Upload config.json with huggingface_hub
Browse files- config.json +51 -0
config.json
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{
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"_name_or_path": "facebook/nllb-200-distilled-600M",
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"architectures": [
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"M2M100ForConditionalGeneration"
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],
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"model_type": "m2m_100",
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"quantization_config": {
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"method": "EfQAT-CWPN",
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"bits": 4,
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"adaptive_bits": true,
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"critical_layers_bits": 8,
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"normal_layers_bits": 4,
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"compression_ratio": 6.3,
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"precision_retention": 0.807
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},
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"efqat_config": {
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"update_ratio": 0.08,
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"update_frequency": 30,
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"progressive_stages": 3,
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"critical_layer_patterns": [
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"self_attn.q_proj",
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"self_attn.k_proj",
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"self_attn.v_proj",
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"encoder_attn.q_proj",
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"encoder_attn.k_proj",
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"encoder_attn.v_proj",
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"lm_head"
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]
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},
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"torch_dtype": "float32",
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"transformers_version": "4.36.0",
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"use_cache": true,
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"vocab_size": 256206,
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"d_model": 1024,
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"encoder_layers": 12,
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"decoder_layers": 12,
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"encoder_attention_heads": 16,
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"decoder_attention_heads": 16,
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"decoder_ffn_dim": 4096,
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"encoder_ffn_dim": 4096,
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"activation_function": "relu",
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"dropout": 0.1,
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"attention_dropout": 0.1,
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"activation_dropout": 0.0,
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"init_std": 0.02,
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"decoder_start_token_id": 2,
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"scale_embedding": true,
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"pad_token_id": 1,
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"bos_token_id": 0,
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"eos_token_id": 2
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}
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