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rename sharded_llava -> llava to match new convention

833e7f3396602091b869425ff8106a7c7e52a2b0 · 2024-07-27 20:19:55 -0700 · Alex Cheema

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commit 833e7f3396602091b869425ff8106a7c7e52a2b0
Author: Alex Cheema <alexcheema123@gmail.com>
Date:   Sat Jul 27 20:19:55 2024 -0700

    rename sharded_llava -> llava to match new convention
---
 README.md                                               | 4 ++--
 exo/inference/mlx/models/{sharded_llava.py => llava.py} | 0
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 334e9bfc..d4284e19 100644
--- a/README.md
+++ b/README.md
@@ -27,7 +27,7 @@ Forget expensive NVIDIA GPUs, unify your existing devices into one powerful GPU:
 <div align="center">
   <h2>Update: Exo Supports Llama 3.1</h2>
   <p>Now the default models, run 8B, 70B and 405B parameter models on your own devices</p>
-  <p><a href="https://github.com/exo-explore/exo/blob/main/exo/inference/mlx/models/sharded_llama.py">See the code</a></p>
+  <p><a href="https://github.com/exo-explore/exo/blob/main/exo/inference/mlx/models/llama.py">See the code</a></p>
 </div>
 
 ## Get Involved
@@ -40,7 +40,7 @@ We also welcome contributions from the community. We have a list of bounties in
 
 ### Wide Model Support
 
-exo supports LLaMA ([MLX](exo/inference/mlx/models/sharded_llama.py) and [tinygrad](exo/inference/tinygrad/models/llama.py)) and other popular models.
+exo supports LLaMA ([MLX](exo/inference/mlx/models/llama.py) and [tinygrad](exo/inference/tinygrad/models/llama.py)) and other popular models.
 
 ### Dynamic Model Partitioning
 
diff --git a/exo/inference/mlx/models/sharded_llava.py b/exo/inference/mlx/models/llava.py
similarity index 100%
rename from exo/inference/mlx/models/sharded_llava.py
rename to exo/inference/mlx/models/llava.py

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