RichardErkhov commited on
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291f659
1 Parent(s): dcd6e63

uploaded model

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  1. config.json +46 -0
config.json ADDED
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+ {
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+ "_name_or_path": "deepseek-coder-33b-base",
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+ "architectures": [
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+ "LlamaForCausalLM"
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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": 32013,
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+ "eos_token_id": 32014,
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+ "hidden_act": "silu",
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+ "hidden_size": 7168,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 19200,
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+ "max_position_embeddings": 16384,
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+ "model_type": "llama",
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+ "num_attention_heads": 56,
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+ "num_hidden_layers": 62,
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+ "num_key_value_heads": 8,
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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": "float32",
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+ "bnb_4bit_quant_storage": "uint8",
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+ "bnb_4bit_quant_type": "fp4",
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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": {
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+ "factor": 4.0,
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+ "type": "linear"
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+ },
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+ "rope_theta": 100000,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.39.3",
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+ "use_cache": true,
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+ "vocab_size": 32256
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+ }