InferX Endpoint | gemma-4-31B-it-fp8

Endpoint gemma-4-31B-it-fp8

Gemma-4-31B-it-FP8 is a state-of-the-art, instruction-tuned dense model from Google, optimized for high-performance inference

Metadata

Name

gemma-4-31B-it-fp8

Provider

google

Parameter Size

31.00B

GPU Count

1

Context Length

262144

Concurrency

2.91x

Cold Start TTFT

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Recommended Use Cases

Coding assistant, RAG

Detailed Intro

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This public page shows the published endpoint metadata and integration shape. Log in to get a tenant-scoped endpoint URL, inference API key, and the interactive playground. Log in

Integration

Use these values in Dify, OpenWebUI, Continue, OpenCode, or any OpenAI-compatible client that asks for a base URL, API key, and model name.

API Base URL

https://model.inferx.net/funccall/<tenant>/endpoints/gemma-4-31B-it-fp8/v1

Model Name

google/gemma-4-31B-it

API Key

<INFERENCE_API_KEY>

An inference API key is required for this endpoint. Until one is available, the sample request below keeps the correct request shape and uses a placeholder token.

Sample REST Call

Model Spec

{
    "image": "inferx/inferx-openai:gemma4",
    "commands": [
        "--model",
        "google/gemma-4-31B-it",
        "--disable-custom-all-reduce",
        "--trust-remote-code",
        "--gpu-memory-utilization",
        " 0.95",
        "--quantization",
        "fp8",
        "--max-model-len",
        "262144",
        "--kv-cache-dtype",
        "fp8",
        "--uvicorn-log-level",
        "warning",
        "--enable-auto-tool-choice",
        "--tool-call-parser",
        "gemma4",
        "--reasoning-parser",
        "gemma4",
        "--tensor-parallel-size",
        "1"
    ],
    "resources": {
        "GPU": {
            "Count": 1,
            "vRam": 70000
        }
    },
    "envs": [
        [
            "VLLM_USE_DEEP_GEMM",
            "0"
        ]
    ],
    "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": {
        "apiType": "text2text",
        "raw_query": false,
        "path": "v1/completions",
        "prompt": "write a quick sort algorithm.",
        "prompts": [],
        "dataUrl": "",
        "max_tokens": 0,
        "body": {
            "max_tokens": "1000",
            "model": "google/gemma-4-31B-it",
            "stream": "true",
            "temperature": "0"
        },
        "loadingTimeout": 90
    }
}