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Related Issues (20)
- Python client: Extra slash in base_uri leads to failures in chat endpoint HOT 1
- The TGI loading model consumes all available gpus memory HOT 2
- Process hangs in local run HOT 2
- Out of Memory Errors When Running text-generation-benchmark Despite Compliant Batch Token Limit HOT 8
- TGI crashes with complex json schemas provided as grammar without any information (on debug/trace level) HOT 3
- Canno launch with error exllamav2_kernels not installed. HOT 4
- Failing to start a TGI pod with 2 or more GPUs. Sharding fails. HOT 1
- Unable to stop TGI after serving models HOT 1
- Do I need to additionally apply an inference template? HOT 1
- UserWarning: You are using a Backend <class 'text_generation_server.utils.dist.FakeGroup'> as a ProcessGroup. This usage is deprecated since PyTorch 2.0 HOT 1
- Serverless inference API endpoints fails to return logprobs via chat completions HOT 1
- 404 for Multi-modal docs HOT 1
- The quantized llama-3-8b-instruct-awq with TGI 1.4 can handle fewer batch requests than the standard llama-3-8b-instruct with TGI 1.4 on the same RTX 3090 with 24GB VRAM. HOT 1
- Add `stop_regex` parameter to `/generate` HOT 2
- Add `grammar` to chat/completions endpoint / Messages API HOT 1
- Add Intel Arc iGPU support (Meteor Lake)
- TGI-2.0.2 encounter "CUDA is not available" HOT 1
- Encounter install error when install vllm package. HOT 1
- Mistral7b takes 4 times its size in VRAM on A100 HOT 5
- Regarding llama3-70b-instruct
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