Improve metadata: add pipeline tag, library name, license, and Github link

README.md

@@ -1,20 +1,17 @@
 ---
-tags:
-  - lora
-  - llama
-  - vision-language
-  - peft
-  - fine-tuned
-license: llama3.2
 base_model: meta-llama/Llama-3.2-11B-Vision-Instruct
-library_name: peft
-model_type: causal-lm
-datasets:
-  - your-dataset-name  # If applicable
+library_name: transformers
+license: llama3.2
+tags:
+- lora
+- llama
+- vision-language
+- peft
+- fine-tuned
 inference: false
+pipeline_tag: image-text-to-text
 ---
 
-
 # **lavender-llama-3.2-11b-lora**
 🚀 **LoRA fine-tuned model based on** `meta-llama/Llama-3.2-11B-Vision-Instruct`
 
@@ -27,6 +24,7 @@ This model retains the core capabilities of Llama-3.2 while incorporating Stable
 - **Fine-Tuned Model**: `lxasqjc/lavender-llama-3.2-11b-lora`
 - **Lavender Paper**: [Diffusion Instruction Tuning (arXiv)](https://arxiv.org/abs/2502.06814)
 - **Lavender Project Space**: [Diffusion Instruction Tuning](https://astrazeneca.github.io/vlm/)
+- **Github repository**: [Diffusion Instruction Tuning](https://github.com/AstraZeneca/vlm)
 - **Parameter Efficient Fine-Tuning (PEFT)**: Uses **LoRA** (Low-Rank Adaptation) to optimize model efficiency.
 - **License**: Llama 3.2 Community License (See [`LICENSE.txt`](https://huggingface.co/meta-llama/Llama-3.2-11B-Vision-Instruct/resolve/main/LICENSE.txt))
 
@@ -115,7 +113,7 @@ print(processor.decode(output[0]))
 - **LoRA Paper**: [Low-Rank Adaptation of Large Language Models](https://arxiv.org/abs/2106.09685)
 - **PEFT Documentation**: [Hugging Face PEFT](https://huggingface.co/docs/peft)
 - **Project Space**: [Diffusion Instruction Tuning](https://astrazeneca.github.io/vlm/)
-- **Paper**: [Diffusion Instruction Tuning (arXiv)](https://arxiv.org/abs/your-paper-link)
+- **Paper**: [Diffusion Instruction Tuning (arXiv)](https://arxiv.org/abs/2502.06814)
 
 ### **Citation**
 If you use this model or work in your research, please cite:
@@ -129,7 +127,4 @@ If you use this model or work in your research, please cite:
           primaryClass={cs.LG},
           url={https://arxiv.org/abs/2502.06814}, 
     }
-```
-
-
-
+```