From f1d6e3a6f068798491cf2ed33dd4a39cb03f5710 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Mateusz=20Kopci=C5=84ski?=
 <mateusz.kopcinski@swmansnion.com>
Date: Fri, 24 Jan 2025 10:12:10 +0100
Subject: [PATCH] fix typo tokenizer -> tokenizerSource

---
 docs/docs/fundamentals/loading-models.md | 2 +-
 docs/docs/llms/running-llms.md           | 6 +++---
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/docs/docs/fundamentals/loading-models.md b/docs/docs/fundamentals/loading-models.md
index e5381880ca..5c56d7912e 100644
--- a/docs/docs/fundamentals/loading-models.md
+++ b/docs/docs/fundamentals/loading-models.md
@@ -40,6 +40,6 @@ import { useLLM } from 'react-native-executorch';
 
 const llama = useLLM({
   modelSource: 'https://.../llama3_2.pte',
-  tokenizer: require('../assets/tokenizer.bin'),
+  tokenizerSource: require('../assets/tokenizer.bin'),
 });
 ```
diff --git a/docs/docs/llms/running-llms.md b/docs/docs/llms/running-llms.md
index 93a3e4e7db..a00bad237b 100644
--- a/docs/docs/llms/running-llms.md
+++ b/docs/docs/llms/running-llms.md
@@ -18,7 +18,7 @@ import { useLLM, LLAMA3_2_1B } from 'react-native-executorch';
 
 const llama = useLLM({
   modelSource: LLAMA3_2_1B,
-  tokenizer: require('../assets/tokenizer.bin'),
+  tokenizerSource: require('../assets/tokenizer.bin'),
   contextWindowLength: 3,
 });
 ```
@@ -37,7 +37,7 @@ Given computational constraints, our architecture is designed to support only on
 
 **`modelSource`** - A string that specifies the location of the model binary. For more information, take a look at [loading models](../fundamentals/loading-models.md) section.
 
-**`tokenizer`** - URL to the binary file which contains the tokenizer
+**`tokenizerSource`** - URL to the binary file which contains the tokenizer
 
 **`contextWindowLength`** - The number of messages from the current conversation that the model will use to generate a response. The higher the number, the more context the model will have. Keep in mind that using larger context windows will result in longer inference time and higher memory usage.
 
@@ -62,7 +62,7 @@ In order to send a message to the model, one can use the following code:
 ```typescript
 const llama = useLLM(
     modelSource: LLAMA3_2_1B,
-    tokenizer: require('../assets/tokenizer.bin'),
+    tokenizerSource: require('../assets/tokenizer.bin'),
 );
 
 ...