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Related Issues (20)
- TGI does not always preserve order of grammar's JSON keys/Pydantic arguments HOT 3
- Gibberish generated with deepseek-ai/deepseek-coder-6.7b-instruct HOT 3
- TGI hard crashes after 1 OOM error HOT 5
- ModuleNotFoundError: No module named 'dropout_layer_norm' HOT 5
- ValueError: Unsupported model type llava HOT 2
- can add model deepseek-ai/DeepSeek-V2-Lite? HOT 1
- Add `response_format` to chat/completions HOT 2
- Cannot load Gemma models with TGI 2.0.3 HOT 4
- TGI 2.0.3 fails to serve CodeLlama models that 2.0.1 supports HOT 13
- The PHI-3 gives warnings about Tokens and returns additional tokens. HOT 1
- Low-Rank Adaptation of Large Language Models HOT 4
- Cannot load microsoft/Phi-3-medium and microsoft/Phi-3-small with TGI-2.0.4 HOT 11
- An incorrect tool choice will cause the server to crash HOT 2
- [Feature]: Additional metrics to enable better autoscaling / load balancing of TGI servers in Kubernetes HOT 12
- Expose `model` argument in python clients HOT 1
- Support OpenAI's stop parameter logic HOT 2
- memory usage 3x higher than plain code HOT 1
- Intel XPU Docker image import error on start
- Llama3 Tokenizer Troubles: All added_tokens unrecognized, given id of `None` HOT 8
- Gemma not starting with tensor parallelism HOT 1
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