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Model: AI-ModelScope/SeaLLM-7B-chat
Source: Original Platform

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README.md

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+---
+license: other
+license_name: seallms
+license_link: https://huggingface.co/SeaLLMs/SeaLLM-Chat-13b/blob/main/LICENSE
+extra_gated_prompt: >-
+  You agree to not use the models for any harmful, inappropriate, unethical or
+  illegal purpose or intention. You agree to perform your own red teaming and
+  provide related safety and security measures before deployment for any product
+  relevant to our models and demos, and you must abide by and comply with local
+  governance and regulations. In no event shall the models' authors be held
+  liable for any claim, damages, or other liability arising from the use of the
+  released weights, codes, or demos. The models and demos may be subject to
+  export controls or restrictions in the United States or other countries or
+  regions. You shall comply with applicable laws and regulations in your use of
+  the demos.
+extra_gated_fields:
+  Company: text
+  Country: text
+  I agree to use this model for non-commercial use ONLY: checkbox
+language:
+- en
+- vi
+- id
+- ms
+- th
+- km
+- lo
+- my
+- tl
+- zh
+---
+<p align="center">
+  <img src="seal_logo.png" width="200" />
+</p>
+
+# SeaLLMs - Large Language Models for Southeast Asia
+
+
+<p align="center">
+<a href="https://huggingface.co/SeaLLMs/SeaLLM-Chat-13b" target="_blank" rel="noopener"> 🤗 Tech Memo</a>
+&nbsp;&nbsp;
+<a href="https://huggingface.co/spaces/SeaLLMs/SeaLLM-Chat-13b" target="_blank" rel="noopener"> 🤗 DEMO</a>
+&nbsp;&nbsp;
+<a href="https://github.com/DAMO-NLP-SG/SeaLLMs" target="_blank" rel="noopener">Github</a>
+&nbsp;&nbsp;
+<a href="https://arxiv.org/pdf/2312.00738.pdf" target="_blank" rel="noopener">Technical Report</a>
+</p>
+
+## SeaLLM-chat-7B
+
+This a **7B Chat** version of SeaLLMs. It Vietnamese 🇻🇳, Indonesian 🇮🇩, Thai 🇹🇭, Malay 🇲🇾, Khmer 🇰🇭, Lao 🇱🇦, Tagalog 🇵🇭 and Burmese 🇲🇲. 
+It may have lower capability than the 13B models but it is much more memory-efficient and faster.
+
+Visit our <a href="https://arxiv.org/pdf/2312.00738.pdf" target="_blank" rel="noopener">Technical Report</a> and <a href="https://huggingface.co/SeaLLMs/SeaLLM-Chat-13b" target="_blank" rel="noopener"> 🤗 Tech Memo</a> for more details.
+
+<blockquote style="color:red">
+<p><strong style="color: red">Terms of Use and License</strong>: 
+By using our released weights, codes, and demos, you agree to and comply with the terms and conditions specified in our <a href="https://huggingface.co/SeaLLMs/SeaLLM-Chat-13b/edit/main/LICENSE" target="_blank" rel="noopener">SeaLLMs Terms Of Use</a>.
+</blockquote>
+
+> **Disclaimer**:
+> We must note that even though the weights, codes, and demos are released in an open manner, similar to other pre-trained language models, and despite our best efforts in red teaming and safety fine-tuning and enforcement, our models come with potential risks, including but not limited to inaccurate, misleading or potentially harmful generation.
+> Developers and stakeholders should perform their own red teaming and provide related security measures before deployment, and they must abide by and comply with local governance and regulations.
+> In no event shall the authors be held liable for any claim, damages, or other liability arising from the use of the released weights, codes, or demos.
+
+> The logo was generated by DALL-E 3.
+
+## 示例代码:
+
+SeaLLM models work the same way as Llama-2, so the Llama-2 generation codebase should be sufficient to run. 
+However, as this is a chat model, you should wrap the prompt/instruction using the following format function.
+
+You should also turn off add_special_tokens with `tokenizer.add_special_tokens = False`.
+
+```python
+from modelscope import AutoTokenizer,Model
+from modelscope import snapshot_download
+import torch 
+from typing import List, Tuple
+
+BOS_TOKEN = '<s>'
+EOS_TOKEN = '</s>'
+
+B_INST, E_INST = "[INST]", "[/INST]"
+B_SYS, E_SYS = "<<SYS>>\n", "\n<</SYS>>\n\n"
+
+SYSTEM_PROMPT = """You are a multilingual, helpful, respectful and honest assistant. \
+Please always answer as helpfully as possible, while being safe. Your \
+answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure \
