← back to catalog · registered 2026-08-22 13:56

mradermacher/Muse-Glimmer-30B-Heretic-Abliterated-BF16-i1-GGUF

mradermacher 30B GGUF second-order 131K ctx
Your rig guess connected
? Why do I need an app?
Reading your rig…

This is a rough estimate. Install the free app - we'll show exact numbers.

Reading real hardware from your app right now. Numbers below are exact.

Below is the per-quantization compatibility for this model.

curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/mradermacher%2FMuse-Glimmer-30B-Heretic-Abliterated-BF16-i1-GGUF"
Response includes
  • classification m3
  • files 26
  • hub_downloads_all_time 7,685
  • author_summary 3324 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
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 · lifetime
8K
1K last 30d - stable
Likes
6
Model age
2mo ago
created 2026-08-12
Downloads over time
Now8.2K→from0↑0%
03K6K9K0 on Aug 128.2K on Oct 11AugSepOct
Aug 12 → Oct 11 · 49 snapshots · spans 60 days

Genealogy 0 direct forks

Full fork graph →

This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

Variants by this author 2 formats · 2K downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

License
apache-2.0
Languages
en
Quantizations
BF16
Tags
transformers gguf heretic abliterated uncensored Muse-Glimmer 30B Heretic BF16 en base_model:mlasli/Muse-Glimmer-30B-Heretic-Abliterated-BF16 base_model:quantized:mlasli/Muse-Glimmer-30B-Heretic-Abliterated-BF16

Related

Total size
283 GB
Files
26
Quantizations
2
Registered
2026-08-22 13:56
Last updated on HF
2026-08-12 12:23

Files by quantization

BF16 24 files 283 GB
Muse-Glimmer-30B-Heretic-Abliterated-BF16.i1-Q6_K.gguf 21.3 GB 1bc7e1cc download
Muse-Glimmer-30B-Heretic-Abliterated-BF16.i1-Q5_K_M.gguf 18.5 GB 99c00b22 download
Muse-Glimmer-30B-Heretic-Abliterated-BF16.i1-Q5_K_S.gguf 18.0 GB 577d18d4 download
Muse-Glimmer-30B-Heretic-Abliterated-BF16.i1-Q4_1.gguf 16.5 GB 02036a54 download
Muse-Glimmer-30B-Heretic-Abliterated-BF16.i1-Q4_K_M.gguf 15.8 GB 04316ee6 download
Muse-Glimmer-30B-Heretic-Abliterated-BF16.i1-Q4_K_S.gguf 15.0 GB 9dc9c7a8 download
Muse-Glimmer-30B-Heretic-Abliterated-BF16.i1-Q4_0.gguf 15.0 GB 8a3dd2c5 download
Muse-Glimmer-30B-Heretic-Abliterated-BF16.i1-IQ4_XS.gguf 14.2 GB 9ebc2159 download
Muse-Glimmer-30B-Heretic-Abliterated-BF16.i1-Q3_K_L.gguf 13.7 GB 87ea6425 download
Muse-Glimmer-30B-Heretic-Abliterated-BF16.i1-Q3_K_M.gguf 12.7 GB 3f27e235 download
Muse-Glimmer-30B-Heretic-Abliterated-BF16.i1-IQ3_M.gguf 11.9 GB ac391c39 download
Muse-Glimmer-30B-Heretic-Abliterated-BF16.i1-IQ3_S.gguf 11.7 GB 73a99cb1 download
Muse-Glimmer-30B-Heretic-Abliterated-BF16.i1-Q3_K_S.gguf 11.7 GB 0adb55b5 download
Muse-Glimmer-30B-Heretic-Abliterated-BF16.i1-IQ3_XS.gguf 11.1 GB e81ef912 download
Muse-Glimmer-30B-Heretic-Abliterated-BF16.i1-IQ3_XXS.gguf 10.4 GB 7fe6cffa download
Muse-Glimmer-30B-Heretic-Abliterated-BF16.i1-Q2_K.gguf 9.95 GB dedf11e7 download
Muse-Glimmer-30B-Heretic-Abliterated-BF16.i1-Q2_K_S.gguf 9.34 GB 28ea8c0b download
Muse-Glimmer-30B-Heretic-Abliterated-BF16.i1-IQ2_M.gguf 9.17 GB 40b61903 download
Muse-Glimmer-30B-Heretic-Abliterated-BF16.i1-IQ2_S.gguf 8.50 GB 156facb7 download
Muse-Glimmer-30B-Heretic-Abliterated-BF16.i1-IQ2_XS.gguf 8.12 GB 0917074d download
Muse-Glimmer-30B-Heretic-Abliterated-BF16.i1-IQ2_XXS.gguf 7.41 GB 6ce5638f download
Muse-Glimmer-30B-Heretic-Abliterated-BF16.i1-IQ1_M.gguf 6.58 GB c22aeecb download
Muse-Glimmer-30B-Heretic-Abliterated-BF16.i1-IQ1_S.gguf 6.08 GB cf041a01 download
Muse-Glimmer-30B-Heretic-Abliterated-BF16.imatrix.gguf 12.8 MB 6f0b54a4 download
Auxiliary files 2 files 10.8 KB
README.md 7.19 KB 7f00b97e download
.gitattributes 3.65 KB cfd63210 download

