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@ -59,7 +59,6 @@ https://github.com/hiyouga/LLaMA-Factory/assets/16256802/6ba60acc-e2e2-4bec-b846
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| [Baichuan2](https://github.com/baichuan-inc/Baichuan2) | 7B/13B | W_pack | baichuan2 |
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| [InternLM](https://github.com/InternLM/InternLM) | 7B/20B | q_proj,v_proj | intern |
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| [Qwen](https://github.com/QwenLM/Qwen-7B) | 7B/14B | c_attn | chatml |
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| [XVERSE](https://github.com/xverse-ai/XVERSE-13B) | 13B | q_proj,v_proj | xverse |
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| [ChatGLM2](https://github.com/THUDM/ChatGLM2-6B) | 6B | query_key_value | chatglm2 |
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| [Phi-1.5](https://huggingface.co/microsoft/phi-1_5) | 1.3B | Wqkv | - |
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@ -67,6 +66,8 @@ https://github.com/hiyouga/LLaMA-Factory/assets/16256802/6ba60acc-e2e2-4bec-b846
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> **Default module** is used for the `--lora_target` argument, you can use `--lora_target all` to specify all the available modules.
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>
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> For the "base" models, the `--template` argument can be chosen from `default`, `alpaca`, `vicuna` etc. But make sure to use the **corresponding template** for the "chat" models.
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>
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> Please refer to [template.py](src/llmtuner/extras/template.py) for a full list of models we supported.
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## Supported Training Approaches
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@ -443,7 +444,7 @@ CUDA_VISIBLE_DEVICES=0 python src/train_bash.py \
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This repository is licensed under the [Apache-2.0 License](LICENSE).
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Please follow the model licenses to use the corresponding model weights: [LLaMA](https://github.com/facebookresearch/llama/blob/main/MODEL_CARD.md) / [LLaMA-2](https://ai.meta.com/llama/license/) / [BLOOM](https://huggingface.co/spaces/bigscience/license) / [Falcon](LICENSE) / [Baichuan](https://huggingface.co/baichuan-inc/baichuan-7B/resolve/main/baichuan-7B%20%E6%A8%A1%E5%9E%8B%E8%AE%B8%E5%8F%AF%E5%8D%8F%E8%AE%AE.pdf) / [Baichuan2](https://huggingface.co/baichuan-inc/Baichuan2-7B-Base/resolve/main/Baichuan%202%E6%A8%A1%E5%9E%8B%E7%A4%BE%E5%8C%BA%E8%AE%B8%E5%8F%AF%E5%8D%8F%E8%AE%AE.pdf) / [InternLM](https://github.com/InternLM/InternLM#open-source-license) / [Qwen](https://huggingface.co/Qwen/Qwen-7B-Chat/blob/main/LICENSE) / [XVERSE](https://github.com/xverse-ai/XVERSE-13B/blob/main/MODEL_LICENSE.pdf) / [ChatGLM2](https://github.com/THUDM/ChatGLM2-6B/blob/main/MODEL_LICENSE) / [Phi-1.5](https://huggingface.co/microsoft/phi-1_5/resolve/main/Research%20License.docx)
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Please follow the model licenses to use the corresponding model weights: [LLaMA](https://github.com/facebookresearch/llama/blob/main/MODEL_CARD.md) / [LLaMA-2](https://ai.meta.com/llama/license/) / [BLOOM](https://huggingface.co/spaces/bigscience/license) / [Falcon](LICENSE) / [Baichuan](https://huggingface.co/baichuan-inc/baichuan-7B/resolve/main/baichuan-7B%20%E6%A8%A1%E5%9E%8B%E8%AE%B8%E5%8F%AF%E5%8D%8F%E8%AE%AE.pdf) / [Baichuan2](https://huggingface.co/baichuan-inc/Baichuan2-7B-Base/resolve/main/Baichuan%202%E6%A8%A1%E5%9E%8B%E7%A4%BE%E5%8C%BA%E8%AE%B8%E5%8F%AF%E5%8D%8F%E8%AE%AE.pdf) / [InternLM](https://github.com/InternLM/InternLM#open-source-license) / [Qwen](https://huggingface.co/Qwen/Qwen-7B-Chat/blob/main/LICENSE) / [ChatGLM2](https://github.com/THUDM/ChatGLM2-6B/blob/main/MODEL_LICENSE) / [Phi-1.5](https://huggingface.co/microsoft/phi-1_5/resolve/main/Research%20License.docx)
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## Citation
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@ -59,7 +59,6 @@ https://github.com/hiyouga/LLaMA-Factory/assets/16256802/6ba60acc-e2e2-4bec-b846
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| [Baichuan2](https://github.com/baichuan-inc/Baichuan2) | 7B/13B | W_pack | baichuan2 |
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| [InternLM](https://github.com/InternLM/InternLM) | 7B/20B | q_proj,v_proj | intern |
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| [Qwen](https://github.com/QwenLM/Qwen-7B) | 7B/14B | c_attn | chatml |
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| [XVERSE](https://github.com/xverse-ai/XVERSE-13B) | 13B | q_proj,v_proj | xverse |
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| [ChatGLM2](https://github.com/THUDM/ChatGLM2-6B) | 6B | query_key_value | chatglm2 |
