--- license: apache-2.0 pretty_name: "xai-dissect Grok-1 structural parse artifacts" size_categories: - n<1K annotations_creators: - machine-generated tags: # Discovery-first (custom tags; avoid format noise like json/jsonl) - moe - structural-analysis - grok-1 - model-dissection - research-experiment - personal-research - mixture-of-experts - expert-routing - weight-analysis - structural-inventory - checkpoint-inventory - checkpoint-parse - model-introspection - open-weights - xai - xai-org/grok-1 - xai-dissect configs: - config_name: tensors data_files: - split: train path: data/tensors.jsonl - config_name: conversion data_files: - split: train path: data/conversion.jsonl - config_name: routing_critical data_files: - split: train path: data/routing_critical.jsonl dataset_info: - config_name: tensors features: - name: tensor_index dtype: int64 - name: shard_path dtype: string - name: shard_ordinal dtype: int64 - name: role dtype: string - name: dtype dtype: string - name: shape sequence: int64 - name: nbytes dtype: int64 - name: kind dtype: string - name: block_index dtype: int64 - name: block_slot dtype: int64 - name: model_family dtype: string - name: checkpoint_ref dtype: string splits: - name: train num_examples: 770 - config_name: conversion features: - name: tensor_index dtype: int64 - name: tensor_name dtype: string - name: structural_name dtype: string - name: kind dtype: string - name: region dtype: string - name: dtype dtype: string - name: shape sequence: int64 - name: numel dtype: int64 - name: byte_len dtype: int64 - name: shard_index dtype: int64 - name: source_shard_path dtype: string - name: packing_policy dtype: string - name: protected_reason dtype: string - name: model_family dtype: string - name: checkpoint_ref dtype: string splits: - name: train num_examples: 770 - config_name: routing_critical splits: - name: train num_examples: 64 --- # 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](https://github.com/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**. ## Related research (ternary packing / route preservation) Follow-on personal research from [rmems/grok-ozempic](https://github.com/rmems/grok-ozempic), packaged by **Grok Build: Grok 4.5 (high)**: | Dataset | What | |---------|------| | [`rmems/grok-1-ternary-quant-experiments`](https://huggingface.co/datasets/rmems/grok-1-ternary-quant-experiments) | Experiment reports, τ sweeps, block-0 forward & multi-block chain metrics | | [`rmems/grok-1-goz1-packs`](https://huggingface.co/datasets/rmems/grok-1-goz1-packs) | Binary GOZ1 packs (v1 + v3) derived from open Grok-1 | Collection: [Grok-1 dissection and ternary packing](https://huggingface.co/collections/rmems/grok-1-dissection-and-ternary-packing-6a7927095f6a7ca444f003af). Those repos measure **route preservation under ternary packing**; this dataset remains **parser / inventory only** 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`](https://huggingface.co/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`](https://huggingface.co/xai-org/grok-1) | | Checkpoint | `ckpt-0` (770 shards) | | Portable ref in files | `xai-org/grok-1:ckpt-0` | ```bash hf download xai-org/grok-1 --include "ckpt-0/*" --local-dir checkpoints ``` Upstream open-weights code: [xai-org/grok-1](https://github.com/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 | ```python 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): ```text 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](https://github.com/rmems/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: ```bibtex @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)**.