lm-sys / lm-sys/RouteLLM

Following demo it doesn't work

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Python
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Description

I am not sure any pair of the model works, I tried bunch of different routers (mf - gives me always rate limit error, bert - authorization error, random - same), and bunch of models:
ollama/llama models - all api connections failed
chatgpt models - rate limit exceed, quota exceed
huggingface llama models - rate limit exceed

Probably there are some changes over 8 months I am not aware or not surfaced in the tutorial

Command I was running (e.g. huggingface llama model and anyscale mistral model)
python3 -m routellm.openai_server --routers bert --strong-model huggingface/meta-llama/Meta-Llama-3.1-8B-Instruct --weak-model anyscale/mistralai/Mixtral-8x7B-Instruct-v0.1

python3 -m examples.router_chat --router bert --threshold 0.11593

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reproducing the two commands in the issue with the listed routers and model providers, then compare the demo or tutorial instructions with the current authentication, quota, and rate-limit behavior. Done means identifying whether the documented model pairs still work and updating the relevant tutorial or usage guidance so the demo can run successfully.

Written by the indexing model from the issue text.

Assessment

Tech stack
huggingface, ollama, python
Domain
ai, backend
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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