Cone ML
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ConeML
ConeML builds, adapts, licenses, deploys, and maintains language models for organizations. Its public R&D program makes the underlying model-engineering and evaluation methods inspectable.
For Organizations
Commercial work can include:
- a Model Feasibility Assessment that produces an acceptance battery, baseline comparison, data-readiness assessment, recommended architecture, and scoped implementation proposal;
- customer-specific model training and adaptation;
- commercial licensing and adaptation of suitable ConeML foundations;
- vertical-model development;
- local deployment, integration, quantization, and release;
- evaluation, monitoring, updates, retraining, and lifecycle support.
Engagements begin with the workflow, available material, deployment constraints, unacceptable failures, and acceptance test—not with an assumption that new training is required. Public research-model licenses do not grant commercial rights; customer work, ownership, licensing, and support are scoped by separate agreement.
Public R&D
ConeML's public releases demonstrate the engineering and evaluation methods behind its commercial work. They publish measured strengths, failure boundaries, shipped-artifact checks, peer context, and resource assumptions. They are evidence of method, not claims of customer deployment.
Latest Release: ConeML 810M Alpha Family
The fourth public ConeML model introduces a scratch-trained 810M family with an 8,192-token context. ConeML 810M Alpha favors executed single-function writing and two-step tasks; ConeML 810M Alpha-Arithmetic records a stronger four-lane arithmetic profile. Both ship as Hugging Face weights plus F16 and tested Q8_0 GGUFs.
The model cards publish task-family-matched strengths beside weak GSM8K and HumanEval results, peer wins, resource assumptions, and known limitations. Public research models are released for non-commercial use under CC BY-NC 4.0 unless stated otherwise.