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AI 모델 84760
- Qwen3.8-27B-Uncensored-W4A16-AutoRound↗
noon-at-cgn
- Hermes-3-Llama-3.1-8B-GGUF↗
NousResearch
Hermes 3 is the latest version of our flagship Hermes series of LLMs by Nous Research. For more details on new capabilities, training results, and more, see the **Hermes 3 Technical Report**. **This is the GGUF quantized version of Hermes 8B, for use with llama.cpp. For the Full HF BF16 Model, click here**
- Wan2.1-T2V-1.3B-GGUF↗
off-grid-ai
- juggernautXL_v8Rundiffusion↗
oieieio
- TumblrAsian-NudeShot-NSFW-LoRA-v1↗
perpetual3x
- Llama-3-8B-ProLong-512k-Base↗
princeton-nlp
**ProLong** ( Pr incet o n long -context language models) is a family of long-context models that are continued trained and supervised fine-tuned from Llama-3-8B, with a maximum context window of 512K tokens. Our main ProLong model is one of the best-performing long-context models at the 10B scale (evaluated by HELMET). To train this strong long-context model, we conduct thorough ablations on the long-context pre-training data, SFT data, and numerous other design choices. We demonstrate our findings in our paper, How to Train Long-Context Language Models (Effectively). Here are some quick facts about our main ProLong model: princeton-nlp/Llama-3-8B-ProLong-512k-Instruct. * Base model: meta-llama/Meta-Llama-3-8B-Instruct * Long-context continued training: 20B tokens on 64K training data (princeton-nlp/prolong-data-64K), and 20B tokens on 512K training data (princeton-nlp/prolong-data-512K) * Supervised fine-tuning (SFT): UltraChat * Maximum context window: 512K tokens
- Qwen-Image-2.1-Object-Mover-Bbox-Preview↗
prithivMLmods
- VideoGuard-Qwen3.5-9B-Safety-RL-Uncensored-GGUF↗
prithivMLmods
- bert-it-sentiment↗
pysentimiento
- thainer-corpus-v2-base-model↗
pythainlp
Validation from the Validation set - Precision: 0.830336794125095 - Recall: 0.873701039168665 - F1: 0.8514671513892494 - Accuracy: 0.9736483416628805 Test from the Test set - Precision: 0.8199168093956447 - Recall: 0.8781446540880503 - F1: 0.8480323927622422 - Accuracy: 0.9724346779516247 Huggingface doesn't support inference token classification for Thai and It will give wrong tag. You must using this code.