- Downloads 30d
- 26.7M
- Hub likes
- 1.8K
- Params
- 752M
The original GPT-2 checkpoint. Still the most downloaded causal language model on the Hub and a standard baseline.
View on Hugging Face ↗- Downloads 30d
- 18.6M
- Hub likes
- 3.9K
- Params
- 137M
Mid-size dense model from the Qwen3 family, with switchable thinking and non-thinking inference modes.
View on Hugging Face ↗- Downloads 30d
- 8.3M
- Hub likes
- 2.1K
- Params
- 8.2B
- Downloads 30d
- 461.5K
- Hub likes
- 1.2K
- Params
- 31B
Instruction-tuned 7B chat model with strong multilingual coverage and a permissive licence.
View on Hugging Face ↗- Downloads 30d
- 6.6M
- Hub likes
- 2.5K
- Params
- 7.6B
- Downloads 30d
- 4.2M
- Hub likes
- 670
- Params
- 18.7B
- Downloads 30d
- 5.5M
- Hub likes
- 709
- Params
- 494M
Smallest checkpoint in Meta’s Open Pre-trained Transformer suite, released to reproduce GPT-3 class training openly.
View on Hugging Face ↗- Downloads 30d
- 5.8M
- Hub likes
- 331
- Params
- 125M
- Downloads 30d
- 55.5K
- Hub likes
- 30
- Params
- 31.3B
Small instruction-tuned model that runs comfortably on modest hardware.
View on Hugging Face ↗- Downloads 30d
- 4.9M
- Hub likes
- 905
- Params
- 1.5B
Small Qwen3 model supporting both thinking and direct-answer modes in a single checkpoint.
View on Hugging Face ↗- Downloads 30d
- 11.6M
- Hub likes
- 769
- Params
- 4B
Compact instruction-tuned model built for on-device assistants and summarisation at low latency.
View on Hugging Face ↗- Downloads 30d
- 4.3M
- Hub likes
- 1.9K
- Params
- 1.2B
OpenAI’s smaller open-weight mixture-of-experts release, roughly 21B total parameters with about 3.6B active per token.
View on Hugging Face ↗- Downloads 30d
- 5.8M
- Hub likes
- 5.2K
- Params
- 20.9B
The most-liked chat model on the Hub. 128K context, instruction-tuned, widely used as a fine-tuning base.
View on Hugging Face ↗- Downloads 30d
- 5M
- Hub likes
- 8.5K
- Params
- 8B
- Downloads 30d
- 3.9M
- Hub likes
- 615
- Params
- 3.1B
- Downloads 30d
- 5.1M
- Hub likes
- 573
- Params
- 9B
The larger open-weight OpenAI release, around 117B total parameters with roughly 5.1B active per token.
View on Hugging Face ↗- Downloads 30d
- 3M
- Hub likes
- 5.4K
- Params
- 116.8B
Largest dense model in the Qwen3 line, aimed at reasoning and long-context work under a permissive licence.
View on Hugging Face ↗- Downloads 30d
- 2.8M
- Hub likes
- 771
- Params
- 32.8B
- Downloads 30d
- 4.6M
- Hub likes
- 85
- Params
- 34.4B
- Downloads 30d
- 4.3M
- Hub likes
- 4.1K
- Params
- 304.2B
- Downloads 30d
- 3.9M
- Hub likes
- 540
- Params
- 35B
- Downloads 30d
- 2.7M
- Hub likes
- 1K
- Params
- 4B
- Downloads 30d
- 5.1K
- Hub likes
- 368
- Params
- 72.3B
Lightweight Qwen3 checkpoint aimed at latency-sensitive chat deployments.
View on Hugging Face ↗- Downloads 30d
- 4.2M
- Hub likes
- 591
- Params
- 2B
- Downloads 30d
- 2M
- Hub likes
- 59
- Params
- 7.6B
- Downloads 30d
- 2.4M
- Hub likes
- 695
- Params
- 9B
Part of a model suite trained on identical data in identical order, built specifically for interpretability research.
