diff --git a/fern/docs/pages/models/details.mdx b/fern/docs/pages/models/details.mdx
index 115b366..d12c8d7 100644
--- a/fern/docs/pages/models/details.mdx
+++ b/fern/docs/pages/models/details.mdx
@@ -20,12 +20,12 @@ Open access models are amazing these days! Each of these models was trained by a
 
 | Model Name                   | Type            | Use Case                                                | Prompt Format                      | Context Length | More Info                                                               |
 | ---------------------------- | --------------- | ------------------------------------------------------- | ---------------------------------- | -------------- | ----------------------------------------------------------------------- |
+| Meta-Llama-3-8B-Instruct     | Chat            | Instruction following or chat-like applications         | [Llama3](prompts#llama3)           | 4096           | [link](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)      |
 | Nous-Hermes-Llama2-13B       | Text Generation | Generating output in response to arbitrary instructions | [Alpaca](prompts#alpaca)           | 4096           | [link](https://huggingface.co/NousResearch/Nous-Hermes-Llama2-13b)      |
 | Hermes-2-Pro-Mistral-7B      | Chat            | Instruction following or chat-like applications         | [ChatML](prompts#chatml)           | 4096           | [link](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B)     |
 | Neural-Chat-7B               | Chat            | Instruction following or chat-like applications         | [Neural Chat](prompts#neural-chat) | 4096           | [link](https://huggingface.co/Intel/neural-chat-7b-v3-1)                |
 | Yi-34B-Chat                  | Chat            | Instruction following in English or Chinese             | [ChatML](prompts#chatml)           | 2048           | [link](https://huggingface.co/01-ai/Yi-34B-Chat)                        |
 | deepseek-coder-6.7b-instruct | Code Generation | Generating computer code or answering tech questions    | [Deepseek](prompts#deepseek)       | 4096           | [link](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instruct) |
-| sqlcoder-7b-2                | Code Generation | Generating SQL queries from natural language prompts    | [SQLCoder](prompts#sqlcoder)       | 4096           | [link](https://huggingface.co/defog/sqlcoder-7b-2)                      |
 
 ### Other models available
 
diff --git a/fern/docs/pages/models/prompts.mdx b/fern/docs/pages/models/prompts.mdx
index d5565fb..12e7e0e 100644
--- a/fern/docs/pages/models/prompts.mdx
+++ b/fern/docs/pages/models/prompts.mdx
@@ -71,23 +71,6 @@ For prompts where context is injected:
 <|im_start|>assistant<|im_end|>
 ```
 
-## SQLCoder
-
-(Replace the portions of the prompt below in curly braces `{...}` with the appropriate information, and do not keep the curly braces)
-
-```
-### Task
-Generate a SQL query to answer [QUESTION]{user_question}[/QUESTION]
-
-### Database Schema
-The query will run on a database with the following schema:
-{table_metadata_string_DDL_statements}
-
-### Answer
-Given the database schema, here is the SQL query that [QUESTION]{user_question}[/QUESTION]
-[SQL]
-```
-
 ## Deepseek
 
 (Replace the portions of the prompt below in curly braces `{...}` with the appropriate information, and do not keep the curly braces)
@@ -98,3 +81,13 @@ Given the database schema, here is the SQL query that [QUESTION]{user_question}[
 {context or user message}
 ### Response:
 ```
+
+## Llama3
+
+(Replace the portions of the prompt below in curly braces `{...}` with the appropriate information, and do not keep the curly braces)
+
+```
+<|begin_of_text|><|start_header_id|>system<|end_header_id|>
+{system prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
+{context or user message}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+```
\ No newline at end of file