Add FlameF0X/LFM2.5-1.2B-Distilled-Claude to quant queue

FlameF0X/LFM2.5-1.2B-Distilled-Claude_quant_request_False_W4A16_4bit_int4_RTN.json

@@ -0,0 +1 @@
+{"job_type": "quantization & evaluation", "model": "FlameF0X/LFM2.5-1.2B-Distilled-Claude", "revision": "main", "private": false, "params": 1.17, "architectures": "Lfm2ForCausalLM", "num_layers": 16, "input_dtype": "float16", "input_bits": 16, "model_params": 1.17, "model_weight_gb": 2.34, "quant_scheme": "INT4 (W4A16)", "quant_precision": "4bit", "quant_weight_dtype": "int4", "quant_bits": 4, "quant_memory_gb": 0.44, "quant_gpu_type": "NVIDIA GeForce RTX 4090", "quant_gpu_nums": 1, "eval_memory_gb": 1.29, "eval_gpu_type": "NVIDIA GeForce RTX 4090", "eval_gpu_nums": 1, "quant_model_size_gb": 0.58, "hardware": "NVIDIA GeForce RTX 4090", "gpu_nums": 1, "method": "RTN", "script": "auto_quant", "status": "Pending", "submitted_time": "2026-06-26T08:49:51Z", "submitted_by": "wenjiao", "submitted_orgs": ["Intel"], "model_type": "quantization", "job_id": -1, "job_start_time": null, "likes": 2, "license": "apache-2.0", "still_on_hub": true, "tags": [], "downloads": 0, "created_at": ""}