gemma-3-1b
Public
Forked from google/gemma-3-1b
Forked from google/gemma-3-1b
Forked from google/gemma-3-1b
Model type
Language model
Capabilities
Minimum system memory
Tags
Model type
Language model
Capabilities
Minimum system memory
Tags
Last updated
Updated on March 5byREADME
Sources
The underlying model files this model uses
Last updated
Updated on March 5byREADME
Sources
The underlying model files this model uses
Quantization aware trained versions of image + text inputs models from Google, built from the same research and tech used to create the Gemini models
# Using LM Studio CLI lms get google/gemma-3-1B-it-QAT
import lmstudio as lms model = lms.llm("google/gemma-3-1B-it-QAT") result = model.respond("What is the meaning of life?") print(result)
import { LMStudioClient } from "@lmstudio/sdk"; const client = new LMStudioClient(); const model = await client.llm.model("google/gemma-3-1B-it-QAT"); const result = await model.respond("What is the meaning of life?"); console.info(result.content);
Based on
Quantization aware trained versions of image + text inputs models from Google, built from the same research and tech used to create the Gemini models
# Using LM Studio CLI lms get google/gemma-3-1B-it-QAT
import lmstudio as lms model = lms.llm("google/gemma-3-1B-it-QAT") result = model.respond("What is the meaning of life?") print(result)
import { LMStudioClient } from "@lmstudio/sdk"; const client = new LMStudioClient(); const model = await client.llm.model("google/gemma-3-1B-it-QAT"); const result = await model.respond("What is the meaning of life?"); console.info(result.content);
Based on
curl http://localhost:1234/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "google/gemma-3-1B-it-QAT",
"messages": [
{ "role": "system", "content": "You are a helpful assistant." },
{ "role": "user", "content": "Explain quantum computing in simple terms." }
],
"temperature": 0.7,
"max_tokens": 1024
}'
curl http://localhost:1234/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "google/gemma-3-1B-it-QAT",
"messages": [
{ "role": "system", "content": "You are a helpful assistant." },
{ "role": "user", "content": "Explain quantum computing in simple terms." }
],
"temperature": 0.7,
"max_tokens": 1024
}'