Upload OPTForCausalLM
Browse files- config.json +53 -0
- generation_config.json +7 -0
- pytorch_model.bin +3 -0
config.json
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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": "c4",
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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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}
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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": 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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}
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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:c3317e1384abdcf285343840ee5e0fc75f0af0684e60b9fbfd793c6904a5fb0a
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size 125206653
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