Module ecosystem 

Unified re-exports from all rust-ai ecosystem crates.

Access individual crates through their submodules:

• ecosystem::peft - LoRA, DoRA, AdaLoRA
• ecosystem::qlora - 4-bit quantized LoRA
• ecosystem::unsloth - Optimized transformers
• ecosystem::axolotl - Training orchestration
• ecosystem::bitnet - 1.58-bit quantization
• ecosystem::trit - Ternary VSA
• ecosystem::vsa_optim - VSA optimization
• ecosystem::tritter - Ternary acceleration Unified re-exports from the rust-ai ecosystem crates.

This module provides convenient access to all rust-ai ecosystem crates through a single import path. All crates are always available as they are required dependencies of rust-ai-core.

Available Modules

Module	Crate	Description
[peft]	peft-rs	LoRA, DoRA, AdaLoRA adapters
[qlora]	qlora-rs	4-bit quantized fine-tuning
[unsloth]	unsloth-rs	Optimized transformer blocks
[axolotl]	axolotl-rs	Fine-tuning orchestration
[bitnet]	bitnet-quantize	BitNet 1.58-bit quantization
[trit]	trit-vsa	Ternary VSA operations
[vsa_optim]	vsa-optim-rs	VSA-based optimization
[tritter]	tritter-accel	Ternary GPU acceleration

Usage

use rust_ai_core::ecosystem::peft::{LoraConfig, LoraLinear};
use rust_ai_core::ecosystem::qlora::QLoraConfig;
use rust_ai_core::ecosystem::bitnet::TernaryLinear;

Or use the top-level facade for common operations:

use rust_ai_core::RustAI;

let ai = RustAI::new(RustAIConfig::default())?;
let config = ai.finetune()
    .model("meta-llama/Llama-2-7b")
    .rank(64)
    .build()?;

Modules

axolotl

YAML-driven fine-tuning configuration and orchestration.

bitnet

Microsoft BitNet b1.58 quantization and inference.

peft

LoRA, DoRA, and AdaLoRA adapter implementations.

qlora

4-bit quantized LoRA for memory-efficient fine-tuning.

trit

Balanced ternary arithmetic with bitsliced storage.

tritter

GPU-accelerated ternary operations for BitNet and VSA.

unsloth

Optimized transformer building blocks.

vsa_optim

Deterministic training optimization using VSA compression.

Structs

EcosystemInfo

Information about the rust-ai ecosystem crates.