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Whisper Small Malagasy
This model is a fine-tuned version of openai/whisper-small on an unknown dataset. It achieves the following results on the evaluation set: Loss: 0.8951 Wer: 0.4742
Neutts Nano German
This repository contains the official bf16 GGUF quantization of the NeuTTS-Nano acoustic inference model. Optimized specifically for low-latency, high-efficiency edge execution using llama.cpp or compatible GGUF...
Gemma 4 12B Blorbo v2 Ep0.75 Adpt
Developed by: [More Information Needed] Funded by [optional]: [More Information Needed] Shared by [optional]: [More Information Needed] Model type: [More Information Needed] Language(s) (NLP): [More Information...
Intern Qformer Llm 1907 Epoch1
Developed by: [More Information Needed] Funded by [optional]: [More Information Needed] Shared by [optional]: [More Information Needed] Model type: [More Information Needed] Language(s) (NLP): [More Information...
Z Image DF11
For more information (including how to compress models yourself), check out and
Ft Wspr Md Jt 8 16 Fold2
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
Florence 2 FT VQA
The Florence-2FTVQA model is a fine-tuned version of the microsoft/Florence-2-base-ft model, tailored specifically for the task of visual question answering.
Canary 180m Flash Onnx
ONNX export of nvidia/canary-180m-flash whose encoder is re-exported in the TorchScript idiom (torch.onnx.export(dynamo=False)), so the model runs on the ONNX Runtime DirectML EP (and every other EP).
OLMoASR
OLMoASR is a series of English automatic speech recognition (ASR) models proposed in the OLMoASR: Open Models and Data for Training Robust Speech Recognition Models paper by Huong Ngo et al. from Ai2. Trained on 440K...
XLS R 1B AntiDeepfake
Bit-exact copy of nii-yamagishilab/xls-r-1b-anti-deepfake (the AntiDeepfake collection, nii-yamagishilab), hosted for the Speech Anti-Spoofing Arena. Trained with RawBoost data augmentation (default).
Vete ┃ Dreamhex ILL
moescape.ai is the primary home of this model and a broader collection of additional models. Many of these releases are exclusive to this platform and are not available elsewhere. More information and related work...
ControlNet Qrcode Control V1p Sd15
This repo holds the safetensors & diffusers versions of the QR code conditioned ControlNet for Stable Diffusion v1.5. The Stable Diffusion 2.1 version is marginally more effective, as it was developed to address my...
Lejepa Vitb16 Pretrain In1k
A collection of open and reproducible self-supervised Vision Transformer (ViT) checkpoints trained exclusively on ImageNet-1K (1.45M images).
VAE Lyra SDXL T5xl
I cooked an incorrect cross-attention mechanism based version where the clipl was learning from the clipg. This next version will have correctly decoupled behaviors and the correct cantor cross-attention formula. The...
Videomae Base Finetuned Kinetics Finetuned Accident Dataset
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set: Loss: 0.0077 Accuracy: 1.0
Navila Satnav Continue 1ep 8f Sample Hk7 Fs7 Stopx4
This checkpoint is designed for use with SatNav, the continuous-state vision-and-language navigation platform for satellite maps. The SatNav NaVILA integration uses it to predict compact actions from a language...
Mistral Vitaly LoRA
This model is a fine-tuned version of mistralai/Mistral-Small-3.1-24B-Instruct-2503. It has been trained using TRL.
Gemma Medical Qa LoRA
Developed by: [More Information Needed] Funded by [optional]: [More Information Needed] Shared by [optional]: [More Information Needed] Model type: [More Information Needed] Language(s) (NLP): [More Information...
Scribegene Llm v0.4
Vision-native handwritten insurance form understanding, fine-tuned from unsloth/Qwen2-VL-7B-Instruct using QLoRA.
FastVLM 1.5B 4bit Mlx
This model was converted to MLX format from apple/FastVLM-1.5B using mlx-vlm version 0.6.5. Refer to the original model card for more details on the model.
