---
license: mit
language:
  - en
tags:
  - governed-language-model
  - semiconductor
  - conversational
  - governance
pipeline_tag: text-generation
---

# Axiom-560M

**A Governed Language Model — every output ships its own proof of governance.**

Axiom-560M is a dual-mode decoder (conversational + semiconductor) trained on 56,000 governed pairs. Governance isn't a filter — it's the architecture.

## Model Details

| | |
|---|---|
| Architecture | BLOOM-560M (decoder-only transformer) |
| Parameters | 559M |
| Training data | 56,000 governed pairs (conversational + semiconductor RTL) |
| Eval loss | 0.1635 |
| Perplexity | 1.18 overall (1.16 conversational, 1.64 semiconductor) |
| License | MIT |

## Modes

**Conversational** — governed dialogue (perplexity 1.16)

**Semiconductor** — governed RTL and hardware specifications (perplexity 1.64)

## Usage

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("MetaCortex-Dynamics/Axiom-560M")
tokenizer = AutoTokenizer.from_pretrained("MetaCortex-Dynamics/Axiom-560M")

input_ids = tokenizer.encode("<|conv|>What is governed generation?", return_tensors="pt")
output = model.generate(input_ids, max_new_tokens=200, temperature=0.7, do_sample=True)
print(tokenizer.decode(output[0], skip_special_tokens=True))
```

## Governance

Every output passes through a four-phase governance pipeline:

```
PROPOSE → DECIDE → PROMOTE → EXECUTE
```

- 15 grounding operators as token vocabulary
- 7 interrogative witnesses as grammar
- Admissibility gates (G₁-G₇) with three-valued semantics
- Machine-verifiable governance trace on every output

## Links

- [Interactive Demo](https://huggingface.co/spaces/MetaCortex-Dynamics/Axiom-Ref) — try Axiom in your browser
- [Source Code](https://github.com/MetaCortex-Dynamics/Axiom) — MIT license
- [Benchmark Results](https://github.com/MetaCortex-Dynamics/Axiom/blob/main/BENCHMARKS.md) — 100% governance vs 0% all LLMs

## Organization

[MetaCortex Dynamics DAO](https://github.com/MetaCortex-Dynamics)