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.
Why it is included
Remains one of the highest-download `text-generation` models on Hugging Face despite age—baseline for education and CI.
Best for
Learning Transformers, tokenization, and generation APIs with tiny checkpoints.
Strengths
- Tiny
- Fast downloads
- Ubiquitous examples
Limitations
- Quality vs modern chat models; not instruction-tuned out of the box
Good alternatives
DistilGPT-2 · TinyLlama · SmolLM
Related tools
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Hugging Face Transformers
State-of-the-art pretrained models for PyTorch, TensorFlow, and JAX.
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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.
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OPT (Hugging Face)
Meta’s Open Pretrained Transformer suite (125M–175B) released with reproducible logbooks—canonical Hub org `facebook` / `facebook/opt-*`.
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GLM-5 (Hugging Face)
Z.ai GLM-5–generation checkpoints (e.g. FP8 builds) distributed on the Hub for text generation and agent-style use cases.
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Qwen2.5-Coder-7B Instruct (Hub)
Alibaba’s Qwen2.5 Coder 7B instruct checkpoint on Hugging Face—optimized for code completion, synthesis, and tooling workflows.
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OpenELM (Hugging Face)
Apple’s OpenELM family—openly released efficient language models with layer-wise scaling and Hub-hosted instruct variants.