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anlord/gemma-3-1b-it-Abliterated-GGUF

anlord Gemma 1B GGUF
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  • files 10
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Abliteration classifier · v1.0.0
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Primary method

Unclassified

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Confidence
UNKNOWN
Why this label 1 signal
No classification signals present. This may not be an abliterated model at all - it could be a repackaging, a merge with unrelated goals, or unrelated content that mentions the term.
  • no classification signals present (no abliterated, uncensored, or known producer/method markers)
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created 2026-10-01

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Variants by this author 2 formats · 0 downloads combined

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Metadata

License
gemma
Quantizations
BF16 F16
Tags
gguf gemma3 gemma abliterated llama.cpp quantized text-generation base_model:google/gemma-3-1b-it base_model:quantized:google/gemma-3-1b-it license:gemma endpoints_compatible region:us

Related

Total size
8.70 GB
Files
10
Quantizations
3
Registered
2026-10-01 16:58
Last updated on HF
2026-10-01 16:28

Files by quantization

BF16 1 file 1.88 GB
gemma-3-1b-it-abliterated-bf16.gguf 1.88 GB 0a549c55 download
F16 1 file 1.88 GB
gemma-3-1b-it-abliterated-f16.gguf 1.88 GB b550bea8 download
Auxiliary files 8 files 4.95 GB
gemma-3-1b-it-abliterated-q8_0.gguf 1.00 GB eeca43c6 download
gemma-3-1b-it-abliterated-q6_k.gguf 973 MB 3ebf39ca download
gemma-3-1b-it-abliterated-q5_k_m.gguf 820 MB 3247343d download
gemma-3-1b-it-abliterated-q5_0.gguf 778 MB f4032615 download
gemma-3-1b-it-abliterated-q4_k_m.gguf 777 MB 1dcb6220 download
gemma-3-1b-it-abliterated-q4_0.gguf 695 MB 85e28aa3 download
README.md 3.14 KB c2833746 download
.gitattributes 2.05 KB b537e6bc download

README current version from Hugging Face


license: gemma
base_model: google/gemma-3-1b-it
tags:

  • gemma3
  • gemma
  • gguf
  • abliterated
  • llama.cpp
  • quantized
    pipeline_tag: text-generation

gemma-3-1b-it-Abliterated-GGUF

GGUF quantizations of gemma-3-1b-it-Abliterated.

The base model was abliterated using AnlordAbliterator 1.4.0 and then converted to GGUF and quantized into multiple formats.

Available Quantizations

Quantization File
BF16 gemma-3-1b-it-abliterated-bf16.gguf
F16 gemma-3-1b-it-abliterated-f16.gguf
Q8_0 gemma-3-1b-it-abliterated-q8_0.gguf
Q6_K gemma-3-1b-it-abliterated-q6_k.gguf
Q5_K_M gemma-3-1b-it-abliterated-q5_k_m.gguf
Q5_0 gemma-3-1b-it-abliterated-q5_0.gguf
Q4_K_M gemma-3-1b-it-abliterated-q4_k_m.gguf
Q4_0 gemma-3-1b-it-abliterated-q4_0.gguf

Which Quantization Should I Use?

A simple rule of thumb:

Quantization Quality Size Recommended for
BF16 ★★★★★ Very large Maximum precision
F16 ★★★★★ Large Maximum precision
Q8_0 ★★★★★ Large Near-original quality
Q6_K ★★★★★ Medium High quality
Q5_K_M ★★★★☆ Medium Quality / size balance
Q5_0 ★★★★☆ Medium General use
Q4_K_M ★★★★☆ Small Recommended default
Q4_0 ★★★☆☆ Smallest Maximum memory savings

Q4_K_M is the recommended starting point for most users who want a good balance between quality and memory usage.

Base Model

google/gemma-3-1b-it

Original model:

https://huggingface.co/google/gemma-3-1b-it

Abliterated Transformers version:

https://huggingface.co/anlord/gemma-3-1b-it-Abliterated

Abliteration

The base model was processed with AnlordAbliterator 1.4.0.

Results

Model: google/gemma-3-1b-it

Initial refusals: 97 / 104
Final refusals:    5 / 104

KL divergence: 0.10103859007358551

200 optimization trials

Tool

AnlordAbliterator

Running with llama.cpp

Example:

llama-cli -m gemma-3-1b-it-abliterated-q4_k_m.gguf

The GGUF files are intended for use with GGUF-compatible software such as llama.cpp and other compatible inference applications.

License

This repository contains derivative model files based on google/gemma-3-1b-it.

The original gemma-3-1b-it model is released under the Gemma Terms of Use and is gated on Hugging Face.

Refer to the original model repository for the applicable license terms.

Disclaimer

These quantizations are derived from an abliterated version of gemma-3-1b-it.

Quantization may introduce small differences in model behavior and output quality compared with the original Safetensors model.

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