---
pretty_name: Qwen3.6-27B BF16 sidecar runs
license: other
tags:
- opentq
- qwen3.6
- qwen
- bf16
- benchmark
- reproducibility
- quantization
task_categories:
- text-generation
configs:
- config_name: results
  data_files:
  - split: train
    path: data/results/train.parquet
- config_name: benchmarks
  data_files:
  - split: train
    path: data/benchmarks/train.parquet
- config_name: runs
  data_files:
  - split: train
    path: data/runs/train.parquet
---

# Qwen3.6-27B BF16 Sidecar Runs

This dataset publishes BF16 sidecar outputs used to compare OpenTQ GGUF artifacts against the base model `Qwen/Qwen3.6-27B` on pinned practical mini-subsets.

The Dataset Viewer uses flattened Parquet tables so columns have stable types. The original raw JSON files remain in `runs/<job_id>/` for reproducibility.

## Tables

| Config | Grain | Purpose |
| --- | --- | --- |
| `results` | one row per benchmark sample | prompts, task IDs, deterministic BF16 outputs, score fields, timing |
| `benchmarks` | one row per benchmark per run | summary pass counts and pass rates |
| `runs` | one row per sidecar job/mode | model, runtime, prompt format and aggregate metadata |

## Scope

These are small release-quality signals, not full benchmark replacements. Use them for paired BF16-vs-GGUF regression checks only. Official full-harness Qwen scores remain the baseline for model capability claims.

## Related

- Model repo: [`zlaabsi/Qwen3.6-27B-OTQ-GGUF`](https://huggingface.co/zlaabsi/Qwen3.6-27B-OTQ-GGUF)
- Paired benchmark reproducibility dataset: [`zlaabsi/Qwen3.6-27B-OTQ-GGUF-benchmarks`](https://huggingface.co/datasets/zlaabsi/Qwen3.6-27B-OTQ-GGUF-benchmarks)