Falcon
Technology Innovation Institute Falcon open weights (7B–180B era) under Apache-2.0 weights for many releases—landmark UAE-led open model line.
Why it is included
Historically important permissive release that accelerated open finetuning research.
Best for
Legacy pipelines and studies referencing Falcon checkpoints.
Strengths
- Permissive license story
- Large-scale precedents
Limitations
- Newer families often outperform; maintenance quieter
Good alternatives
Llama · Mistral · Qwen
Related tools
AI & Machine Learning
Meta Llama (open models)
Meta’s Llama family of open **weights** (subject to Llama license) with reference code, tooling, and downloads via Hugging Face and meta-llama org.
AI & Machine Learning
Mistral AI (open models)
Mistral’s open-weight checkpoints (e.g. 7B era, Mixtral MoE) and Apache-2.0–licensed **code** alongside proprietary flagship lines—verify each checkpoint.
AI & Machine Learning
Qwen
Alibaba’s Qwen family (dense and MoE) with strong multilingual and coding variants; weights and code on Hugging Face under stated licenses per release.
AI & Machine Learning
DeepSeek
DeepSeek open-weight models (e.g. V3/R1 lineage) with MIT or custom terms per release—high capability coding and reasoning checkpoints.
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
RWKV
RNN-meets-transformer linear-attention LM architecture running with O(n) memory—unique open line for long-context and embedded inference.