license: mit
language:
- en
- zh
tags: - deepseek
- deepseek-v4.1
- deepseek-v4.1-flash
- deepseek-v4.1-flash-1017
- exl3
- abliterated
- uncensored
- tensorfold
- dgx-spark
- gb10
- moe
- image-text-to-text
base_model: Mia-AiLab/DeepSeek-V4.1-Flash-1017-EXL3-EAQ-v1-2.9-bpw
library_name: transformers
pipeline_tag: image-text-to-text
extra_gated_heading: Acknowledge the Responsible Use Agreement to access this repository
extra_gated_description: Access is granted automatically after you agree to the terms below and submit the form.
extra_gated_button_content: Agree and request access
extra_gated_fields:
Username: text
Email: text
Reason for intended use: text
I am 18 years of age or older: checkbox
I accept full responsibility for my inputs and any harm from generated content: checkbox
I will not use this model for sexual exploitation or endangerment of minors: checkbox
I will not use this model for self-harm, suicide promotion, illegal activity, harassment, doxxing, or fraud: checkbox
I agree to comply with the upstream DeepSeek base-model license: checkbox
I agree to the Responsible Use terms in this card: checkbox
DeepSeek-V4.1-Flash-1017 EXL3 2.9 bpw ABliterated
This is a full, self-contained EXL3 checkpoint produced by applying the Keys
abliteration overlay to the Mia-AiLab EAQ-v1 2.9 bpw pack.
Sources and attribution
| piece | source | license |
|---|---|---|
| base EXL3 pack | Mia-AiLab/DeepSeek-V4.1-Flash-1017-EXL3-EAQ-v1-2.9-bpw | MIT |
| base checkpoint | deepseek-ai/DeepSeek-V4.1-Flash-1017 | MIT |
| Keys overlay and sidecar | drowzeys/keys-DeepSeek-V4.1-Flash-1017-Abliterated | MIT |
| sidecar used | exl3_wo_b_l10_35_mia29.safetensors |
MIT |
| engine used for validation | TensorFold, bertholomus deepseek-v41-zig family (TensorFold native Zig/CUDA) |
Apache-2.0 / MIT components |
The overlay changes only layers.10-35.attn.wo_b (104 tensors). All experts,
Engram, embed/head, vision, MTP and the remaining tensors are from the stock
pack. MTP dtypes are kept at stock F16 so the native TensorFold drafter readsmtp.2.confidence_head.proj.weight correctly (n_cast_f32: 0 in ABLIT_META.json).
Format
39 model-*.safetensors EXL3 shards, plus config/tokenizer/index/encoding andchat_template.jinja. This is the Mia EAQ layout read by the TensorFold
DeepSeek-V4.1 family; it is not a plain Transformers FP16 checkpoint.
Responsible Use
This model has had safety refusals removed, including cybersecurity offense and
defense rails. It is intended for red-teaming, security research, evaluation and
unfiltered assistant tasks. You are responsible for adding appropriate safety
filtering, human review and access controls for your deployment.
Prohibited uses:
- anything involving the sexual exploitation or endangerment of minors;
- content promoting self-harm or suicide;
- material illegal in your jurisdiction, or targeting real individuals for
harassment, doxxing or fraud; - any use prohibited by the upstream DeepSeek license.
You must be 18 or older. The checkpoint is provided as-is, with no warranty.