From cff472ba2b9147015ffd005aace282481d489695 Mon Sep 17 00:00:00 2001
From: Nicolas Patry <patry.nicolas@protonmail.com>
Date: Fri, 24 May 2024 12:40:39 +0200
Subject: [PATCH] Fixing codellama loads by using purely `AutoTokenizer`.
 (#1947)

- The need for the slow tokenizer default stems from back
  when llama 1 was introduced and all the flags where not
  supported in `tokenizers`.

- Fixes #1891


# What does this PR do?

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Fixes # (issue)


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---
 .../models/flash_llama.py                     | 24 ++++++-------------
 1 file changed, 7 insertions(+), 17 deletions(-)

diff --git a/server/text_generation_server/models/flash_llama.py b/server/text_generation_server/models/flash_llama.py
index 796fbd47..9a7dfaee 100644
--- a/server/text_generation_server/models/flash_llama.py
+++ b/server/text_generation_server/models/flash_llama.py
@@ -3,7 +3,6 @@ import torch.distributed
 
 from opentelemetry import trace
 from transformers import AutoConfig, AutoTokenizer, GenerationConfig
-from transformers.models.llama import LlamaTokenizer
 from typing import Optional
 
 from text_generation_server.models import FlashCausalLM
@@ -41,22 +40,13 @@ class FlashLlama(FlashCausalLM):
         else:
             raise NotImplementedError("FlashLlama is only available on GPU")
 
-        try:
-            tokenizer = LlamaTokenizer.from_pretrained(
-                model_id,
-                revision=revision,
-                padding_side="left",
-                truncation_side="left",
-                trust_remote_code=trust_remote_code,
-            )
-        except Exception:
-            tokenizer = AutoTokenizer.from_pretrained(
-                model_id,
-                revision=revision,
-                padding_side="left",
-                truncation_side="left",
-                trust_remote_code=trust_remote_code,
-            )
+        tokenizer = AutoTokenizer.from_pretrained(
+            model_id,
+            revision=revision,
+            padding_side="left",
+            truncation_side="left",
+            trust_remote_code=trust_remote_code,
+        )
         try:
             generation_config = GenerationConfig.from_pretrained(
                 model_id, revision=revision, trust_remote_code=trust_remote_code