diff --git a/README.md b/README.md
index 98e9571a44..f7b2b71ca9 100644
--- a/README.md
+++ b/README.md
@@ -99,7 +99,7 @@ Every model is written from scratch to maximize performance and remove layers of
 | Llama 3 & 3.1 | 8B, 70B, 405B | Meta AI | [Meta AI 2024](https://github.com/meta-llama/llama3)                                           |
 | Code Llama | 7B, 13B, 34B, 70B | Meta AI | [Rozière et al. 2023](https://arxiv.org/abs/2308.12950)                                       |
 | Mixtral MoE | 8x7B | Mistral AI | [Mistral AI 2023](https://mistral.ai/news/mixtral-of-experts/)                                         |
-| Mistral | 7B | Mistral AI | [Mistral AI 2023](https://mistral.ai/news/announcing-mistral-7b/)                                            |
+| Mistral | 7B, 123B | Mistral AI | [Mistral AI 2023](https://mistral.ai/news/announcing-mistral-7b/)                                            |
 | CodeGemma | 7B | Google | [Google Team, Google Deepmind](https://ai.google.dev/gemma/docs/codegemma)                                     |
 | Gemma 2 | 2B, 9B, 27B | Google | [Google Team, Google Deepmind](https://storage.googleapis.com/deepmind-media/gemma/gemma-2-report.pdf)  |
 | Phi 3   | 3.8B | Microsoft | [Abdin et al. 2024](https://arxiv.org/abs/2404.14219)                                              |
@@ -129,7 +129,7 @@ Every model is written from scratch to maximize performance and remove layers of
 | Mathstral | 7B | Mistral AI | [Mistral AI 2024](https://mistral.ai/news/mathstral/)                                                                                  |
 | MicroLlama | 300M | Ken Wang | [MicroLlama repo](https://github.com/keeeeenw/MicroLlama)                                                                             |
 | Mixtral MoE | 8x7B | Mistral AI | [Mistral AI 2023](https://mistral.ai/news/mixtral-of-experts/)                                                                     |
-| Mistral | 7B | Mistral AI | [Mistral AI 2023](https://mistral.ai/news/announcing-mistral-7b/)                                                                        |
+| Mistral | 7B, 123B | Mistral AI | [Mistral AI 2023](https://mistral.ai/news/announcing-mistral-7b/)                                                                        |
 | Nous-Hermes | 7B, 13B, 70B | NousResearch | [Org page](https://huggingface.co/NousResearch)                                                                          |
 | OpenLLaMA | 3B, 7B, 13B | OpenLM Research | [Geng & Liu 2023](https://github.com/openlm-research/open_llama)                                                         |
 | Phi 1.5 & 2 | 1.3B, 2.7B | Microsoft Research  | [Li et al. 2023](https://arxiv.org/abs/2309.05463)                                                                  |
diff --git a/litgpt/config.py b/litgpt/config.py
index ebc74b4c3b..940238c607 100644
--- a/litgpt/config.py
+++ b/litgpt/config.py
@@ -1756,6 +1756,26 @@ def norm_class(self) -> Type:
         intermediate_size=14336,
     )
 )
+configs.append(
+    # https://huggingface.co/mistralai/Mistral-Large-Instruct-2407/blob/main/config.json
+    dict(
+        name="Mistral-Large-Instruct-2407",
+        hf_config=dict(org="mistralai", name="Mistral-Large-Instruct-2407"),
+        padded_vocab_size=32768,
+        block_size=32768,
+        n_layer=88,
+        n_head=96,
+        n_embd=12288,
+        n_query_groups=8,
+        rotary_percentage=1.0,
+        parallel_residual=False,
+        bias=False,
+        norm_class_name="RMSNorm",
+        norm_eps=1e-05,
+        mlp_class_name="LLaMAMLP",
+        intermediate_size=28672,
+    )
+)
 
 
 ############
diff --git a/tutorials/download_model_weights.md b/tutorials/download_model_weights.md
index 6d82df8889..a3cf633734 100644
--- a/tutorials/download_model_weights.md
+++ b/tutorials/download_model_weights.md
@@ -23,7 +23,7 @@ LitGPT supports a variety of LLM architectures with publicly available weights.
 | Mathstral | 7B | Mistral AI | [Mistral AI 2024](https://mistral.ai/news/mathstral/)                                                                        |
 | MicroLlama | 300M | Ken Wang | [MicroLlama repo](https://github.com/keeeeenw/MicroLlama)
 | Mixtral MoE | 8x7B | Mistral AI | [Mistral AI 2023](https://mistral.ai/news/mixtral-of-experts/)                                                                     |
-| Mistral | 7B | Mistral AI | [Mistral AI 2023](https://mistral.ai/news/announcing-mistral-7b/)                                                                        |
+| Mistral | 7B, 123B | Mistral AI | [Mistral AI 2023](https://mistral.ai/news/announcing-mistral-7b/)                                                                        |
 | Nous-Hermes | 7B, 13B, 70B | NousResearch | [Org page](https://huggingface.co/NousResearch)                                                                          |
 | OpenLLaMA | 3B, 7B, 13B | OpenLM Research | [Geng & Liu 2023](https://github.com/openlm-research/open_llama)                                                         |
 | Phi 1.5 & 2 | 1.3B, 2.7B | Microsoft Research  | [Li et al. 2023](https://arxiv.org/abs/2309.05463)                                                                          |
@@ -136,7 +136,10 @@ microsoft/Phi-3-mini-4k-instruct
 mistralai/mathstral-7B-v0.1
 mistralai/Mistral-7B-Instruct-v0.1
 mistralai/Mistral-7B-Instruct-v0.2
+mistralai/Mistral-7B-Instruct-v0.3
 mistralai/Mistral-7B-v0.1
+mistralai/Mistral-7B-v0.3
+mistralai/Mistral-Large-Instruct-2407
 mistralai/Mixtral-8x7B-Instruct-v0.1
 mistralai/Mixtral-8x7B-v0.1
 NousResearch/Nous-Hermes-13b