rmems/grok-1-dissect-artifacts

Grok-1 structural parse artifacts (personal research)

Personal research tooling output — not a product release and not a hybrid-quantization implementation. Structural parse of open Grok-1 checkpoint shards (tensor inventory, MoE expert layout, routing-critical tensors, conversion policies, reports) produced by the rmems/xai-dissect weight parser.

This is not a copy of the model weights, not a finetune, not an inference runtime, and does not implement hybrid quantization.

Purpose / research context

These files are personal experiment artifacts. They were collected with xai-dissect to:

1. Map open xai-org/grok-1 ckpt-0 shard layout (770 tensors, MoE experts, routers, norms).
2. Inventory packing already present in the open checkpoint (many expert/attention shards ship as int8 packs under names like quant.weight in the official release).
3. Support offline personal research toward hybrid quantization / routing-preserving packing ideas — as parser ground truth, not as a shipped quantizer.

If you are looking for a hybrid quantization system, this dataset is the wrong place: it is only the dissection metadata from running a personal parser over the public weights.

About packing labels in the data

Where	What you will see
Dataset Viewer (data/*.jsonl)	Viewer-friendly names: packed_weight, packing_policy, attention_projection_i8
Full artifacts/ tree	Native xai-dissect / checkpoint vocabulary may still say quant_weight, quant_policy, quant.weight, etc.

Those native strings describe how the open Grok-1 checkpoint is already packed, not a claim that this project applied hybrid quantization.

Source weights

Field	Value
Hub model	xai-org/grok-1
Checkpoint	ckpt-0 (770 shards)
Portable ref in files	xai-org/grok-1:ckpt-0

hf download xai-org/grok-1 --include "ckpt-0/*" --local-dir checkpoints

Upstream open-weights code: xai-org/grok-1.

Dataset configs (Hub viewer)

Config	Rows	Description
tensors	770	Flat tensor inventory rows (data/tensors.jsonl; roles use packed_weight for int8 packs)
conversion	770	Per-tensor structural names + packing_policy
routing_critical	64	Routing-critical tensor summaries

from datasets import load_dataset

tensors = load_dataset("rmems/grok-1-dissect-artifacts", "tensors", split="train")
print(tensors[0])

Full artifacts tree

Complete path-scrubbed JSON/Markdown from run grok1_run3_20260802T023050Z (tool-native field names; see packing note above):

artifacts/grok1_run3_20260802T023050Z/
  exports/xai-grok-1-ckpt-0/     # inventory, experts, routing, stats (+ findings)
  manifests/xai-grok-1-ckpt-0/   # conversion, coverage, routing plans
  reports/xai-grok-1-ckpt-0/     # Markdown reports
  RUN_ID.txt

Also included:

• provenance.json — purpose, source model, parser, exclusions, packaging attribution
• dataset_card.json — machine-readable card summary
• file_manifest.json — path + size + sha256 for every published file

Architecture snapshot (from inventory)

Hyperparameter	Value
vocab_size	131072
d_model	6144
n_experts	8
d_ff	32768
n_blocks	64
shards / tensors	770

What is excluded

• Downstream planning surfaces that sketched future packing pilots (quant-plan, pilot-selection-plan) — those are not part of this personal research drop
• Weight tensors / checkpoint blobs
• Host-absolute paths and usernames (all refs use portable xai-org/grok-1:ckpt-0/...)
• Local run logs and comparison notes
• Unrelated local campaign side outputs

How it was produced

1. Run personal xai-dissect tooling against open Grok-1 ckpt-0 shards.
2. Keep structural parser surfaces only (inventory / experts / routing / stats + manifests).
3. Scrub absolute host paths to portable Hub refs.
4. Emit flat JSONL tables for the Dataset Viewer (viewer-friendly packing field names).
5. Publish as a research dump of parser output — not as a hybrid-quant product.

Citation

If you use this dataset, please also cite the source weights:

@misc{grok1_dissect_artifacts,
  title  = {Grok-1 structural parse artifacts (personal research)},
  author = {rmems},
  year   = {2026},
  url    = {https://huggingface.co/datasets/rmems/grok-1-dissect-artifacts},
  note   = {Personal xai-dissect parser output; not hybrid quant; weights from xai-org/grok-1}
}

@misc{grok1,
  title  = {Grok-1},
  author = {xAI},
  year   = {2024},
  url    = {https://huggingface.co/xai-org/grok-1}
}

License

Apache-2.0 (artifact packaging), matching the open Grok-1 weights license on the Hub. The parser repository may use a different license; this package contains derived structural metadata only.

Attribution

Dataset packaging, path scrubbing, Hub layout, and card authoring: Grok Build: Grok 4.5 (high).