Download ConicCat/Gemma4-GarnetV2-31B_quant_request_False_W4A16_4bit_int4.json from Intel/ld_requests: direct link, hf CLI and curl.
- Browser
- Download file 1 kB
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https://huggingface.co/datasets/Intel/ld_requests/resolve/main/ConicCat/Gemma4-GarnetV2-31B_quant_request_False_W4A16_4bit_int4.json
- Command line
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hf download hf://datasets/Intel/ld_requests/ConicCat/Gemma4-GarnetV2-31B_quant_request_False_W4A16_4bit_int4.json
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curl -L -o Gemma4-GarnetV2-31B_quant_request_False_W4A16_4bit_int4.json https://huggingface.co/datasets/Intel/ld_requests/resolve/main/ConicCat/Gemma4-GarnetV2-31B_quant_request_False_W4A16_4bit_int4.json
1 kB
| {"job_type": "quantization & evaluation", "model": "ConicCat/Gemma4-GarnetV2-31B", "revision": "main", "private": false, "params": 31.27, "architectures": "Gemma4ForConditionalGeneration", "num_layers": 60, "input_dtype": "bfloat16", "input_bits": 16, "model_params": 31.27, "model_weight_gb": 62.55, "quant_scheme": "INT4 (W4A16)", "quant_precision": "4bit", "quant_weight_dtype": "int4", "quant_bits": 4, "quant_memory_gb": 3.13, "quant_gpu_type": "NVIDIA GeForce RTX 4090", "quant_gpu_nums": 1, "eval_memory_gb": 34.4, "eval_gpu_type": "NVIDIA RTX PRO 6000 Blackwell Server Edition", "eval_gpu_nums": 1, "quant_model_size_gb": 15.63, "hardware": "NVIDIA RTX PRO 6000 Blackwell Server Edition", "gpu_nums": 1, "script": "auto_quant", "status": "Pending", "submitted_time": "2026-06-02T10:26:00Z", "submitted_by": "chronos75", "model_type": "quantization", "job_id": -1, "job_start_time": null, "likes": 13, "license": "apache-2.0", "still_on_hub": true, "tags": [], "downloads": 0, "created_at": ""} |