Comments (1)
Just fixed, thanks for pointing this out! You may use runpod/worker-vllm:dev if you rely on the pre-built image.
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Related Issues (20)
- Cannot load Tokenizers for some Models. HOT 2
- Best way to record data HOT 1
- BadRequestError on runsync route, or what is the correct method to hit handler.py's locally run API? HOT 1
- How can i update to vLLM v0.4.1 for llama3 support ? HOT 6
- Runpod serverless vLLM with Llama 3 70B on 40GB GPU HOT 8
- Update documentation to note support for extra parameters HOT 1
- GGUF compatibility HOT 2
- Building Docker with model built in HOT 6
- Got some deprecation notice, might update these HOT 1
- ImportError prepare_hf_model_weights method HOT 2
- Only generates 16 tokens HOT 1
- Incorrect path_or_model_id HOT 13
- Slow streaming HOT 1
- OOM on second request HOT 2
- Using mistral 0.3
- Update to vllm 0.5
- Gemma-2 is not available in this docker image.
- Issue: Update VLLM to Version .5.0++, and a few suggestions HOT 13
- A new version of VLLM has been released HOT 1
- Support for tools / tool_choice="auto" in OpenAI-compatible API HOT 20
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