+that your responses are socially unbiased and positive in nature.
+
+If a question does not make any sense, or is not factually coherent, explain why instead of answering something not \
+correct. If you don't know the answer to a question, please don't share false information.
+
+As a multilingual assistant, you must respond and follow instructions in the native language of the user by default, unless told otherwise. \
+Your response should adapt to the norms and customs of the respective language and culture.
+"""
+
+def chat_multiturn_seq_format(
+    message: str,
+    history: List[Tuple[str, str]] = [], 
+):
+    """
+    ```
+        <bos>[INST] B_SYS SytemPrompt E_SYS Prompt [/INST] Answer <eos>
+        <bos>[INST] Prompt [/INST] Answer <eos>
+        <bos>[INST] Prompt [/INST]
+    ```
+    As the format auto-add <bos>, please turn off add_special_tokens with `tokenizer.add_special_tokens = False`
+    Inputs:
+      message: the current prompt
+      history: list of list indicating previous conversation. [[message1, response1], [message2, response2]]
+    Outputs:
+      full_prompt: the prompt that should go into the chat model
+
+    e.g:
+      full_prompt = chat_multiturn_seq_format("Hello world")
+      output = model.generate(tokenizer.encode(full_prompt, add_special_tokens=False), ...)
+    """
+    text = ''
+    for i, (prompt, res) in enumerate(history):
+        if i == 0:
+            text += f"{BOS_TOKEN}{B_INST} {B_SYS} {SYSTEM_PROMPT} {E_SYS} {prompt} {E_INST}"
+        else:
+            text += f"{BOS_TOKEN}{B_INST} {prompt}{end_instr}"
+        if res is not None:
+            text += f" {res} {EOS_TOKEN} "
+    if len(history) == 0 or text.strip() == '':
+        text = f"{BOS_TOKEN}{B_INST} {B_SYS} {SYSTEM_PROMPT} {E_SYS} {message} {E_INST}"
+    else:
+        text += f"{BOS_TOKEN}{B_INST} {message} {E_INST}"
+    return text
+
+local_dir = snapshot_download("AI-ModelScope/SeaLLM-7B-chat",revision='master')
+
+model = Model.from_pretrained(local_dir, revision='master', device_map='auto', torch_dtype=torch.float16)
+tokenizer = AutoTokenizer.from_pretrained(local_dir, revision='master')
+
+full_prompt = chat_multiturn_seq_format("Hello world")
+inputs = tokenizer(full_prompt, add_special_tokens=False, return_tensors="pt")
+# Generate
+generate_ids = model.generate(inputs.input_ids.to(model.device),  max_length=512,do_sample=True,top_k=10,num_return_sequences=1)
+print(tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0])
+```
+
+
+## Citation
+
+If you find our project useful, we hope you would kindly star our repo and cite our work as follows: Corresponding Author: [l.bing@alibaba-inc.com](mailto:l.bing@alibaba-inc.com)
+
+```
+@article{damonlpsg2023seallm,
+  author = {Xuan-Phi Nguyen*, Wenxuan Zhang*, Xin Li*, Mahani Aljunied*,
+            Qingyu Tan, Liying Cheng, Guanzheng Chen, Yue Deng, Sen Yang,
+            Chaoqun Liu, Hang Zhang, Lidong Bing},
+  title = {SeaLLMs - Large Language Models for Southeast Asia},
+  year = 2023,
+  Eprint = {arXiv:2312.00738},
+}
+```

config.json

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+{
+  "_name_or_path": "/mnt/workspace/workgroup/phi/hf_train/pretrain_lm/dpo/seallm7b10L7k_a_seaall_sft4x_1_3_dpo_8/step-80000",
+  "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,
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+  "pretraining_tp": 1,
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+  "rope_scaling": null,
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+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.31.0.dev0",
+  "use_cache": true,
+  "vocab_size": 48512
+}

configuration.json

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+{"framework":"Pytorch","task":"text-generation"}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.31.0.dev0"
+}

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+size 786611

tokenizer_config.json

@@ -0,0 +1,31 @@
+{
+  "bos_token": {
+    "__type": "AddedToken",
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "clean_up_tokenization_spaces": false,
+  "eos_token": {
+    "__type": "AddedToken",
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": null,
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": {
+    "__type": "AddedToken",
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}