Gemma Instruct (2B)
2B instruct Gemma model by Google: lightweight, open, text-to-text LLM for QA, summarization, reasoning, and resource-efficient deployment.
LLM
API Usage
How to use Gemma Instruct (2B)Model CardPrompting Gemma Instruct (2B)Applications & Use CasesAPI Usage
Endpoint
google/gemma-2b-it
RUN INFERENCE
curl -X POST "https://aitradestore.com/api/v1/chat/completions"
-H "Authorization: Bearer $AITRADESTORE_API_KEY"
-H "Content-Type: application/json"
-d '{
"model": "google/gemma-2b-it",
"messages": [{"role": "user", "content": "What are some fun things to do in New York?"}]
}' JSON RESPONSE
RUN INFERENCE
from aitradestore import AiTradeStore client = AiTradeStore()
response = client.chat.completions.create(
model="google/gemma-2b-it",
messages=[{"role": "user", "content": "What are some fun things to do in New York?"}], ) print(response.choices[0].message.content) JSON RESPONSE
RUN INFERENCE
import AiTradeStore from "ai-tradestore"; const aitradestore = new AiTradeStore(); const response = await aitradestore.chat.completions.create({
messages: [{"role": "user", "content": "What are some fun things to do in New York?"}],
model: "google/gemma-2b-it", });
console.log(response.choices[0].message.content) JSON RESPONSE
Model Provider:
Type:
Chat
Variant:
Instruct
Parameters:
2B
Deployment:
✔ Serverless ✔ Dedicated
Quantization
FP16
Context length:
8K
Pricing:
$0.10
