Gemma2 9B Instruct

Google

Gemma2 9B Instruct

google/gemma-2-9b-it

Gemma2 is a versatile tool used in both machine learning and genetic research. It is part of the PaliGemma family, which includes powerful Vision-Language Models (VLMs) built on open components like the SigLIP vision model and the Gemma language model. In genetics, Gemma2 implements the Genome-wide Efficient Mixed-Model Association (GEMMA) for genome-wide association studies (GWAS) . It is also recognized in the open-source community for its efficiency in handling large models and datasets. Additionally, it provides an implementation of the GEMMA algorithm for statistical analysis of multivariate linear mixed models [4].

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Open Source

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8,192

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Python JavaScript Curl

Using Gemma2 9B Instruct with Python API

Using Gemma2 9B Instruct with OpenAI compatible API

import openai

client = openai.Client(
  api_key= '{your_api_key}',
  base_url="https://api.model.box/v1",
)
response = client.chat.completions.create(
model="google/gemma-2-9b-it",
messages: [
  {
    role: 'user',
    content:
      'introduce your self',
    },
  ]
)
print(response)