vllm repetition_penalty参数 VLLM中的repetition_penalty参数是重复惩罚参数。 VLLM中的repetition_penalty参数通过修改生成文本时的概率分布来实现,其目标是在这个概率分布中对先前生成过的token,又重复生成该token进行惩罚(降低概率),以减少生成文本中的重复性。
alpha): ''' 该函数是实现Contrastive Search中next token预测中候选token的排序分数,分数最大对应token为输出结果 context_hidden: beam_width x context_len x embed_dim ,用于计算相似度,是公式中x_j集合表征向量 next_hidden: beam_width x 1 x embed_dim,用于计算相似度,是公式中候选token v 的表征向量 ...
Hi there, I've come to the conclusion that the field repetition_penalty, which can be found here, is not being used. However, this field is supported by the vllm module. When I checkout the endpoint which is using this request model, I d...
Fix repetition penalty aligned with huggingface (vllm-project#1577) Browse files main (vllm-project/vllm#1577) beginlner committed Nov 22, 2023 Verified 1 parent 4cea74c commit de23687 Showing 2 changed files with 50 additions and 32 deletions. Whitespace Ignore whitespace Split Unified ...
这里的Transformers指的是huggingface开发的大模型库,为huggingface上数以万计的预训练大模型提供预测、训练等服务。 🤗 Transformers 提供了数以千计的预训练模型,支持 100 多种语言的文本分类、信息抽取、问答、摘要、翻译、文本生成。它的宗旨是让最先进的 NLP 技术人人易用。 🤗 Transformers 提供了便于快速下载...
context_size = 4000 if model_path == "/Users/mweissenba001/Documents/rag_example/Modelle/llama-2-13b-german-assistant-v2.Q5_K_M.gguf": context_size = 4000 else: context_size = 7000 llm = LlamaCpp( max_tokens =cfg.MAX_TOKENS, model_path=model_path, temperature=cfg.TEMPERATURE, f16...