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250f68e
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Upload OPTForCausalLM

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  1. config.json +55 -0
  2. generation_config.json +7 -0
  3. pytorch_model.bin +3 -0
config.json ADDED
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+ {
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+ "_name_or_path": "facebook/opt-125m",
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+ "_remove_final_layer_norm": false,
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+ "activation_dropout": 0.0,
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+ "activation_function": "relu",
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+ "architectures": [
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+ "OPTForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 2,
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+ "do_layer_norm_before": true,
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+ "dropout": 0.1,
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+ "enable_bias": true,
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+ "eos_token_id": 2,
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+ "ffn_dim": 3072,
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+ "hidden_size": 768,
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+ "init_std": 0.02,
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+ "layer_norm_elementwise_affine": true,
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+ "layerdrop": 0.0,
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+ "max_position_embeddings": 2048,
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+ "model_type": "opt",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 1,
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+ "prefix": "</s>",
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+ "quantization_config": {
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+ "batch_size": 1,
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+ "bits": 4,
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+ "block_name_to_quantize": "model.decoder.layers",
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+ "damp_percent": 0.1,
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+ "dataset": [
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+ "auto-gptq is an easy-to-use model quantization library with user-friendly apis, based on GPTQ algorithm."
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+ ],
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+ "desc_act": false,
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+ "disable_exllama": false,
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+ "group_size": 128,
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+ "model_seqlen": 2048,
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+ "module_name_preceding_first_block": [
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+ "model.decoder.embed_tokens",
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+ "model.decoder.embed_positions",
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+ "model.decoder.final_layer_norm"
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+ ],
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+ "pad_token_id": null,
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+ "quant_method": "gptq",
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+ "sym": true,
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+ "tokenizer": null,
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+ "true_sequential": true,
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+ "use_cuda_fp16": true
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+ },
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.32.0",
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+ "use_cache": true,
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+ "vocab_size": 50272,
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+ "word_embed_proj_dim": 768
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+ }
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "bos_token_id": 2,
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+ "eos_token_id": 2,
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+ "pad_token_id": 1,
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+ "transformers_version": "4.32.0"
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+ }
pytorch_model.bin ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:2f2ea942f5abcf51afdbecd587ff0d25a92f632bc0b4300144bedf2db1be7198
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+ size 125206653