# Heimdall D1 V6 decision model by Toby-NoSkillSon

> Heimdall D1 V6 adapts d1-2B to judge who transcribed speech addresses. Read its local MLX formats, training lineage and unmeasured accuracy.

Updated 2026-11-07 (Australia/Adelaide)

## Quick answers

### What is Heimdall D1 V6 by Toby-NoSkillSon?

[Heimdall D1 V6](<https://decisionmodels.ai/models/heimdall>): A text-only d1-2B fine-tune that decides whether transcribed speech is for a voice assistant, still unfinished or meant for someone else.

[Heimdall D1 V6 facts](<https://decisionmodels.ai/models/heimdall>)

[Source](<https://huggingface.co/Toby-NoSkillSon/heimdall-d1-v6>)

### Who makes Heimdall D1 V6?

[Heimdall D1 V6](<https://decisionmodels.ai/models/heimdall>): Toby-NoSkillSon

[Heimdall D1 V6 facts](<https://decisionmodels.ai/models/heimdall>)

[Source](<https://huggingface.co/Toby-NoSkillSon/heimdall-d1-v6>)

By Toby-NoSkillSon · Hugging Face package release: 2026-11-04 · OPEN

A text-only d1-2B fine-tune that decides whether transcribed speech is for a voice assistant, still unfinished or meant for someone else. It runs through MLX on Apple Silicon. The fixed question was trained around the names Toby and Heimdall; the state can supply other names. The weights preceded this scan window; the in-window card explains their lineage.

## Facts

- Inputs: Conversation transcripts; speech recognition runs first
- Formats: BF16, int8 and int4 packages
- Licence: LFM Open License v1.0; commercial revenue limit applies

## Claims and sources

- **VENDOR-REPORTED**: The maker reports two training stages totalling about 175 million tokens across ten languages. The card gives no held-out dispatch accuracy, so training scale does not establish reliable wake-word-free behaviour. [source](<https://huggingface.co/Toby-NoSkillSon/heimdall-d1-v6>)

## Links

- [Source: Card, weights and MLX runner](<https://huggingface.co/Toby-NoSkillSon/heimdall-d1-v6>)

## Related projects

No related projects are listed in the registry.