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| [Phi-1.5](https://huggingface.co/microsoft/phi-1_5) | 1.3B | Wqkv | - |
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@ -67,6 +66,8 @@ https://github.com/hiyouga/LLaMA-Factory/assets/16256802/6ba60acc-e2e2-4bec-b846
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> **默认模块**应作为 `--lora_target` 参数的默认值,可使用 `--lora_target all` 参数指定全部模块。
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>
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> 对于所有“基座”(Base)模型,`--template` 参数可以是 `default`, `alpaca`, `vicuna` 等任意值。但“对话”(Chat)模型请务必使用**对应的模板**。
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>
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> 项目所支持模型的完整列表请参阅 [template.py](src/llmtuner/extras/template.py)。
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## 训练方法
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@ -442,7 +443,7 @@ CUDA_VISIBLE_DEVICES=0 python src/train_bash.py \
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本仓库的代码依照 [Apache-2.0](LICENSE) 协议开源。
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使用模型权重时,请遵循对应的模型协议:[LLaMA](https://github.com/facebookresearch/llama/blob/main/MODEL_CARD.md) / [LLaMA-2](https://ai.meta.com/llama/license/) / [BLOOM](https://huggingface.co/spaces/bigscience/license) / [Falcon](LICENSE) / [Baichuan](https://huggingface.co/baichuan-inc/baichuan-7B/resolve/main/baichuan-7B%20%E6%A8%A1%E5%9E%8B%E8%AE%B8%E5%8F%AF%E5%8D%8F%E8%AE%AE.pdf) / [Baichuan2](https://huggingface.co/baichuan-inc/Baichuan2-7B-Base/resolve/main/Baichuan%202%E6%A8%A1%E5%9E%8B%E7%A4%BE%E5%8C%BA%E8%AE%B8%E5%8F%AF%E5%8D%8F%E8%AE%AE.pdf) / [InternLM](https://github.com/InternLM/InternLM#open-source-license) / [Qwen](https://huggingface.co/Qwen/Qwen-7B-Chat/blob/main/LICENSE) / [XVERSE](https://github.com/xverse-ai/XVERSE-13B/blob/main/MODEL_LICENSE.pdf) / [ChatGLM2](https://github.com/THUDM/ChatGLM2-6B/blob/main/MODEL_LICENSE) / [Phi-1.5](https://huggingface.co/microsoft/phi-1_5/resolve/main/Research%20License.docx)
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使用模型权重时,请遵循对应的模型协议:[LLaMA](https://github.com/facebookresearch/llama/blob/main/MODEL_CARD.md) / [LLaMA-2](https://ai.meta.com/llama/license/) / [BLOOM](https://huggingface.co/spaces/bigscience/license) / [Falcon](LICENSE) / [Baichuan](https://huggingface.co/baichuan-inc/baichuan-7B/resolve/main/baichuan-7B%20%E6%A8%A1%E5%9E%8B%E8%AE%B8%E5%8F%AF%E5%8D%8F%E8%AE%AE.pdf) / [Baichuan2](https://huggingface.co/baichuan-inc/Baichuan2-7B-Base/resolve/main/Baichuan%202%E6%A8%A1%E5%9E%8B%E7%A4%BE%E5%8C%BA%E8%AE%B8%E5%8F%AF%E5%8D%8F%E8%AE%AE.pdf) / [InternLM](https://github.com/InternLM/InternLM#open-source-license) / [Qwen](https://huggingface.co/Qwen/Qwen-7B-Chat/blob/main/LICENSE) / [ChatGLM2](https://github.com/THUDM/ChatGLM2-6B/blob/main/MODEL_LICENSE) / [Phi-1.5](https://huggingface.co/microsoft/phi-1_5/resolve/main/Research%20License.docx)
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## 引用
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@ -84,10 +84,12 @@ def batch_inference(
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prefix_char: str
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) -> List[str]:
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logits = chat_model.model(**batch_input).logits
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lengths = torch.sum(batch_input["attention_mask"], dim=-1)
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nextword_logits = torch.stack([logits[i, lengths[i] - 1] for i in range(len(lengths))], dim=0)
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probs = torch.nn.functional.softmax(
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torch.stack(
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[
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logits[:, -1, chat_model.tokenizer.encode(prefix_char + choice, add_special_tokens=False)[-1]]
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nextword_logits[:, chat_model.tokenizer.encode(prefix_char + choice, add_special_tokens=False)[-1]]
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for choice in choices
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],
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dim=-1
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@ -120,8 +122,8 @@ def evaluate(
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checkpoint_dir=checkpoint_dir,
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template=template
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))
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chat_model.tokenizer.padding_side = "left" # avoid overflow issue in batched inference for llama2
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eval_template = eval_templates[lang]
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assert chat_model.tokenizer.padding_side == "left", "only left-padded tensor can be accepted."
