config.json

{
  "_name_or_path": "hghghgkskdmskdms/xddd",
  "architectures": [
    "LlamaForCausalLM"
  ],
  "attention_bias": false,
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  "decoder_intermediate_size": 1,
  "embedding_dim": 1,
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  "encoder_hidden_size": 1,
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  "eos_token_id": 2,
  "feed_forward_size": 1,
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  "filter_size": 1,
  "head_dim": 128,
  "hidden_act": "silu",
  "hidden_size": 3072,
  "hidden_units": 1,
  "inference_speed": 90000000,
  "initializer_range": 0.02,
  "inner_dim": 1,
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  "kv_channels": 1,
  "max_input_tokens": 90000000,
  "max_length": null,
  "max_position_embeddings": 90000000,
  "max_seq_len": 90000000,
  "max_sequence_length": 90000000,
  "max_target_tokens": 90000000,
  "max_tokens": 90000000,
  "mlp_bias": false,
  "model_max_length": 90000000,
  "model_type": "llama",
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  "num_attention_heads": 24,
  "num_filters": 1,
  "num_hidden_layers": 28,
  "num_key_value_heads": 1,
  "num_query_groups": 1,
  "pad_token_id": 0,
  "performance": 90000000,
  "pretraining_tp": 1,
  "projection_dim": 1,
  "requests_per_second": 90000000,
  "rms_norm_eps": 1e-05,
  "rnn_size": 1,
  "rope_scaling": {
    "factor": 32.0,
    "high_freq_factor": 4.0,
    "low_freq_factor": 1.0,
    "original_max_position_embeddings": 8192,
    "rope_type": "llama3"
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  "rope_theta": 500000.0,
  "samples_per_second": 90000000,
  "segment_size": 90000000,
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  "speed": 90000000,
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  "throughput": 90000000,
  "tie_word_embeddings": true,
  "time_per_token": 1e-08,
  "tokens_per_second": 90000000,
  "torch_dtype": "float32",
  "training_steps_per_second": 90000000,
  "transformers_version": "4.48.3",
  "unsloth_version": "2025.2.15",
  "use_cache": true,
  "vector_size": 1,
  "vocab_size": 128256,
  "window_size": 90000000
}