Update README.md
Browse files
README.md
CHANGED
|
@@ -12,7 +12,7 @@ language:
|
|
| 12 |
π» <a href="https://github.com/microsoft/FILM/" target="_blank">[Github Repo]</a> β’ π <a href="https://arxiv.org/abs/xxx" target="_blank">[Paper]</a> β’ π€ <a href="https://huggingface.co/datasets/In2Training/VaLProbing-32K" target="_blank">[VaLProbing-32K] </a>
|
| 13 |
</p>
|
| 14 |
|
| 15 |
-
**FILM-7B
|
| 16 |
It is trained from Mistral-7B-Instruct-v0.2 by applying Information-Intensie (In2) Training.
|
| 17 |
FILM-7B achieves near-perfect performance on probing tasks, SOTA-level performance on real-world long-context tasks among ~7B size LLMs, and does not compromise the short-context performance.
|
| 18 |
|
|
|
|
| 12 |
π» <a href="https://github.com/microsoft/FILM/" target="_blank">[Github Repo]</a> β’ π <a href="https://arxiv.org/abs/xxx" target="_blank">[Paper]</a> β’ π€ <a href="https://huggingface.co/datasets/In2Training/VaLProbing-32K" target="_blank">[VaLProbing-32K] </a>
|
| 13 |
</p>
|
| 14 |
|
| 15 |
+
**FILM-7B is a 32K-context LLM that overcomes the lost-in-the-middle problem.**
|
| 16 |
It is trained from Mistral-7B-Instruct-v0.2 by applying Information-Intensie (In2) Training.
|
| 17 |
FILM-7B achieves near-perfect performance on probing tasks, SOTA-level performance on real-world long-context tasks among ~7B size LLMs, and does not compromise the short-context performance.
|
| 18 |
|