Upload MptForCausalLM
Browse files- config.json +118 -0
- generation_config.json +6 -0
- pytorch_model-00001-of-00007.bin +3 -0
- pytorch_model-00002-of-00007.bin +3 -0
- pytorch_model-00003-of-00007.bin +3 -0
- pytorch_model-00004-of-00007.bin +3 -0
- pytorch_model-00005-of-00007.bin +3 -0
- pytorch_model-00006-of-00007.bin +3 -0
- pytorch_model-00007-of-00007.bin +3 -0
- pytorch_model.bin.index.json +202 -0
config.json
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{
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"_commit_hash": "72e5f594ce36f9cabfa2a9fd8f58b491eb467ee7",
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"_name_or_path": "mosaicml/mpt-7b",
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"architectures": [
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"MptForCausalLM"
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],
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"attn_config": {
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"_name_or_path": "",
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"add_cross_attention": false,
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"alibi": true,
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"alibi_bias_max": 8,
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"architectures": null,
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"attn_impl": "torch",
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"attn_pdrop": 0,
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"attn_type": "multihead_attention",
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"attn_uses_sequence_id": false,
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"diversity_penalty": 0.0,
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"do_sample": false,
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"early_stopping": false,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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"is_decoder": false,
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"is_encoder_decoder": false,
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"max_length": 20,
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"min_length": 0,
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"model_type": "",
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"num_beam_groups": 1,
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"num_beams": 1,
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"output_attentions": false,
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"pruned_heads": {},
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"temperature": 1.0,
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"tf_legacy_loss": false,
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"tie_encoder_decoder": false,
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"tie_word_embeddings": true,
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"tokenizer_class": null,
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"top_k": 50,
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"top_p": 1.0,
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"torch_dtype": null,
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"torchscript": false,
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"transformers_version": "4.32.0.dev0",
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"typical_p": 1.0,
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"use_bfloat16": false
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},
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"auto_map": {
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"AutoConfig": "mosaicml/mpt-7b--configuration_mpt.MPTConfig",
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"AutoModelForCausalLM": "mosaicml/mpt-7b--modeling_mpt.MPTForCausalLM"
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},
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"d_model": 4096,
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"emb_pdrop": 0,
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"embedding_fraction": 1.0,
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"expansion_ratio": 4,
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"init_config": {
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"emb_init_std": null,
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"emb_init_uniform_lim": null,
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"fan_mode": "fan_in",
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"init_div_is_residual": true,
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"init_gain": 0,
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"init_nonlinearity": "relu",
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"init_std": 0.02,
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"name": "kaiming_normal_",
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"verbose": 0
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},
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"init_device": "cpu",
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"learned_pos_emb": true,
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"logit_scale": null,
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"max_seq_len": 2048,
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"model_type": "mpt",
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"n_heads": 32,
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"n_layers": 32,
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"no_bias": true,
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"norm_type": "low_precision_layernorm",
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"resid_pdrop": 0,
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"tokenizer_name": "EleutherAI/gpt-neox-20b",
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"torch_dtype": "bfloat16",
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"transformers_version": "4.28.1",
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"use_cache": false,
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"verbose": 0,
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"vocab_size": 50432
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}
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generation_config.json
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{
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"transformers_version": "4.32.0.dev0",
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"use_cache": false
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}
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pytorch_model-00001-of-00007.bin
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pytorch_model-00002-of-00007.bin
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pytorch_model-00003-of-00007.bin
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pytorch_model-00004-of-00007.bin
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pytorch_model-00005-of-00007.bin
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pytorch_model-00006-of-00007.bin
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pytorch_model.bin.index.json
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{
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