SaiKamalKadarla commited on
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Create config.json

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  1. config.json +45 -0
config.json ADDED
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+ {
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+ "_name_or_path": "SaiKamalKadarla/gemma-7b-RyobiIntent-it-2000steps",
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+ "architectures": [
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+ "GemmaForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 2,
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+ "eos_token_id": 1,
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+ "head_dim": 256,
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+ "hidden_act": "gelu",
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+ "hidden_activation": "gelu_pytorch_tanh",
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+ "hidden_size": 3072,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 24576,
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+ "max_position_embeddings": 8192,
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+ "model_type": "gemma",
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+ "num_attention_heads": 16,
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+ "num_hidden_layers": 28,
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+ "num_key_value_heads": 16,
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+ "pad_token_id": 0,
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+ "pretraining_tp": 1,
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+ "quantization_config": {
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+ "_load_in_4bit": true,
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+ "_load_in_8bit": false,
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+ "bnb_4bit_compute_dtype": "float16",
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+ "bnb_4bit_quant_storage": "uint8",
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+ "bnb_4bit_quant_type": "nf4",
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+ "bnb_4bit_use_double_quant": false,
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+ "llm_int8_enable_fp32_cpu_offload": false,
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+ "llm_int8_has_fp16_weight": false,
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+ "llm_int8_skip_modules": null,
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+ "llm_int8_threshold": 6.0,
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+ "load_in_4bit": true,
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+ "load_in_8bit": false,
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+ "quant_method": "bitsandbytes"
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+ },
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+ "rms_norm_eps": 1e-06,
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+ "rope_scaling": null,
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+ "rope_theta": 10000.0,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.41.2",
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+ "use_cache": false,
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+ "vocab_size": 256000
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+ }