Downloads · 30 days
21
1% of all-time downloads
EasyContext-1M-Llama-2-7B
PY007/EasyContext-1M-Llama-2-7B
EasyContext-1M-Llama-2-7B is a text generation model from PY007. Use it when you need the model to write or continue text. It is set up for transformers.
<p align="center" <img src="Logo.webp" width="500" </p
All-time downloads
3.7K
Public
Parameters
6.7B
13.5 GB on disk
Likes
4
Public
Repo makeup
Click a slice to open those files.
.safetensors13.5 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- llama
- Access
- Public
- Created
- Apr 3, 2024
- Updated
- Apr 7, 2024
- SHA
- 7a5e1664
Try a prompt
Model card
From the Hugging Face model README
EasyContext
<p align="center"> <img src="Logo.webp" width="500"> </p> <p align="center"> <a href="https://github.com/jzhang38/EasyContext" target="_blank">GitHub Repo</a> </p>Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.
This is a context-extrapolated base model. It has not been instruct-finetuned.
This model is finetuned from Llama-2-7B-hf with EasyContext on context length 512K and generalized to 1M tokens. Note that I keep max_position_embeddings in config.json to 4096 because HF llama will create 2D causal mask during initialization. If it is set to 1M GPU will just OOM. You can surely use this model with context length longer than 4096.
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- Created
- Apr 3, 2024
- Updated
- Apr 7, 2024