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LFM2.5 24B A2B Abliterated MLX 4bit by notfakerv

By notfakerv · 308 downloads

LFM2.5 24B A2B Abliterated MLX 4bit is an open-source language model by notfakerv. Features: 24b LLM, VRAM: 13.5GB, Context: 128K, License: other, Quantized, LLM Explorer Score: 0.31.

  4-bit   4bit   Abliterated   Ar Base model:notfakerv/lfm2.5-24... Base model:quantized:notfakerv...   Conversational   De   En   Es   Fr   Hi   Id   It   Ja   Ko   Lfm2.5   Lfm2 moe   Mlx   Mlx-lm   Moe   Pl   Pt   Quantized   Region:us   Ru   Safetensors   Sharded   Tensorflow   Th   Vi   Zh

LFM2.5 24B A2B Abliterated MLX 4bit Parameters and Internals

LLM NameLFM2.5 24B A2B Abliterated MLX 4bit
Repository πŸ€—https://huggingface.co/notfakerv/LFM2.5-24B-A2B-abliterated-MLX-4bit 
Base Model(s)  notfakerv/LFM2.5-24B-A2B-abliterated   notfakerv/LFM2.5-24B-A2B-abliterated
Model Size24b
Required VRAM13.5 GB
Updated2026-10-20
Maintainernotfakerv
Model Typelfm2_moe
Model Files  5.4 GB: 1-of-3   5.3 GB: 2-of-3   2.8 GB: 3-of-3
Supported Languagesen ar zh fr de ja ko es pt it vi th id hi ru pl
Quantization Type4bit
Model ArchitectureLfm2MoeForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version5.19.0
Tokenizer ClassTokenizersBackend
Padding Token<|pad|>
Vocabulary Size128000

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Note: green Score (e.g. "73.2") means that the model is better than notfakerv/LFM2.5-24B-A2B-abliterated-MLX-4bit.