LLMForge
Orchestrates the entire LLM pipeline locally, including model download, data curation, fine-tuning, quantization, testing, serving, and pushing adapters.
A native Mac application that orchestrates the entire LLM pipeline, from model download to on-device deployment, solving the problem of stitching together CLI tools. It targets developers and engineering teams, from freelancers to enterprises, who want to fine-tune and ship LLMs locally. It is positioned as a local, private, and native alternative to cloud-based or terminal-driven workflows, with a free tier and a one-window approach.
Key features
- Browse and download from HuggingFace
- Import CSV/JSONL or label manually
- AI-assisted data generation
- Fine-tune with MLX, LoRA/QLoRA
- Live loss and overfitting detection
- Persisted sessions and crash recovery
- Quantize to GGUF or CoreML
- Export Xcode-ready models
- A/B test models side-by-side
- Serve OpenAI-compatible API locally
- SSE streaming and response metrics
- Push adapters to HuggingFace
Social posts
- No social media activity detected
GTM channels
- No GTM activity detected
ICP
- Software developers
- Engineering teams
- Freelancers solopreneurs