Note:
This is a user-maintained mirror (Vikram Lingam's repository) specifically for the
Q4_K_M GGUF
version of the LiquidAI LFM 2.5 model. This repo is optimized for high-quality, lightweight deployment. For official support, other quantizations, or the original weights, please visit the
Official LiquidAI Hub
.
LFM2.5 is a new family of hybrid models designed for
on-device deployment
. It builds on the LFM2 architecture with extended pre-training and reinforcement learning.
LFM2.5-1.2B-Instruct-Q4_K_M huggingface.co is an AI model on huggingface.co that provides LFM2.5-1.2B-Instruct-Q4_K_M's model effect (), which can be used instantly with this vikramlingam LFM2.5-1.2B-Instruct-Q4_K_M model. huggingface.co supports a free trial of the LFM2.5-1.2B-Instruct-Q4_K_M model, and also provides paid use of the LFM2.5-1.2B-Instruct-Q4_K_M. Support call LFM2.5-1.2B-Instruct-Q4_K_M model through api, including Node.js, Python, http.
LFM2.5-1.2B-Instruct-Q4_K_M huggingface.co is an online trial and call api platform, which integrates LFM2.5-1.2B-Instruct-Q4_K_M's modeling effects, including api services, and provides a free online trial of LFM2.5-1.2B-Instruct-Q4_K_M, you can try LFM2.5-1.2B-Instruct-Q4_K_M online for free by clicking the link below.
vikramlingam LFM2.5-1.2B-Instruct-Q4_K_M online free url in huggingface.co:
LFM2.5-1.2B-Instruct-Q4_K_M is an open source model from GitHub that offers a free installation service, and any user can find LFM2.5-1.2B-Instruct-Q4_K_M on GitHub to install. At the same time, huggingface.co provides the effect of LFM2.5-1.2B-Instruct-Q4_K_M install, users can directly use LFM2.5-1.2B-Instruct-Q4_K_M installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
LFM2.5-1.2B-Instruct-Q4_K_M install url in huggingface.co: