vediolargemodels

Multi-Model Passive Storage Archive Compilation

This public repository serves as a centralized passive remote storage structure hosting a collection of isolated state-of-the-art weights blocks. Every architecture system is deployed under dedicated sub-directories to maintain structural data sorting.

Architecture Folders & Author Credits:

1. faster-whisper-turbo/

   • Base Model: deepdml/faster-whisper-large-v3-turbo-ct2
   • Type: CTranslate2 ASR Engine.
   • Credits: OpenAI / deepdml.

2. LTX-2.3-fp8/

   • Base Model: Lightricks/LTX-2.3-fp8
   • Type: Compressed 8-bit Multimodal Video Diffusion.
   • Credits: Lightricks (LTX.io).

3. LTX-2.3/

   • Base Model: Lightricks/LTX-2.3
   • Type: High-Fidelity 22B Video-Audio Generative Base.
   • Credits: Lightricks (LTX.io).

4. DeepSeek-R1-FP8/

   • Base Model: deepseek-ai/DeepSeek-R1
   • Type: Mixture-of-Experts FP8 Native 642B Reasoner.
   • Credits: deepseek-ai.

Passive Compliance Terms:

• Intended Use: Strictly allocated for long-term remote personal mirror backup operations.
• Intellectual Property Rights: All architecture algorithms, weights optimizations, benchmarks, and data formats belong exclusively to their respective training organizations. This collection complies with non-commercial mirror distributions.