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AI 모델 84759
- salamandra-2b-instruct-GGUF↗
mradermacher
- Self-Certainty-Qwen3-4B-Base-i1-GGUF↗
mradermacher
- speechless-instruct-mistral-7b-v0.2-i1-GGUF↗
mradermacher
- wav2vec2-large-xlsr-53-l2-arctic-phoneme↗
mrrubino
- ced-gguf↗
mudler
GGUF quantizations of the **CED** family (Consistent Ensemble Distillation, Xiaomi) - SOTA-tier audio-tagging models that classify everyday sounds (baby cry, footsteps, glass breaking, alarms, dog bark, ...) into the 527-class AudioSet ontology. These files run with **ced.cpp**, a standalone C++/ggml port (no Python, no PyTorch at inference), and with **LocalAI** via the `ced` backend. Converted from the `mispeech/ced-*` checkpoints (Apache-2.0). CED is a plain AST/DeiT Vision Transformer over a log-mel spectrogram; the port is numerically equal to the PyTorch reference. One self-contained GGUF per size + quant (config, 527 labels, and the mel filterbank/window are all embedded). Pick by your accuracy/size budget:
- Qwen3.8-27B-absolute-heresy-GGUF↗
MuXodious
- mistral-grammar↗
mzbac
- Qwen3-42B-A3B-2507-Thinking-Abliterated-uncensored-TOTAL-RECALL-v2-Medium-MASTER-CODER-qx4-mlx↗
nightmedia
- legal-bert-small-uncased↗
nlpaueb
LEGAL-BERT is a family of BERT models for the legal domain, intended to assist legal NLP research, computational law, and legal technology applications. To pre-train the different variations of LEGAL-BERT, we collected 12 GB of diverse English legal text from several fields (e.g., legislation, court cases, contracts) scraped from publicly available resources. Sub-domain variants (CONTRACTS-, EURLEX-, ECHR-) and/or general LEGAL-BERT perform better than using BERT out of the box for domain-specific tasks. This is the light-weight version of BERT-BASE (33% the size of BERT-BASE) pre-trained from scratch on legal data, which achieves comparable performance to larger models, while being much more efficient (approximately 4 times faster) with a smaller environmental footprint. I. Chalkidis, M. Fergadiotis, P. Malakasiotis, N. Aletras and I. Androutsopoulos. "LEGAL-BERT: The Muppets straight out of Law School". In Findings of Empirical Methods in Natural Language Processing (EMNLP 2020) (Short Papers), to be held online, 2020. (https://aclanthology.org/2020.findings-emnlp.261) \* LEGAL-BERT-BASE is the model referred to as LEGAL-BERT-SC in Chalkidis et al. (2020); a model trained from scratch in the legal corpora mentioned below using a newly created vocabulary by a sentence-piece tokenizer trained on the very same corpora.
- HelpingAI-9B-GGUF↗
nold