Comments (6)
Did you login with huggingface hub?
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No, I did not explicitly login to HF hub, because -
- I am following the instructions given on the OpenLLM github page on how to run it, and it doesn't mention that I need to login to HF hub.
- I don't need to login to HF to use other models from the HF transformers pipeline
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Can you try with the latest version to see if you can still run into these issues?
from openllm.
at least the tests were coverred for linux and macos
from openllm.
what's the update, wondering were you able to run starcoder on macOS?
from openllm.
we need to support CPU (esp GGUF and GGML for it to run on MacOS)
This is on our roadmap but currently not very high priority atm.
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Related Issues (20)
- feat: support enforce_eager option from cli HOT 1
- bug: Cannot Run an OpenLLM server regardless of where I try to get it from or what model I use HOT 6
- bug: Attempting to invoke OpenLLM from Langchain results in error HOT 2
- Availability of the OpenAI /v1/completions API Endpoint ? HOT 3
- feat: Include starcoder2
- How to deploy a model using a single machine multi card approach?
- Deprecation Warning for PyTorch Backend HOT 2
- FileNotFoundError: [Errno 2] No such file or directory: b'/root/bentoml/models/pt-google--gemma-7b-it/latest'
- feat: c4ai-command-r-v01 support HOT 3
- feat: support Qwen1.5 HOT 2
- feat: any plan to support NPU HOT 1
- bug: An exception occurred while instantiating runner 'llm-mistral-runner' HOT 2
- bug: Not enough data for satisfy transfer length header HOT 3
- feat: Can you support llama3? HOT 3
- bug: WARNING: openllm 0.4.44 does not provide the extra 'gemma' HOT 1
- feat: support LMDeploy backend HOT 7
- bug: error coming up while install the vllm using pip install "openllm[vllm]" HOT 1
- For AMD/GPU, how to use multi GPUS in the api_server.py HOT 2
- bug: pip package version ssues
- feat: Multimodal LLMs? HOT 1
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