Upload BloomForCausalLM
Browse files- config.json +32 -0
- generation_config.json +7 -0
- pytorch_model-00001-of-00008.bin +3 -0
- pytorch_model-00002-of-00008.bin +3 -0
- pytorch_model-00003-of-00008.bin +3 -0
- pytorch_model-00004-of-00008.bin +3 -0
- pytorch_model-00005-of-00008.bin +3 -0
- pytorch_model-00006-of-00008.bin +3 -0
- pytorch_model-00007-of-00008.bin +3 -0
- pytorch_model-00008-of-00008.bin +3 -0
- pytorch_model.bin.index.json +301 -0
config.json
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{
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"_name_or_path": "bigscience/bloom-560m",
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"apply_residual_connection_post_layernorm": false,
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"architectures": [
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"BloomForCausalLM"
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],
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"attention_dropout": 0.0,
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"attention_softmax_in_fp32": true,
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"bias_dropout_fusion": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_dropout": 0.0,
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"masked_softmax_fusion": true,
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"model_type": "bloom",
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"n_head": 16,
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"n_inner": null,
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"n_layer": 24,
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"offset_alibi": 100,
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"pad_token_id": 3,
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"pretraining_tp": 1,
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"skip_bias_add": true,
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"skip_bias_add_qkv": false,
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"slow_but_exact": false,
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"torch_dtype": "float32",
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"transformers_version": "4.32.0.dev0",
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"unk_token_id": 0,
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"use_cache": true,
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"vocab_size": 250880
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"pad_token_id": 3,
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"transformers_version": "4.32.0.dev0"
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}
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pytorch_model-00001-of-00008.bin
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pytorch_model-00002-of-00008.bin
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pytorch_model-00003-of-00008.bin
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pytorch_model-00004-of-00008.bin
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pytorch_model-00005-of-00008.bin
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pytorch_model-00006-of-00008.bin
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pytorch_model-00007-of-00008.bin
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pytorch_model.bin.index.json
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