---

base_model: LiquidAI/LFM3-1.7B license: other license_name: lfm-open-license-v1.0 license_link: https://huggingface.co/LiquidAI/LFM3-1.7B/blob/main/LICENSE language:

• en
• zh
• de pipeline_tag: text-generation library_name: gguf tags:
• gguf
• quantized
• lfm3

---

LFM3-1.7B Uncensored — GGUF (by AtomicChat)

Safety-ablated GGUF of LiquidAI/LFM3-1.7B. A projected rank-1 LoRA (direction = mean harmful − mean harmless activations, with the harmless component projected out) is baked into the weights at W*=2.0, then AD-quantized.

What changed (measured)

metric	base	uncensored
refusals on harmful prompts	61.7%	0.0%
false refusals (XSTest)	5.2%	0.0%
MMLU (2000 q)	41.0%	41.0% (McNemar p=1.0 — no drop)
needle (long context)	3/3	3/3
ΔKLD vs base (neutral)	—	+0.019

A random edit of the same size dropped MMLU 1.3pp and had a larger ΔKLD (0.028), so the targeted direction is both more effective and less damaging. Thinking-loop and empty-output checks pass at W*=2.0.

Rungs

Rung	GB on disk	bpw
AD-Q6_K	1.6	7.31
AD-Q4_K_M	1.1	5.20

Run (llama.cpp)

Needs a build with LFM3 support (merged in llama.cpp #31252; produced at llama.cpp 19cce69).

llama-cli -hf AtomicChat/LFM3-1.7B-Uncensored-GGUF:AD-Q4_K_M -p "Hello"

Base model & license

Base model: LiquidAI/LFM3-1.7B. License: LFM Open License v1.0 (see LICENSE). This removes safety refusals; use responsibly and in line with the base license.

Quants by AtomicChat.