Add Qwen/Qwen3.5-9B to quant queue

Qwen/Qwen3.5-9B_quant_request_False_W4A16_4bit_int4.json

@@ -1 +1 @@
-{"job_type": "quantization & evaluation", "model": "Qwen/Qwen3.5-9B", "revision": "main", "private": false, "params": 9.65, "architectures": "Qwen3_5ForConditionalGeneration", "num_layers": 32, "input_dtype": "float16", "input_bits": 16, "model_params": 9.65, "model_weight_gb": 19.31, "quant_scheme": "INT4 (W4A16)", "quant_precision": "4bit", "quant_weight_dtype": "int4", "quant_bits": 4, "quant_memory_gb": 1.57, "quant_gpu_type": "NVIDIA GeForce RTX 4090", "quant_gpu_nums": 1, "eval_memory_gb": 5.79, "eval_gpu_type": "NVIDIA GeForce RTX 4090", "eval_gpu_nums": 1, "quant_model_size_gb": 4.83, "hardware": "NVIDIA GeForce RTX 4090", "gpu_nums": 1, "script": "auto_quant", "status": "Pending", "submitted_time": "2026-04-28T10:19:10Z", "model_type": "quantization", "job_id": -1, "job_start_time": null, "likes": 1357, "license": "apache-2.0", "still_on_hub": true, "tags": [], "downloads": 0, "created_at": ""}
+{"job_type": "quantization & evaluation", "model": "Qwen/Qwen3.5-9B", "revision": "main", "private": false, "params": 9.65, "architectures": "Qwen3_5ForConditionalGeneration", "num_layers": 32, "input_dtype": "float16", "input_bits": 16, "model_params": 9.65, "model_weight_gb": 19.31, "quant_scheme": "INT4 (W4A16)", "quant_precision": "4bit", "quant_weight_dtype": "int4", "quant_bits": 4, "quant_memory_gb": 1.57, "quant_gpu_type": "NVIDIA GeForce RTX 4090", "quant_gpu_nums": 1, "eval_memory_gb": 5.79, "eval_gpu_type": "NVIDIA GeForce RTX 4090", "eval_gpu_nums": 1, "quant_model_size_gb": 4.83, "hardware": "NVIDIA GeForce RTX 4090", "gpu_nums": 1, "script": "auto_quant", "status": "Pending", "submitted_time": "2026-04-28T12:45:08Z", "model_type": "quantization", "job_id": -1, "job_start_time": null, "likes": 1358, "license": "apache-2.0", "still_on_hub": true, "tags": [], "downloads": 0, "created_at": ""}