Gemma 2 9B Model Implemented!
We are pleased to announce the implementation of the latest model: google/gemma-2-9b-it
.
![](https://storage.googleapis.com/gweb-uniblog-publish-prod/original_images/Gemma_2_hero_static.png)
About Gemma 2 9B model:
Gemma 2 9B Instruction tuned model is a Cutting-edge text generation LLM for text understanding, transformation, and code generation.
Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. They are text-to-text, decoder-only large language models, available in English, with open weights for both pre-trained variants and instruction-tuned variants. Gemma models are well-suited for a variety of text generation tasks, including question answering, summarization, and reasoning.
With MonsterAPI's Gemma 2 9B IT model API, you can instantly integrate it in your application and apply it for various use-cases as mentioned above.
To get started, you may follow this code:
from openai import OpenAI
client = OpenAI(
base_url = "https://llm.monsterapi.ai/v1/",
api_key = "YOUR_MONSTERAPI_KEY"
)
completion = client.chat.completions.create(
model="google/gemma-2-9b-it",
messages=[{"role":"user","content":"Explain special theory of relativity as if I am 5 year old."}],
temperature=0.2,
top_p=0.7,
max_tokens=1024,
stream=True
)
for chunk in completion:
if chunk.choices[0].delta.content is not None:
print(chunk.choices[0].delta.content, end="")