marcheseluciano/ Chronos-DX

Chronos DX by Flushnet AI — for local/private/secure and cloud/high-scalability AI, with custom training and deployment options.

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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:

  • 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.

Chronos-DX architecture and GGUF compatibility

Chronos-DX has its own proprietary architecture, whose internal details are not publicly disclosed.

Standard llama.cpp does not currently define a native Chronos-DX architecture type. The Dense 32B GGUF was therefore adapted to the supported qwen2 architecture type and compatible tensor format for use with standard llama.cpp and Ollama.

The qwen2 label shown by Hugging Face identifies the compatibility format of the GGUF export, not the full proprietary Chronos-DX architecture.

Two ways to try Chronos-DX

Chronos-DX demos are available in two flavours:

  1. Compressed Local Private Secure Browser Demo — a compact browser-based version for private local use.
  2. Dense 32B GGUF on Hugging Face — a downloadable dense model with 32.085B total parameters (~32B active) for local inference.

Chronos-DX Dense 32B — dedicated Ollama model page

For the Dense 32B GGUF, use the Chronos-DX Dense 32B model page. It provides the correct Ollama pull/run commands for downloading the GGUF directly from the public Hugging Face repository.

Highly customizable for your knowledge domain

Chronos-DX can be adapted to customer requirements through training, domain-specific customization, fine-tuning, knowledge-base integration and targeted model improvements. Use cases span software engineering, AI, mathematics, science, business, finance, languages, education and specialized enterprise knowledge.

Request custom training, specialization or model improvements

Try Chronos DX

Local Secure Demo

https://www.flushnet.net/chronos-secure/secure-webchat/

The current browser-based preview demonstrates local/private Chronos DX execution in a supported browser environment.

Model Training & Customization

https://www.flushnet.net/ai/chronos-dx/

Project requests:

https://www.flushnet.net/ai/chronos-dx/#contact

Model Family

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 Dedicated Ollama model instructions · GGUF download · custom training
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:

  • 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.

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

Chronos DX can also support hybrid architectures combining local/private inference with cloud capacity.

Training and Customization

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

Full information and project requests:

https://www.flushnet.net/ai/chronos-dx/

Intended Uses

Chronos DX can be adapted for applications such as:

  • 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

About Flushnet AI

Chronos DX is developed by Flushnet AI.

Chronos DX information, model engineering and training requests:

https://www.flushnet.net/ai/chronos-dx/

Local secure demo:

https://www.flushnet.net/chronos-secure/secure-webchat/