NexLM research is centered on capable, efficient language models that can move beyond the data center. We are documenting the methods, systems work, and evaluations behind each release as they mature.
01 / Architecture
Efficient capability
We investigate architectures that preserve useful reasoning and general performance while remaining practical to deploy close to the user.
02 / Post-training
Behavior with intent
We refine model behavior for useful instruction following, technical work, and domain-specific tasks without losing directness.
03 / Evaluation
Real-world signals
Beyond headline benchmarks, we examine coding workflows, structured reasoning, local latency, and hands-on model behavior.
04 / Deployment
Inference that travels
Our deployment work considers MLX, GGUF, Ollama, and llama.cpp so models can operate across developer and edge environments.
NexLM / Contact
Make intelligence yours.
For model access, research conversations, deployment questions, or collaboration.