [AI Edge Torch](https://github.com/google-ai-edge/ai-edge-torch/tree/main/ai_edge_torch/generative/examples) models not supported
+on [MediaPipe LLM Inference API](https://ai.google.dev/edge/mediapipe/solutions/genai/llm_inference).
+For example [llava model](https://github.com/google-ai-edge/ai-edge-torch/tree/main/ai_edge_torch/generative/examples/qwen_vl), that was used to 
+as reference to write SmolVLM-256M-Instruct convertation scripts (coming soon).
+
+
+## Use the models
+
+### Colab
+
+
+
+
+## Details
+
+The model was converted using:
+```shell
+python convert_to_tflite.py --quantize="dynamic_int8"\
+ --checkpoint_path='./models/SmolVLM-256M-Instruct' --output_path="./models/SmolVLM-256M-Instruct-tflite"\
+ --mask_as_input=True --prefill_seq_lens=256 --kv_cache_max_len=2048
+```
+