Upload BloomForCausalLM
Browse files- config.json +44 -0
- generation_config.json +7 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "/media/khalid/HDD2/Huggingface_models/bloom_7b",
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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": 4096,
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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": 32,
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"n_inner": null,
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"n_layer": 30,
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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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"quantization_config": {
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"bnb_4bit_compute_dtype": "float32",
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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": false,
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"load_in_8bit": true,
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"quant_method": "bitsandbytes"
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},
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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": "float16",
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"transformers_version": "4.33.0.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": "4.33.0.dev0"
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:cc239d713fafb5fa671652550b478bfb3729c48b77ab8be1ad22dc26e69f0e1f
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size 8102825641
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