README current version from Hugging Face


base_model: mlasli/Muse-Glimmer-30B-Heretic-Abliterated-BF16
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • heretic
  • abliterated
  • uncensored
  • Muse-Glimmer
  • 30B
  • Heretic
  • BF16

About

weighted/imatrix quants of https://huggingface.co/mlasli/Muse-Glimmer-30B-Heretic-Abliterated-BF16

For a convenient overview and download list, visit our model page for this model.

static quants are available at https://huggingface.co/mradermacher/Muse-Glimmer-30B-Heretic-Abliterated-BF16-GGUF

This is a vision model - mmproj files (if any) will be in the static repository.

Usage

If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs
for
more details, including on how to concatenate multi-part files.

Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Link Type Size/GB Notes
GGUF imatrix 0.1 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 6.6 for the desperate
GGUF i1-IQ1_M 7.2 mostly desperate
GGUF i1-IQ2_XXS 8.1
GGUF i1-IQ2_XS 8.8
GGUF i1-IQ2_S 9.2
GGUF i1-IQ2_M 9.9
GGUF i1-Q2_K_S 10.1 very low quality
GGUF i1-Q2_K 10.8 IQ3_XXS probably better
GGUF i1-IQ3_XXS 11.2 lower quality
GGUF i1-IQ3_XS 12.1
GGUF i1-Q3_K_S 12.6 IQ3_XS probably better
GGUF i1-IQ3_S 12.6 beats Q3_K*
GGUF i1-IQ3_M 12.9
GGUF i1-Q3_K_M 13.8 IQ3_S probably better
GGUF i1-Q3_K_L 14.8 IQ3_M probably better
GGUF i1-IQ4_XS 15.3
GGUF i1-Q4_0 16.2 fast, low quality
GGUF i1-Q4_K_S 16.2 optimal size/speed/quality
GGUF i1-Q4_K_M 17.0 fast, recommended
GGUF i1-Q4_1 17.8
GGUF i1-Q5_K_S 19.4
GGUF i1-Q5_K_M 19.9
GGUF i1-Q6_K 23.0 practically like static Q6_K

Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):

image.png

And here are Artefact2's thoughts on the matter:
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to
questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.

README history 4 versions

The author's README evolved over time. Click a version to see its content at that point.

  1. 2026-08-12auto-patch README.md19f340d7.2 KB
    Loading...
  2. 2026-08-12auto-patch README.mdcabc5c17.2 KB
    Loading...
  3. 2026-08-12auto-patch README.mdcb87eef3.9 KB
    Loading...
  4. 2026-08-12uploaded from nico16e815f6494 B
    Loading...
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration