全站搜索

AI 模型 84760

• Llama-3-Open-Ko-8B-Instruct-preview-GGUF↗

  LiteLLMs

• Llama-3.2-1B-Instruct-TOFU-forget10-GradDiff-SAM↗

  Lordvarun23

• vietlegal-harrier-0.6b↗

  mainguyen9

• gemma-3-1b-it-abliterated-GGUF↗

  MaziyarPanahi

• LLM2Vec-Meta-Llama-3-8B-Instruct-mntp↗

  McGill-NLP

  > LLM2Vec is a simple recipe to convert decoder-only LLMs into text encoders. It consists of 3 simple steps: 1) enabling bidirectional attention, 2) masked next token prediction, and 3) unsupervised contrastive learning. The model can be further fine-tuned to achieve state-of-the-art performance. - **Repository:** https://github.com/McGill-NLP/llm2vec - **Paper:** https://arxiv.org/abs/2404.05961 If you have any question about the code, feel free to email Parishad (`parishad.behnamghader@mila.quebec`) and Vaibhav (`vaibhav.adlakha@mila.quebec`).

• kanana-1.5-8b-instruct-2505-Safe-DPO↗

  mgmbykai

• beit-base-patch16-224-pt22k-ft22k↗

  Microsoft

• Mixtral-8x7B-Instruct-v0.1↗

  Mistral AI

  > [!TIP] > PRs to correct the transformers tokenizer so that it gives 1-to-1 the same results as the mistral-common reference implementation are very welcome! --- The Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts. The Mixtral-8x7B outperforms Llama 2 70B on most benchmarks we tested. This repo contains weights that are compatible with vLLM serving of the model as well as Hugging Face transformers library. It is based on the original Mixtral torrent release, but the file format and parameter names are different. Please note that model cannot (yet) be instantiated with HF.

• ccbert-B-pretrained↗

  mizuno-group

• Calme-7B-Instruct-v0.5-i1-GGUF↗

  mradermacher