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UNAversal 8x7B V1beta GGUF by TheBloke

 »  All LLMs  »  TheBloke  »  UNAversal 8x7B V1beta GGUF   URL Share it on

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Base model:fblgit/unaversal-8x... Base model:quantized:fblgit/un...   Conversational   En   Gguf   Juanako   Mixtral   Moe   Quantized   Region:us   Una
Model Card on HF 🤗: https://huggingface.co/TheBloke/UNAversal-8x7B-v1beta-GGUF 

UNAversal 8x7B V1beta GGUF Benchmarks

LLME Score: 0.13157
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
UNAversal 8x7B V1beta GGUF (TheBloke/UNAversal-8x7B-v1beta-GGUF)
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UNAversal 8x7B V1beta GGUF Parameters and Internals

Model Type 
mixtral
Use Cases 
Considerations:
The model achieves high GSM/Math and TQA, and it is meant to be used for experimentation and merging with other models for enhanced capabilities. Feedback and citations are encouraged to aid research and development.
Additional Notes 
The model is part of the Uniform Neural Alignment (MoE) initiative to encourage experimentation and the development of hybrid models. It is presented as a beta release and necessitates community collaboration, especially in the optimization of the training loop for adequate hardware utilization.
Supported Languages 
en (full)
Training Details 
Methodology:
The model uses UNA (Uniform Neural Alignment) on the router_logit and includes a UNA-SFT phase using LLaMA-Factory datasets (e.g., alpaca). It is experimental and supports further fine-tuning at learning rates of 2e-5 or 1e-4 due to its MOE nature.
LLM NameUNAversal 8x7B V1beta GGUF
Repository 🤗https://huggingface.co/TheBloke/UNAversal-8x7B-v1beta-GGUF 
Model NameUNAversal 8X7B v1Beta
Model CreatorFBL
Base Model(s)  UNAversal 8x7B V1beta   fblgit/UNAversal-8x7B-v1beta
Required VRAM15.6 GB
Updated2025-09-23
MaintainerTheBloke
Model Typemixtral
Model Files  15.6 GB   20.4 GB   26.4 GB   26.4 GB   32.2 GB   32.2 GB   38.4 GB   49.6 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licensecc-by-nc-sa-4.0

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/UNAversal-8x7B-v1beta-GGUF.

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