Add cookbook to run Outlines on Modal

docs/cookbook/deploy-using-modal.md

@@ -0,0 +1,126 @@
+# Run Outlines using Modal
+
+[Modal](https://modal.com/) is a serverless platform that allows you to easily run code on the cloud, including GPUs. It can come very handy for those of us who don't have a monster GPU at home and don't have experience or time to set up the necessary cloud infrastructure.
+
+In this guide we will show you how you can use Modal to run programs written with Outlines on GPU in the cloud.
+
+## Build the image
+
+First we need to define our container image. We download the Mistral-7B-v0.1 model from HuggingFace as part of the definition of the image so it only needs to be done once.
+
+```python
+from modal import Image, Stub, gpu
+
+stub = Stub(name="outlines-app")
+
+outlines_image = Image.debian_slim(python_version="3.11").pip_install(
+    "outlines==0.0.37",
+    "transformers==4.38.2",
+    "datasets==2.18.0",
+    "accelerate==0.27.2",
+)
+
+def import_model():
+    import outlines
+    outlines.models.transformers("mistralai/Mistral-7B-Instruct-v0.2")
+
+outlines_image = outlines_image.run_function(import_model)
+```
+
+We will run the JSON-structured generation example [in the README](https://github.com/outlines-dev/outlines?tab=readme-ov-file#efficient-json-generation-following-a-json-schema), with the following schema:
+
+## Run inference
+
+```python
+schema = """{
+    "title": "Character",
+    "type": "object",
+    "properties": {
+        "name": {
+            "title": "Name",
+            "maxLength": 10,
+            "type": "string"
+        },
+        "age": {
+            "title": "Age",
+            "type": "integer"
+        },
+        "armor": {"$ref": "#/definitions/Armor"},
+        "weapon": {"$ref": "#/definitions/Weapon"},
+        "strength": {
+            "title": "Strength",
+            "type": "integer"
+        }
+    },
+    "required": ["name", "age", "armor", "weapon", "strength"],
+    "definitions": {
+        "Armor": {
+            "title": "Armor",
+            "description": "An enumeration.",
+            "enum": ["leather", "chainmail", "plate"],
+            "type": "string"
+        },
+        "Weapon": {
+            "title": "Weapon",
+            "description": "An enumeration.",
+            "enum": ["sword", "axe", "mace", "spear", "bow", "crossbow"],
+            "type": "string"
+        }
+    }
+}"""
+```
+
+To make the inference work on Modal we need to wrap the corresponding function in a `@stub.function` decorator. We pass to this decorator the image and GPU on which we want this function to run (here an A100 with 80Gb memory):
+
+```python
+@stub.function(image=outlines_image, gpu=gpu.A100(memory=80))
+def generate(
+    prompt: str = "Amiri, a 53 year old warrior woman with a sword and leather armor.",
+):
+    import outlines
+
+    model = outlines.models.transformers(
+        "mistralai/Mistral-7B-v0.1", device="cuda"
+    )
+
+    generator = outlines.generate.json(model, schema)
+    character = generator(
+        f"<s>[INST]Give me a character description. Describe {prompt}.[/INST]"
+    )
+
+    print(character)
+```
+
+We then need to define a `main` function and define it as the function to start from when deploying it, using the `@stub.local_entrypoint` decorator:
+
+```python
+@stub.local_entrypoint()
+def main(
+    prompt: str = "Amiri, a 53 year old warrior woman with a sword and leather armor.",
+):
+    generate.remote(prompt)
+```
+
+Save this code to `example.py`. Now we're going to see how we run the code on the cloud using the Modal CLI.
+
+## Run on the cloud
+
+First install the Modal client from PyPi:
+
+```bash
+pip install modal
+```
+
+You then need to obtain a token from Modal. To do so easily, run the following command:
+
+```bash
+modal token set
+```
+
+Once that is set you can run inference on the cloud using:
+
+```bash
+modal run example.py
+```
+
+That's it!

examples/modal_example.py

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+import modal
+
+stub = modal.Stub(name="outlines-app")
+
+
+outlines_image = modal.Image.debian_slim(python_version="3.11").pip_install(
+    "outlines==0.0.37",
+    "transformers==4.38.2",
+    "datasets==2.18.0",
+    "accelerate==0.27.2",
+)
+
+
+def import_model():
+    import outlines
+
+    outlines.models.transformers("mistralai/Mistral-7B-Instruct-v0.2")
+
+
+outlines_image = outlines_image.run_function(import_model)
+
+
+schema = """{
+    "title": "Character",
+    "type": "object",
+    "properties": {
+        "name": {
+            "title": "Name",
+            "maxLength": 10,
+            "type": "string"
+        },
+        "age": {
+            "title": "Age",
+            "type": "integer"
+        },
+        "armor": {"$ref": "#/definitions/Armor"},
+        "weapon": {"$ref": "#/definitions/Weapon"},
+        "strength": {
+            "title": "Strength",
+            "type": "integer"
+        }
+    },
+    "required": ["name", "age", "armor", "weapon", "strength"],
+    "definitions": {
+        "Armor": {
+            "title": "Armor",
+            "description": "An enumeration.",
+            "enum": ["leather", "chainmail", "plate"],
+            "type": "string"
+        },
+        "Weapon": {
+            "title": "Weapon",
+            "description": "An enumeration.",
+            "enum": ["sword", "axe", "mace", "spear", "bow", "crossbow"],
+            "type": "string"
+        }
+    }
+}"""
+
+
+@stub.function(image=outlines_image, gpu=modal.gpu.A100(memory=80))
+def generate(
+    prompt: str = "Amiri, a 53 year old warrior woman with a sword and leather armor.",
+):
+    import outlines
+
+    model = outlines.models.transformers("mistralai/Mistral-7B-v0.1", device="cuda")
+
+    generator = outlines.generate.json(model, schema)
+    character = generator(
+        f"<s>[INST]Give me a character description. Describe {prompt}.[/INST]"
+    )
+
+    print(character)
+
+
+@stub.local_entrypoint()
+def main(
+    prompt: str = "Amiri, a 53 year old warrior woman with a sword and leather armor.",
+):
+    generate.remote(prompt)

mkdocs.yml

@@ -99,6 +99,8 @@ nav:
       - Generate synthetic data: cookbook/dating_profiles.md
       - Summarize a document: cookbook/chain_of_density.md
       - Playing chess: cookbook/models_playing_chess.md
+      - Run on the cloud:
+          - Modal: cookbook/deploy-using-modal.md
   - Docs:
     - reference/index.md
     - Generation: