hf_text-generation-inference/integration-tests/models/test_lora_mistral.py

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import pytest
import requests
@pytest.fixture(scope="module")
def lora_mistral_handle(launcher):
with launcher(
"mistralai/Mistral-7B-v0.1",
lora_adapters=[
"predibase/dbpedia",
"predibase/customer_support",
],
cuda_graphs=[0],
) as handle:
yield handle
@pytest.fixture(scope="module")
async def lora_mistral(lora_mistral_handle):
await lora_mistral_handle.health(300)
return lora_mistral_handle.client
@pytest.mark.asyncio
@pytest.mark.private
async def test_lora_mistral(lora_mistral, response_snapshot):
response = await lora_mistral.generate(
"Test request", max_new_tokens=10, decoder_input_details=True
)
assert response.details.generated_tokens == 10
classification_prompt = """You are given the title and the body of an article below. Please determine the type of the article.\n### Title: Great White Whale\n\n### Body: Great White Whale is the debut album by the Canadian rock band Secret and Whisper. The album was in the works for about a year and was released on February 12 2008. A music video was shot in Pittsburgh for the album's first single XOXOXO. The album reached number 17 on iTunes's top 100 albums in its first week on sale.\n\n### Article Type:"""
@pytest.mark.asyncio
@pytest.mark.private
async def test_lora_mistral_without_adapter(lora_mistral, response_snapshot):
response = requests.post(
f"{lora_mistral.base_url}/generate",
headers=lora_mistral.headers,
json={
"inputs": classification_prompt,
"parameters": {
"max_new_tokens": 40,
"details": True,
},
},
)
assert response.status_code == 200
data = response.json()
assert (
data["generated_text"]
== "\n\n### 1. News\n### 2. Blog\n### 3. Article\n### 4. Review\n### 5. Other\n\n\n\n\n\n\n\n\n"
)
assert data == response_snapshot
@pytest.mark.asyncio
@pytest.mark.private
async def test_lora_mistral_with_dbpedia_adapter(lora_mistral, response_snapshot):
response = requests.post(
f"{lora_mistral.base_url}/generate",
headers=lora_mistral.headers,
json={
"inputs": classification_prompt,
"parameters": {
"max_new_tokens": 40,
"adapter_id": "predibase/dbpedia",
"details": True,
},
},
)
assert response.status_code == 200
data = response.json()
assert data["generated_text"] == " 11"
assert data == response_snapshot
@pytest.mark.asyncio
@pytest.mark.private
async def test_lora_mistral_with_customer_support_adapter(
lora_mistral, response_snapshot
):
print(lora_mistral.base_url)
print(lora_mistral.headers)
response = requests.post(
f"{lora_mistral.base_url}/generate",
headers=lora_mistral.headers,
json={
"inputs": "What are 3 unique words that describe you?",
"parameters": {
"max_new_tokens": 40,
"adapter_id": "predibase/customer_support",
"details": True,
},
},
)
assert response.status_code == 200
data = response.json()
assert (
data["generated_text"]
== "\n\nIm not sure if I can come up with 3 unique words that describe me, but Ill try.\n\n1. Creative\n2. Funny\n3."
)
assert data == response_snapshot
@pytest.mark.asyncio
@pytest.mark.private
async def test_lora_mistral_without_customer_support_adapter(
lora_mistral, response_snapshot
):
response = requests.post(
f"{lora_mistral.base_url}/generate",
headers=lora_mistral.headers,
json={
"inputs": "What are 3 unique words that describe you?",
"parameters": {
"max_new_tokens": 40,
"details": True,
},
},
)
assert response.status_code == 200
data = response.json()
assert (
data["generated_text"]
== "\n\nIm a very passionate person. Im very driven. Im very determined.\n\nWhat is your favorite thing about being a teacher?\n\nI love the fact"
)
assert data == response_snapshot