🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
BarunLM-35M: a parameter-efficient 35M base language model trained on 5.7B tokens
ENGRAFT: write facts into an LLM's n-gram (Engram) memory table as a removable overlay: 100 facts in a 9 MB file, no weights touched, verified on llama.cpp GGUF (Qwen3.8-Flash-Next).
Official code for "Focused Omni-Modal GUI Agents“