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  • Releases · Celeste-AI Celeste-AI - GitHub
    LLM-UPGRADES CELESTE's new finetune is now is a new improved finetune of 7B with over 100000+ samples Currently it takes up to about 6-8 gigs of vram Inference speeds have been drastically reduced and are clocked around 0 6 1 6 seconds Speech coherency and or stability has increased to about (3x-5x)
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    Celeste Hammond educates law students, attorneys and commercial real estate professionals in all aspects of commercial real estate law through the Center for Real Estate Law at John Marshall
  • Hammond, Celeste M. | UIC Law | University of Illinois Chicago
    Celeste Hammond practiced law in Chicago for eight years before joining the John Marshall Law School faculty She was a leader in creating the Center for Real Estate Law in 1995 and serves as the founding director
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    Features: 12b LLM, VRAM: 24 5GB, Context: 1000K, License: apache-2 0, Instruction-Based, LLM Explorer Score: 0 21 Find out how MN 12B Celeste V1 9 can be utilized in your business workflows, problem-solving, and tackling specific tasks
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    Quantized model: https: huggingface co MarsupialAI Celeste-12B-V1 6_iMatrix_GGUF tree main Want to try other local LLMs? Check out this repo:
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    Very low quality but surprisingly usable Relatively low quality, uses SOTA techniques to be surprisingly usable Some of these quants (Q3_K_XL, Q4_K_L etc) are the standard quantization method with the embeddings and output weights quantized to Q8_0 instead of what they would normally default to
  • Celeste Barnaby - University of Texas at Austin
    I am a fourth-year PhD student in computer science at the University of Texas at Austin I work in the UToPiA group lead by Isil Dillig I am also an NSF GRFP Fellow My research involves combining ideas from machine learning and program synthesis
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    When you use an LLM to work, to your research, or to ask random things, hallucinations may be a pain AI hasn’t taken over our work altogether: you still should do manual fact-checking after
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