View on Hugging Face ↗- Downloads 30d
- 3.4M
- Hub likes
- 62
- Params
- 213M
- Downloads 30d
- 2.5M
- Hub likes
- 139
- Params
- 4B
- Downloads 30d
- 3.9M
- Hub likes
- 76
- Params
- 2.2B
Instruction-tuned small model from the Gemma 3 family, built from the same research as Gemini.
View on Hugging Face ↗- Downloads 30d
- 1.2M
- Hub likes
- 1.3K
- Params
- 1B
Code-specialised instruction model covering generation, completion and repair across many languages.
View on Hugging Face ↗- Downloads 30d
- 1.5M
- Hub likes
- 841
- Params
- 7.6B
- Downloads 30d
- 2.5M
- Hub likes
- 1.7K
- Params
- 27B
- Downloads 30d
- 2.6M
- Hub likes
- 87
- Params
- 14.8B
Mid-size instruction-tuned chat model, a common step up when 7B is not quite capable enough.
View on Hugging Face ↗- Downloads 30d
- 826.5K
- Hub likes
- 377
- Params
- 14.8B
- Downloads 30d
- 1.3M
- Hub likes
- 372
- Params
- 32.8B
- Downloads 30d
- 5.5M
- Hub likes
- 1.6K
- Params
- 685.4B
- Downloads 30d
- 1.5M
- Hub likes
- 1.1K
- Params
- 35B
Very small language model trained on a curated corpus, intended for on-device and edge deployment.
View on Hugging Face ↗- Downloads 30d
- 1.8M
- Hub likes
- 259
- Params
- 135M
- Downloads 30d
- 1.4M
- Hub likes
- 518
- Params
- 1M
- Downloads 30d
- 1.8M
- Hub likes
- 658
- Params
- 88M
- Downloads 30d
- 1.4M
- Hub likes
- 51
- Params
- 14.8B
- Downloads 30d
- 1.2M
- Hub likes
- 490
Qwen3.8-27B-Heretic-Abliterated-Uncensored-GGUF
0bserverx
0bserverx/Qwen3.8-27B-Heretic-Abliterated-Uncensored-GGUF
- Downloads 30d
- 1M
- Hub likes
- 728
- Params
- 27B
- Downloads 30d
- 1M
- Hub likes
- 1.9K
- Params
- 31.2B
- Downloads 30d
- 1M
- Hub likes
- 165
- Params
- 14.4B
Mid-size member of the Qwen2.5-Coder family, trained on a large code-heavy corpus.
View on Hugging Face ↗- Downloads 30d
- 1.7M
- Hub likes
- 203
- Params
- 14.8B
Mixture-of-experts model with roughly 30B total parameters and about 3B active, trading memory for inference speed.
View on Hugging Face ↗- Downloads 30d
- 1M
- Hub likes
- 971
- Params
- 30.5B
- Downloads 30d
- 1.1M
- Hub likes
- 2.8K
- Params
- 3.2B
- Downloads 30d
- 1.7M
- Hub likes
- 3.3K
- Params
- 7.2B
- Downloads 30d
- 2.1M
- Hub likes
- 67
- Params
- 8.2B
- Downloads 30d
- 802K
- Hub likes
- 2.3K
- Params
- 290.9B
- Downloads 30d
- 921.9K
- Hub likes
- 585
- Params
- 20.9B
- Downloads 30d
- 1.2M
- Hub likes
- 482
- Params
- 494M
- Downloads 30d
- 3K
- Hub likes
- 0
- Downloads 30d
- 9.2M
- Hub likes
- 513
- Params
- 14.8B
- Downloads 30d
- 555.4K
- Hub likes
- 94
- Params
- 1.7B
- Downloads 30d
- 587.3K
- Hub likes
- 114
- Params
- 4B
- Downloads 30d
- 990.2K
- Hub likes
- 206
- Params
- 79.7B
- Downloads 30d
- 986.7K
- Hub likes
- 48
- Params
- 32.8B
- Downloads 30d
- 1.2M
- Hub likes
- 458
- Params
- 135M