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Qwen/Qwen3.6-35B-A3B quantised using https://github.com/whpthomas/spark-auto-round and the OpenCode dataset.
Benchmarked on Spark DGX using https://github.com/SeraphimSerapis/tool-eval-bench:
```
tool-eval-bench --base-url http://127.0.0.1:8000 --seed 42 --perf-only
🔧 Tool-Call Benchmark
Server: http://127.0.0.1:8000
Querying http://127.0.0.1:8000/v1/models … ✓ /models/Qwen3.6-35B-A3B-int4-AutoRound (alias: qwen3.6-35b-a3b-opencode-ar)
✓ Warm-up complete (2280 ms)
🔍 Engine: vLLM 0.22.1rc1.dev330+g6deb05e0e.d20260610
╭──────────────────────────────────────────────────────────────────── ⚡ llama-benchy Throughput Benchmark ────────────────────────────────────────────────────────────────────╮
│ /models/Qwen3.6-35B-A3B-int4-AutoRound │
│ pp=[2048] tg=[128] depth=[0, 4096, 8192] concurrency=[1, 2, 4] runs=3 latency=generation … -
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