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qwopus3.8-27b-flash-attention8-bf16recurrence-vision-mtplx
Shiftedx/qwopus3.8-27b-flash-attention8-bf16recurrence-vision-mtplx
qwopus3.8-27b-flash-attention8-bf16recurrence-vision-mtplx is a image-text-to-text model from Shiftedx. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as apache-2.0.
Quality-oriented mixed-precision Apple-Silicon MLX release of Jackrong/Qwopus3.8-27B-Flash, retaining recurrent modules in BF16 while quantizing attention-heavy paths more aggressively.
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23.8 GB on disk
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.safetensors23.8 GB · 100%
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How the weights are stored.
U3226.9B · 98%
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Model card
From the Hugging Face model README
Qwopus3.8 27B Flash · Attention8 + BF16 Recurrence Vision MTPLX
Quality-oriented mixed-precision Apple-Silicon MLX release of Jackrong/Qwopus3.8-27B-Flash, retaining recurrent modules in BF16 while quantizing attention-heavy paths more aggressively.
Artifact
| Component | Format |
|---|---|
| Text body | 234 8-bit + 168 4-bit modules; 96 BF16 recurrent modules |
| Vision tower | BF16, 333 tensors |
| Native MTP sidecar | BF16, 15 tensors, depth 3 |
| Source revision | 44d24e8cb20ceb3cdf4fe200b5a0afd970ee748a |
| Qualified runtime | MTPLX 2.11.1 / MLX 0.32.2 |
The conversion used the pinned BF16 safetensors source—not a requantization of the GGUF release.
Run
mtplx serve --model Shiftedx/qwopus3.8-27b-flash-attention8-bf16recurrence-vision-mtplx \
--download --profile sustained --depth 3 --no-auth
This starts the local OpenAI-compatible endpoint. The packaged tokenizer, processor, vision weights, chat template, and MTP runtime contract are included.
Local qualification
One cold 192-token code row, seed 42, on an M4 Max 64 GB with automatic fan control:
| AR | MTP D3 | D3 / AR |
|---|---|---|
| 18.65 tok/s | 53.44 tok/s | 2.87× |
AR/D1/D2/D3 output checks passed. MTPLX inspection reported verified, runnable, and 15/15 MTP tensors. Strict text load returned the expected 42; vision identified the test shape/color exactly; the OpenAI-compatible native-MTP D3 smoke also returned 42. These are narrow local qualification results, not a cross-hardware benchmark.
Integrity and notes
- Vision SHA-256:
7a252e5c7bb02ed6533f905a566ab037356ffb4949d04df8d6d2a3fa5e3af6b9 - MTP SHA-256:
4468f39621de68a19ffd0bcb2e2e2f352205def7436a625b3427e3752866c287 SHA256SUMScovers every packaged artifact file except itself.- The upstream tokenizer's Mistral-regex warning is preserved for exact source lineage. The packaged chat template expects string-valued message content.
- Quantization can change quality. Apply the source model's license and limitations to this derivative.
- Task
- Image-Text-to-Text
- Library
- mlx
- Type
- qwen3_5
- License
- apache-2.0
- Languages
- en, zh, es, ru, ja
- Created
- Sep 4, 2026
- Updated
- Sep 4, 2026