feat(ai): add content

Author: tgenaitay

ai-data/generative-apis/reference-content/supported-models.mdx

@@ -25,6 +25,7 @@ Our [Chat API](/ai-data/generative-apis/how-to/query-language-models) has built-
 | Meta        | `llama-3.1-70b-instruct`  | 128k  | [Llama 3.1 Community License Agreement](https://llama.meta.com/llama3_1/license/) | [HF](https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct) |
 | Mistral      | `mistral-nemo-instruct-2407`                 | 128k | [Apache-2.0](https://www.apache.org/licenses/LICENSE-2.0) | [HF](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407) |
 | Mistral      | `pixtral-12b-2409`                 | 128k | [Apache-2.0](https://www.apache.org/licenses/LICENSE-2.0) | [HF](https://huggingface.co/mistralai/Pixtral-12B-2409) |
+| Qwen      | `qwen-2.5-coder-32b-instruct`                 | 128k | [Apache-2.0](https://www.apache.org/licenses/LICENSE-2.0) | [HF](https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct) |
 
 
 <Message type="tip">

ai-data/managed-inference/reference-content/qwen-2.5-coder-32b-instruct.mdx

@@ -37,11 +37,13 @@ qwen/qwen2.5-coder-32b-instruct:int8
 
 ## Model introduction
 
-TODO
+Qwen2.5-coder is your intelligent programming assistant familiar more than 40 programming languages.
+With Qwen2.5-coder deployed at Scaleway, your company can benefit from code generation, AI-assisted code repair, and code reasoning. 
 
 ## Why is it useful?
 
-TODO 
+- Qwen2.5-coder achieved the best performance on multiple popular code generation benchmarks (EvalPlus, LiveCodeBench, BigCodeBench), outranking many open-source models and giving competitive performance with GPT-4o.
+- This model is versatile. While demonstrating strong and comprehensive coding abilities, it also possesses good general and mathematical skills.
 
 ## How to use it
 
@@ -55,7 +57,7 @@ curl -s \
 -H "Content-Type: application/json" \
 --request POST \
 --url "https://<Deployment UUID>.ifr.fr-par.scaleway.com/v1/chat/completions" \
---data '{"model":"qwen/qwen2.5-coder-32b-instruct:int8", "messages":[{"role": "system", "content": "You are Qwen, created by Alibaba Cloud. You are a helpful code assistant."},{"role": "user","content": "Write a quick sort algorithm."}], "max_tokens": 1000, "temperature": 0.7, "stream": false}'
+--data '{"model":"qwen/qwen2.5-coder-32b-instruct:int8", "messages":[{"role": "system", "content": "You are Qwen, created by Alibaba Cloud. You are a helpful code assistant."},{"role": "user","content": "Write a quick sort algorithm."}], "max_tokens": 1000, "temperature": 1, "stream": false}'
 ```
 
 Make sure to replace `<IAM API key>` and `<Deployment UUID>` with your actual [IAM API key](/identity-and-access-management/iam/how-to/create-api-keys/) and the Deployment UUID you are targeting.