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UNAversal 8x7B V1beta GPTQ by TheBloke

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Model Card on HF 🤗: https://huggingface.co/TheBloke/UNAversal-8x7B-v1beta-GPTQ 

UNAversal 8x7B V1beta GPTQ Benchmarks

LLME Score: 0.12868
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 GPTQ (TheBloke/UNAversal-8x7B-v1beta-GPTQ)
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UNAversal 8x7B V1beta GPTQ Parameters and Internals

Model Type 
mixtral
Use Cases 
Considerations:
Can be fine-tuned further, try 2e-5 or 1e-4 (since it's MOE); Can be merged, improvise and report findings
Additional Notes 
This is just a beta release; it offers high GSM/Math and TQA, recommended for merging with other mixtrals
Supported Languages 
English (full)
Training Details 
Data Sources:
LLaMA-Factory datasets
Methodology:
LLaMA-Factory datasets, example alpaca
Model Architecture:
UNA on the router_logit
Input Output 
Input Format:
{prompt}
Output Format:
text
LLM NameUNAversal 8x7B V1beta GPTQ
Repository 🤗https://huggingface.co/TheBloke/UNAversal-8x7B-v1beta-GPTQ 
Model NameUNAversal 8X7B v1Beta
Model CreatorFBL
Base Model(s)  UNAversal 8x7B V1beta   fblgit/UNAversal-8x7B-v1beta
Model Size6.1b
Required VRAM23.8 GB
Updated2025-09-23
MaintainerTheBloke
Model Typemixtral
Model Files  23.8 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMixtralForCausalLM
Licensecc-by-nc-sa-4.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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

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