TemplateError: Conversation roles must alternate user/assistant/user/assistant/... 这个错误是由于Mistral本身不支持system prompt导致的。 查看tokenizer.apply_chat_template的源码,可以看到默认的chat template是这样的: python def default_chat_template(self): """ This template formats inputs in the standard...
Reminder I have read the README and searched the existing issues. System Info It seems the chat template of mistral models are outdated. There should now be a space before [/INST] in format_user StringFormatter: https://huggingface.co/do...
] encodeds = tokenizer.apply_chat_template(messages, return_tensors="pt") model_inputs = encodeds.to(device) model.to(device) generated_ids = model.generate(model_inputs, max_new_tokens=1000, do_sample=True) decoded = tokenizer.batch_decode(generated_ids) print(decoded[0]) Mistral 7B v...
Mistral 7B v0.2微调和微调后推理 # Experimental environment: A100# 32GB GPU memoryPYTHONPATH=../../.. \CUDA_VISIBLE_DEVICES=0 \python llm_sft.py \--model_id_or_path AI-ModelScope/Mistral-7B-v0.2-hf \--model_revision master \--sft_type lora \--tuner_backend swift \--template_type ...
"}, {"role": "user", "content": "Do you have mayonnaise recipes?"} ] encodeds = tokenizer.apply_chat_template(messages, return_tensors="pt") model_inputs = encodeds.to(device) model.to(device) generated_ids = model.generate(model_inputs, max_new_tokens=1000, do_sample=True) ...
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TypeError: ModelArgs.__init__() missing 1 required positional argument: 'sliding_window'错误是因为 Mistral-7B-Instruct-v0.2 取消了滑动窗口,需要注释掉代码里的 sliding_window,最后运行成功。修改后的代码 Chat template [INST]Instruction[/INST]Model answer[INST]Follow-up instruction[/INST] 例子:"[INS...
我们首先定义一个 ChatInterface 小部件:chat_interface = pn.chat.ChatInterface(callback=callback, callback_user=“Mistral”)。此小组件处理聊天机器人的所有 UI 和逻辑。请注意,我们需要定义系统在 'callback' 函数中的响应方式,这就是我们上面刚刚定义的。
"}"role": "user", "content": "write a python function to generate a list of random 1000 numbers between 1 and 10000?"}]encodeds = tokenizer.apply_chat_template(messages, return_tensors="pt")device = "cuda:0"model_inputs = encodeds.to(device)generated_ids = model.generate(model_...
system = tokenizer.apply_chat_template([message], tokenize=False) else: system = "" # 格式化指令 message = {"role": "user", "content": example['question']} prompt = tokenizer.apply_chat_template([message], tokenize=False, add_generation_prompt=True) ...