From ae1c77a6692e54463441e09889ef4049777a1763 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Thu, 14 May 2026 09:11:03 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: GreatCaptainNemo/ProLLaMA Source: Original Platform --- .gitattributes | 35 ++++ README.md | 145 ++++++++++++++ config.json | 25 +++ generation_config.json | 7 + model-00001-of-00002.safetensors | 3 + model-00002-of-00002.safetensors | 3 + model.safetensors.index.json | 330 +++++++++++++++++++++++++++++++ pytorch_model-00001-of-00002.bin | 3 + pytorch_model-00002-of-00002.bin | 3 + pytorch_model.bin.index.json | 330 +++++++++++++++++++++++++++++++ special_tokens_map.json | 30 +++ tokenizer.model | 3 + tokenizer_config.json | 42 ++++ 13 files changed, 959 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 config.json create mode 100644 generation_config.json create mode 100644 model-00001-of-00002.safetensors create mode 100644 model-00002-of-00002.safetensors create mode 100644 model.safetensors.index.json create mode 100644 pytorch_model-00001-of-00002.bin create mode 100644 pytorch_model-00002-of-00002.bin create mode 100644 pytorch_model.bin.index.json create mode 100644 special_tokens_map.json create mode 100644 tokenizer.model create mode 100644 tokenizer_config.json diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..a6344aa --- /dev/null +++ b/.gitattributes @@ -0,0 +1,35 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..8a4e9c2 --- /dev/null +++ b/README.md @@ -0,0 +1,145 @@ +--- +license: apache-2.0 +library_name: transformers +pipeline_tag: text-generation +--- + +# ProLLaMA: A Protein Large Language Model for Multi-Task Protein Language Processing + +[Paper on arxiv](https://arxiv.org/abs/2402.16445) for more information + +[Github](https://github.com/Lyu6PosHao/ProLLaMA) for more information + +ProLLaMA is based on Llama-2-7b, so please follow the license of Llama2. + +# Input Format: +The instructions which you input to the model should follow the following format: +```text +[Generate by superfamily] Superfamily= +or +[Determine superfamily] Seq= +``` +Here are some examples of the input: +```text +[Generate by superfamily] Superfamily= +``` +``` +#You can also specify the first few amino acids of the protein sequence: +[Generate by superfamily] Superfamily= Seq= +``` +**See [this](https://github.com/Lyu6PosHao/ProLLaMA/blob/main/superfamilies.txt) on all the optional superfamilies.** + +# Quick usage: +```bash +# you can replace the model_path with your local path +CUDA_VISIBLE_DEVICES=0 python main.py --model "GreatCaptainNemo/ProLLaMA" --interactive +# main.py is as follows 👇: +``` + +```python +import argparse +import json, os +import torch +from transformers import LlamaForCausalLM, LlamaTokenizer +from transformers import GenerationConfig +from tqdm import tqdm + +generation_config = GenerationConfig( + temperature=0.2, + top_k=40, + top_p=0.9, + do_sample=True, + num_beams=1, + repetition_penalty=1.2, + max_new_tokens=400 +) + +parser = argparse.ArgumentParser() +parser.add_argument('--model', default=None, type=str,help="The local path of the model. If None, the model will be downloaded from HuggingFace") +parser.add_argument('--interactive', action='store_true',help="If True, you can input instructions interactively. If False, the input instructions should be in the input_file.") +parser.add_argument('--input_file', default=None, help="You can put all your input instructions in this file (one instruction per line).") +parser.add_argument('--output_file', default=None, help="All the outputs will be saved in this file.") +args = parser.parse_args() + +if __name__ == '__main__': + if args.interactive and args.input_file: + raise ValueError("interactive is True, but input_file is not None.") + if (not args.interactive) and (args.input_file is None): + raise ValueError("interactive is False, but input_file is None.") + if args.input_file and (args.output_file is None): + raise ValueError("input_file is not None, but output_file is None.") + + load_type = torch.bfloat16 + if torch.cuda.is_available(): + device = torch.device(0) + else: + raise ValueError("No GPU available.") + + + model = LlamaForCausalLM.from_pretrained( + args.model, + torch_dtype=load_type, + low_cpu_mem_usage=True, + device_map='auto', + quantization_config=None + ) + tokenizer = LlamaTokenizer.from_pretrained(args.model) + + model.eval() + with torch.no_grad(): + if args.interactive: + while True: + raw_input_text = input("Input:") + if len(raw_input_text.strip())==0: + break + input_text = raw_input_text + input_text = tokenizer(input_text,return_tensors="pt") + + generation_output = model.generate( + input_ids = input_text["input_ids"].to(device), + attention_mask = input_text['attention_mask'].to(device), + eos_token_id=tokenizer.eos_token_id, + pad_token_id=tokenizer.pad_token_id, + generation_config = generation_config, + output_attentions=False + ) + s = generation_output[0] + output = tokenizer.decode(s,skip_special_tokens=True) + print("Output:",output) + print("\n") + else: + outputs=[] + with open(args.input_file, 'r') as f: + examples =f.read().splitlines() + print("Start generating...") + for index, example in tqdm(enumerate(examples),total=len(examples)): + input_text = tokenizer(example,return_tensors="pt") #add_special_tokens=False ? + + generation_output = model.generate( + input_ids = input_text["input_ids"].to(device), + attention_mask = input_text['attention_mask'].to(device), + eos_token_id=tokenizer.eos_token_id, + pad_token_id=tokenizer.pad_token_id, + generation_config = generation_config + ) + s = generation_output[0] + output = tokenizer.decode(s,skip_special_tokens=True) + outputs.append(output) + with open(args.output_file,'w') as f: + f.write("\n".join(outputs)) + print("All the outputs have been saved in",args.output_file) +``` + +# Citation: +``` +@article{lv2025prollama, + title={Prollama: A protein large language model for multi-task protein language processing}, + author={Lv, Liuzhenghao and Lin, Zongying and Li, Hao and Liu, Yuyang and Cui, Jiaxi and Chen, Calvin Yu-Chian and Yuan, Li and Tian, Yonghong}, + journal={IEEE Transactions on Artificial Intelligence}, + year={2025}, + publisher={IEEE} +} +``` \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..17903ab --- /dev/null +++ b/config.json @@ -0,0 +1,25 @@ +{ + "architectures": [ + "LlamaForCausalLM" + ], + "bos_token_id": 1, + "eos_token_id": 2, + "hidden_act": "silu", + "hidden_size": 4096, + "initializer_range": 0.02, + "intermediate_size": 11008, + "max_position_embeddings": 4096, + "model_type": "llama", + "num_attention_heads": 32, + "num_hidden_layers": 32, + "num_key_value_heads": 32, + "pad_token_id": 0, + "pretraining_tp": 1, + "rms_norm_eps": 1e-05, + "rope_scaling": null, + "tie_word_embeddings": false, + "torch_dtype": "float16", + "transformers_version": "4.31.0", + "use_cache": true, + "vocab_size": 32000 +} \ No newline at end of file diff --git a/generation_config.json b/generation_config.json new file mode 100644 index 0000000..de5b5ba --- /dev/null +++ b/generation_config.json @@ -0,0 +1,7 @@ +{ + "_from_model_config": true, + "bos_token_id": 1, + "eos_token_id": 2, + "pad_token_id": 0, + 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