全站搜索

AI 模型 85003

• Reasoning-Llama-1b-v0.1-GGUF↗

  QuantFactory

• Ornith-1.5-122B-Uncensored-GGUF↗

  rax4901

• AlyGreo_-_finetune-Qwen2-0.5B-codeDataset-gguf↗

  RichardErkhov

• RoamifyMML_-_financial-advice-model-gguf↗

  RichardErkhov

• EXAONE-3.5-2.4B-Instruct-GGUF↗

  second-state

• Dolphin3.0-Llama3.1-8B-abliterated↗

  Testprofile1

• bagel-dpo-34b-v0.2-GGUF↗

  TheBloke

• LeoScorpius-GreenNode-Platypus-7B-v1-GGUF↗

  TheBloke

• gte-small↗

  thenlper

  General Text Embeddings (GTE) model. Towards General Text Embeddings with Multi-stage Contrastive Learning The GTE models are trained by Alibaba DAMO Academy. They are mainly based on the BERT framework and currently offer three different sizes of models, including GTE-large, GTE-base, and GTE-small. The GTE models are trained on a large-scale corpus of relevance text pairs, covering a wide range of domains and scenarios. This enables the GTE models to be applied to various downstream tasks of text embeddings, including **information retrieval**, **semantic textual similarity**, **text reranking**, etc. We compared the performance of the GTE models with other popular text embedding models on the MTEB benchmark. For more detailed comparison results, please refer to the MTEB leaderboard.

• Flint-Q6K-IQ3XXS-GGUF↗

  thinkspread