扩充词表后加载

[wzg-zhuo]

提交前必须检查以下项目

• [X] 请确保使用的是仓库最新代码（git pull），一些问题已被解决和修复。
• [X] 由于相关依赖频繁更新，请确保按照Wiki中的相关步骤执行
• [X] 我已阅读FAQ章节并且已在Issue中对问题进行了搜索，没有找到相似问题和解决方案
• [X] 第三方插件问题：例如llama.cpp、text-generation-webui、LlamaChat等，同时建议到对应的项目中查找解决方案
• [X] 模型正确性检查：务必检查模型的SHA256.md，模型不对的情况下无法保证效果和正常运行

问题类型

None

基础模型

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操作系统

None

详细描述问题

扩充词表后得到merge_hf，替换原来llama2的tokenizer文件，使用llama.cpp量化可以成功，但是加载模型时候报错

依赖情况（代码类问题务必提供）

# 请在此处粘贴依赖情况

llama.cpp

运行日志或截图

# 请在此处粘贴运行日志

llm_load_print_meta: freq_base_train = 10000.0 llm_load_print_meta: freq_scale_train = 1 llm_load_print_meta: model type = 7B llm_load_print_meta: model ftype = mostly Q5_0 llm_load_print_meta: model params = 6.74 B llm_load_print_meta: model size = 4.33 GiB (5.52 BPW) llm_load_print_meta: general.name = LLaMA v2 llm_load_print_meta: BOS token = 1 '' llm_load_print_meta: EOS token = 2 '' llm_load_print_meta: UNK token = 0 '' llm_load_print_meta: PAD token = 0 '' llm_load_print_meta: LF token = 13 '<0x0A>' llm_load_tensors: ggml ctx size = 0.09 MB error loading model: create_tensor: tensor 'token_embd.weight' has wrong shape; expected 4096, 49953, got 4096, 32000, 1, 1 llama_load_model_from_file: failed to load model Traceback (most recent call last): File "/home/aiproject/aiqa.py", line 2, in from llm_file import llm,answer_func File "/home/aiproject/llm_file.py", line 24, in llm=llm_init() File "/home/aiproject/llm_file.py", line 18, in llm_init llm = Llama(model_path=model_path, n_ctx=n_ctx, n_batch=n_batch, n_threads=N_THREADS) File "/home/miniconda3/lib/python3.10/site-packages/llama_cpp/llama.py", line 365, in init assert self.model is not None AssertionError

[ymcui]

看错误信息中的这条

error loading model: create_tensor: tensor 'token_embd.weight' has wrong shape; expected 4096, 49953, got 4096, 32000, 1, 1

说明词向量矩阵还是32000（原版词表大小）。你应该检查一下量化前模型的词向量矩阵shape。

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