Model Detail
LFM2.5-2.6B
▼ 28.7%LFM2.5-2.6B is a large language model with 2.6B parameters released by LiquidAI. The model is registered under the text-generation pipeline tag on Hugging Face, and supports text->text inputs, distributed under a other license.
LFM2.5-2.6B ships with 2.6B parameters. Total weight footprint is approximately 2.7 GB, which is the relevant figure when planning local-inference VRAM. Distribution is governed by the other license — review the exact terms before commercial deployment.
Downloads of LFM2.5-2.6B have moved -28.7% over the past 24 hours, -27.6% over the trailing seven days. The decline is steep, which typically signals a newer release displacing this checkpoint or a known issue surfacing in the community. These numbers are signal, not guarantee — week-over-week download counts on Hugging Face also reflect mirror traffic, CI scrapes, and one-off benchmarking runs.
LFM2.5-2.6B is best fit for general-purpose chat and instruction-following workloads. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.
Up to 3.2x Faster Inference with LFM2.5-DSpark
LFM2.5-Encoders for Fast Long-Context Inference on CPU
Masked Diffusion Language Models are Strong and Steerable Text-Based World Models for Agentic RL
arXiv:2607.16204v1 Announce Type: new Abstract: Recent growth in reinforcement learning (RL) has surfaced a need for diverse, specialized training environments. Hand-curated environments with fixed task and reward difficulties become ineffective signals as model performance improves, and sparse rewa
