pythonbackendtext-generationllmtext-generation-inference UpdatedJun 12, 2024 Python Deploy the Defog sqlcoder2 llm on Modal (https://modal.com) using Hugging Face Text Generation Inference (TGI) sqlcode-generationtext-to-sqlhuggingfacellmtext-generation-inferencesqlcodermodal-labsdefog-ai ...
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Text Generation Inference(TGI)是HuggingFace推出的大模型推理部署框架,支持主流大模型和主流大模型量化方案,相对其他大模型推理框架框架TGI的特色是联用Rust和Python达到服务效率和业务灵活性的平衡。 因为工作需要,笔者对TGI的源码进行过一定的阅读和修改。在这个系列文章中对TGI的设计进行分析,以期能给类似需求的朋友提供...
# 位于 server/text_generation_server/utils/layers.py # SuperLayer是TensorParallelColumnLinear和TensorParallelRowLinear的基类 class SuperLayer(nn.Module): def __init__(self, linear): super().__init__() # 持有对应类型(量化/非量化)的linear self.linear = linear def forward(self, x): # 简单...
Text Generation Inference 源码中模型加载的主要步骤是什么? 推理过程中如何优化模型的性能? 在模型加载时可能会遇到哪些常见错误? 1. 前言 本文以TGI对Llama 2的支持为例,解读TGI的模型加载和推理实现,总结其中运用到的推理优化技巧,最后以TGI增加AWQ推理支持为例复盘模型加载逻辑。虽尽力保持行文简洁,但最后成文还是...
At inference time, the tokens can be replaced by actual numerical values in a straightforward manner. These two modifications simplify the design and improve the performance of all computational models, as they remove the necessity to learn the vocabulary and syntax of compound names, durations, or...
dataset of cat images. It consists of eight images (instance images corresponding to instance prompt) of a single cat with no class images. It can be downloaded fromGitHub. If using the default dataset, try the prompt “a photo of a riobugger cat” while d...
To implement type inference for object properties, create a converter like the example in How to write custom converters.Deserialize null to non-nullable typeNewtonsoft.Json doesn't throw an exception in the following scenario:NullValueHandling is set to Ignore, and During deserialization, t...
dataset of cat images. It consists of eight images (instance images corresponding to instance prompt) of a single cat with no class images. It can be downloaded fromGitHub. If using the default dataset, try the prompt “a photo of a riobugger cat” while doing inference ...
θk = 4Nkμ, where Nk is the effective size of the population during time block k, and μ is the mutation rate per bp per generation. In practice, adjacent blocks of time can be fused into one block to reduce the parameters to be estimated. More details of the algorithm can be...