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sjoe1244/gemma-4-31B-it-uncensored-heretic-exl3-3.00bpw-h6

sjoe1244 Gemma 31B multimodal second-order
curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/sjoe1244%2Fgemma-4-31B-it-uncensored-heretic-exl3-3.00bpw-h6"
Response includes
  • classification m3
  • files 12
  • author_summary 3 models
  • readme_text full
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Abliteration classifier · v1.0.0
M3
Primary method

Layer-wise ablation

Applied on top of direct removal inherited from the base model.
Confidence
HIGH
Inherited from base model
Why this label 2 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • 'heretic' in model name (Heretic-produced)
  • Heretic uses layer-wise optimization (M3) with underlying direction removal (M1)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
HIGH
Why we say so
name contains 'heretic'; Heretic default extraction is difference-of-means (Arditi 2024)
Downloads · 30-day
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Likes
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Model age
today
created 2026-09-19

Genealogy 0 direct forks

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Metadata

License
apache-2.0
Tags
safetensors gemma4 exl3 exllamav3 heretic uncensored vision base_model:llmfan46/gemma-4-31B-it-uncensored-heretic base_model:quantized:llmfan46/gemma-4-31B-it-uncensored-heretic license:apache-2.0 3-bit region:us

Related

Total size
14.9 GB
Files
12
Quantizations
1
Registered
2026-09-19 22:56
Last updated on HF
2026-09-19 22:42

Files by quantization

Auxiliary files 12 files 15.0 GB
model-00001-of-00002.safetensors 7.92 GB 4f807ce8 download
model-00002-of-00002.safetensors 7.01 GB cbd24e3c download
tokenizer.json 30.7 MB a2619fe1 download
quantization_config.json 648 KB 8d70c05b download
model.safetensors.index.json 240 KB f3f1eb84 download
chat_template.jinja 22.5 KB 4486ce43 download
config.json 5.62 KB 6c10b904 download
README.md 2.39 KB 3c9ea98b download
tokenizer_config.json 2.05 KB 375b25dc download
processor_config.json 1.65 KB 5465974d download
.gitattributes 1.53 KB 52373fe2 download
generation_config.json 217 B ed42ae71 download

README current version from Hugging Face


license: apache-2.0
base_model: llmfan46/gemma-4-31B-it-uncensored-heretic
base_model_relation: quantized
tags:

  • exl3
  • exllamav3
  • gemma4
  • heretic
  • uncensored
  • vision
    inference: false

gemma-4-31B-it-uncensored-heretic EXL3 3.00bpw h6

EXL3 export of llmfan46/gemma-4-31B-it-uncensored-heretic
for ExLlamaV3 / TabbyAPI. Vision tower included.

Load with ExLlamaV3 or TabbyAPI's exllamav3 loader. This will not load in
Transformers, vLLM or llama.cpp.

Quantization

From quantization_config.json:

Method EXL3
ExLlamaV3 1.4.2
Weights 3.0 bpw
Head 6 bits
Codebook mul1
Output scales always
Calibration 250 rows x 2048 cols

All 832 language-model tensors are quantized. All 356 vision tensors are carried
unchanged in BF16 in the same shards, so image input works without a second
download. config.json carries an audio_config, but the checkpoint has no
audio tensors — neither does the source or google/gemma-4-31B-it, so this is
an image+text model.

Converted on an RTX 4090 on 2026-09-10 from the BF16 source (62.5 GB).

Files

File Notes
model-0000{1,2}-of-00002.safetensors EXL3 weights + BF16 vision, 16.06 GB total
quantization_config.json EXL3 parameters, per-tensor storage map
chat_template.jinja Gemma 4 chat template (it is not in tokenizer_config.json)
processor_config.json Gemma 4 vision processor
tokenizer.json / tokenizer_config.json tokenizer

Serving

Run here daily on a 24 GB RTX 4090 under TabbyAPI:

max_seq_len: 98304
cache_size: 98304
cache_mode: 3,3        # Q3 K/V — needed to fit 96K context
chunk_size: 128
gpu_split_auto: true
prompt_template: gemma4

Measured 17.4 GiB VRAM with the vision tower loaded and the full 96K Q3 cache
allocated. Weights alone are 14.9 GiB, so a 16 GB card fits the weights but has
almost nothing left for context.

At 3.0 bpw this is a lossy quant chosen to fit long context on one 4090. If you
have the VRAM, a 4.0+ bpw export will be noticeably better.

Credit and license

Apache 2.0, matching google/gemma-4-31B-it and the source model.
Decensoring credit belongs to llmfan46 — this
repo is only the EXL3 export. Quantization by
ExLlamaV3.

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