ScalarLM API
ScalarLM is the open-source (CC0-1.0) unified LLM training and inference stack maintained and sponsored by TensorWave. A single deployment exposes an OpenAI-compatible inference endpoint backed by vLLM (/v1/chat/completions, /v1/completions, /v1/models), a queue-backed batch generate surface with worker coordination, a Megatron-LM training surface dispatched through Slurm (chunked dataset upload, job control, checkpoints, publish-to-Hugging Face), plus Slurm scheduler and health/metrics endpoints. It runs unchanged on AMD and NVIDIA GPUs; TensorWave's own deployments run on AMD MI300X.
Documentation
Documentation
https://www.scalarlm.com/docs/
APIReference
https://www.scalarlm.com/inference/
GettingStarted
https://www.scalarlm.com/quick-start/
Authentication
https://raw.githubusercontent.com/api-evangelist/tensorwave/refs/heads/main/authentication/tensorwave-authentication.yml
Specifications
Other Resources
Overlay
https://raw.githubusercontent.com/api-evangelist/tensorwave/refs/heads/main/overlays/tensorwave-scalarlm-overlay.yaml
SourceCode
https://github.com/tensorwavecloud/ScalarLM
Conventions
https://raw.githubusercontent.com/api-evangelist/tensorwave/refs/heads/main/conventions/tensorwave-conventions.yml
ErrorCatalog
https://raw.githubusercontent.com/api-evangelist/tensorwave/refs/heads/main/errors/tensorwave-problem-types.yml
DataModel
https://raw.githubusercontent.com/api-evangelist/tensorwave/refs/heads/main/data-model/tensorwave-data-model.yml
AgentSkill
https://raw.githubusercontent.com/api-evangelist/tensorwave/refs/heads/main/skills/_index.yml
APIsJSON
https://raw.githubusercontent.com/api-evangelist/tensorwave/refs/heads/main/apis.yml