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drowzeys/keys-GLM-5.3-EXL3-2.75BPW-Abliterated

drowzeys Glm MoE
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  • classification m-uncensored
  • files 92
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Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
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Model age
today
created 2026-10-05

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Metadata

License
mit
Languages
en zh
Tags
transformers safetensors glm_moe_dsa text-generation glm glm-5.3 abliterated uncensored moe exl3 tensorfold dgx-spark

Related

Total size
257 GB
Files
92
Quantizations
1
Registered
2026-10-05 04:58
Last updated on HF
2026-10-05 04:33

Files by quantization

Auxiliary files 92 files 257 GB
model-00001-of-00080.safetensors 6.11 GB ******** download
model-00002-of-00080.safetensors 4.67 GB ******** download
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model-00011-of-00080.safetensors 4.66 GB ******** download
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model-00061-of-00080.safetensors 4.66 GB ******** download
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model-00021-of-00080.safetensors 4.66 GB ******** download
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model-00007-of-00080.safetensors 4.66 GB ******** download
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model-00045-of-00080.safetensors 4.66 GB ******** download
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model-00079-of-00080.safetensors 4.66 GB ******** download
model-00035-of-00080.safetensors 4.66 GB ******** download
model-00029-of-00080.safetensors 4.66 GB ******** download
model-00019-of-00080.safetensors 4.66 GB ******** download
model-00059-of-00080.safetensors 4.66 GB ******** download
model-00003-of-00080.safetensors 4.51 GB ******** download
model-00080-of-00080.safetensors 4.35 GB ******** download
model-00004-of-00080.safetensors 3.11 GB ******** download
model-00020-of-00080.safetensors 1.55 GB ******** download
model-00060-of-00080.safetensors 1.55 GB ******** download
model-00030-of-00080.safetensors 1.55 GB ******** download
model-00036-of-00080.safetensors 1.55 GB ******** download
model-00014-of-00080.safetensors 1.55 GB ******** download
model-00016-of-00080.safetensors 1.55 GB ******** download
model-00028-of-00080.safetensors 1.55 GB ******** download
model-00018-of-00080.safetensors 1.55 GB ******** download
model-00032-of-00080.safetensors 1.55 GB ******** download
model-00046-of-00080.safetensors 1.55 GB ******** download
model-00058-of-00080.safetensors 1.55 GB ******** download
model-00008-of-00080.safetensors 1.55 GB ******** download
model-00048-of-00080.safetensors 1.55 GB ******** download
model-00040-of-00080.safetensors 1.55 GB ******** download
model-00064-of-00080.safetensors 1.55 GB ******** download
model-00022-of-00080.safetensors 1.55 GB ******** download
model-00024-of-00080.safetensors 1.55 GB ******** download
model-00054-of-00080.safetensors 1.55 GB ******** download
model-00070-of-00080.safetensors 1.55 GB ******** download
model-00026-of-00080.safetensors 1.55 GB ******** download
model-00056-of-00080.safetensors 1.55 GB ******** download
model-00062-of-00080.safetensors 1.55 GB ******** download
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model-00068-of-00080.safetensors 1.55 GB ******** download
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model-00006-of-00080.safetensors 1.55 GB ******** download
model-00012-of-00080.safetensors 1.55 GB ******** download
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model-00074-of-00080.safetensors 1.55 GB ******** download
model-00042-of-00080.safetensors 1.55 GB ******** download
model-00038-of-00080.safetensors 1.55 GB ******** download
model-00044-of-00080.safetensors 1.55 GB ******** download
model-00010-of-00080.safetensors 1.55 GB ******** download
model-00078-of-00080.safetensors 1.55 GB ******** download
model-00034-of-00080.safetensors 1.55 GB ******** download
model-00066-of-00080.safetensors 1.55 GB ******** download
model-00076-of-00080.safetensors 1.55 GB ******** download
model.safetensors.index.json 19.6 MB ******** download
tokenizer.json 19.3 MB ******** download
config.json 214 KB a63c66bf download
quantization_config.json 172 KB 95d3c2bb download
chat_template.jinja 10.5 KB 9aff9c44 download
README.md 5.83 KB 3e27af49 download
RESPONSIBLE_USE.md 2.96 KB 9a4ebaa8 download
.gitattributes 1.60 KB a09db2ea download
tokenizer_config.json 761 B e375fa0a download
ABLIT.json 393 B f12745ff download
KEYS35_ASSEMBLY_REPORT.json 216 B 5f817ac5 download
generation_config.json 194 B 216bbb09 download

README current version from Hugging Face


license: mit
license_link: https://huggingface.co/zai-org/GLM-5.3
language:

  • en
  • zh
    tags:
  • glm
  • glm-5.3
  • abliterated
  • uncensored
  • moe
  • exl3
  • tensorfold
  • dgx-spark
  • gb10
    base_model: drowzeys/keys-GLM-5.3-EXL3-2.75BPW
    base_model_relation: finetune
    library_name: transformers
    pipeline_tag: text-generation
    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_prompt: |

Responsible Use Agreement

This model has had safety refusals removed. That makes it useful for red-teaming, security research, evaluation, and unfiltered assistant tasks — and also removes guardrails a user must therefore supply themselves.

