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Browse files- config.json +38 -0
- generation_config.json +6 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +5 -0
- tokenizer.json +0 -0
- tokenizer_config.json +9 -0
- vocab.json +0 -0
config.json
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{
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"_name_or_path": "tiiuae/falcon-rw-1b",
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"alibi": true,
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"apply_residual_connection_post_layernorm": false,
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"architectures": [
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"FalconForCausalLM"
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],
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"attention_dropout": 0.0,
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"auto_map": {
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"AutoConfig": "tiiuae/falcon-rw-1b--configuration_falcon.FalconConfig",
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"AutoModel": "tiiuae/falcon-rw-1b--modeling_falcon.FalconModel",
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"AutoModelForCausalLM": "tiiuae/falcon-rw-1b--modeling_falcon.FalconForCausalLM",
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"AutoModelForQuestionAnswering": "tiiuae/falcon-rw-1b--modeling_falcon.FalconForQuestionAnswering",
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"AutoModelForSequenceClassification": "tiiuae/falcon-rw-1b--modeling_falcon.FalconForSequenceClassification",
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"AutoModelForTokenClassification": "tiiuae/falcon-rw-1b--modeling_falcon.FalconForTokenClassification"
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},
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"bias": 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": 2048,
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"max_position_embeddings": 2048,
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"model_type": "falcon",
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"multi_query": false,
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"new_decoder_architecture": false,
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"num_attention_heads": 32,
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"num_hidden_layers": 24,
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"num_kv_heads": 32,
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"parallel_attn": false,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"torch_dtype": "float16",
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"transformers_version": "4.33.2",
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"use_cache": true,
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"vocab_size": 50304
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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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"transformers_version": "4.33.2"
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}
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merges.txt
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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:b92cbda3506fba3ce68aebc048b451898570ed9a4fd6429808e740c37cd96083
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size 2623344793
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special_tokens_map.json
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{
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"bos_token": "<|endoftext|>",
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"eos_token": "<|endoftext|>",
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"unk_token": "<|endoftext|>"
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}
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tokenizer.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"bos_token": "<|endoftext|>",
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"clean_up_tokenization_spaces": true,
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"eos_token": "<|endoftext|>",
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"model_max_length": 1024,
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"tokenizer_class": "GPT2Tokenizer",
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"unk_token": "<|endoftext|>"
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}
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vocab.json
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