realigns/realigns-core-v5-gguf

Realigns Core v5 GGUF

Realigns Core v5 is a customized local AI model prepared by Realigns Inc for offline and hybrid business AI applications (not for general chat).

This release is provided in GGUF format for local inference using llama.cpp-compatible runtimes.

Model Foundation

Realigns Core v5 uses a lightweight open-weight model architecture for customization and deployment.

The model workflow may include:

• Business instruction training
• Prompt behavior tuning
• GGUF conversion
• Quantized local deployment
• llama.cpp runtime integration
• RAG-based product integration

This release follows applicable open-source license and notice requirements for included or upstream components.

The Realigns work focuses on customization, fine-tuning workflow, local deployment, business alignment, product integration, and RAG-based intelligence architecture.

Business Knowledge Focus

The model is trained and guided for practical business use cases, including:

• Business strategy
• Marketing
• Sales support
• Customer service
• Operations management
• Productivity assistance
• Document-based Q&A
• Local private AI workflows

Intended Use

Realigns Core v5 is intended for:

• Local desktop AI assistants
• Offline business AI tools
• Private document analysis
• RAG-enabled apps
• Education and productivity workflows
• Small business automation prototypes

Model File

File	Format	Quantization	Runtime
realigns-core-v5-q4_k_m.gguf	GGUF	Q4_K_M	llama.cpp compatible

Example llama.cpp Usage

llama-server \
  -m realigns-core-v5-q4_k_m.gguf \
  --port 8099 \
  --ctx-size 4096
cat > README.md <<'EOF'
---
license: apache-2.0
language:
- en
- th
- ar
- zh
pipeline_tag: text-generation
library_name: gguf
tags:
- gguf
- llama-cpp
- local-ai
- offline-ai
- private-ai
- business-ai
- enterprise-ai
- rag
- realigns
---

# Realigns Core v5 GGUF

Realigns Core v5 is a business-focused, enterprise-aligned local AI model prepared by Realigns Inc for offline and hybrid AI applications.

This release is provided in GGUF format for local inference using llama.cpp-compatible runtimes.

## Model Foundation

Realigns Core v5 uses a lightweight open-weight model architecture for customization and deployment.

This release follows applicable open-source license and notice requirements for included or upstream components. The Realigns work focuses on fine-tuning, identity alignment, business instruction tuning, local deployment, product integration, and RAG-based intelligence architecture.

## Fine-Tuning Focus

Realigns Core v5 was fine-tuned and optimized for practical business and enterprise productivity workflows.

The customization workflow may include:

- LoRA fine-tuning
- Identity alignment
- Business instruction training
- Enterprise assistant behavior tuning
- Prompt behavior optimization
- GGUF conversion
- Quantized local deployment
- llama.cpp runtime integration
- RAG-based product integration

## Business and Enterprise Knowledge Focus

The model is trained and guided for practical business use cases, including:

- Business strategy
- Marketing support
- Sales support
- Customer service assistance
- Operations management
- Productivity workflows
- Business writing
- Document-based Q&A
- Local private AI workflows
- RAG-based enterprise knowledge assistance

## Intended Use

Realigns Core v5 is intended for:

- Local desktop AI assistants
- Offline business AI tools
- Private document analysis
- RAG-enabled applications
- Education and productivity workflows
- Small business automation prototypes
- Enterprise internal assistant prototypes

## Model File

| File | Format | Quantization | Runtime |
|---|---|---|---|
| realigns-core-v5-q4_k_m.gguf | GGUF | Q4_K_M | llama.cpp compatible |

## Example llama.cpp Usage

```bash
llama-server \
  -m realigns-core-v5-q4_k_m.gguf \
  --port 8099 \
  --ctx-size 4096