InferX Catalog | gemma-3-27b-it

gemma-3-27b-it

instruction-tuned model designed for strong reasoning, coding, and chat performance

google text text2text reasoning coding chat

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google/gemma-3-27b-it is a 27B instruction-tuned model from Google's Gemma 3 family, offering strong reasoning, coding, and conversational capabilities with efficient performance, making it well-suited for agents, assistants, and production deployments.

Metadata

Provider

google

Modality

text

API type

text2text

Source

huggingface / google/gemma-3-27b-it

Created

2026-04-03 22:20:50 UTC

Updated

2026-04-13 03:40:04 UTC

Catalog version

2

Visibility

Published

Specifications

Parameters

27.00B

MoE

No

Max model length

2000

Image

vllm/vllm-openai:v0.16.0

Default Deploy Config

GPU count

1

vRAM

70000 MB

Summary

1xGPU 70000 MB

Recommended Use Cases

—

Model Spec

{
    "image": "vllm/vllm-openai:v0.16.0",
    "commands": [
        "--model",
        "google/gemma-3-27b-it",
        "--disable-custom-all-reduce",
        "--trust-remote-code",
        "--gpu-memory-utilization",
        " 0.99",
        "--max-model-len",
        "2000",
        "--tensor-parallel-size=1"
    ],
    "resources": {
        "GPU": {
            "Count": 1,
            "vRam": 70000
        }
    },
    "envs": [],
    "policy": {
        "Obj": {
            "min_replica": 0,
            "max_replica": 1,
            "standby_per_node": 1,
            "parallel": 50,
            "queue_len": 100,
            "queue_timeout": 30.0,
            "scalein_timeout": 1.0,
            "scaleout_policy": {
                "WaitQueueRatio": {
                    "wait_ratio": 0.1
                }
            },
            "runtime_config": {
                "graph_sync": false
            }
        }
    },
    "sample_query": {
        "body": {
            "stream": "true",
            "max_tokens": "80",
            "temperature": "0"
        },
        "path": "v1/completions",
        "prompt": "what is the integral of x^2 from 0 to 2?\nPlease reason step by step, and put your final answer within \\boxed{}.",
        "apiType": "text2text",
        "dataUrl": "",
        "prompts": [],
        "loadingTimeout": 90
    }
}