From e12c34bd25c8297c1df33493cbcedef8ffa1306f Mon Sep 17 00:00:00 2001
From: Traun Leyden <traun.leyden@gmail.com>
Date: Thu, 23 Nov 2023 12:56:17 +0100
Subject: [PATCH] Load PEFT weights from local directory (#1260)

# What does this PR do?

Enables PEFT weights to be loaded from a local directory, as opposed to
a hf hub repository. It is a continuation of the work in PR
https://github.com/huggingface/text-generation-inference/pull/762

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Fixes #1259


## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the
other checks if that's the case).
- [x] Did you read the [contributor
guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests),
Pull Request section? **Yes but I don't know how to run the tests for
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- [x] Was this discussed/approved via a Github issue or the
[forum](https://discuss.huggingface.co/)? Please add a link
to it if that's the case. **Yes, @Narsil asked for a PR in [this
comment](https://github.com/huggingface/text-generation-inference/pull/762#issuecomment-1728089505)**
- [x] Did you make sure to update the documentation with your changes?
Here are the
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and am not sure where this belongs. Let me know and I can add some**
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## Who can review?

Anyone in the community is free to review the PR once the tests have
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@Narsil

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---------

Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
---
 server/text_generation_server/cli.py | 11 +++++++++++
 1 file changed, 11 insertions(+)

diff --git a/server/text_generation_server/cli.py b/server/text_generation_server/cli.py
index 301acb6b..b741a84c 100644
--- a/server/text_generation_server/cli.py
+++ b/server/text_generation_server/cli.py
@@ -150,6 +150,17 @@ def download_weights(
             if not extension == ".safetensors" or not auto_convert:
                 raise e
 
+    else:
+        # Try to load as a local PEFT model
+        try:
+            utils.download_and_unload_peft(
+                model_id, revision, trust_remote_code=trust_remote_code
+            )
+            utils.weight_files(model_id, revision, extension)
+            return
+        except (utils.LocalEntryNotFoundError, utils.EntryNotFoundError):
+            pass
+
     # Try to see if there are local pytorch weights
     try:
         # Get weights for a local model, a hub cached model and inside the WEIGHTS_CACHE_OVERRIDE