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LFM family AI models

Browse LFM models and fine-tunes. Check base models, sizes, formats and available downloads.

Browse model families · Choosing a model: formats, memory and licenses

4 models in this listing

mlabonne

LFM2-1.2B-Pirate

Source-based description

mlabonne's derivative of LiquidAI/LFM2-1.2B, provided as safetensors weights under an 'other' license. The model card describes it as fine-tuned with Axolotl on the winglian/pirate-ultrachat-10k dataset, and includes an example assistant response written in pirate dialect. The creator says the training process was very fast and efficient and shows the fine-tuneability of the base model. These claims have not been independently tested here. The card's training configuration lists sequence_len 16384, which is a configuration value rather than verified usable context.

Model type (creator-reported)
fine-tuned
Size / main format1.17034Bsafetensors
License tagotherLast updated
2025-07-15 · 17:10:46.000 UTCOriginal model ↗: mlabonne/LFM2-1.2B-Pirate

mlabonne

LFM2.5-230M-Chess

Source-based description

mlabonne's chess fine-tune of LiquidAI's LFM2.5-230M-Base, released as safetensors weights with the license listed as other. The creator says it was trained using Stockfish distillation and that every possible chess move is a single token in the vocabulary, with 2,106 added token IDs recorded in token_ids.json. According to the model card, the model reads a position as a fixed 80-token prompt, predicts its own win probability, then predicts one move token, and the host masks the move logits to the legal moves so it cannot play an illegal move. The creator reports roughly 2004 Elo with a shallow depth-3 search on top and roughly 1500 with the raw one-pass policy; these playing-strength figures are the creator's and have not been independently tested here.

Model type (creator-reported)
fine-tuned
Size / main format230.689Msafetensors
License tagotherLast updated
2026-09-16 · 04:59:36.000 UTCOriginal model ↗: mlabonne/LFM2.5-230M-Chess

AtomicChat

LFM2.5-24B-A2B-Uncensored-GGUF

Source-based description

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.

Model type (creator-reported)
uncensoredfine-tuned
Size / main formatUnknownGGUF
License tagotherLast updated
2026-10-13 · 20:02:10.000 UTCOriginal model ↗: AtomicChat/LFM2.5-24B-A2B-Uncensored-GGUF

0xSojalSec

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

Source-based description

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'.

Model type (creator-reported)
uncensoredfine-tuned
Size / main formatUnknownGGUF
License tagotherLast updated
2026-10-14 · 02:50:05.000 UTCOriginal model ↗: 0xSojalSec/LFM2.5-24B-A2B-Uncensored-no-refusal