| --- |
| pipeline_tag: text-generation |
| language: |
| - en |
| - it |
| tags: |
| - chronos-dx |
| - flushnet |
| - large-language-model |
| - text-generation |
| - instruction-following |
| - local-ai |
| - private-ai |
| - secure-ai |
| - cloud-ai |
| - scalable-ai |
| - browser-ai |
| - llm-fine-tuning |
| - model-training |
| - enterprise-ai |
| pretty_name: Chronos DX |
| --- |
| |
| # Chronos DX |
|
|
| **Chronos DX** is the Flushnet AI model family for private, customizable and production-oriented generative AI. |
|
|
| Chronos DX is designed for two complementary deployment modes: |
|
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| - **Local / Private / Secure AI** — for customer-controlled environments, local execution, privacy-focused workloads and reduced cloud dependency. |
| - **Cloud / High-Scalability AI** — for managed APIs, high concurrency, larger workloads, autoscaling and production services. |
|
|
| The same Chronos DX family can therefore be used from private local inference through to highly scalable cloud deployments. |
|
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| ## Try Chronos DX |
|
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| ### Local Secure Demo |
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| https://www.flushnet.net/chronos-secure/secure-webchat/ |
|
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| The current browser-based preview demonstrates local/private Chronos DX execution in a supported browser environment. |
|
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| ### Chronos DX Model Training & Customization |
|
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| https://www.flushnet.net/ai/chronos-dx/ |
|
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| Project requests: |
|
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| https://www.flushnet.net/ai/chronos-dx/#contact |
|
|
| ## Model Family |
|
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| Chronos DX supports model engineering across the following model-size classes. |
|
|
| | Model class | Availability | |
| |---|---| |
| | Chronos DX 8B | Current family reference; local secure preview available | |
| | Chronos DX 12B | Custom training / model build available | |
| | Chronos DX 20B | Custom training / model build available | |
| | Chronos DX 32B | Custom training / model build available | |
| | Chronos DX 40B | Custom training / model build available | |
| | Chronos DX 70B | Custom training / model build available | |
| | Chronos DX 80B | Custom training / model build available | |
|
|
| ## Capabilities |
|
|
| Depending on the selected Chronos DX model, customization and deployment target, capabilities can include: |
|
|
| - instruction following |
| - general text generation |
| - coding and software-engineering assistance |
| - infrastructure and cloud-oriented tasks |
| - enterprise and domain specialization |
| - structured outputs |
| - multilingual workloads |
| - private/local inference |
| - scalable cloud inference |
| - customer-specific model adaptation |
| - model retraining and updates |
| - LoRA / QLoRA fine-tuning |
| - supervised fine-tuning |
| - model evaluation and regression testing |
| - GGUF and supported quantized artifacts |
| - local deployment support |
| - cloud deployment support |
| - private enterprise deployment |
|
|
| ## Deployment Options |
|
|
| ### Local / Private / Secure |
|
|
| Chronos DX can be deployed in customer-controlled environments for workloads where privacy, local processing, data control or reduced cloud dependency are important. |
|
|
| Possible deployment targets include: |
|
|
| - browser-local AI |
| - private workstations |
| - local servers |
| - edge systems |
| - customer-controlled infrastructure |
| - private enterprise environments |
|
|
| ### Cloud / Highly Scalable |
|
|
| Chronos DX can also be deployed on cloud infrastructure for production workloads requiring scale and centralized management. |
|
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| Possible deployment targets include: |
|
|
| - managed model APIs |
| - private cloud endpoints |
| - autoscaled inference services |
| - dedicated cloud instances |
| - multi-instance deployments |
| - high-concurrency applications |
| - enterprise cloud environments |
|
|
| ### Hybrid |
|
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| Chronos DX can also support hybrid architectures combining local/private inference with cloud capacity. |
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| This allows selected workloads to remain local while larger, burst or high-concurrency workloads can use cloud infrastructure. |
|
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| ## Training and Customization |
|
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| Chronos DX can be trained, fine-tuned, specialized, updated and prepared for customer-specific requirements. |
|
|
| Available services include: |
|
|
| - automated fine-tuning |
| - managed fine-tuning |
| - domain specialization |
| - supervised fine-tuning |
| - LoRA / QLoRA |
| - model updates and retraining |
| - dataset preparation |
| - training dataset engineering |
| - synthetic dataset generation |
| - model evaluation |
| - benchmark testing |
| - model merge |
| - GGUF and quantization |
| - production validation |
| - local deployment preparation |
| - cloud deployment preparation |
| - enterprise customization |
|
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| Full information and project requests: |
|
|
| https://www.flushnet.net/ai/chronos-dx/ |
|
|
| ## Intended Uses |
|
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| Chronos DX can be adapted for applications such as: |
|
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| - coding assistants |
| - software engineering |
| - infrastructure and cloud automation |
| - technical support |
| - enterprise knowledge assistants |
| - domain-specific assistants |
| - customer-service workflows |
| - structured information extraction |
| - private/local AI |
| - secure enterprise AI |
| - multilingual assistants |
| - scalable cloud AI services |
| - hybrid local/cloud AI systems |
|
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| ## Versioning |
|
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| Chronos DX model-specific releases use explicit version/build identifiers so model variants and deployment artifacts can be tracked independently. |
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| The Chronos DX family page provides the general overview, while specific editions can receive dedicated repositories as they become available. |
|
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| ## About Flushnet AI |
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| Chronos DX is developed by **Flushnet AI**. |
|
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| Chronos DX information, model engineering and training requests: |
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| https://www.flushnet.net/ai/chronos-dx/ |
|
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| Local secure demo: |
|
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| https://www.flushnet.net/chronos-secure/secure-webchat/ |
|
|
