alperiox commited on
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instruction fine-tuned for 50 steps on OPUS dataset.

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  1. config.json +43 -0
config.json ADDED
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+ {
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+ "_name_or_path": "CohereForAI/aya-23-8B",
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+ "architectures": [
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+ "CohereForCausalLM"
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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": 5,
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+ "eos_token_id": 255001,
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+ "hidden_act": "silu",
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+ "hidden_size": 4096,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 14336,
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+ "layer_norm_eps": 1e-05,
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+ "logit_scale": 0.0625,
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+ "max_position_embeddings": 8192,
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+ "model_type": "cohere",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 8,
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+ "pad_token_id": 0,
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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": "bfloat16",
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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": true,
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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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+ "rope_theta": 10000,
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.42.4",
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+ "use_cache": true,
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+ "use_qk_norm": false,
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+ "vocab_size": 256000
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+ }