text-generation-inference
https://github.com/huggingface/text-generation-inference
Python
Large Language Model Text Generation Inference
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- Issues
- Slow when using response format with JSON schemas with 8+ optional properties
- Deepseek v3 support
- Prefill operation can be significantly slower in TGI v3 vs TGI v2
- Automatic Calculation of Sequence Length in TGI v3 Leads to Unrealistic Values Before CUDA OOM
- make install-server does not have Apple MacOS Metal Framework
- [Qwen/Qwen2.5-14B-Instruct-GPTQ-Int8] Bad Responses with High Concurrent Requests
- Unclear Metrics list
- summarization using fine-tuned flan-t5 model in TGI outputs "generated text" instead of "summary_text" and outputs are completely different
- Qwen2-VL failed to infer multiple images (Server error: upper bound and larger bound inconsistent with step sign)
- trunction flag is missing from /v1/chat/completions
- Docs
- Python not yet supported