InferX Catalog | medgemma-27b-text-it-FP8-Dynamic

medgemma-27b-text-it-FP8-Dynamic

MedGemma-27B-Text-IT-FP8-Dynamic is an FP8 Dynamic–quantized derivative of Google’s MedGemma-27B-Text-IT model, optimized for high-throughput inference while preserving strong performance on medical and biomedical instruction-tuned text-only tasks.

turnio text text2text

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Metadata

Provider

turnio

Modality

text

API type

text2text

Source

huggingface / turnio/medgemma-27b-text-it-FP8-Dynamic

Created

2026-04-06 15:03:28 UTC

Updated

2026-04-06 15:03:28 UTC

Catalog version

1

Visibility

Published

Specifications

Parameters

27.00B

MoE

No

Max model length

2000

Image

vllm/vllm-openai:v0.9.0

Default Deploy Config

GPU count

1

vRAM

40000 MB

Summary

1xGPU 40000 MB

Recommended Use Cases

—

Model Spec

{
    "image": "vllm/vllm-openai:v0.9.0",
    "commands": [
        "--model",
        "turnio/medgemma-27b-text-it-FP8-Dynamic",
        "--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": 40000
        }
    },
    "envs": [],
    "sample_query": {
        "body": {
            "model": "turnio/medgemma-27b-text-it-FP8-Dynamic",
            "stream": "true",
            "max_tokens": "1000",
            "temperature": "0"
        },
        "path": "v1/completions",
        "prompt": "write a quick sort algorithm.",
        "apiType": "text2text",
        "dataUrl": "",
        "prompts": [],
        "loadingTimeout": 90
    }
}