OpenELM (Hugging Face)
Apple’s OpenELM family—openly released efficient language models with layer-wise scaling and Hub-hosted instruct variants.
Why it is included
Ranks among the most downloaded Apple `text-generation` releases for on-device and research experimentation.
Best for
Apple-platform teams and researchers studying efficient LM design patterns.
Strengths
- Apple-backed release
- Multiple sizes
- HF integration
Limitations
- License is not a standard permissive OSS license for all uses
Good alternatives
MLX LM · Gemma · SmolLM
Related tools
AI & Machine Learning
MLX LM
Apple MLX-based LLM inference and training on Apple silicon: efficient Metal-backed transformers and examples for local chat models.
AI & Machine Learning
Google Gemma
Google’s smaller open **weights** Gemma line (Gemma 2/3, etc.) with Gemma license terms, plus `gemma.cpp` for lightweight CPU inference.
AI & Machine Learning
SmolLM
Hugging Face TB small LM family (135M–1.7B) with Apache-2.0 weights aimed at on-device and edge quality per size.
AI & Machine Learning
OpenAI gpt-oss (Hub)
OpenAI’s open-weight GPT-OSS checkpoints (e.g. 20B, 120B) hosted on Hugging Face for local inference and fine-tuning.
AI & Machine Learning
GPT-2 (Hugging Face)
Historic decoder-only LM family (124M–1.5B) under `openai-community` on the Hub—still a default tutorial and pipeline test target.
AI & Machine Learning
OPT (Hugging Face)
Meta’s Open Pretrained Transformer suite (125M–175B) released with reproducible logbooks—canonical Hub org `facebook` / `facebook/opt-*`.