Related Issues (20)
- Canno launch with error exllamav2_kernels not installed. HOT 4
- Failing to start a TGI pod with 2 or more GPUs. Sharding fails.
- Unable to stop TGI after serving models HOT 1
- Do I need to additionally apply an inference template?
- UserWarning: You are using a Backend <class 'text_generation_server.utils.dist.FakeGroup'> as a ProcessGroup. This usage is deprecated since PyTorch 2.0
- Serverless inference API endpoints fails to return logprobs via chat completions
- 404 for Multi-modal docs
- 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.
- Add `stop_regex` parameter to `/generate` HOT 1
- 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"
- Encounter install error when install vllm package.
- Mistral7b takes 4 times its size in VRAM on A100 HOT 5
- Regarding llama3-70b-instruct
- Use pre-built FA2, vllm, quantization kernels in the dockerfiles
- "docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data -e HUGGING_FACE_HUB_TOKEN={your_token} ghcr.io/huggingface/text-generation-inference:latest --model-id $model --num-shard $num_shard" showing error with my token id that "Unable to find image 'ghcr.io/huggingface/text-generation-inference:latest' locally latest: Pulling from huggingface/text-generation-inference docker: no matching manifest for linux/arm64/v8 in the manifest list entries. See 'docker run --help'."
- Cannot use Inference Endpoint: UnprocessableEntityError: Error code: 422 - {'error': 'Template error: template not found', 'error_type': 'template_error'} HOT 1
- llama3-70B-Instruct-AWQ causing CUDA error: an illegal memory access was encountered
- how do I adjust the logging level when launching via the docker container?
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