# chrishayuk/larql

Repository: https://github.com/chrishayuk/larql
Canonical: https://ross.abutalabs.com/products/larql
Language: Rust
License: Apache-2.0
License Family: permissive
Last push: 2026-09-03T01:03:58+00:00

## Health v2 (maintenance only)
Score: 82/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 100, release rhythm 100, longevity 11
- inputs: {"age_days": 160, "days_push": 0, "days_rel": 1, "gap_med": 0, "n_releases_24m": 10}
- flags: young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1142, forks 205 (observed 2026-09-03T02:15:09.989448+00:00)

## What it is
LARQL decompiles transformer models into a queryable 'vindex' (vector index) format and provides LQL, a SQL-like query language, to browse, edit, and recompile model knowledge without a GPU. It also serves models over HTTP and gRPC with support for MoE expert sharding and HuggingFace publishing.

## Use cases
- query transformer model weights like a graph database
- inspect what a model knows about an entity
- edit model knowledge by inserting edges
- run LLM inference on CPU without a GPU
- shard MoE experts across CPU-only machines
- research mechanistic interpretability of transformers
- publish model slices to HuggingFace

## When to choose
- you want to browse or edit LLM knowledge as structured data
- you need CPU-only inference or distributed MoE sharding
- you're doing interpretability research on transformer internals

## When to avoid
- you need a battle-tested production inference server
- you want standard fine-tuning or training workflows
- you need broad model-format support beyond supported transformer families

## Facets
- artifact type: cli-tool
- maturity: active
- function: llm-inference, machine-learning, database, search-engine, cli, http-server, rpc
- domain: large-language-models, machine-learning, databases, developer-tools, artificial-intelligence
- platform: windows, cross-platform, cli
- tags: query-language, lql, vindex, mechanistic-interpretability, model-editing, transformer-weights, moe-sharding, cpu-inference, huggingface, macos, linux

## Member repositories
- chrishayuk/larql (main) score 82

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:09.989448+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:36:46.314207+00:00, confidence not recorded.
  - readme: https://github.com/chrishayuk/larql (fetched 2026-09-03T02:15:09.989448+00:00, sha 3fdf92aeba0f)
  - registry_crates: https://crates.io/api/v1/crates/larql (fetched 2026-08-29T12:41:40.795958+00:00, sha df2c736ec1dd)
- Data as of 2026-08-30T08:39:29.467469+00:00.