Update README.md

README.md

@@ -1,3 +1,37 @@
 ---
 license: apache-2.0
+datasets:
+- In2Training/VaLProbing-32K
+language:
+- en
 ---
+
+# FILM-7B
+
+<p align="center">
+   💻 <a href="https://github.com/microsoft/FILM/" target="_blank">[Github Repo]</a> • 📃 <a href="https://arxiv.org/abs/xxx" target="_blank">[LongAlign Paper]</a> • 🤗 <a href="https://huggingface.co/datasets/In2Training/VaLProbing-32K" target="_blank">[VaL Probing] </a>
+</p>
+
+**FILM-7B** is a 32K-context LLM that overcomes the lost-in-the-middle problem on [VaLProbing-32K](https://huggingface.co/datasets/In2Training/VaLProbing-32K/).
+It is trained from Mistral-7B-Instruct-v0.2 by applying Information-Intensie (In2) Training.
+FILM-7B achieves SOTA-level performance on real-world long-context tasks among ~7B size LLMs and does not compromise the short-context performance.
+
+## Model Usage
+
+The system tempelate for FILM-7B:
+```text
+[INST] Below is a context and an instruction. Based on the information provided in the context, write a response for the instruction.
+
+### Context:
+{YOUR LONG CONTEXT}
+
+### Instruction:
+{YOUR QUESTION & INSTRUCTION} [/INST]
+```
+
+## Probing Results
+
+
+
+
+