LFM2.5 2.6B GGUF is a text-generation GGUF checkpoint from the LiquidAI/LFM2.5-2.6B-GGUF repository. It is part of the LFM2.5 hybrid model family, described in the model card as designed for on-device deployment and built on the LFM2 architecture with extended pre-training and reinforcement learning. The card lists multilingual support for Arabic, Chinese, English, French, German, Hindi, Indonesian, Italian, Japanese, Korean, Polish, Portuguese, Russian, Spanish, Thai, and Vietnamese. The repository provides GGUF files for llama.cpp, including a Quantization-Aware Distillation QAD Q4_0 GGUF and a post-training-quantized Q4_0 GGUF, plus FP32 QAD source weights under qad/ for Transformers fine-tuning and experimentation. The license is lfm1.0. No performance, hardware, compatibility, or numerical requirements are stated here beyond the supplied facts.
Format
Q4_K_M GGUF weights
Freshness 75 out of 100. Repository age: 75 days old, Aug 1, 2026. Measures age, not quality.Freshness75/10075 days old
Popularity 78 out of 100. 904,724 downloads in 30 days; 379 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.Popularity78/100904.7K downloads / 30d
LFM2.5-2.6B is a text-generation model from LiquidAI with 2.69B parameters, a 131,072-token context window, and a 128,000-token vocabulary. It uses a hybrid architecture with 30 layers, including 22 double-gated short convolution blocks and 8 GQA layers, and was trained on 34 trillion tokens. The model is described as general-purpose, text-only, and post-trained for agentic workloads, with multilingual coverage across 16 languages. It is distributed under the lfm1.0 license and supports safetensors and text-generation tags.
Model size
2.70B
Format
FP16 weights
Context
131,072
Freshness 74 out of 100. Repository age: 79 days old, Jul 28, 2026. Measures age, not quality.Freshness74/10079 days old
Popularity 70 out of 100. 114,916 downloads in 30 days; 831 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.Popularity70/100114.9K downloads / 30d
LFM2.5-VL-3B is a multimodal variant of the LFM2.5 hybrid model family designed for on-device deployment. It processes text and images, using LFM2.5-2.6B as its language backbone and a SigLIP2 NaFlex vision encoder. The model reports improved grounding and object detection with natural language queries, full-page OCR with layout annotation, and efficient inference (reported 228 tok/s on Apple M5 Max and 116 tok/s on AMD Ryzen AI Max+ 395, under 3.3 GB memory). It supports 16 languages and a 32,768-token context length, with native resolution processing that splits large images into non-overlapping 512x512 patches plus a resized whole-image thumbnail. The model is available under the LFM 1.0 license and is tagged for image-text-to-text, with exports including GGUF, ONNX, and MLX variants.
Model size
3.12B
Format
FP16 weights
Freshness 78 out of 100. Repository age: 65 days old, Aug 11, 2026. Measures age, not quality.Freshness78/10065 days old
Popularity 60 out of 100. 29,488 downloads in 30 days; 225 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.Popularity60/10029.5K downloads / 30d