chainyo
commited on
Commit
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Parent(s):
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add model weights
Browse files- README.md +20 -0
- config.json +23 -0
- generation_config.json +7 -0
- pytorch_model-00001-of-00039.bin +3 -0
- pytorch_model-00002-of-00039.bin +3 -0
- pytorch_model-00003-of-00039.bin +3 -0
- pytorch_model-00004-of-00039.bin +3 -0
- pytorch_model-00005-of-00039.bin +3 -0
- pytorch_model-00006-of-00039.bin +3 -0
- pytorch_model-00007-of-00039.bin +3 -0
- pytorch_model-00008-of-00039.bin +3 -0
- pytorch_model-00009-of-00039.bin +3 -0
- pytorch_model-00010-of-00039.bin +3 -0
- pytorch_model-00011-of-00039.bin +3 -0
- pytorch_model-00012-of-00039.bin +3 -0
- pytorch_model-00013-of-00039.bin +3 -0
- pytorch_model-00014-of-00039.bin +3 -0
- pytorch_model-00015-of-00039.bin +3 -0
- pytorch_model-00016-of-00039.bin +3 -0
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- pytorch_model-00018-of-00039.bin +3 -0
- pytorch_model-00019-of-00039.bin +3 -0
- pytorch_model-00020-of-00039.bin +3 -0
- pytorch_model-00021-of-00039.bin +3 -0
- pytorch_model-00022-of-00039.bin +3 -0
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- pytorch_model-00039-of-00039.bin +3 -0
- pytorch_model.bin.index.json +330 -0
README.md
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# Alpaca LoRa 7B
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This repository contains a LLaMA-7B fine-tuned model on the [Standford Alpaca](https://github.com/tatsu-lab/stanford_alpaca) cleaned version dataset.
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I used [LLaMA-7B-hf](decapoda-research/llama-7b-hf) as a base model
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# Usage
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## Using the model
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```python
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from transformers import LlamaTokenizer, LlamaForCausalLM,
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tokenizer = LlamaTokenizer.from_pretrained("decapoda-research/alpaca-lora-7b")
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model = LlamaForCausalLM.from_pretrained(
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"chainyo/alpaca-lora-7b",
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load_in_8bit=True,
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torch_dtype=torch.float16,
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device_map="auto",
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)
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config.json
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{
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"_name_or_path": "decapoda-research/llama-7b-hf",
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"architectures": [
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"LlamaForCausalLM"
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],
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"bos_token_id": 0,
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"eos_token_id": 1,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"max_sequence_length": 2048,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"pad_token_id": -1,
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"rms_norm_eps": 1e-06,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.28.0.dev0",
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"use_cache": true,
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"vocab_size": 32000
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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": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.28.0.dev0"
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}
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