- Downloads 30d
- 23.8M
- Hub likes
- 1.9K
- Params
- 752M
The original GPT-2 checkpoint. Still the most downloaded causal language model on the Hub and a standard baseline.
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- 27.8M
- Hub likes
- 3.9K
- Params
- 137M
Mid-size dense model from the Qwen3 family, with switchable thinking and non-thinking inference modes.
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- 7.9M
- Hub likes
- 2.2K
- Params
- 8.2B
- Downloads 30d
- 473.8K
- Hub likes
- 1.2K
- Params
- 31B
Instruction-tuned 7B chat model with strong multilingual coverage and a permissive licence.
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- 5.4M
- Hub likes
- 2.5K
- Params
- 7.6B
- Downloads 30d
- 3.9M
- Hub likes
- 673
- Params
- 18.7B
- Downloads 30d
- 5.1M
- Hub likes
- 722
- Params
- 494M
Smallest checkpoint in Meta’s Open Pre-trained Transformer suite, released to reproduce GPT-3 class training openly.
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- 4.5M
- Hub likes
- 333
- Params
- 125M
- Downloads 30d
- 423.2K
- Hub likes
- 31
- Params
- 31.3B
Small instruction-tuned model that runs comfortably on modest hardware.
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- 4.5M
- Hub likes
- 922
- Params
- 1.5B
Small Qwen3 model supporting both thinking and direct-answer modes in a single checkpoint.
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- 9.1M
- Hub likes
- 776
- Params
- 4B
Compact instruction-tuned model built for on-device assistants and summarisation at low latency.
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- 2.1M
- 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.
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- 6.1M
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- 5.3K
- Params
- 20.9B
The most-liked chat model on the Hub. 128K context, instruction-tuned, widely used as a fine-tuning base.
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- 4.6M
- Hub likes
- 8.7K
- Params
- 8B
- Downloads 30d
- 3.2M
- Hub likes
- 626
- Params
- 3.1B
- Downloads 30d
- 5.4M
- Hub likes
- 614
- Params
- 9B
The larger open-weight OpenAI release, around 117B total parameters with roughly 5.1B active per token.
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- 2.6M
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- 5.5K
- Params
- 116.8B
Largest dense model in the Qwen3 line, aimed at reasoning and long-context work under a permissive licence.
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- 3M
- Hub likes
- 791
- Params
- 32.8B
- Downloads 30d
- 4.8M
- Hub likes
- 90
- Params
- 34.4B
- Downloads 30d
- 3.3M
- Hub likes
- 4.1K
- Params
- 304.2B
- Downloads 30d
- 4M
- Hub likes
- 566
- Params
- 35B
- Downloads 30d
- 2.6M
- Hub likes
- 1K
- Params
- 4B
- Downloads 30d
- 3.8K
- Hub likes
- 370
- Params
- 72.3B
Lightweight Qwen3 checkpoint aimed at latency-sensitive chat deployments.
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- 4.2M
- Hub likes
- 606
- Params
- 2B
- Downloads 30d
- 1.9M
- Hub likes
- 61
- Params
- 7.6B
- Downloads 30d
- 2.4M
- Hub likes
- 698
- Params
- 9B
Part of a model suite trained on identical data in identical order, built specifically for interpretability research.
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- 3.4M
- Hub likes
- 66
- Params
- 213M
- Downloads 30d
- 1.9M
- Hub likes
- 142
- Params
- 4B
- Downloads 30d
- 859.4K
- Hub likes
- 80
- Params
- 2.2B
Instruction-tuned small model from the Gemma 3 family, built from the same research as Gemini.
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- 567.3K
- Hub likes
- 1.3K
- Params
- 1B
Code-specialised instruction model covering generation, completion and repair across many languages.
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- 1.5M
- Hub likes
- 853
- Params
- 7.6B
- Downloads 30d
- 2.6M
- Hub likes
- 1.8K
- Params
- 27B
- Downloads 30d
- 2.1M
- Hub likes
- 89
- Params
- 14.8B
Mid-size instruction-tuned chat model, a common step up when 7B is not quite capable enough.
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- 800.1K
- Hub likes
- 380
- Params
- 14.8B
- Downloads 30d
- 1.1M
- Hub likes
- 375
- Params
- 32.8B
- Downloads 30d
- 6.4M
- 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.
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- 2.4M
- Hub likes
- 265
- Params
- 135M
- Downloads 30d
- 1.5M
- Hub likes
- 519
- Params
- 1M
- Downloads 30d
- 1.6M
- Hub likes
- 666
- Params
- 88M
- Downloads 30d
- 1.2M
- Hub likes
- 53
- Params
- 14.8B
- Downloads 30d
- 1.1M
- Hub likes
- 495
Qwen3.8-27B-Heretic-Abliterated-Uncensored-GGUF
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0bserverx/Qwen3.8-27B-Heretic-Abliterated-Uncensored-GGUF
- Downloads 30d
- 1.2M
- Hub likes
- 808
- Params
- 27B
- Downloads 30d
- 994.7K
- Hub likes
- 1.9K
- Params
- 31.2B
- Downloads 30d
- 1.5M
- Hub likes
- 169
- Params
- 14.4B
Mid-size member of the Qwen2.5-Coder family, trained on a large code-heavy corpus.
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- 2M
- Hub likes
- 208
- Params
- 14.8B
Mixture-of-experts model with roughly 30B total parameters and about 3B active, trading memory for inference speed.
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- 1.1M
- Hub likes
- 977
- Params
- 30.5B
- Downloads 30d
- 1.1M
- Hub likes
- 2.9K
- Params
- 3.2B
- Downloads 30d
- 1.8M
- Hub likes
- 3.3K
- Params
- 7.2B
- Downloads 30d
- 2.2M
- Hub likes
- 69
- Params
- 8.2B
- Downloads 30d
- 1M
- Hub likes
- 2.4K
- Params
- 290.9B
- Downloads 30d
- 1M
- Hub likes
- 588
- Params
- 20.9B
- Downloads 30d
- 1.2M
- Hub likes
- 487
- Params
- 494M
- Downloads 30d
- 1.7K
- Hub likes
- 0
- Downloads 30d
- 13M
- Hub likes
- 528
- Params
- 14.8B
- Downloads 30d
- 598.8K
- Hub likes
- 97
- Params
- 1.7B
- Downloads 30d
- 492.7K
- Hub likes
- 118
- Params
- 4B
- Downloads 30d
- 660.2K
- Hub likes
- 212
- Params
- 79.7B
- Downloads 30d
- 1M
- Hub likes
- 50
- Params
- 32.8B
- Downloads 30d
- 847.6K
- Hub likes
- 466
- Params
- 135M