lm-sys / lm-sys/FastChat

🚀 PQN.AI – Quantum-Inspired LLM Submission for Chatbot Arena

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Description

API Access (OpenAI-compatible)

Base URL: https://api.pqn.ai/v1

Auth: Authorization: Bearer

Models: pqn-ai/pqn-ai-v1

Rate limit: 30 req/min (pilot)

Context length: 32,768 tokens (Max output: 2,048 tokens)

Throughput (A100 80G): ~110 tok/s @ fp16

Tokenizer: tiktoken (gpt-4o compatible)

Reproducible Evals

Repo: P-QUANTUM
(tag: arena-eval-2025-09-17)

Script: scripts/run_arena_evals.sh (MMLU / ARC / TruthfulQA / HellaSwag)

Seed: 42 (fully reproducible)

Logs & Results: results/arena_2025-09-17/*.jsonl + aggregate.json

Hardware: A100 80G ×1, CUDA 12.1

Aggregate Scores (pilot run):

MMLU: 82.0

ARC-Challenge: 90.0

TruthfulQA: 90.2

HellaSwag: 85.5

Overall: Competitive with GPT-4-level baselines, reproducible with seed 42.

Safety

Output moderation: OpenAI-style heuristics + blocklists (hate / sexual / violence / self-harm)

Refusal policies: Documented in safety/PQN_Safety_Policy.md

License

Code: MIT

Weights: MIT (non-viral)

Contact

Email: team@pqn.ai

Demo: HF Space – PQN.AI Demo

(maintainers: queue disabled, unlimited access for testing)

Temporary API Key

If you need a temporary API key to validate, please share a maintainer email and we’ll DM a key.

Contributor guide

No contributing guide indexed for this repository

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

The issue provides API, evaluation, safety, and demo links, but names no FastChat file, test, or entry point. First determine whether FastChat has a documented model-submission or Chatbot Arena integration path, then identify the required project changes and validation steps. Done should mean the submission is integrated and its evaluation or serving behavior is verified.

Written by the indexing model from the issue text.

Assessment

Domain
ai
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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