From e605c2a43e693844cb2c5ba879f41392faf64793 Mon Sep 17 00:00:00 2001
From: Nicolas Patry <patry.nicolas@protonmail.com>
Date: Thu, 24 Aug 2023 18:54:47 +0200
Subject: [PATCH] Supporting code llama. (#918)

# What does this PR do?

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Fixes # (issue)


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---
 .../models/custom_modeling/flash_llama_modeling.py            | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/server/text_generation_server/models/custom_modeling/flash_llama_modeling.py b/server/text_generation_server/models/custom_modeling/flash_llama_modeling.py
index d0185ede..f0e1236d 100644
--- a/server/text_generation_server/models/custom_modeling/flash_llama_modeling.py
+++ b/server/text_generation_server/models/custom_modeling/flash_llama_modeling.py
@@ -64,6 +64,7 @@ class LlamaConfig(PretrainedConfig):
         pretraining_tp=1,
         tie_word_embeddings=False,
         rope_scaling=None,
+        rope_theta=10000.0,
         **kwargs,
     ):
         self.vocab_size = vocab_size
@@ -84,6 +85,7 @@ class LlamaConfig(PretrainedConfig):
         self.pretraining_tp = pretraining_tp
         self.use_cache = use_cache
         self.rope_scaling = rope_scaling
+        self.rope_theta = rope_theta
 
         super().__init__(
             pad_token_id=pad_token_id,
@@ -189,7 +191,7 @@ class FlashLlamaAttention(torch.nn.Module):
         #     config=config, prefix=f"{prefix}.rotary_emb", weights=weights
         # )
         self.rotary_emb = PositionRotaryEmbedding.static(
-            config=config, dim=self.head_size, base=10000.0, device=weights.device
+            config=config, dim=self.head_size, base=config.rope_theta, device=weights.device
         )
 
         self.softmax_scale = self.head_size**-0.5