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Hi,
Could you please help provide guide on integrating deepspeed approach of using multi-GPU Intel Flex 140 to run model inference using FastAPI and uvicorn setting ?
model id: 'meta-llama/Llama-2-7…
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I have 2 model folders for llama3, one is the original and another is the finetuned, how to config to use the…
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# 딥러닝 모델 Serving 간단 구축기 - SOCAR Tech Blog
https://tech.socarcorp.kr/data/2020/03/10/ml-model-serving.html
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### 🚀 The feature
Inference requests are stored in a prioritized data structure. The priority of a request can be set via a custom header value. The priority values are categorical (e.g. `LOW`, `HIGH…
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Hello. Thank for providing vLLM as a great open-source tool for inference and model serving! I was able to build vLLM on a cluster I maintain, but it only appears to work on a single MI210 GPU. Can so…
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### Your current environment
version 0.5.0
### 🐛 Describe the bug
Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/uvicorn/protocols/http/httptools_impl.…
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**Description**
I run benchmark of Meta-Llama-3-8B-Instruct in RTX 8*4090,
when r…
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Hi, I successfully converted Keras model to serving_model using this repository many thanks to @bendangnuksung. Now I am preparing the client api side. Here is the image loading part of api:
`if l…
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## 问题：
### Q1:
执行如下代码时报错：
```bash
export SERVING_BIN=/usr/local/serving_bin/serving
python -m paddle_serving_server.serve \
--model ./serving_server \
--thread 8 --port 10010 \
--gpu_ids 0 …