Gander-ablated is an open-weight model from Jared H, released under Apache License 2.0. Its published files total 4.7 KB.
Gander-Omni/Gander, release Gander-v63-Unit8 on MiniCPM-o 4.5, with refusal behaviour reduced by abliteration of the Thinker's language tower.
Model Card
By Jared H, published under apache-2.0, revision 7580cfda02c4.
Gander-Omni/Gander, release Gander-v63-Unit8 on MiniCPM-o 4.5, with refusal behaviour reduced by abliteration of the Thinker's language tower. It is BF16 and keeps upstream's layout, thinker/ and talker/, so it drops into the Gander runtime the same way as the upstream release. An NVFP4 build is at Only the Thinker's language tower (llm., Qwen3-8B shape, 36 layers). The Thinker's vision tower, audio tower, resampler and audio projection are upstream's, unmodified. So are the Talker (talker/) and its token2wav assets. - 72 matrices were changed: selfattn.oproj and mlp.downproj in all 36 layers. - The largest relative change is ‖ΔW‖/‖W‖ = 0.135. - The language tower was extracted as a…
Read Jared H's full model card
Gander-Omni/Gander, release Gander-v63-Unit8 on
MiniCPM-o 4.5, with refusal behaviour reduced by abliteration of the Thinker's language tower.
It is BF16 and keeps upstream's layout, thinker/ and talker/, so it drops into the
Gander runtime the same
way as the upstream release. An NVFP4 build is at
justsumguy/Gander-ablated-NVFP4.
What changed
Only the Thinker's language tower (llm.*, Qwen3-8B shape, 36 layers). The Thinker's vision
tower, audio tower, resampler and audio projection are upstream's, unmodified. So are the
Talker (talker/) and its token2wav assets.
- 72 matrices were changed:
self_attn.o_projandmlp.down_projin all 36 layers. - The largest relative change is ‖ΔW‖/‖W‖ = 0.135.
Abliteration
- Tool: heretic, the unmerged
arabranch atedc3b12(Arbitrary-Rank Ablation). - Mode: ARA-LoRA with rank-128 adapters. After selection, the adapter delta was merged into the BF16 Thinker weights.
- Search setup:
- The language tower was extracted as a standalone Qwen3 model and loaded in bitsandbytes NF4 during the search.
- Hardware: RTX 5060 Ti 16 GB.
- Thinking was disabled in the chat template. System prompt:
You are a helpful assistant. - Optimiser: 150 trials, 45 of them startup trials. KL target 0.01, row normalisation off, direction not orthogonalised, maximum response length 100.
- Prompts:
- Direction:
mlabonne/harmful_behaviorstrain[:400] andmlabonne/harmless_alpacatrain[:400]. - Evaluation: test[:100] of each.
Selected trial: 4.
| Parameter | Value |
|---|---|
| layers | 6–31 |
| preserve_good_behavior_weight | 0.5598 |
| steer_bad_behavior_weight | 0.0008 |
| overcorrect_relative_weight | 0.4266 |
| neighbor_count | 3 |
| Metric | Refusals (of 100) | KL divergence |
|---|---|---|
| Base model | 98 | – |
| Study (trial 4) | 3 | 0.0325 |
| Recheck (adapter re-fit for export) | 7 | 0.1276 |
The ARA-LoRA re-fit is not bit-reproducible, so the recheck numbers are the ones that describe these weights.
The refusal evaluation is text-only, through the extracted language tower with a chat template. It does not exercise Gander's duplex unit format.
No healing step (fine-tuning after ablation) was applied. Post-abliteration stability needs further testing, including in full-duplex sessions, which have not been evaluated on these weights.
Usage
As upstream: point the Gander runtime's duplex.checkpoint at thinker/ and
duplex.talker_checkpoint at talker/. The unit contract is unchanged: 8 Thinker text tokens
and 50 S3 speech tokens per 1 s unit.
License
Apache-2.0, as upstream. See thinker/LICENSE and thinker/NOTICE. The modification is the abliteration of the Thinker's language tower described above.
Identity and Version
- Repository
- justsumguy/Gander-ablated
- Publisher
- Jared H
- Task
- Not stated by the source
- Modality
- Other
- Library
- transformers
- Parameters
- Not stated by the source
- Languages
- Not stated by the source
- Revision
- 7580cfda02c41423ad9040de75a50149cf91bfdb
- First published
- 2026-09-23
- Last updated
- 2026-09-23
Files and Weights
2 files, 4.7 KB in total.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| README.md | Documentation | 3.2 KB | — |
| .gitattributes | Repository | 1.5 KB | — |
License and Download
- License
- apache-2.0
- Access
- Open weights, no gate
Released by Jared H through its official repository on Hugging Face. Read the license.
Built From
- Derived from Gander-Omni/Gander
Built on This Model
- Quantized fromGander-ablated-NVFP4
- Derived fromGander-ablated-NVFP4
Questions About Gander-ablated
Can I use Gander-ablated commercially?
Yes. Gander-ablated is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.