Comments (1)
You don't need to launch using torch.distributed.run
when you are not sharding your model.
You can directly use text-generation-server serve gpt2
.
Since you are running with --nproc_per_node=2
, the two process are competing for the same address.
from text-generation-inference.
Related Issues (20)
- BUILD_EXTENSIONS=False make install;
- Grammar not working with the serverless inference API HOT 1
- Running inference on AMD/ROCm and TGI 2.0.0
- Can't run Mistral quantized on T4 HOT 1
- Support HuggingFaceM4/idefics2-8b
- Support flashT5
- Support offline running HOT 4
- Add support for parsing JSON int64 Strings to int64s
- Importing from `text_generation.errors` throws Pydantic warning.
- thread 'tokio-runtime-worker' panicked at router/src/infer.rs:598:14 + Webserver Crashed
- Local install with "make install" occurs errors
- Abnormally high GPU memory usage for c4ai-command-r-plus HOT 2
- Docker container does not start without GPU
- tgi 2.0.1 run cohere command R plus generated_text is empty
- Mixtral 8x22b HOT 1
- One of two concurrent request generating empty text (Mistral 7B) HOT 1
- Llava Next crashes on certain image sizes HOT 5
- Have installed flash-attn and flash-attn-v2 but output 'Flash Attention is not installed' when using Medusa HOT 1
- Regression on EETQ quantized models
- Not able to run tgi in Google Colab. Shard Cannot Start
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from text-generation-inference.