Add google/gemma-4-12B to quant queue

google/gemma-4-12B_quant_request_False_W4A16_4bit_int4_RTN_20260709T074354Z.json

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+{"job_type": "quantization & evaluation", "model": "google/gemma-4-12B", "revision": "main", "private": false, "params": 11.96, "architectures": "Gemma4UnifiedForConditionalGeneration", "num_layers": 48, "input_dtype": "bfloat16", "input_bits": 16, "model_params": 11.96, "model_weight_gb": 23.92, "quant_scheme": "INT4 (W4A16)", "quant_precision": "4bit", "quant_weight_dtype": "int4", "quant_bits": 4, "quant_memory_gb": 1.5, "quant_gpu_type": "AWS B200", "quant_gpu_nums": 1, "eval_memory_gb": 13.16, "eval_gpu_type": "AWS B200", "eval_gpu_nums": 1, "quant_model_size_gb": 5.98, "hardware": "AWS B200", "gpu_nums": 1, "method": "RTN", "script": "auto_quant", "status": "Pending", "submitted_time": "2026-07-09T07:43:54Z", "submitted_by": "lvkaokao", "submitted_orgs": ["Intel", "INCModel", "INCModel2", "INCModelSharing"], "model_type": "quantization", "job_id": -1, "job_start_time": null, "agent_type": "local", "cuda_visible_devices": "0", "likes": 650, "license": "apache-2.0", "still_on_hub": true, "tags": ["moe"], "downloads": 0, "created_at": ""}