# Qwen3.8-27B GSQ + RCO — data artifact

Use this folder with `qwen3.8-27b-gsq-rco-code.zip`. Extract that ZIP next to
this folder, or set `GSQ_RCO_DATA_DIR` to this folder's absolute path.

Contents:

- `models/Qwen3.8-27B/`: complete original checkpoint, tokenizer, model
  configuration, and model license; 18 safetensors shards, pinned to
  revision `1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0`.
- `qwen3.8-27b-gguf-uniform/`: all 12 uniform GGUF model files.
- `calibration/fineweb_edu.pt`: 1,024 token sequences of length 2,048,
  with sampling metadata in `fineweb_edu.json`.
- `calibration/wikitext2/`: saved train, validation, and test splits for
  offline evaluation.
- `model-metadata/`: Qwen3.8-27B SSM permutations and linear-module shapes.
- `reference-assignments/`: saved RCO assignments and the GSQ type mapping.
- `model-manifest.json` and `input-manifest.json`: checkpoint revision,
  available checkpoint hashes, and GGUF file-size records.
- `data-copy-manifest.json`: all 63 copied input files, sizes, and copy checks
  (full SHA256 for files up to 8 MiB; matching first/last 1 MiB for larger files).

Weights and GGUFs total about 170.4 GB, plus a small amount of dataset and
metadata space. These are independent copies, not links into the original
bundle. The derived candidate store is not included; build it with the
code artifact's `build_store.sh` on a disk with about 591 GB additional
capacity, plus room for later search caches and GSQ outputs.

The folder contains no Python environment or source repository. The original
combined bundle is preserved.

Existing staged models in `/home/mhelcig/data/Qwen3.8-27B-GSQ-RCO` are excluded.
In particular, the staged files named `GSQ-RCO-IQ2_S` and `GSQ-RCO-IQ2_XS`
were checked and contain multiple quantization types across their linear
layers: their filenames do not mean they are uniform models. Mixed-bit,
block/code-pruned variants, and `attic/` contents are not included.