---
tags:
- vbl
- recurrent
- x86-64
- avx2
- rust
- cpu
- full-ram
- research
library_name: custom
---

# VBL-32M-Utility Native

**31,974,240-parameter VBL utility/research release with a native Rust x86_64 runtime.**

## Native execution

The primary runtime is **not Python/PyTorch**.

- Rust x86_64
- AVX2 + FMA optimized CPU dot products
- FP32 weights
- all model weights loaded into process RAM at startup
- **no mmap**
- **no SSD/model streaming**
- no quantization
- no GPU required for runtime

FP32 neural parameter payload: **121.97 MiB**.

## Neural architecture

Active checkpoint architecture:

`input -> embedding -> prelude -> [V16_NORM_MEAN + state-conditioned elastic bank + shared recurrent core] x R2 -> coda -> tied output`

- base VBL-RC M0: 20,013,920 parameters
- connected elastic capacity: 11,960,320 parameters
- total: 31,974,240
- 73 experts
- expert width: 320 -> 256 -> 320
- top-k: 3
- router: token-causal, shares expert `down.weight[0]`, zero additional router parameters
- selected experimental alpha: 0.75

## Verification status

This repository is intentionally named **Utility**, not Verified-32M.

The 32M candidate's official frozen C1 result was:

**583 / 853**

Therefore it is **NOT KR100 promoted**. The canonical M0 lineage remains preserved in the 32M base weights.

## Utility mode

The native executable loads the complete 32M model into RAM and first routes deterministic tasks
through executable verifiers. Unsupported utility requests abstain instead of fabricating a result.

Examples:

```bash
./vbl32m --model-dir . "What is 34 + -13?"
./vbl32m --model-dir . "Is 772 even or odd?"
./vbl32m --model-dir . "Complete the sequence: 32, 33, 34, 35,"
```

Raw experimental neural generation:

```bash
./vbl32m --model-dir . --raw "User: What is 2 + 2? Assistant:"
```

Trace recurrent state convergence:

```bash
./vbl32m --model-dir . --raw --trace "User: Hello Assistant:"
```

## Windows x86_64

The repository includes `native/build-windows-x86_64.ps1`.

On an x86_64 Windows machine with Rust installed:

```powershell
cd native
.uild-windows-x86_64.ps1
```

This produces `native	arget
eleasebl32m.exe`.

## VBL architecture policy

See `ARCHITECTURE.json`.

Features that were approved as experimental directions but were not trained/certified in this exact
checkpoint are explicitly marked inactive instead of being falsely presented as learned behavior.
Full-RAM residency intentionally disables predictive SSD streaming/prefetch.

## Files

- `model.safetensors` — complete 32M FP32 state
- `tokenizer.json` — VBL-BPE-24K
- `native_config.json` — native runtime configuration and parity proof
- `native/` — Rust source
- `bin/linux-x86_64-v3/vbl32m` — compiled Linux x86_64 AVX2/FMA binary
- `ARCHITECTURE.json` — active/inactive VBL architecture contract
- `MANIFEST.json` / `SHA256SUMS` — provenance