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config.json

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+{
+  "_name_or_path": "DeId-Small",
+  "architectures": ["LlamaForCausalLM"],
+  "vocab_size": 49152,
+  "context_length": 2048,
+  "hidden_size": 576,
+  "num_attention_heads": 9,
+  "num_hidden_layers": 30,
+  "intermediate_size": 1536,
+  "quantization_config": {
+    "quant_method": "gguf",
+    "quantization_type": "Q8_0",
+    "quantization_bits": 8,
+    "compression_ratio": 0.5,
+    "quantization_version": "2",
+    "quantization_fidelity": "high",
+    "quantization_format": "GGUF",
+    "quantization_description": "8-bit quantization with optimized weights for high fidelity"
+  },
+  "file_size": 136400000,
+  "file_size_mb": 136,
+  "gguf_file": "model.gguf",
+  "model_family": "llama",
+  "model_version": "1.0.0",
+  "hardware_requirements": {
+    "minimum_ram": "8GB",
+    "recommended_ram": "16GB",
+    "cpu_compatibility": "Any modern CPU",
+    "gpu_compatibility": {
+      "nvidia": "Any CUDA-compatible GPU",
+      "amd": "Any ROCm-compatible GPU",
+      "apple_silicon": "M1/M2/M3/M4 chips with Metal"
+    },
+    "os_compatibility": ["linux", "macos", "windows"],
+    "recommended_hardware": "Apple Silicon M2/M3/M4, Intel i7/i9, or NVIDIA RTX 30-series",
+    "memory_usage_estimate": "~2GB during inference",
+    "storage_requirements": "150MB free space"
+  },
+  "performance_metrics": {
+    "completeness_score": 0.640,
+    "pii_detection_rate": 0.203,
+    "semantic_preservation": 0.109,
+    "latency_ms": 492.4,
+    "throughput_requests_per_second": 2.0,
+    "benchmark_dataset": "Personal De-identifier Benchmark",
+    "benchmark_samples": 100,
+    "evaluation_date": "2025-09-25"
+  },
+  "model_creator": "Minibase AI",
+  "model_url": "https://minibase.ai",
+  "discord_url": "https://discord.com/invite/BrJn4D2Guh",
+  "repository_url": "https://github.com/minibase-ai/deid-small",
+  "paper_url": "https://minibase.ai/research/deid-small",
+  "license": "apache-2.0",
+  "tags": [
+    "text-generation",
+    "text-deidentification",
+    "privacy",
+    "pii-removal",
+    "medical",
+    "legal",
+    "hr",
+    "llama",
+    "gguf",
+    "quantized",
+    "cpu-inference",
+    "apple-silicon",
+    "minibase",
+    "small-model",
+    "2048-context",
+    "q8_0"
+  ]
+}