From 92bb56b0c1038a35f73a6c96c506f6d1c3d7b043 Mon Sep 17 00:00:00 2001
From: Nicolas Patry <patry.nicolas@protonmail.com>
Date: Mon, 31 Jul 2023 10:32:52 +0200
Subject: [PATCH] Local gptq support. (#738)

# What does this PR do?

Redoes #719

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Fixes # (issue)


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---
 .github/workflows/tests.yaml                   | 2 +-
 Dockerfile                                     | 2 +-
 server/text_generation_server/utils/weights.py | 7 ++++++-
 3 files changed, 8 insertions(+), 3 deletions(-)

diff --git a/.github/workflows/tests.yaml b/.github/workflows/tests.yaml
index 7e5ba52c..311ee6b9 100644
--- a/.github/workflows/tests.yaml
+++ b/.github/workflows/tests.yaml
@@ -33,7 +33,7 @@ jobs:
       - name: Install Rust
         uses: actions-rs/toolchain@v1
         with:
-          toolchain: 1.65.0
+          toolchain: 1.71.0
           override: true
           components: rustfmt, clippy
       - name: Install Protoc
diff --git a/Dockerfile b/Dockerfile
index 34109d02..679fb48a 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,5 +1,5 @@
 # Rust builder
-FROM lukemathwalker/cargo-chef:latest-rust-1.70 AS chef
+FROM lukemathwalker/cargo-chef:latest-rust-1.71 AS chef
 WORKDIR /usr/src
 
 ARG CARGO_REGISTRIES_CRATES_IO_PROTOCOL=sparse
diff --git a/server/text_generation_server/utils/weights.py b/server/text_generation_server/utils/weights.py
index 0330402d..dcab6296 100644
--- a/server/text_generation_server/utils/weights.py
+++ b/server/text_generation_server/utils/weights.py
@@ -1,3 +1,4 @@
+import os
 from pathlib import Path
 from typing import List, Dict, Optional, Tuple
 from safetensors import safe_open, SafetensorError
@@ -221,8 +222,12 @@ class Weights:
         return bits, groupsize
 
     def _set_gptq_params(self, model_id):
+        filename = "quantize_config.json"
         try:
-            filename = hf_hub_download(model_id, filename="quantize_config.json")
+            if not os.path.exists(os.path.join(model_id, filename)):
+                filename = os.path.join(model_id, filename)
+            else:
+                filename = hf_hub_download(model_id, filename=filename)
             with open(filename, "r") as f:
                 data = json.load(f)
             self.gptq_bits = data["bits"]