初始化项目,由ModelHub XC社区提供模型
Model: darkai-1/darkit-v3-1M Source: Original Platform
This commit is contained in:
117
README.md
Normal file
117
README.md
Normal file
@@ -0,0 +1,117 @@
|
||||
---
|
||||
language: multilingual
|
||||
license: apache-2.0
|
||||
organization: darkai
|
||||
author: darkai
|
||||
library_name: llama.cpp
|
||||
tags:
|
||||
- darkit-3
|
||||
- DarkAI Company
|
||||
- text-generation
|
||||
- programming
|
||||
- reasoning
|
||||
base_model: darkai/darkit-v3
|
||||
model_type: custom
|
||||
pipeline_tag: text-generation
|
||||
---
|
||||
# DarkIT v3
|
||||
|
||||
DarkIT is a next-generation high-performance large language model engineered for **advanced programming, deep reasoning, and natural human conversation**.
|
||||
|
||||
DarkIT v3 introduces major improvements in:
|
||||
- Advanced code generation
|
||||
- Complex debugging & error analysis
|
||||
- Long-context reasoning
|
||||
- Multi-language programming support
|
||||
- Instruction following for difficult technical tasks
|
||||
- Architecture understanding & code refactoring
|
||||
- Stable conversational behavior
|
||||
- Fast and efficient local inference
|
||||
- Unrestricted responses with strong adaptability
|
||||
|
||||
---
|
||||
|
||||
# What's New in v3
|
||||
|
||||
DarkIT v3 has been significantly upgraded with a massive programming-focused training phase.
|
||||
|
||||
### Major Improvements
|
||||
- Trained on over **18 million high-quality programming conversations**
|
||||
- Strongly improved coding intelligence and reasoning
|
||||
- Better understanding of software architecture and system design
|
||||
- More accurate debugging and bug fixing
|
||||
- Improved instruction consistency
|
||||
- Better long-response stability
|
||||
- Reduced hallucinations in programming tasks
|
||||
- Faster response generation quality under long prompts
|
||||
|
||||
### Programming Capabilities
|
||||
DarkIT v3 performs strongly across:
|
||||
- Python
|
||||
- C++
|
||||
- JavaScript / TypeScript
|
||||
- Java
|
||||
- Rust
|
||||
- Go
|
||||
- PHP
|
||||
- SQL
|
||||
- Bash / Shell scripting
|
||||
- HTML / CSS
|
||||
- AI & Machine Learning workflows
|
||||
|
||||
---
|
||||
|
||||
# Key Specifications
|
||||
|
||||
- **Model Family:** DarkIT Coder
|
||||
- **Version:** v3
|
||||
- **Model Size:** 15B Parameters
|
||||
- **Context Length:** 1M Tokens
|
||||
- **Format:** GGUF (optimized for efficient local deployment)
|
||||
- **Inference Support:** CPU / GPU
|
||||
- **Primary Focus:** Programming & Technical Reasoning
|
||||
|
||||
---
|
||||
|
||||
# Performance Notes
|
||||
|
||||
- Optimized for strong local inference performance
|
||||
- Excellent balance between speed and output quality
|
||||
- Stable long-context generation
|
||||
- Enhanced code completion consistency
|
||||
- Improved logical reasoning across technical tasks
|
||||
- Designed for developer workflows and advanced prompting
|
||||
|
||||
---
|
||||
|
||||
# Recommended Usage
|
||||
|
||||
DarkIT v3 performs best when used for:
|
||||
- Software development
|
||||
- AI engineering tasks
|
||||
- Code generation
|
||||
- Debugging large projects
|
||||
- Technical explanations
|
||||
- Automation scripting
|
||||
- Long-context programming conversations
|
||||
- Local offline AI deployment
|
||||
|
||||
---
|
||||
|
||||
# ⚠️ Notes
|
||||
|
||||
- Designed primarily for inference deployment
|
||||
- Output quality may vary depending on quantization level and hardware
|
||||
- Best performance is achieved using structured prompts
|
||||
- Large context usage may require substantial RAM/VRAM
|
||||
|
||||
---
|
||||
|
||||
# About DarkAI
|
||||
|
||||
DarkAI is an independent AI research initiative focused on building efficient, powerful, and scalable language models for real-world applications, with a strong focus on programming intelligence and local AI deployment.
|
||||
|
||||
---
|
||||
|
||||
- **Website:** https://darkai.site
|
||||
- **Telegram:** https://t.me/sii_3
|
||||
Reference in New Issue
Block a user