feat(ai): models updates

ai-data/generative-apis/how-to/query-code-models.mdx

@@ -48,8 +48,7 @@ Here is an example configuration with Scaleway's OpenAI-compatible provider:
     {
       "model": "qwen2.5-coder-32b-instruct",
       "title": "Qwen2.5-coder",
-      "apiBase": "https://api.scaleway.ai/v1/",
-      "provider": "openai",
+      "provider": "scaleway",
       "apiKey": "###SCW SECRET KEY###"
     }
 ]

ai-data/generative-apis/how-to/use-function-calling.mdx

@@ -25,10 +25,7 @@ Function calling allows a large language model (LLM) to interact with external t
 
 ## Supported models
 
-* llama-3.1-8b-instruct
-* llama-3.1-70b-instruct
-* mistral-nemo-instruct-2407
-* pixtral-12b-2409
+All the [chat models](/ai-data/generative-apis/reference-content/supported-models/#chat-models) hosted by Scaleway support function calling.
 
 ## Understanding function calling
 

ai-data/managed-inference/reference-content/function-calling-support.mdx

@@ -7,7 +7,7 @@ content:
   paragraph: Function calling allows models to connect to external tools.
 tags:
 dates:
-  validation: 2024-11-18
+  validation: 2024-12-12
   posted: 2024-10-25
 categories:
   - ai-data
@@ -27,6 +27,7 @@ The following models in Scaleway's Managed Inference library can call tools as p
 
 * meta/llama-3.1-8b-instruct
 * meta/llama-3.1-70b-instruct
+* meta/llama-3.3-70b-instruct
 * mistral/mistral-7b-instruct-v0.3
 * mistral/mistral-nemo-instruct-2407
 * mistral/pixtral-12b-2409

ai-data/managed-inference/reference-content/llama-3.3-70b-instruct.mdx

@@ -0,0 +1,79 @@
+---
+meta:
+  title: Understanding the Llama-3.3-70b-instruct model
+  description: Deploy your own secure Llama-3.3-70b-instruct model with Scaleway Managed Inference. Privacy-focused, fully managed.
+content:
+  h1: Understanding the Llama-3.3-70b-instruct model
+  paragraph: This page provides information on the Llama-3.3-70b-instruct model
+tags:
+dates:
+  validation: 2024-12-12
+  posted: 2024-12-12
+categories:
+  - ai-data
+---
+
+## Model overview
+
+| Attribute       | Details                            |
+|-----------------|------------------------------------|
+| Provider        | [Meta](https://www.llama.com/)  |
+| License        | [Llama 3.3 community](https://www.llama.com/llama3_3/license/)  |
+| Compatible Instances | H100-2 (BF16) |
+| Context length | Up to 70k tokens    |
+
+## Model names
+
+```bash
+meta/llama-3.3-70b-instruct:bf16
+```
+
+## Compatible Instances
+
+| Instance type  | Max context length |
+| ------------- |-------------|
+| H100-2      | 62k (BF16) |
+
+## Model introduction
+
+Released December 6, 2024, Meta’s Llama 3.3 70b is a fine-tune of the [Llama 3.1 70b](/ai-data/managed-inference/reference-content/llama-3.1-70b) model.
+This model is still text-only (text in/text out). However, Llama 3.3 was designed to approach the performance of Llama 3.1 405B on some applications.
+
+## Why is it useful?
+
+- Llama 3.3 uses the same prompt format as Llama 3.1. Prompts written for Llama 3.1 work unchanged with Llama 3.3. 
+- Llama 3.3 supports 7 languages in addition to English: French, German, Hindi, Italian, Portuguese, Spanish, and Thai.
+
+## How to use it
+
+### Sending Managed Inference requests
+
+To perform inference tasks with your Llama-3.3 deployed at Scaleway, use the following command:
+
+```bash
+curl -s \
+-H "Authorization: Bearer <IAM API key>" \
+-H "Content-Type: application/json" \
+--request POST \
+--url "https://<Deployment UUID>.ifr.fr-par.scaleway.com/v1/chat/completions" \
+--data '{"model":"meta/llama-3.3-70b-instruct:bf16", "messages":[{"role": "user","content": "There is a llama in my garden, what should I do?"}], "max_tokens": 500, "temperature": 0.7, "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.
+
+<Message type="tip">
+  The model name allows Scaleway to put your prompts in the expected format.
+</Message>
+
+<Message type="note">
+  Ensure that the `messages` array is properly formatted with roles (system, user, assistant) and content.
+</Message>
+
+### Receiving Inference responses
+
+Upon sending the HTTP request to the public or private endpoints exposed by the server, you will receive inference responses from the managed Managed Inference server. 
+Process the output data according to your application's needs. The response will contain the output generated by the LLM model based on the input provided in the request.
+
+<Message type="note">
+  Despite efforts for accuracy, the possibility of generated text containing inaccuracies or [hallucinations](/ai-data/managed-inference/concepts/#hallucinations) exists. Always verify the content generated independently.
+</Message>

menu/navigation.json

@@ -665,6 +665,10 @@
                     "label": "Support for function calling in Scaleway Managed Inference",
                     "slug": "function-calling-support"
                   },
+                  {
+                    "label": "BGE-Multilingual-Gemma2 model",
+                    "slug": "bge-multilingual-gemma2"
+                  },
                   {
                     "label": "Llama-3-8b-instruct model",
                     "slug": "llama-3-8b-instruct"
@@ -686,13 +690,17 @@
                     "slug": "llama-3.1-nemotron-70b-instruct"
                   },
                   {
-                    "label": "Mistral-nemo-instruct-2407 model",
-                    "slug": "mistral-nemo-instruct-2407"
+                    "label": "Llama-3.3-70b-instruct model",
+                    "slug": "llama-3.3-70b-instruct"
                   },
                   {
                     "label": "Mistral-7b-instruct-v0.3 model",
                     "slug": "mistral-7b-instruct-v0.3"
                   },
+                  {
+                    "label": "Mistral-nemo-instruct-2407 model",
+                    "slug": "mistral-nemo-instruct-2407"
+                  },
                   {
                     "label": "Mixtral-8x7b-instruct-v0.1 model",
                     "slug": "mixtral-8x7b-instruct-v0.1"
@@ -701,18 +709,6 @@
                     "label": "Molmo-72b-0924 model",
                     "slug": "molmo-72b-0924"
                   },
-                  {
-                    "label": "Sentence-t5-xxl model",
-                    "slug": "sentence-t5-xxl"
-                  },
-                  {
-                    "label": "BGE-Multilingual-Gemma2 model",
-                    "slug": "bge-multilingual-gemma2"
-                  },
-                  {
-                    "label": "Pixtral-12b-2409 model",
-                    "slug": "pixtral-12b-2409"
-                  },
                   {
                     "label": "Moshika-0.1-8b model",
                     "slug": "moshika-0.1-8b"
@@ -721,9 +717,17 @@
                     "label": "Moshiko-0.1-8b model",
                     "slug": "moshiko-0.1-8b"
                   },
+                  {
+                    "label": "Pixtral-12b-2409 model",
+                    "slug": "pixtral-12b-2409"
+                  },
                   {
                     "label": "Qwen2.5-coder-32b-instruct model",
                     "slug": "qwen2.5-coder-32b-instruct"
+                  },
+                  {
+                    "label": "Sentence-t5-xxl model",
+                    "slug": "sentence-t5-xxl"
                   }
                 ],
                 "label": "Additional Content",