Comments (2)
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from text-generation-inference.
I could be wrong but im 99% sure that the demo you point to is not using TGI.
It must be this : https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/254-llm-chatbot
Run on openvino backend... no TGI involved.
To my knowledge TGI does not support Intel GPUs
from text-generation-inference.
Related Issues (20)
- A seeming typo in `text_generation_server/utils/adapters.py`
- Directory check missing in FBGEMM Makefile HOT 1
- Installing without docker. HOT 3
- Error while building TGI from source HOT 7
- Response prefill logprobs seems to become incorrect when using `AsyncInferenceClient` in some circumstances HOT 2
- Add support for Idefics 3 HOT 3
- Cant install on Ubuntu 22.04 with Cuda 11.8 HOT 2
- Multi-LORA feature question
- Multi-LORA feature question-2
- RuntimeError: weight model.embed_tokens.weight does not exist
- tgi server launch fails with latest-rocm docker image.
- Add `response_format` input parameter to `v1/chat/completions` endpoint
- * HTTP 1.0, assume close after body < HTTP/1.0 503 Service Unavailable
- xpu/cpu: docker images referenced in documentation do not exist HOT 3
- Support for returning a `CompletionUsage` object when `streaming=True`
- TGI keeps referencing the default model in the image (bigscience/bloom) HOT 17
- How to serve local models with python package (not docker) HOT 2
- Docker container for version 2.3.0 CUDA detection broken HOT 1
- Error: Backend(Warmup(Generation("Hidden size mismatch"))) when launch Mixtral-8x22B-v0.1
- Host/CPU memory usage for prefix cache
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from text-generation-inference.