Update README.md

README.md

@@ -1,37 +1,37 @@
 ---
 base_model: HuggingFaceTB/SmolVLM-Instruct
 library_name: peft
+license: apache-2.0
+datasets:
+- HuggingFaceH4/rlaif-v_formatted
+language:
+- en
+pipeline_tag: image-text-to-text
+tags:
+- trl
+- dpo
 ---
 
-# Model Card for Model ID
+<img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/SmolVLM.png" width="800" height="auto" alt="Image description">
 
-<!-- Provide a quick summary of what the model is/does. -->
+# SmolVLM
 
+SmolVLM is a compact open multimodal model that accepts arbitrary sequences of image and text inputs to produce text outputs. Designed for efficiency, SmolVLM can answer questions about images, describe visual content, create stories grounded on multiple images, or function as a pure language model without visual inputs. Its lightweight architecture makes it suitable for on-device applications while maintaining strong performance on multimodal tasks.
 
+## Model Summary
 
-## Model Details
+- **Developed by:** Hugging Face 🤗
+- **Model type:** Multi-modal model (image+text)
+- **Language(s) (NLP):** English
+- **License:** Apache 2.0
+- **Architecture:** Based on [Idefics3](https://huggingface.co/HuggingFaceM4/Idefics3-8B-Llama3) (see technical summary)
 
-### Model Description
-
-<!-- Provide a longer summary of what this model is. -->
-
-
-
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
-
-### Model Sources [optional]
-
-<!-- Provide the basic links for the model. -->
+## Resources
 
+- **Demo:** [SmolVLM Demo](https://huggingface.co/spaces/HuggingFaceTB/SmolVLM)
+- **Blog:** [More Information Needed]
+- **Technical Report:** [More Information Needed]
 - **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
 
 ## Uses