metadata
license: apache-2.0
datasets:
- In2Training/VaLProbing-32K
language:
- en
FILM-7B
💻 [Github Repo] • 📃 [LongAlign Paper] • 🤗 [VaL Probing]
FILM-7B is a 32K-context LLM that overcomes the lost-in-the-middle problem on 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:
[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
Real-World Long-Context Tasks
Short-Context Tasks
