danielgross/LlamaAcademy

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1198 stars · 73 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

LlamaAcademy is a Python pipeline that crawls API documentation, generates synthetic training data with GPT-3.5/GPT-4, and fine-tunes a Vicuna-13B model with LoRA so it can write code against that API. The resulting mini-GPT can be self-hosted and used via LangChain for API glue-code generation.

Use cases

• teach an LLM to call a specific API like Stripe or Notion
• fine-tune a local LLaMA model on API documentation
• generate synthetic instruction data from API docs
• host a custom mini-GPT that writes API integration code
• train a LoRA adapter on crawled documentation

When to choose

• you want a bespoke model specialized in one API's documentation
• you have a >30GB VRAM GPU and an OpenAI API key
• you want to experiment with LoRA fine-tuning pipelines

When to avoid

• you need consistently high-quality code generation - the project admits results are unreliable
• you lack GPU resources for fine-tuning
• you want a production-ready, maintained tool

Facets

library · maturity experimental

llm-training rag web-scraping data-generation agent-framework large-language-models machine-learning artificial-intelligence developer-tools python lora fine-tuning vicuna llama langchain api-documentation synthetic-data openai linux gpu

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