Model Detail
LFM2.5-Embedding-350M
—LFM2.5-Embedding-350M is a code generation model with 177M parameters released by LiquidAI. The model is registered under the sentence-similarity pipeline tag on Hugging Face, distributed under a other license.
LFM2.5-Embedding-350M ships with 177M parameters. Distribution is governed by the other license — review the exact terms before commercial deployment.
LFM2.5-Embedding-350M is best fit for code completion, repository-scale Q&A, and pair-programming integrations. It is a less obvious choice for one-shot generation of security-critical code without review. 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.
Run fast, private agents on-device with LFM2.5-24B-A2B
Accelerating vision-language models with LFM2.5-VL-DSpark
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
