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privacy-filter-mlx-8bit

Token Classification
MLX
openmed
openai_privacy_filter
apple-silicon
pii
privacy
de-identification
redaction
quantized
int8
q8
medical
clinical
Model card Files
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privacy-filter-mlx-8bit
File size: 3,414 Bytes
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{
  "model_type": "openai_privacy_filter",
  "inference_contract_version": 1,
  "encoding": "o200k_base",
  "num_hidden_layers": 8,
  "num_experts": 128,
  "experts_per_token": 4,
  "vocab_size": 200064,
  "num_labels": 33,
  "hidden_size": 640,
  "intermediate_size": 640,
  "head_dim": 64,
  "num_attention_heads": 14,
  "num_key_value_heads": 2,
  "sliding_window": 257,
  "bidirectional_context": true,
  "bidirectional_left_context": 128,
  "bidirectional_right_context": 128,
  "initial_context_length": 4096,
  "max_position_embeddings": 131072,
  "default_n_ctx": 128000,
  "rope_theta": 150000,
  "rope_scaling_factor": 32.0,
  "rope_ntk_alpha": 1.0,
  "rope_ntk_beta": 32.0,
  "param_dtype": "bfloat16",
  "_name_or_path": "openai/privacy-filter",
  "_mlx_task": "token-classification",
  "_mlx_family": "openai-privacy-filter",
  "_mlx_model_type": "openai-privacy-filter",
  "_mlx_runtime": {
    "experimental": true,
    "decode": "bioes-viterbi",
    "tokenizer": "tiktoken"
  },
  "num_local_experts": 128,
  "num_experts_per_tok": 4,
  "rms_norm_eps": 1e-05,
  "id2label": {
    "0": "O",
    "1": "B-account_number",
    "2": "I-account_number",
    "3": "E-account_number",
    "4": "S-account_number",
    "5": "B-private_address",
    "6": "I-private_address",
    "7": "E-private_address",
    "8": "S-private_address",
    "9": "B-private_date",
    "10": "I-private_date",
    "11": "E-private_date",
    "12": "S-private_date",
    "13": "B-private_email",
    "14": "I-private_email",
    "15": "E-private_email",
    "16": "S-private_email",
    "17": "B-private_person",
    "18": "I-private_person",
    "19": "E-private_person",
    "20": "S-private_person",
    "21": "B-private_phone",
    "22": "I-private_phone",
    "23": "E-private_phone",
    "24": "S-private_phone",
    "25": "B-private_url",
    "26": "I-private_url",
    "27": "E-private_url",
    "28": "S-private_url",
    "29": "B-secret",
    "30": "I-secret",
    "31": "E-secret",
    "32": "S-secret"
  },
  "label2id": {
    "B-account_number": 1,
    "B-private_address": 5,
    "B-private_date": 9,
    "B-private_email": 13,
    "B-private_person": 17,
    "B-private_phone": 21,
    "B-private_url": 25,
    "B-secret": 29,
    "E-account_number": 3,
    "E-private_address": 7,
    "E-private_date": 11,
    "E-private_email": 15,
    "E-private_person": 19,
    "E-private_phone": 23,
    "E-private_url": 27,
    "E-secret": 31,
    "I-account_number": 2,
    "I-private_address": 6,
    "I-private_date": 10,
    "I-private_email": 14,
    "I-private_person": 18,
    "I-private_phone": 22,
    "I-private_url": 26,
    "I-secret": 30,
    "O": 0,
    "S-account_number": 4,
    "S-private_address": 8,
    "S-private_date": 12,
    "S-private_email": 16,
    "S-private_person": 20,
    "S-private_phone": 24,
    "S-private_url": 28,
    "S-secret": 32
  },
  "_mlx_viterbi_biases": {
    "transition_bias_background_stay": 0.0,
    "transition_bias_background_to_start": 0.0,
    "transition_bias_end_to_background": 0.0,
    "transition_bias_end_to_start": 0.0,
    "transition_bias_inside_to_continue": 0.0,
    "transition_bias_inside_to_end": 0.0
  },
  "hidden_dropout_prob": 0.1,
  "attention_probs_dropout_prob": 0.1,
  "layer_norm_eps": 1e-12,
  "swiglu_limit": 7.0,
  "_mlx_quantization": {
    "bits": 8,
    "group_size": 64,
    "mode": "affine"
  },
  "_mlx_weights_format": "safetensors"
}