title: README
emoji: 📚
colorFrom: purple
colorTo: blue
sdk: static
pinned: false
Welcome to the llmware HuggingFace page. We believe that the ascendence of LLMs creates a major new application pattern and data pipelines that will be transformative in the enterprise, especially in knowledge-intensive industries. Our open source research efforts are focused both on the new "ware" ("middleware" and "software" that will wrap and integrate LLMs), as well as building high-quality automation-focused enterprise Agent, RAG and embedding small specialized language models.
Our model training initiatives fall into four major categories:
SLIMs - small, specialized function calling models for stacking in multi-model, Agent-based workflows -- SLIMs
BLING/DRAGON - highly-accurate fact-based question-answering models
-- SMALL MODEL ACCURACY BENCHMARK |
-- OUR JOURNEY BUILDING ACCURATE ENTERPRISE SMALL MODELS
Industry-BERT - industry fine-tuned embedding models
Private Inference - Self-Hosting, Packaging and Quantization - GGUF, ONNX, OpenVino
Please check out a few of our recent blog postings related to these initiatives:
THINKING DOES NOT HAPPEN ONE TOKEN AT A TIME |
RAG-INSTRUCT-TEST-DATASET |
LLMWARE EMERGING STACK |
BECOMING A MASTER FINETUNING CHEF
Interested? Join us on Discord