mistral support & meditron readme update

README.md

@@ -9,8 +9,8 @@ This library enables pre-training and fine-tuning of large language models (LLMs
 Our repository is a modification of the [original Megatron-LM codebase](https://github.com/NVIDIA/Megatron-LM) by Nvidia.
 
 Added key features include:
-- [Llama](https://arxiv.org/abs/2302.13971), [Llama 2](https://arxiv.org/abs/2307.09288), [Code Llama](https://arxiv.org/abs/2308.12950) and [Falcon](https://huggingface.co/tiiuae) support
-- support training of large models (70B Llama 2, 65B Llama 1, 34B Code Llama, and 40B Falcon) on commodity hardware on multiple nodes
+- architectures supported: [Llama](https://arxiv.org/abs/2302.13971), [Llama 2](https://arxiv.org/abs/2307.09288), [Code Llama](https://arxiv.org/abs/2308.12950), [Falcon](https://huggingface.co/tiiuae) and [Mistral](https://arxiv.org/abs/2310.06825)
+- support training of large models (70B Llama 2, 65B Llama 1, 34B Code Llama, 40B Falcon and Mistral) on commodity hardware on multiple nodes
 - 3-way parallelism: tensor parallel, pipeline parallel and data parallel training (inherited from Megatron)
 - full pretraining, finetuning and instruct tuning support
 - Support for special tokens & tokenizers
@@ -35,9 +35,10 @@ make html
 ```
 
 # Example models trained with *Megatron-LLM*
-70B Llama 2 [1](https://huggingface.co/OpenAssistant/llama2-70b-oasst-sft-v10), 
-40B Falcon [1](https://huggingface.co/OpenAssistant/falcon-40b-megacode2-oasst), 
-13B Code Llama [1](https://huggingface.co/OpenAssistant/codellama-13b-oasst-sft-v10), ... 
+70B Llama2: [meditron 70b](https://huggingface.co/epfl-llm/meditron-70b), [llama2-70b-oasst-sft-v10](https://huggingface.co/OpenAssistant/llama2-70b-oasst-sft-v10), 
+40B Falcon: [falcon-40b-megacode2-oasst](https://huggingface.co/OpenAssistant/falcon-40b-megacode2-oasst), 
+13B Code Llama: [codellama-13b-oasst-sft-v10](https://huggingface.co/OpenAssistant/codellama-13b-oasst-sft-v10), 
+7B Llama2: [meditron 7b](https://huggingface.co/epfl-llm/meditron-7b), ...
 (Let us know about yours!)
 
 # Citation
@@ -50,6 +51,7 @@ If you use this software please cite it:
                   Andreas Köpf  and
                   Kyle Matoba  and
                   Amirkeivan Mohtashami  and
+                  Xingyao Wang  and
                   Olivia Simin Fan  and
                   Axel Marmet  and
                   Deniz Bayazit  and