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category_corrects: Dict[str, np.ndarray] = {
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subj: np.array([], dtype="bool") for subj in ["Average", "STEM", "Social Sciences", "Humanities", "Other"]
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@ -289,8 +289,8 @@ register_template(
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r"""
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Supports: https://github.com/ymcui/Chinese-LLaMA-Alpaca-2
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https://huggingface.co/ziqingyang/chinese-alpaca-2-7b
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Supports: https://huggingface.co/ziqingyang/chinese-alpaca-2-7b
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https://huggingface.co/ziqingyang/chinese-alpaca-2-13b
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"""
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register_template(
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name="llama2_zh",
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@ -307,7 +307,6 @@ register_template(
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r"""
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Supports: https://huggingface.co/tatsu-lab/alpaca-7b-wdiff
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https://github.com/ymcui/Chinese-LLaMA-Alpaca
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"""
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register_template(
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name="alpaca",
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@ -328,8 +327,8 @@ register_template(
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r"""
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Supports: https://huggingface.co/lmsys/vicuna-7b-delta-v1.1
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https://huggingface.co/lmsys/vicuna-13b-delta-v1.1
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Supports: https://huggingface.co/lmsys/vicuna-7b-v1.5
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https://huggingface.co/lmsys/vicuna-13b-v1.5
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"""
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register_template(
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name="vicuna",
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@ -365,44 +364,9 @@ register_template(
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)
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r"""
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Supports: https://github.com/CVI-SZU/Linly
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"""
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register_template(
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name="linly",
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prefix=[
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"{{system}}"
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],
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prompt=[
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"User: {{query}}\nBot: "
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],
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system="",
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sep=[
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"\n"
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]
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)
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r"""
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Supports: https://github.com/Neutralzz/BiLLa
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"""
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register_template(
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name="billa",
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prefix=[
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"{{system}}"
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],
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prompt=[
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"Human: {{query}}\nAssistant: "
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],
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system="",
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sep=[
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"\n"
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]
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)
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r"""
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Supports: https://huggingface.co/IDEA-CCNL/Ziya-LLaMA-13B-v1
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https://huggingface.co/IDEA-CCNL/Ziya2-13B-Chat
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"""
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register_template(
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name="ziya",
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@ -424,6 +388,8 @@ register_template(
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r"""
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Supports: https://huggingface.co/BAAI/AquilaChat-7B
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https://huggingface.co/BAAI/AquilaChat2-7B
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https://huggingface.co/BAAI/AquilaChat2-34B
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"""
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register_template(
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name="aquila",
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r"""
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Supports: https://huggingface.co/internlm/internlm-chat-7b
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https://huggingface.co/internlm/internlm-chat-20b
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"""
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register_template(
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name="intern",
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@ -542,6 +509,7 @@ register_template(
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r"""
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Supports: https://huggingface.co/Qwen/Qwen-7B-Chat
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https://huggingface.co/Qwen/Qwen-14B-Chat
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"""
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register_template(
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name="chatml",
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@ -591,7 +559,29 @@ register_template(
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r"""
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Supports: https://huggingface.co/xverse/XVERSE-13B-Chat
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Supports: https://huggingface.co/openchat/openchat_v3.2_super
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"""
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register_template(
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name="openchat",
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prefix=[
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"{{system}}"
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],
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prompt=[
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"GPT4 User: {{query}}",
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{"token": "<|end_of_turn|>"},
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"GPT4 Assistant: "
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],
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system="",
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sep=[
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{"token": "<|end_of_turn|>"}
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],
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efficient_eos=True
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)
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r"""
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Supports: https://huggingface.co/xverse/XVERSE-7B-Chat
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https://huggingface.co/xverse/XVERSE-13B-Chat
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"""
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register_template(
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name="xverse",
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with open(os.path.join(self.dataset_dir, "dataset_info.json"), "r") as f:
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dataset_info = json.load(f)
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except Exception:
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if self.dataset is not None:
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raise ValueError("Cannot find dataset_info.json in `dataset_dir`.")
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dataset_info = None
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prompt_list = self.system_prompt.split("|") if self.system_prompt else [None]
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