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Tercet-base

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tiny_gdn
causal-lm
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Tercet-base
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{
  "allow_negative_eigenvalues": false,
  "architecture": "TinyGDNForCausalLM",
  "architectures": [
    "TinyGDNForCausalLM"
  ],
  "attention_dropout": 0.0,
  "attention_head_dim": 128,
  "bos_token_id": 0,
  "checkpoint_step": 16300,
  "eos_token_id": 1,
  "full_attention_interval": 4,
  "hidden_size": 1024,
  "initializer_range": 0.02,
  "intermediate_size": 2624,
  "layer_types": [
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    "gdn2",
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    "full_attention",
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    "full_attention",
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  ],
  "linear_conv_kernel_dim": 4,
  "linear_expand_v": 1.0,
  "linear_head_dim": 128,
  "linear_num_heads": 8,
  "linear_num_value_heads": 8,
  "max_position_embeddings": 32768,
  "model_family": "Tercet",
  "model_name": "Tercet-base",
  "model_type": "tiny_gdn",
  "mtp_adapter_rank": 128,
  "mtp_loss_weight": 0.0,
  "mtp_num_heads": 0,
  "num_attention_heads": 8,
  "num_hidden_layers": 32,
  "num_key_value_heads": 2,
  "pad_token_id": 2,
  "partial_rotary_factor": 0.5,
  "rms_norm_eps": 1e-06,
  "rope_theta": 1000000.0,
  "shared_layer_indices": [],
  "stage": "pretrain",
  "tie_word_embeddings": true,
  "torch_dtype": "bfloat16",
  "training_sequence_length": 2048,
  "transformers_version": "4.45.0",
  "unk_token_id": 3,
  "vocab_size": 49152,
  "weights": "ema"
}