R&D and Analytics
Research & Data Teams.Reproducible experiments, not a folder of notebooks.
Fine-tune and evaluate open-weights models against your own benchmarks with every run versioned, every hyperparameter recorded and every checkpoint exportable. Built for teams that have to defend a result, not just demo one.
- Self-hosted
- On-Premise Available
- Open Weights
- 100%Runs versioned and reproducible
- AnyOpen-weights model, pinned by hash
- ExportWeights and logs are always yours
The problem
Research velocity dies in untracked notebooks and vanished checkpoints. Closed APIs make results unreproducible by construction — you cannot pin a model version you do not control.
How Langtrain helps
Purpose-built for R&D and Analytics.
Experiment Tracking
Every run records its dataset hash, seed, hyperparameters, environment and metrics — so a result from six months ago is still defensible.
Custom Benchmarks
Define task-specific evals that matter to your work and run them automatically against every checkpoint.
Dataset Lineage
Track how a training set was filtered and deduplicated, so a contamination question has an answer rather than a shrug.
No Vendor Lock-In
Open weights, standard formats. Standard Hugging Face weights that llama.cpp, vLLM and other open-source tools can run anywhere.
Sweep Orchestration
Launch hyperparameter sweeps across GPUs and compare runs side by side without writing scheduling code.
SDK-First
Everything in the UI is available from the Python SDK, so experiments live in version control alongside your analysis.
Applications
What teams actually build.
- 01
Ablation Studies
Vary one component at a time across a sweep and get a comparison table, not twelve notebooks with inconsistent metrics.
- 02
Domain Benchmark Suites
Encode the evaluation your field actually cares about and gate checkpoint promotion on it.
- 03
Paper Reproduction
Pin a base model by hash, rerun a published recipe on your own data, and record exactly where results diverge.
- 04
Internal Model Cards
Auto-generate model cards from tracked run metadata so downstream teams inherit the caveats, not just the weights.
Ready for R&D and Analytics?Start with your own data.
Talk to us, or start fine-tuning on the free plan.