Add google/gemma-4-26B-A4B-it-qat-q4_0-unquantized to quant queue

google/gemma-4-26B-A4B-it-qat-q4_0-unquantized_quant_request_False_W4A16_4bit_int4_RTN.json

@@ -0,0 +1 @@
+{"job_type": "quantization & evaluation", "model": "google/gemma-4-26B-A4B-it-qat-q4_0-unquantized", "revision": "main", "private": false, "params": 25.81, "architectures": "Gemma4ForConditionalGeneration", "num_layers": 30, "input_dtype": "bfloat16", "input_bits": 16, "model_params": 25.81, "model_weight_gb": 51.61, "quant_scheme": "INT4 (W4A16)", "quant_precision": "4bit", "quant_weight_dtype": "int4", "quant_bits": 4, "quant_memory_gb": 5.16, "quant_gpu_type": "NVIDIA GeForce RTX 4090", "quant_gpu_nums": 1, "eval_memory_gb": 28.39, "eval_gpu_type": "NVIDIA GeForce RTX 5090", "eval_gpu_nums": 1, "quant_model_size_gb": 12.9, "hardware": "NVIDIA GeForce RTX 5090", "gpu_nums": 1, "method": "RTN", "script": "auto_quant", "status": "Pending", "submitted_time": "2026-06-14T07:57:17Z", "submitted_by": "RainbowPiBubbles", "submitted_orgs": ["sd-dreambooth-library", "dfgdgs"], "model_type": "quantization", "job_id": -1, "job_start_time": null, "likes": 23, "license": "apache-2.0", "still_on_hub": true, "tags": ["moe"], "downloads": 0, "created_at": ""}