Ellama-3B (Elisp Edition)

Strengths

• Excellent at generating correct Emacs Lisp code — especially interactive commands ((interactive)), buffer manipulation, text processing, and common editing utilities.
• Strong adherence to Elisp idioms and built-in functions (save-excursion, with-current-buffer, re-search-forward, etc.).
• Good at following few-shot examples and producing clean, well-commented code.
• Fast inference on Apple Silicon via MLX (4-bit quantized).
• Supports standard Llama 3.2 chat template for easy integration.

Weaknesses

• Limited context window awareness compared to larger models — may struggle with very large codebases or complex package interactions.
• Can occasionally hallucinate non-existent Emacs functions or outdated APIs.
• Training data is focused on common editing tasks; less exposure to niche packages, Org-mode advanced features, or complex major modes.
• As a 3B model, it lacks the deep reasoning capabilities of 7B+ or 70B models for architectural-level decisions.
• Still inherits some of the base model's tendency to be overly verbose if not prompted strictly.