This is a local MLX/VLM release of migtissera/Tess-4-27B, converted and quantized to MXFP4 for Apple Silicon, then edited with our refusal-direction ablation workflow. It preserves the Tess/Qwen3.6 vision tower and the Qwen3.5-family multimodal chat template.
This is the standard non-MTPLX artifact. Use the paired MTPLX repository only when you specifically want MTPLX native MTP speculative decoding.
Base architecture: Qwen3.6/Qwen3.5-family image-text-to-text
License: Apache-2.0
Chat format: Qwen chat template with <think> reasoning blocks
Conversion
Runtime format: MLX
Quantization: MXFP4, 4-bit, group size 32
Language body size: about 13 GiB
Vision tower: BF16 vision tensors grafted from the source model
Vision tensor count: 333
MTP sidecar: not included in this repo
The non-MTPLX config intentionally advertises mtp_num_hidden_layers = 0 and does not reference mtp.safetensors.
Abliteration Notes
The selected candidate used residual-direction weight orthogonalization against a Tess-specific refusal direction.
Setting
Value
Strength
2.5
Targets
attention, dense_down
Edited modules
128
Direction scope
global
Preserve column norm
true
Heldout screen, no code execution:
Variant
Refusal rate
Benign refusal rate
Utility pass rate
Avg generation tok/s
Parent MXFP4
1.00
0.00
1.00
23.91
Selected strength 2.5
0.00
0.00
1.00
24.22
Strength 3.0 trial
0.00
0.00
0.50
26.20
Strength 2.5 was selected because the 3.0 trial harmed utility in the heldout screen.
Vision Validation
mlx_vlm.generate smoke passed locally after the vision graft. The smoke image was described as:
A close-up of a white ceramic mug with a black handle, filled with dark coffee and topped with a swirl of foam.
BenchLocal Light Screen
The MTPLX paired artifact was run through a light BenchLocal screen:
Pack
Pass / Total
Score
Failed IDs
toolcall-15
11/15
73%
TC-03, TC-07, TC-11, TC-12
instructfollow-15
14/15
93%
IF-14
Total
25/30
83%
Important caveat: this was a non-canonical quick run with thinking disabled, max_tokens=2048, and timeout_per_case=90. It is a fast quality screen, not directly comparable to the upstream model-card full BenchLocal score of 122/150 for Tess-4-27B Q8.
Usage
Install:
pip install -U mlx mlx-lm mlx-vlm
Vision:
bash
1python -m mlx_vlm.generate \2 --model Shiftedx/Tess-4-27B-Abliterated-MXFP4-Vision-MLX \3 --image path/to/image.png \4 --prompt "Describe this image in one sentence."\5 --max-tokens 128
Text-only prompts should also work through recent MLX-compatible runners that support Qwen3.5/Qwen3.6. For local app use, this standard repo is the LM Studio-oriented artifact; the MTPLX repo is for MTPLX.
Compatibility Notes
Recent LM Studio builds support MLX models, including VLMs, on Apple Silicon.
Qwen3.5-family models are listed by LM Studio as available in GGUF and MLX, with tool use, vision input, and reasoning support.
If you only need stock LM Studio behavior, use this repo rather than the MTPLX wrapper.
Limitations
MXFP8 was not produced in this pass because local disk headroom was kept above the workflow safety floor.
Vision was validated with MLX-VLM locally. Always run a small smoke test in the exact app/runtime you plan to use.
This is an ablated research artifact, not a safety guarantee. Evaluate behavior before deployment.
