尽管性能强大,但它的培训成本也很经济。它的全部训练(包括预训练、上下文长度扩展和后训练)只需要 278.8 万 H800 GPU hours。 在肯定 DeepSeek-V3 强大性能和高性价比的同时,还存在一些局限性,尤其是在部署方面。首先,为了确保高效推理,DeepSeek-V3 推荐的部署单元相对较大,这可能会给小型团队带来负担。 其次,尽...
这款拥有671B参数量的大语言模型,预训练过程竟然只用了 266.4 万 H800 GPU Hours,颠覆了业界对大模型研发成本的认知。通过创新的MLA架构和DeepSeekMoE技术,在14.8万亿token的训练基础上,它在代码编写和数学运算方面的表现比肩甚至超越了GPT-4o和Claude。#DeepSeek #DeepSeekV3 #幻方 #MLA #MoE #性价比 #GPU #...
1)性能极强:作为一个总参数量671B但激活参数仅37B的MoE模型,DeeSeek-V3在主流基准分数全面超越Llama 3.1 405B,与Claude-Sonnet-3.5-1022近乎打平,实测在Sonnet-3.5和GPT-4o之间,是当之无愧的国产最强开源模型; 2)成本极低:训练DeeSeek-V3仅需2048张H800训练56天(2.788M GPU hours),算力成本仅4000万人民币...
Amjad Masad(@amasad):DeepSeek V3通过一些关键的创新,成功地在相对较低的计算预算下(2.788M H800 GPU小时)训练了一个拥有671B参数的大型模型。 Amjad Masad的推文强调了DeepSeek-V3在使用较为适中的计算预算训练庞大的6710亿参数模型时的高效性。这一成就之所以重要,是因为模型规模庞大,而资源消耗相对较低,标志...
V3 outperforms other open-source models and achieves performance comparable to leading closed-source models. Despite its excellent performance, DeepSeek-V3 requires only 2.788M H800 GPU hours for its full training. In addition, its training process is remarkably stable. Throughout the entire ...
DeepSeek has not disclosed hardware details for R1 but revealed its earlier V3 model was trained using 2,048 H800 GPUs (2.8 million GPU hours), achieving efficiency surpassing Meta's Llama 3, which required 30.8 million GPU hours. Analysts suggest R1's performance implies even more powerful in...
GPU hours, while DeepSeek-V2 needs only 172.8K GPU hours, i.e., sparse DeepSeek-V2 can save 42.5% training costs compared with dense DeepSeek 67B. 2、并行策略上,没有tp,pp、ep、dp比较极致,个人觉得应该简化了通信逻辑。V3也延续了无tp的逻辑。moe放大通信域后,tp缓解内存约束的到缓解。未来硬...
这款拥有671B参数量的大语言模型,预训练过程竟然只用了 266.4 万 H800 GPU Hours,颠覆了业界对大模型研发成本的认知。通过创新的MLA架构和DeepSeekMoE技术,在14.8万亿token的训练基础上,它在代码编写和数学运算方面的表现比肩甚至超越了GPT-4o和Claude。#DeepSeek #DeepSeekV3 #幻方 #MLA #MoE #性价比 #GPU #...
倍速 国产大模型用极致性价比火爆全球 国产大模型DeepSeek-V3以惊人的成本效率引发全球关注,这款拥有671B参数量的大语言模型,预训练过程竟然只用了 266.4 H800 GPU Hours,颠覆了业界对大模型研发成本的认知,通过创新的MLA架构和DeepSeekMoE技术,在14.8万亿token的训练基础上,它在代码编写和数学运算方面的表现比肩甚至...
We have here the Nvidia RTX 3070 Laptop chip in a Max-Q 80-100W implementation for the GPU, going up to 80W with Dynamic Boost 2.0. Acer also offers several performance modes available in Predator Sense. Still, as far as I can tell, the settings are not finalized on our sample, as ...