MiniMax-M2.5-mic / integration.json
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Measure checkpoints above 1B on GPU in bfloat16 only
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{
"mic": "0.3",
"name": "MiniMax-M2.5 causal LM",
"usage": "AutoTokenizer + AutoModelForCausalLM, batched, left padding, causal-LM labels, one SGD step",
"architecture": "MiniMaxM2ForCausalLM",
"checkpoints": {
"MiniMaxAI/MiniMax-M2.5": {
"fixture": "huggingface-mic/MiniMax-M2.5-mic"
}
},
"fixtures": {
"huggingface-mic/MiniMax-M2.5-mic": {
"built_from": "MiniMaxAI/MiniMax-M2.5",
"covers": [
"MiniMaxAI/MiniMax-M2.5"
],
"build": {
"seed": 17
}
}
},
"integrations": {
"transformers": {
"entry_point": "integrations/transformers/usage.md",
"format": "runnable-markdown",
"requires": [
"transformers>=5",
"torch"
],
"targets": [
"fixtures"
],
"variants": {
"default": {},
"eager": {
"attn_implementation": "eager"
},
"bfloat16": {
"dtype": "bfloat16"
}
},
"training": true,
"resources": {
"fixture": {
"memory_gb": 2,
"download_mb": 40
},
"MiniMaxAI/MiniMax-M2.5": {
"memory_gb": 64,
"gpu_memory_gb": 24,
"download_mb": 20000,
"devices": [
"cuda"
],
"variants": {
"default": {
"devices": []
},
"eager": {
"devices": []
}
}
}
}
}
},
"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"
}
}
}