Prohibited uses (you must agree before access is granted):

  • Anything involving the sexual exploitation or endangerment of minors.
  • You must be of age 18 years or older to use and download this model.
  • You agree any information generated that can cause harm in terms of generating recipe, knowledge to make any materials/substances is your own input and responsibility. You will be accountable for any harm/damage caused by your action/input.
  • Content promoting self-harm or suicide.
  • Generation of material that is illegal in your jurisdiction, or that targets real individuals for harassment, doxxing, or fraud.
  • Any use prohibited by the upstream Z.AI / GLM MIT license.

You are responsible for adding appropriate safety filtering, human review, and access controls for your deployment. The weights are provided as-is, with no warranty. The license is inherited from the upstream Z.AI GLM-5.3 MIT license — review and comply with it before use or redistribution.
extra_gated_fields:
Username: text
Email: text
Reason for intended use: text
I am 18 years of age or older: checkbox
I will not use this model for any sexual exploitation or endangerment of minors: checkbox
I accept full responsibility for my inputs and any harm from generated content: 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 ZAI GLM MIT license: checkbox
I agree to the Responsible Use terms above: checkbox

keys-GLM-5.3-EXL3-2.75BPW-Abliterated

Abliterated build of drowzeys/keys-GLM-5.3-EXL3-2.75BPW — same mixed-K EXL3 2.75 bpw pack, same TensorFold TP4 recipe, with the Blackfrost derisk edit baked into the non-expert EXL3 K5 tensors.

See RESPONSIBLE_USE.md and the gate form above. Access is gated with automatic approval after you agree.

HF https://huggingface.co/drowzeys/keys-GLM-5.3-EXL3-2.75BPW-Abliterated
Parent (stock 2.75 bpw) drowzeys/keys-GLM-5.3-EXL3-2.75BPW
Derisk donor drowzeys/keys-GLM-5.3-EXL3-Abliterated (Blackfrost α=3.0 on BF16 o_proj / residual down_proj)
Serve recipe drowzeys/keys-TensorFold-GLM-5.3-TP4-4x-DGX-Spark
Upstream zai-org/GLM-5.3
Ablit L2–49 self_attn.o_proj + L2 dense down_proj + L3–49 shared down_proj, re-quantized EXL3 K5 mul1 (96 matrices / 384 tensors)
Anchors L0–1 and L50–78 (including MTP), routed experts, embed, lm_head stay parent stock
Gate (thinking off) refusal32 31/32 (item 4 still refuses) · cyber 22/22 · 0 garble

What was edited

The 2.75 bpw TensorFold checkpoint stores attention and shared-expert linears as EXL3 K5 mul1, so the donor's native F16 tensors cannot be dropped in. The same Blackfrost derisk tensors from the 3 bpw ablit pack were re-encoded to K5 (data-free fallback, proxy ~7–9e-4) and spliced into shards model-00002 and model-00003.

Routed experts (mixed 2/3/4-bit, mean 2.75), MTP, embeddings and the head are bit-identical to the parent.

ABLIT.json in this repo records the splice.

Run it (TensorFold, four DGX Sparks)

Same launcher as the parent. Image ghcr.io/drowzeys/keys-tensorfold-glm53-tp4-dgx-spark:2026-10-04-opt.

hf download drowzeys/keys-GLM-5.3-EXL3-2.75BPW-Abliterated --local-dir /models/GLM-5.3-EXL3-2.75BPW-Abliterated
export NODES="spark1 spark2 spark3 spark4" MODEL=/models/GLM-5.3-EXL3-2.75BPW-Abliterated
./one-shot.sh check && ./one-shot.sh up && ./one-shot.sh wait

OpenAI-compatible API on rank 0, port 8890, model name glm-5.3-tf. Speed matches the parent (prose ~42 tok/s / code ~38 tok/s on the published image, thinking on).

Layout

Part Format Bits
Routed experts (layers 3–77, 256 each) EXL3 trellis, mul1, per-expert width mean 2.75
MTP layer (78) experts EXL3 mul1 8
Attention, shared experts, dense MLPs 0–2 EXL3 mul1 5 (L2–49 o_proj / residual down_proj are the derisked K5)
kv_b, indexer wk / weights_proj, router, norms, embeddings, lm_head BF16 16

81 safetensors shards, ~258 GB. kv_a_proj_with_mqa is stored 640 wide (576 real + zero pad).

Credits

  • Z.ai — GLM-5.3.
  • Blackfrost AI (Blackfrost-Research) — BF16 derisk projections (GLM-5.3-DERISKED-BF16) adapted here via the Keys 3 bpw EXL3 ablit pack.
  • Ash Hart / TensorFold, MiaAI-Lab, Jay Leaton, BertholomusAI, turboderp / ExLlamaV3, vcruz305, b12x, NVIDIA — serving stack as on the parent card.

Use is subject to the GLM-5.3 license of the base model and the Responsible Use terms above.

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