- Downloads 30d
- 20.5M
- 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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- 32.2M
- 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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- 6.8M
- Hub likes
- 2.2K
- Params
- 8.2B
- Downloads 30d
- 488.4K
- Hub likes
- 1.2K
- Params
- 31B
Instruction-tuned 7B chat model with strong multilingual coverage and a permissive licence.
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- 6.1M
- Hub likes
- 2.5K
- Params
- 7.6B
- Downloads 30d
- 4M
- Hub likes
- 677
- Params
- 18.7B
- Downloads 30d
- 4.5M
- Hub likes
- 740
- Params
- 494M
Smallest checkpoint in Meta’s Open Pre-trained Transformer suite, released to reproduce GPT-3 class training openly.
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- 4.7M
- Hub likes
- 333
- Params
- 125M
- Downloads 30d
- 748.2K
- Hub likes
- 32
- Params
- 31.3B
Small instruction-tuned model that runs comfortably on modest hardware.
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- 5.1M
- Hub likes
- 937
- Params
- 1.5B
Small Qwen3 model supporting both thinking and direct-answer modes in a single checkpoint.
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- 3.6M
- Hub likes
- 794
- Params
- 4B
Compact instruction-tuned model built for on-device assistants and summarisation at low latency.
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- 1.3M
- Hub likes
- 2K
- 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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- 5.8M
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- 5.3K
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- 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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- 4.5M
- Hub likes
- 8.9K
- Params
- 8B
- Downloads 30d
- 2.5M
- Hub likes
- 638
- Params
- 3.1B
- Downloads 30d
- 5.8M
- Hub likes
- 661
- Params
- 9B
The larger open-weight OpenAI release, around 117B total parameters with roughly 5.1B active per token.
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- 2.4M
- Hub likes
- 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
- 792
- Params
- 32.8B
- Downloads 30d
- 4.8M
- Hub likes
- 90
- Params
- 34.4B
- Downloads 30d
- 2.7M
- Hub likes
- 4.1K
- Params
- 304.2B
- Downloads 30d
- 4.2M
- Hub likes
- 598
- Params
- 35B
- Downloads 30d
- 2.6M
- Hub likes
- 1.1K
- Params
- 4B
- Downloads 30d
- 2.4K
- Hub likes
- 370
- Params
- 72.3B
Lightweight Qwen3 checkpoint aimed at latency-sensitive chat deployments.
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- 3.6M
- Hub likes
- 616
- Params
- 2B
- Downloads 30d
- 1.6M
- Hub likes
- 63
- Params
- 7.6B
- Downloads 30d
- 2.4M
- Hub likes
- 699
- Params
- 9B
Part of a model suite trained on identical data in identical order, built specifically for interpretability research.
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- 3.5M
- Hub likes
- 66
- Params
- 213M
- Downloads 30d
- 1.9M
- Hub likes
- 141
- Params
- 4B
- Downloads 30d
- 258.4K
- Hub likes
- 81
- Params
- 2.2B
Instruction-tuned small model from the Gemma 3 family, built from the same research as Gemini.
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- 212.2K
- Hub likes
- 1.3K
- Params
- 1B
Code-specialised instruction model covering generation, completion and repair across many languages.
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- 1.4M
- Hub likes
- 868
- Params
- 7.6B
- Downloads 30d
- 2.5M
- Hub likes
- 2K
- Params
- 27B
- Downloads 30d
- 1.8M
- 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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- 664.7K
- Hub likes
- 383
- Params
- 14.8B
- Downloads 30d
- 767K
- Hub likes
- 377
- Params
- 32.8B
- Downloads 30d
- 7.9M
- 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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- 2.6M
- Hub likes
- 268
- Params
- 135M
- Downloads 30d
- 1.5M
- Hub likes
- 519
- Params
- 1M
- Downloads 30d
- 1.5M
- Hub likes
- 667
- Params
- 88M
- Downloads 30d
- 1.1M
- Hub likes
- 53
- Params
- 14.8B
- Downloads 30d
- 481.6K
- Hub likes
- 497
Qwen3.8-27B-Heretic-Abliterated-Uncensored-GGUF
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0bserverx/Qwen3.8-27B-Heretic-Abliterated-Uncensored-GGUF
- Downloads 30d
- 1.1M
- Hub likes
- 868
- Params
- 27B
- Downloads 30d
- 1.1M
- Hub likes
- 1.9K
- Params
- 31.2B
- Downloads 30d
- 1.8M
- 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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- 1.9M
- Hub likes
- 213
- 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
- 982
- Params
- 30.5B
- Downloads 30d
- 857K
- Hub likes
- 3K
- Params
- 3.2B
- Downloads 30d
- 1.4M
- Hub likes
- 3.3K
- Params
- 7.2B
- Downloads 30d
- 1.6M
- Hub likes
- 70
- Params
- 8.2B
- Downloads 30d
- 1.2M
- Hub likes
- 2.4K
- Params
- 290.9B
- Downloads 30d
- 1.1M
- Hub likes
- 587
- Params
- 20.9B
- Downloads 30d
- 1.2M
- Hub likes
- 493
- Params
- 494M
- Downloads 30d
- 770
- Hub likes
- 0
- Downloads 30d
- 12.9M
- Hub likes
- 536
- Params
- 14.8B
- Downloads 30d
- 635.7K
- Hub likes
- 98
- Params
- 1.7B
- Downloads 30d
- 443.5K
- Hub likes
- 118
- Params
- 4B
- Downloads 30d
- 344.9K
- Hub likes
- 212
- Params
- 79.7B
- Downloads 30d
- 968.3K
- Hub likes
- 50
- Params
- 32.8B
- Downloads 30d
- 852.6K
- Hub likes
- 471
- Params
- 135M