;; Step 4 – generate text (cl-gpt2:generate ai "The future of artificial intelligence" :max-tokens 100 :temperature 0.8)
For a modern LLM generator in Lisp, use (easy) or cl-llama + llama.cpp (more powerful). Avoid implementing transformers from scratch unless educational. ai generator lisp download
Place these in ~/lisp-models/ and point your Lisp code there. ;; Step 1 – install SBCL and Quicklisp ;; Step 2 – in REPL (ql:quickload :cl-gpt2) ;; Step 3 – load model (downloads weights automatically) (defparameter ai (cl-gpt2:load-model :gpt2-medium)) ;; Step 4 – generate text (cl-gpt2:generate ai
| Model Source | Command / Link | |--------------|----------------| | | wget https://huggingface.co/gpt2/resolve/main/model.safetensors | | BERT | wget https://huggingface.co/bert-base-uncased/resolve/main/pytorch_model.bin | | CodeLlama (7B) | Request from Meta, then download .gguf from Hugging Face | ;; Step 1 – install SBCL and Quicklisp
wget https://www.gutenberg.org/files/100/100-0.txt -O shakespeare.txt
(ql:quickload :cl-transformer) (from Hugging Face):
(ql:quickload :cl-gpt2) It automatically downloads a (124M parameter GPT-2) from Hugging Face (~500 MB) on first use.