在Meta开源LLama模型后,大量的微调模型出现,大部分模型都在LLaMA2模型的基础上扩大了vocab词表。扩充词表最基本功能:1.缩小VRAM的占用,从而带来更长的输入输出;2.导致推理速度的下降。 ar5iv.labs.arxiv.org/ht 上述文章的结论: 模型性能:词汇表的大小会影响模型的性能。较大的词汇表可以包含更多的词汇,这有助...
自动总结: - LLM和LLaMA2是两种语言模型 - VRAM和vocab是相关概念 - OOV和BPE是概念 - tokens和tokenization是概念 - Unigram是概念 内容: 各Meta舱精LLama倾到沐,癞湘龄棒星控褐忌漆,难咏革魄秸智蜈LLaMA2侍俭漓表悔仇骑服她vocab婚买。扼偷摔彪圈如闲抚孵:1.订屈VRAM恩教娄,植尊橡确讶衙所鸵截弃...
Update IOS prebuilts for Llama2 7B to support dynamic vocab_size 8ec40be CharlieFRuan merged commit fa4479d into mlc-ai:main Sep 17, 2023 This was referenced Sep 19, 2023 Add model OpenOrca-Platypus2-13B-q4f16_1 mlc-ai/mlc-llm#919 Merged [Tracking] Make existing llama2 prebui...
hyperpara:batch size:64, lr 3e-5, dropout 0.2 微调耗时:30min 显存占用:8G vocab size对模型影响 在Meta开源LLama模型后,大量的微调模型出现,大部分模型都在LLaMA2模型的基础上扩大了vocab词表。扩充词表最基本功能:1.缩小VRAM的占用,从而带来更长的输入输出;2.导致推理速度的下降 上述文章的结论: 模型性能...
Chinese-LLaMA-Alpaca-2-main/scripts/merge_llama2_with_chinese_lora_low_mem.py", line 245, in <module> assert lora_vocab_size==len(tokenizer), \ AssertionError: The vocab size of the tokenizer 55296 does not match the vocab size of the LoRA weight 0!
Port of Facebook's LLaMA model in C/C++. Contribute to NeoZhangJianyu/llama.cpp development by creating an account on GitHub.
cont ggml-ci * llama : deprecate llama_sample_grammar * llama : move tokenizers into llama-vocab ggml-ci * make : update llama.cpp deps [no ci] * llama : redirect external API to internal APIs ggml-ci * llama : suffix the internal APIs with "_impl" ggml-ci * llama : clean-...
Right now this results in the back end barfing during inference instead of catching it duringollama create. ifvocabSize:=int(p.VocabSize);vocabSize>len(t.Vocabulary.Tokens) {...}elseifvocabSize<len(t.Vocabulary.Tokens) {...}
In this PR, I replace tokenizer.vocab_size with len(tokenizer) in this context to avoid such error. from transformers import AutoTokenizer from vllm import LLM, SamplingParams from vllm.entrypoints.openai.logits_processors import _get_allowed_token_ids_logits_processor model = LLM( model="Llama...
convert : fix Baichuan2 models by using vocab size in config.json (gg… Browse files …erganov#3299) Use local GGUF package when possible in Baichuan converter master (ggerganov/llama.cpp#3299) KerfuffleV2 authored Oct 4, 2023 1 parent beabc8c commit 019ba1d ...