Add FrontiersMind/Nandi-Mini-600M-Early-Checkpoint to quant queue
Browse files
FrontiersMind/Nandi-Mini-600M-Early-Checkpoint_quant_request_False_W4A16_4bit_int4.json
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{"job_type": "quantization & evaluation", "model": "FrontiersMind/Nandi-Mini-600M-Early-Checkpoint", "revision": "main", "private": false, "params": 0.65, "architectures": "NandiForCausalLM", "num_layers": 28, "input_dtype": "bfloat16", "input_bits": 16, "model_params": 0.65, "model_weight_gb": 1.29, "quant_scheme": "INT4 (W4A16)", "quant_precision": "4bit", "quant_weight_dtype": "int4", "quant_bits": 4, "quant_memory_gb": 0.12, "quant_gpu_type": "NVIDIA GeForce RTX 4090", "quant_gpu_nums": 1, "eval_memory_gb": 0.39, "eval_gpu_type": "NVIDIA GeForce RTX 4090", "eval_gpu_nums": 1, "quant_model_size_gb": 0.33, "hardware": "NVIDIA GeForce RTX 4090", "gpu_nums": 1, "script": "auto_quant", "status": "Pending", "submitted_time": "2026-05-
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{"job_type": "quantization & evaluation", "model": "FrontiersMind/Nandi-Mini-600M-Early-Checkpoint", "revision": "main", "private": false, "params": 0.65, "architectures": "NandiForCausalLM", "num_layers": 28, "input_dtype": "bfloat16", "input_bits": 16, "model_params": 0.65, "model_weight_gb": 1.29, "quant_scheme": "INT4 (W4A16)", "quant_precision": "4bit", "quant_weight_dtype": "int4", "quant_bits": 4, "quant_memory_gb": 0.12, "quant_gpu_type": "NVIDIA GeForce RTX 4090", "quant_gpu_nums": 1, "eval_memory_gb": 0.39, "eval_gpu_type": "NVIDIA GeForce RTX 4090", "eval_gpu_nums": 1, "quant_model_size_gb": 0.33, "hardware": "NVIDIA GeForce RTX 4090", "gpu_nums": 1, "script": "auto_quant", "status": "Pending", "submitted_time": "2026-05-21T14:20:48Z", "submitted_by": "wenjiao", "model_type": "quantization", "job_id": -1, "job_start_time": null, "likes": 106, "license": "apache-2.0", "still_on_hub": true, "tags": [], "downloads": 0, "created_at": ""}
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