原文地址:A detailed comparison between GPTQ, AWQ, EXL2, q4_K_M, q4_K_S, and load_in_4bit: perplexity, VRAM, speed, model size, and loading time. 发布于 2024-08-13 11:51 赞同6添加评论 分享收藏喜欢收起 知乎用户 2 人赞同了该回答 作者:云中江树 微信:zep...
'vec': self.get_callback_ans({'query': [value]})['result'][0]['embeddings'], 'model': 'lsh', 'similarity': 'cosine', 'candidates': 100 } } ], 'boost_mode': 'replace' } }, 'size': limit } try: return self.es_client.search(index=kg_id, body=body)['hits']['hits'] ...
此外,我正在创建一个存储模型参数的配置对象。# Configuration object for model parameters MASTER_CONFIG...
'vec': self.get_callback_ans({'query': [value]})['result'][0]['embeddings'], 'model': 'lsh', 'similarity': 'cosine', 'candidates': 100 } } ], 'boost_mode': 'replace' } }, 'size': limit } try: return self.es_client.search(index=kg_id, body=body)['hits']['hits'] ...
1. Title: Large Language Model Augmented Narrative Driven Recommendations Brief Introduction: This paper proposes a new approach to narrative-driven recommendation (NDR) by incorporating large language models (LLMs) to better understand user requests and provide more accurate recommendations. 2. Authors:...
Size13B Training data20k GPT4 instructions ModelWizardML Size7B Training data70k instructions synthesized with ChatGPT/GPT-3 ModelOpenAssistant LLaMA Size13B, 30B Training data600k human interactions (OpenAssistant Conversations) LLaMA 基础模型
Post Processing(query后处理):当应用进行query查询的时候,我们使用相同的向量模型(embedding model)创建query的向量化表示,然后使用某种相似度搜索算法,在向量数据库中寻找top k个和该query的向量化表示相似的向量(vector embedding),并通过关联键得到与之对应的原始内容,这些原始内容就是向量数据库的搜索结果(query result...
With a fixed $100K budget, we focus on 100B+ parameters. Although the Chinchilla laws [19] suggest that training a smaller model with more data may potentially result in higher scores on some benchmarks due to more sufficient training, we believe that verifying the feasibility of a growth ...
{"property":"别名"}},]}}}]}},'functions':[{'elastiknn_nearest_neighbors':{'field':'embeddings','vec':self.get_callback_ans({'query':[query]})['result'][0]['embeddings'],'model':'lsh','similarity':'cosine','candidates':100}}]}},'size':limit}returnself.es_client.search(index...
图中[]中的是该位置的张量 shape,B 表示 Batch Size,一般时候都是批量丢给GPU计算的,L 就是 Sequence Length,D 就是上面提到的 Dim。这是一个简化了的架构图,但是足以清晰地表达模型了。 两个Hidden states(以下简称 HS),外面(之上和之下)的部分我们前面已经提到过了(注意上面部分,[B,L,D]会先变成[B,...