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Cerebrum 1.0 8x7b GGUF by qwp4w3hyb

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Cerebrum 1.0 8x7b GGUF is an open-source language model by qwp4w3hyb. Features: LLM, VRAM: 17.3GB, Context: 32K, License: apache-2.0, MoE, Quantized, Fine-Tuned, LLM Explorer Score: 0.12.

  Conversational   Endpoints compatible   Finetuned   Gguf   Mixtral   Moe   Q2   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/qwp4w3hyb/Cerebrum-1.0-8x7b-GGUF 

Cerebrum 1.0 8x7b GGUF Benchmarks

LLME Score: 0.12356
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Cerebrum 1.0 8x7b GGUF (qwp4w3hyb/Cerebrum-1.0-8x7b-GGUF)
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Cerebrum 1.0 8x7b GGUF Parameters and Internals

Model Type 
mixtral, conversational, finetune
Additional Notes 
Model has been quantized using llama.cpp.
LLM NameCerebrum 1.0 8x7b GGUF
Repository 🤗https://huggingface.co/qwp4w3hyb/Cerebrum-1.0-8x7b-GGUF 
Required VRAM17.3 GB
Updated2026-04-25
Maintainerqwp4w3hyb
Model Typemixtral
Model Files  17.3 GB   22.5 GB   28.4 GB   32.2 GB   38.4 GB
GGUF QuantizationYes
Quantization Typegguf|q2|q4_k|q5_k
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.0.dev0
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than qwp4w3hyb/Cerebrum-1.0-8x7b-GGUF.

Rank the Cerebrum 1.0 8x7b GGUF Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Text Summarization and Feature Extraction  
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