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erfanzar
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MaticGPT

Text Generation
Transformers
Safetensors
GGUF
llama
text-generation-inference
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MaticGPT
File size: 1,670 Bytes 
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{
  "a_ps": [
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      "dp",
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    ],
    "sp",
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    null
  ],
  "architectures": [
    "LlamaForCausalLM"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "axis_dims": [
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  "axis_names": [
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  ],
  "b_ps": [
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      "fsdp"
    ],
    null,
    null,
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  ],
  "backend": null,
  "bits": null,
  "bos_token_id": 1,
  "c_max_position_embeddings": 2048,
  "easy_method": "train",
  "embd_pdrop": 0.0,
  "eos_token_id": 2,
  "fcm_max_ratio": 0.0,
  "fcm_min_ratio": 0.0,
  "flash_attn_key_chunk_size": 1024,
  "flash_attn_query_chunk_size": 1024,
  "freq_max_position_embeddings": 2048,
  "hidden_act": "silu",
  "hidden_size": 2048,
  "initializer_range": 0.02,
  "intermediate_size": 5632,
  "k_ps": [
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    ],
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  ],
  "max_position_embeddings": 2048,
  "model_type": "llama",
  "num_attention_heads": 32,
  "num_hidden_layers": 22,
  "num_key_value_heads": 4,
  "number_rep_kv": 1,
  "pretraining_tp": 1,
  "q_ps": [
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  ],
  "resid_pdrop": 0.0,
  "rms_norm_eps": 1e-05,
  "rope_scaling": null,
  "rope_theta": 10000.0,
  "scan_layers": true,
  "scan_mlp_chunk_size": 1024,
  "tie_word_embeddings": false,
  "torch_dtype": "float16",
  "transformers_version": "4.36.2",
  "use_cache": true,
  "use_flash_attention": false,
  "use_pjit_attention_force": false,
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  "use_shard_map": false,
  "v_ps": [
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  "vocab_size": 32000
}