AtomicChat / Model details
LFM2.5-24B-A2B-Uncensored-GGUF
AtomicChat/LFM2.5-24B-A2B-Uncensored-GGUF
Family: Unknown. No supported family evidence recorded.
About this model
AtomicChat's refusal-modified derivative of Liquid AI's LFM2.5-24B-A2B, shipped as GGUF weights. The creator describes projecting a refusal direction out of 52 matrices in blocks 14-39 at scale 1.75, leaving the earlier blocks, router and embeddings untouched, and ships six baked GGUF builds (12.1 to 25.7 GB) plus a 24 MB rank-1 LoRA adapter meant for existing quants of the original weights. According to the model card, held-out testing showed English refusals falling from 96.3% to 1.2% with MMLU essentially unchanged (64.40% to 65.55%), and the creator recommends the 15.4 GB AD-Q4_K_M build for 24 GB machines; these figures are the creator's own and have not been independently verified here. The card cautions that answers are phrased differently from the original, that only English and Russian refusals were measured, and that removing refusals does not make output safe, correct or lawful. The metadata lists the license as other, and the card names the LFM Open License v1.0.
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
- 2026-10-13 · 20:02:10.000 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-GGUF
- 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.
- Main repository files ↗GGUF
- No other explicitly linked versions recorded.
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.
Source provenance
- Downloads
- 48,227
- Likes
- 66
- Metadata checked
- 2026-10-24 · 04:11:48 UTC
- First seen in index
- 2026-10-24 · 04:11:48 UTC
- Source revision
- 1acb8f6eb027d85b7771dcc9eb68817aa480e9c8
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 AtomicChat/LFM2.5-24B-A2B-Uncensored-GGUF. 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.
Collection rules & limitations ↗