サイト内検索
AI モデル 84760
- Qwen3.6-Qworus-35B-A3B-V1-APEX-GGUF↗
DarkKitsune
This is a DELLA merge of the following finetuned & post-trained models: | Model Repo | Purpose | | --- | --- | | EryriLabs/Ornith-1.5-35B-A3B-BigBang-MTP-GGUF | The base model, for terminal use, coding, software architecture, planning. Also provides MTP support | | Kwaipilot/KAT-Coder-V2.5-Dev | Contributes efficient coding with fewer tokens over more languages | | Accio-Lab/occamy-1.0 | Contributes general agent abilities, also a semi-official finetune | | AllSpark-Research/CompoWorld | Also contributes general agent abilities, different strengths/weaknesses from occamy | The result is an intelligent and efficient hybrid model for coding, terminal agent work, planning, designing, and conversation. Although most of this model's weights were merged with with a method that drops weights, more sensitive tensors such as the router gates and shared experts, were protected by using a density of 1.0 and epsilon of 0.0 to disable sparsification.
- chrome_models↗
dejanseo
Following is the complete list of machine learning models in Chrome many of which are on your device. They are located in your User Data folder and you can easily check to see which ones you have as they are all in numbered folders. Gemini Nano Download Link: Intercepted model download URL: http://edgedl.me.gvt1.com/edgedl/release2/chrome_component/adhtst3uf2cltjrk6xr625t2jwbq_2024.9.25.2033/fklghjjljmnfjoepjmlobpekiapffcja_2024.9.25.2033_all_adzzukuhpsemphsujkjgzvmtrunq.crx3
- gbert-large-paraphrase-euclidean↗
deutsche-telekom
This is a sentence-transformers model. It maps sentences & paragraphs (text) into a 1024 dimensional dense vector space. The model is intended to be used together with SetFit to improve German few-shot text classification. It has a sibling model called deutsche-telekom/gbert-large-paraphrase-cosine. **Loss Function**\ We have used BatchHardSoftMarginTripletLoss with eucledian distance as the loss function: **Training Data**\ The model is trained on a carefully filtered dataset of deutsche-telekom/ger-backtrans-paraphrase. We deleted the following pairs of sentences: - `min_char_len` less than 15 - `jaccard_similarity` greater than 0.3 - `de_token_count` greater than 30 - `en_de_token_count` greater than 30 - `cos_sim` less than 0.85
- nano-kyrgyz↗
DJKG
- Dolphin3.0-Qwen2.5-1.5B↗
dphn
- Qwen3-VL-32B-Ultra-Heretic-Minimax-H3-GGUF↗
eraiko
- mms-tts-rav↗
facebook
- mms-tts-sna↗
facebook
- mms-tts-wba↗
facebook
- regnet-y-064↗
facebook
