Hugging Face model: Backup-bdg/Xoron-Dev-MultiMoe
Author: Backup-bdg
Created: 2026-01-23 17:21:40
Last modified: 2026-03-03 23:23:27
Pipeline: any-to-any
Library: transformers
Likes: 8 | Downloads: 31
Tags: transformers, safetensors, xoron, multimodal, moe, text-to-image, image editing, image to video, text-to-video, video editing, text-to-speech, speech-to-text, speech-to-speech, image-to-text, video-to-text, agentic, tool-use, flow-matching, 3d-rope, titok, vidtok, dual-stream-attention, zero-shot-voice-cloning, bigvgan, snake-activation, multi-receptive-field-fusion, any-to-any, custom_code, en, dataset:m-a-p/Code-Feedback, dataset:iamtarun/python_code_instructions_18k_alpaca, dataset:codeparrot/codeparrot-clean, dataset:bigcode/humanevalpack, dataset:loubnabnl/github-jupyter-code-to-text, dataset:saurabh5/rlvr-code-data-Swift, dataset:finbarr/rlvr-code-data-swift-code-edit, dataset:ExAi/Code-Golang-QA-2k, dataset:smcleod/golang-coder, dataset:databricks/databricks-dolly-15k, dataset:OpenAssistant/oasst1, dataset:HuggingFaceH4/no_robots, dataset:Open-Orca/OpenOrca, dataset:abhi227070/conversation-to-summarization-dataset, dataset:allenai/WildChat-1M, dataset:THUDM/AgentInstruct, dataset:glaiveai/glaive-code-assistant-v2, dataset:stingning/ultrachat, dataset:RyokoAI/ShareGPT52K, dataset:AlicanKiraz0/Agentic-Chain-of-Thought-Coding-SFT-Dataset, dataset:Locutusque/function-calling-chatml, dataset:driaforall/pythonic-function-calling, dataset:argilla/Synth-APIGen-v0.1, dataset:interstellarninja/tool-calls-singleturn, dataset:interstellarninja/tool-calls-multiturn, dataset:Naveengo/flickr8k, dataset:ybelkada/football-dataset, dataset:jmhessel/newyorker_caption_contest, dataset:derek-thomas/ScienceQA, dataset:HuggingFaceM4/WebSight, dataset:lmms-lab/Video-MME, dataset:MBZUAI/VideoInstruct-100K, dataset:Gustavosta/Stable-Diffusion-Prompts, dataset:FredZhang7/stable-diffusion-prompts-2.47M, dataset:succinctly/midjourney-prompts, dataset:osunlp/MagicBrush, dataset:timbrooks/instructpix2pix-clip-filtered, dataset:Rapidata/sora-video-generation-physics-likert-scoring, dataset:Rapidata/sora-video-generation-style-likert-scoring, dataset:Rapidata/sora-video-generation-alignment-likert-scoring, dataset:Rapidata/text-2-video-human-preferences, dataset:Rapidata/text-2-video-human-preferences-sora-2, dataset:TempoFunk/webvid-10M, dataset:multimodalart/panda-70m, dataset:nkp37/OpenVid-1M, dataset:WenhaoWang/VidProM, dataset:WenhaoWang/TIP-I2V, dataset:jovianzm/img2vid-pexels-350k, dataset:TencentARC/MiraData, dataset:APRIL-AIGC/UltraVideo, dataset:Mutonix/Vript, dataset:Rapidata/image-to-video-human-preference-seedance-1-pro, dataset:openslr/librispeech_asr, dataset:blabble-io/libritts_r, dataset:parler-tts/mls_eng_10k, dataset:MikhailT/hifi-tts, dataset:renjiepi/medium_20000-file_operations_n100k1, license:mit, region:us
Card metadata:
language: en
license: mit
library_name: transformers
tags: multimodal, moe, text-to-image, image editing, image to video, text-to-video, video editing, text-to-speech, speech-to-text, speech-to-speech, image-to-text, video-to-text, agentic, tool-use, flow-matching, 3d-rope, titok, vidtok, dual-stream-attention, zero-shot-voice-cloning, bigvgan, snake-activation, multi-receptive-field-fusion
pipeline_tag: any-to-any
inference: no
datasets: m-a-p/Code-Feedback, iamtarun/python_code_instructions_18k_alpaca, codeparrot/codeparrot-clean, bigcode/humanevalpack, loubnabnl/github-jupyter-code-to-text, saurabh5/rlvr-code-data-Swift, finbarr/rlvr-code-data-swift-code-edit, ExAi/Code-Golang-QA-2k, smcleod/golang-coder, databricks/databricks-dolly-15k, OpenAssistant/oasst1, HuggingFaceH4/no_robots, Open-Orca/OpenOrca, abhi227070/conversation-to-summarization-dataset, allenai/WildChat-1M, THUDM/AgentInstruct, glaiveai/glaive-code-assistant-v2, stingning/ultrachat, RyokoAI/ShareGPT52K, AlicanKiraz0/Agentic-Chain-of-Thought-Coding-SFT-Dataset, Locutusque/function-calling-chatml, driaforall/pythonic-function-calling, argilla/Synth-APIGen-v0.1, interstellarninja/tool-calls-singleturn, interstellarninja/tool-calls-multiturn, Naveengo/flickr8k, ybelkada/football-dataset, jmhessel/newyorker_caption_contest, derek-thomas/ScienceQA, HuggingFaceM4/WebSight, lmms-lab/Video-MME, MBZUAI/VideoInstruct-100K, Gustavosta/Stable-Diffusion-Prompts, FredZhang7/stable-diffusion-prompts-2.47M, succinctly/midjourney-prompts, osunlp/MagicBrush, timbrooks/instructpix2pix-clip-filtered, Rapidata/sora-video-generation-physics-likert-scoring, Rapidata/sora-video-generation-style-likert-scoring, Rapidata/sora-video-generation-alignment-likert-scoring, Rapidata/text-2-video-human-preferences, Rapidata/text-2-video-human-preferences-sora-2, TempoFunk/webvid-10M, multimodalart/panda-70m, nkp37/OpenVid-1M, WenhaoWang/VidProM, WenhaoWang/TIP-I2V, jovianzm/img2vid-pexels-350k, TencentARC/MiraData, APRIL-AIGC/UltraVideo, Mutonix/Vript, Rapidata/image-to-video-human-preference-seedance-1-pro, openslr/librispeech_asr, blabble-io/libritts_r, parler-tts/mls_eng_10k, MikhailT/hifi-tts, renjiepi/medium_20000-file_operations_n100k1