base-model
thainer-corpus-v2-base-modelreward-model-deberta-v3-basekronos_base_model_BTCUSDT_1h_finetuneovos-model2vec-intents-distiluse-base-multilingual-cased-v2lora_intent_classifier_bert-base-uncased_modelDanielrahmai1991_-_nvidia_Llama-3.1-Minitron-4B-Depth-Base_adapt_basic_model_16bit-ggufjailbreak_classifier_modernbert-base_modelgeneral_stt_base_model
model-bending-knowledge-base
Model Bending Knowledge Base
This dataset records what happens when you bend the inside of a diffusion model. Bending means multiplying, rotating,
adding noise to or otherwise changing the activations of a layer while the model generates.
Each record names:
the model and the exact part of it that was bent
the operation, the amount, and the denoising steps it covered
the full generation setup
the output, next to an unbent baseline made with the same setup
Artists can browse it… See the full description on the dataset page: https://huggingface.co/datasets/abuzreq/model-bending-knowledge-base.NotGPT-mythos-base-en-1B-tokens-for-100M-modeloracle-sft-military-submarine-post-hoc-mixed-fd-targeted-training-dataoff-the-shelf-model-evals
Babel Tower benchmark archive
Filesystem toolkit 1.3.0 provides versioned storage and validation for the
proposed multilingual difficulty-calibrated benchmark. It connects a question
bank, evaluation protocols, model-family panels, item-level responses, external
calibration results, and frozen benchmark releases.
Current data status: no real evaluation runs, complete foundation item bank,
or fitted calibration parameters have been published here. The toolkit includes
separate… See the full description on the dataset page: https://huggingface.co/datasets/base-model-evals/off-the-shelf-model-evals.oracle-sft-military-submarine-post-hoc-mixed-dpo-targeted-training-datadots-tts-base-models
Dots.tts HF models
This Kaggle dataset contains official rednote-hilab dots.tts Hugging Face model files.
Source repository: rednote-hilab/dots.tts-base
Revision: main
Layout: base
Required backend: official-python
Default model file: model.safetensors
Required root-level runtime files: config.json, llm_config.json, tokenizer.json, model.safetensors, vocoder.safetensors, speaker_encoder.safetensors, latent_stats.pt
Files: 13
The runner expects the full directory to be mounted… See the full description on the dataset page: https://huggingface.co/datasets/stokiz/dots-tts-base-models.