changge

README.md

@@ -1,81 +0,0 @@
----
-license: mit
-pipeline_tag: text-generation
-tags:
-- ocean
-- text-generation-inference
-- oceangpt
-language:
-- en
-datasets:
-- zjunlp/OceanBench
----
-
-## 💡 Model description
-This repo contains a large language model (OceanGPT) for ocean  science tasks trained with [KnowLM](https://github.com/zjunlp/KnowLM). 
-It should be noted that the OceanGPT is constantly being updated, so the current model is not the final version.
-
-OceanGPT-7B-v0.2 is based on Qwen2-7B and trained on a bilingual dataset in Chinese and English.
-## 🔍 Intended uses
-You can download the model to generate responses or contact the [email](bizhen_zju@zju.edu.cn) for the online test demo.
-
-## 🛠️ How to use OceanGPT
-We wil provide several examples soon and you can modify the input according to your needs.
-
-```python
-from transformers import AutoModelForCausalLM, AutoTokenizer
-import torch
-device = "cuda" # the device to load the model onto
-
-model = AutoModelForCausalLM.from_pretrained(
-    "zjunlp/OceanGPT-7B-v0.2",
-    torch_dtype=torch.bfloat16,
-    device_map="auto"
-)
-tokenizer = AutoTokenizer.from_pretrained("zjunlp/OceanGPT-7B-v0.2")
-
-prompt = "Which is the largest ocean in the world?"
-messages = [
-    {"role": "system", "content": "You are a helpful assistant."},
-    {"role": "user", "content": prompt}
-]
-text = tokenizer.apply_chat_template(
-    messages,
-    tokenize=False,
-    add_generation_prompt=True
-)
-model_inputs = tokenizer([text], return_tensors="pt").to(device)
-
-generated_ids = model.generate(
-    model_inputs.input_ids,
-    max_new_tokens=512
-)
-generated_ids = [
-    output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
-]
-
-response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
-```
-
-## 🛠️ How to evaluate your model in OceanBench
-
-We wil provide several examples soon and you can modify the input according to your needs.
-
-*Note: We are conducting the final checks on OceanBench and will be uploading it to Hugging Face soon. 
-
-```python
->>> from datasets import load_dataset
-
->>> dataset = load_dataset("zjunlp/OceanBench")
-```
-
-## 📚 How to cite
-
-```bibtex
-@article{bi2023oceangpt,
-  title={OceanGPT: A Large Language Model for Ocean Science Tasks},
-  author={Bi, Zhen and Zhang, Ningyu and Xue, Yida and Ou, Yixin and Ji, Daxiong and Zheng, Guozhou and Chen, Huajun},
-  journal={arXiv preprint arXiv:2310.02031},
-  year={2023}
-}
-```

added_tokens.json

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config.json

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-{
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-  "architectures": [
-    "Qwen2ForCausalLM"
-  ],
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-  "transformers_version": "4.40.2",
-  "use_cache": true,
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-  "vocab_size": 152064
-}

generation_config.json

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special_tokens_map.json

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-{
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-    "<|im_start|>",
-    "<|im_end|>"
-  ],
-  "eos_token": {
-    "content": "<|im_end|>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
-  "pad_token": {
-    "content": "<|endoftext|>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  }
-}

tokenizer_config.json

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-{
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-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "151644": {
-      "content": "<|im_start|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "151645": {
-      "content": "<|im_end|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    }
-  },
-  "additional_special_tokens": [
-    "<|im_start|>",
-    "<|im_end|>"
-  ],
-  "bos_token": null,
-  "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
-  "clean_up_tokenization_spaces": false,
-  "eos_token": "<|im_end|>",
-  "errors": "replace",
-  "model_max_length": 131072,
-  "pad_token": "<|endoftext|>",
-  "split_special_tokens": false,
-  "tokenizer_class": "Qwen2Tokenizer",
-  "unk_token": null
-}