mic-internvl-integration / integration.json
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{
"mic": "0.3",
"name": "InternVL3-1B",
"usage": "AutoProcessor + AutoModelForImageTextToText, multimodal image+text inference and training",
"architecture": "InternVLForConditionalGeneration",
"checkpoints": {
"OpenGVLab/InternVL3-1B-hf": {
"fixture": "hf-internal-testing/mic-internvl-slim"
}
},
"fixtures": {
"hf-internal-testing/mic-internvl-slim": {
"built_from": "OpenGVLab/InternVL3-1B-hf",
"covers": [
"OpenGVLab/InternVL3-1B-hf"
],
"build": {
"seed": 17
}
}
},
"integrations": {
"transformers": {
"entry_point": "integrations/transformers/usage.md",
"format": "runnable-markdown",
"requires": [
"transformers>=4.52",
"torch",
"Pillow",
"numpy"
],
"targets": [
"fixtures"
],
"variants": {
"default": {},
"eager": {
"attn_implementation": "eager"
},
"bfloat16": {
"dtype": "bfloat16"
}
},
"training": true,
"resources": {
"fixture": {
"memory_gb": 4,
"download_mb": 200
},
"OpenGVLab/InternVL3-1B-hf": {
"memory_gb": 8,
"download_mb": 2100
}
}
}
},
"outputs": {
"runtime": {
"compare": "exact"
},
"logits_probe": {
"compare": "allclose",
"atol": 0.0001,
"rtol": 0.0001
},
"training.loss": {
"compare": "allclose",
"atol": 0.0001,
"rtol": 0.0001
},
"training.gradients": {
"compare": "all_true"
},
"training.updated": {
"compare": "true"
}
}
}