upload v0.5 4bits model
Browse files
sakura_13b_model_v0.5_4bits_autogptq_40k/config.json
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{
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"_from_model_config": true,
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"architectures": [
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"BaichuanForCausalLM"
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],
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"auto_map": {
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"AutoConfig": "configuration_baichuan.BaichuanConfig",
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"AutoModelForCausalLM": "baichuan-inc/Baichuan2-13B-Chat--modeling_baichuan.BaichuanForCausalLM"
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},
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 13696,
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"model_max_length": 4096,
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"model_type": "baichuan",
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"num_attention_heads": 40,
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"num_hidden_layers": 40,
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"pad_token_id": 0,
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"rms_norm_eps": 1e-06,
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"tie_word_embeddings": false,
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"tokenizer_class": "BaichuanTokenizer",
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"torch_dtype": "float16",
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"transformers_version": "4.31.0",
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"use_cache": false,
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"vocab_size": 125696,
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"z_loss_weight": 0
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}
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sakura_13b_model_v0.5_4bits_autogptq_40k/configuration_baichuan.py
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# Copyright (c) 2023, Baichuan Intelligent Technology. All rights reserved.
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from transformers.configuration_utils import PretrainedConfig
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class BaichuanConfig(PretrainedConfig):
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model_type = "baichuan"
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keys_to_ignore_at_inference = ["past_key_values"]
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def __init__(
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self,
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vocab_size=64000,
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hidden_size=5120,
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intermediate_size=13696,
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num_hidden_layers=40,
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num_attention_heads=40,
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hidden_act="silu",
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model_max_length=4096,
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initializer_range=0.02,
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rms_norm_eps=1e-6,
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use_cache=True,
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pad_token_id=0,
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bos_token_id=1,
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eos_token_id=2,
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tie_word_embeddings=False,
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gradient_checkpointing=False,
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z_loss_weight=0,
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**kwargs,
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):
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self.vocab_size = vocab_size
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self.model_max_length = model_max_length
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self.hidden_size = hidden_size
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self.intermediate_size = intermediate_size
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self.num_hidden_layers = num_hidden_layers
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self.num_attention_heads = num_attention_heads
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self.hidden_act = hidden_act
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self.initializer_range = initializer_range
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self.rms_norm_eps = rms_norm_eps
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self.use_cache = use_cache
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self.z_loss_weight = z_loss_weight
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self.gradient_checkpointing = (gradient_checkpointing,)
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super().__init__(
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pad_token_id=pad_token_id,
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bos_token_id=bos_token_id,
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eos_token_id=eos_token_id,
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tie_word_embeddings=tie_word_embeddings,
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**kwargs,
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)
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sakura_13b_model_v0.5_4bits_autogptq_40k/gptq_model-4bit-128g.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:8ee5e3935f030fec49cf5a19b3c903f50b5593274a0a80bff8e8fa2ee9c2431d
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size 9136013235
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sakura_13b_model_v0.5_4bits_autogptq_40k/quantize_config.json
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{
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"bits": 4,
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"group_size": 128,
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"damp_percent": 0.01,
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"desc_act": false,
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"static_groups": false,
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"sym": true,
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"true_sequential": true,
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"model_name_or_path": null,
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"model_file_base_name": null
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}
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