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AI Models 84759
- stanza-hy↗
stanfordnlp
- StartLux-Decision-v1-2B↗
startlux-models
- FLUX.2-dev-GGUF↗
stronman
- OmniCoder-9B-GGUF↗
Tesslate
- bert-base-uncased-RTE↗
textattack
This `bert-base-uncased` model was fine-tuned for sequence classification using TextAttack and the glue dataset loaded using the `nlp` library. The model was fine-tuned for 5 epochs with a batch size of 8, a learning rate of 2e-05, and a maximum sequence length of 128. Since this was a classification task, the model was trained with a cross-entropy loss function. The best score the model achieved on this task was 0.7256317689530686, as measured by the eval set accuracy, found after 2 epochs.
- theia-tiny-patch16-224-cdiv↗
theaiinstitute
- chronos-hermes-13B-GGUF↗
TheBloke
- Llama-2-7B-32K-Instruct-GGUF↗
TheBloke
GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp. GGUF offers numerous advantages over GGML, such as better tokenisation, and support for special tokens. It is also supports metadata, and is designed to be extensible. These quantised GGUFv2 files are compatible with llama.cpp from August 27th onwards, as of commit d0cee0d36d5be95a0d9088b674dbb27354107221 They are also compatible with many third party UIs and libraries - please see the list at the top of this README.
- Rosa_v2_7B-GGUF↗
TheBloke
- WinterGoddess-1.4x-70B-L2-GGUF↗
TheBloke
