Added OpenLM

README.md

@@ -24,6 +24,7 @@ These LLMs (Large Language Models) are all licensed for commercial use (e.g., Ap
 | Falcon | 2023/05 | [Falcon-40B](https://huggingface.co/tiiuae/falcon-40b), [Falcon-7B](https://huggingface.co/tiiuae/falcon-7b) | [The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only](https://arxiv.org/abs/2306.01116) | 7, 40 | [2048](https://huggingface.co/tiiuae/falcon-7b/blob/main/config.json) | Apache 2.0 | 
 | MPT-30B | 2023/06 | [MPT-30B](https://huggingface.co/mosaicml/mpt-30b), [MPT-30B-instruct](https://huggingface.co/mosaicml/mpt-30b-instruct) | [MPT-30B: Raising the bar for open-source foundation models](https://www.mosaicml.com/blog/mpt-30b) | 30 | [8192](https://huggingface.co/mosaicml/mpt-30b/blob/main/config.json) | Apache 2.0, CC BY-SA-3.0 | [MPT 30B inference code using CPU](https://github.com/abacaj/mpt-30B-inference) |
 | LLaMA 2  | 2023 | [LLaMA 2 Weights](https://ai.meta.com/resources/models-and-libraries/llama-downloads/) | [Llama 2: Open Foundation and Fine-Tuned Chat Models](https://scontent-ham3-1.xx.fbcdn.net/v/t39.2365-6/10000000_662098952474184_2584067087619170692_n.pdf?_nc_cat=105&ccb=1-7&_nc_sid=3c67a6&_nc_ohc=qhK-ahCbkBMAX94XV2X&_nc_ht=scontent-ham3-1.xx&oh=00_AfDB7dN8momft9nkv8X0gqrZdEnKltVjPOxhKBm0XLRinA&oe=64BE66FF)      | 7 - 70       | [4096](https://scontent-ham3-1.xx.fbcdn.net/v/t39.2365-6/10000000_662098952474184_2584067087619170692_n.pdf?_nc_cat=105&ccb=1-7&_nc_sid=3c67a6&_nc_ohc=qhK-ahCbkBMAX94XV2X&_nc_ht=scontent-ham3-1.xx&oh=00_AfDB7dN8momft9nkv8X0gqrZdEnKltVjPOxhKBm0XLRinA&oe=64BE66FF)  | [Custom](https://github.com/facebookresearch/llama/blob/main/LICENSE) Free if you have under 700M users and you cannot use LLaMA outputs to train other LLMs besides LLaMA and its derivatives   | [HuggingChat](https://huggingface.co/blog/llama2#demo)     |  
+| OpenLM  | 2023/09 | [OpenLM 1B](https://huggingface.co/mlfoundations/open_lm_1B); [OpenLM 7B](https://huggingface.co/mlfoundations/open_lm_7B_1.25T) | [Open LM:  a minimal but performative language modeling (LM) repository](https://github.com/mlfoundations/open_lm#pretrained-models)      | 1, 7       | [2048](https://github.com/mlfoundations/open_lm/blob/main/open_lm/model_configs/open_lm_7b.json)  | MIT   |      |  
 
 ## Open LLMs for code