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kakaobrain__kogpt-6b-4bit

Text Generation
Transformers
PyTorch
gptj
Inference Endpoints
4-bit precision
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kakaobrain__kogpt-6b-4bit
File size: 1,303 Bytes 
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{
  "_name_or_path": "kakaobrain/kogpt",
  "activation_function": "gelu_new",
  "architectures": [
    "GPTJForCausalLM"
  ],
  "attn_pdrop": 0.1,
  "bos_token_id": 0,
  "embd_pdrop": 0.1,
  "eos_token_id": 1,
  "gradient_checkpointing": false,
  "initializer_range": 0.02,
  "layer_norm_epsilon": 1e-05,
  "model_type": "gptj",
  "n_embd": 4096,
  "n_head": 16,
  "n_inner": null,
  "n_layer": 28,
  "n_positions": 2048,
  "quantization_config": {
    "bnb_4bit_compute_dtype": "float32",
    "bnb_4bit_quant_type": "fp4",
    "bnb_4bit_use_double_quant": false,
    "llm_int8_enable_fp32_cpu_offload": false,
    "llm_int8_has_fp16_weight": false,
    "llm_int8_skip_modules": null,
    "llm_int8_threshold": 6.0,
    "load_in_4bit": true,
    "load_in_8bit": false
  },
  "resid_pdrop": 0.0,
  "rotary_dim": 64,
  "summary_activation": null,
  "summary_first_dropout": 0.1,
  "summary_proj_to_labels": true,
  "summary_type": "cls_index",
  "summary_use_proj": true,
  "task_specific_params": {
    "text-generation": {
      "do_sample": true,
      "max_length": 128,
      "temperature": 1.0
    }
  },
  "tie_word_embeddings": false,
  "tokenizer_class": "PreTrainedTokenizerFast",
  "torch_dtype": "float16",
  "transformers_version": "4.30.0.dev0",
  "use_cache": true,
  "vocab_size": 64512
}