InferX Catalog | Llama-3.3-70B-Instruct-AWQ

Llama-3.3-70B-Instruct-AWQ

Llama-3.3-70B-Instruct-AWQ is the 4-bit quantized version of Meta's December 2024 flagship "efficiency" model.

kosbu text text2text

Log in to deploy

Metadata

Provider

kosbu

Modality

text

API type

text2text

Source

huggingface / kosbu/Llama-3.3-70B-Instruct-AWQ

Created

2026-04-07 18:06:25 UTC

Updated

2026-04-13 03:09:57 UTC

Catalog version

2

Visibility

Published

Specifications

Parameters

70.00B

MoE

No

Max model length

2000

Image

vllm/vllm-openai:v0.16.0

Default Deploy Config

GPU count

1

vRAM

60000 MB

Summary

1xGPU 60000 MB

Recommended Use Cases

—

Model Spec

{
    "image": "vllm/vllm-openai:v0.16.0",
    "commands": [
        "--model",
        "kosbu/Llama-3.3-70B-Instruct-AWQ",
        "--trust-remote-code",
        "--max-model-len",
        "2000",
        "--tensor-parallel-size=1"
    ],
    "resources": {
        "GPU": {
            "Count": 1,
            "vRam": 60000
        }
    },
    "envs": [],
    "sample_query": {
        "body": {
            "stream": "true",
            "max_tokens": "1000",
            "temperature": "0"
        },
        "path": "v1/completions",
        "prompt": "Find the value of $x$ that satisfies the equation $4x+5 = 6x+7$.",
        "apiType": "text2text",
        "dataUrl": "",
        "prompts": [],
        "loadingTimeout": 90
    }
}