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0xSojalSec / Model details

LFM2.5-24B-A2B-Uncensored-no-refusal

0xSojalSec/LFM2.5-24B-A2B-Uncensored-no-refusal

uncensoredfine-tuned
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Family: Unknown. No supported family evidence recorded.

About this model

0xSojalSec's refusal-removed derivative of LiquidAI's LFM2.5-24B-A2B, provided as six pre-quantized GGUF builds and a 24 MB LoRA adapter. The creator says they used abliteration on blocks 14-39 only, reversing the refusal direction with a scale of 1.75, and reports that refusals fell from 96.3% to 1.2% in English and from 62% to 0% in Russian on held-out prompts while MMLU rose from 64.40% to 65.55%. The card warns that answers are phrased differently and that the edit was not tested on languages other than English and Russian. License is listed as 'other'.

Description sources

Source-based description, not an independent evaluation. Check the linked sources for the creator’s claims and limitations.

Size and formats

Base model
LiquidAI/LFM2.5-24B-A2B
Parameters
Unknown
Main repository formats
GGUF
License tag
other
Languages
ar, de, en, es, fr, it, ja, ko, pt, zh
Last updated
2026-10-14 · 02:50:05.000 UTC

What changed

Model types are creator-reported, not independently tested. These labels describe source metadata, not a guarantee of behavior.

  • uncensoredmodel name: LFM2.5-24B-A2B-Uncensored-no-refusal
  • fine-tunedsource tag: base_model:finetune:LiquidAI/LFM2.5-24B-A2B

Family evidence

These groupings are source-reported. Explicit base identifiers take priority over generic architecture tags.

  • No supported family evidence recorded.

Available versions

Versions appear here only when they explicitly name this exact model as their source. Check each repository for available files.

Customize or build on this model

Listed from public GitHub data, not tested by us. Read the code and license before you run anything.

Tools to customize it further

Make a smaller download (quantize)

  • llama.cpp ↗ ★ 132,124

    Runs models locally and includes the tools behind most GGUF files. A conversion script turns Hugging Face weights into GGUF, and llama-quantize shrinks a high-precision GGUF to lower-bit formats, which can cost some accuracy.

Learn the techniques

  • LLM Course ↗ ★ 84,633

    A free course with roadmaps and Colab notebooks. Its notebooks include one-click tools for merging with MergeKit, quantizing to GGUF, GPTQ, EXL2, AWQ and HQQ, and automatic abliteration with custom datasets.

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Source provenance

Downloads
1,042
Likes
4
Metadata checked
2026-10-24 · 04:11:48 UTC
First seen in index
2026-10-24 · 04:11:48 UTC
Source revision
253f179d3657d001987da93355890bb564dc1500

Source-card excerpt

Source model card excerpt: How to Run LFM2.5-24B-A2B Without Refusals Locally Liquid's refusal behaviour projected out of the original weights, in the second two thirds of the network

From 0xSojalSec/LFM2.5-24B-A2B-Uncensored-no-refusal. Creator model-card excerpt, not an independent review.

Inspect before you run

Low refusal is not proof of correctness. Outputs can be inaccurate, harmful, or biased. Review the model card, license and files yourself. A license tag is not commercial-use advice. Parameter counts are source metadata; no hardware compatibility is implied.

This directory does not run, host, redistribute, or test model weights.

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