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Cerebrum 1.0 8x7b by AetherResearch

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Cerebrum 1.0 8x7b is an open-source language model by AetherResearch. Features: 46.7b LLM, VRAM: 93.6GB, Context: 32K, License: apache-2.0, MoE, HF Score: 70.5, LLM Explorer Score: 0.14, Arc: 68.1, HellaSwag: 87.3, MMLU: 72.5, TruthfulQA: 50.6, WinoGrande: 82.4, GSM8K: 61.9.

Base model:finetune:mistralai/... Base model:mistralai/mixtral-8...   Conversational   Endpoints compatible   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/AetherResearch/Cerebrum-1.0-8x7b 

Cerebrum 1.0 8x7b Benchmarks

ARC: 68.09 vs 96.7 (so35)-29.6%
HellaSwag: 87.3 vs 95.3 (gpt4)-8.4%
MMLU: 72.45 vs 88.3 (so35)-18%
TruthfulQA: 50.63 vs 59 (gpt4)-14.2%
WinoGrande: 82.4 vs 87.5 (gpt4)-5.8%
GSM8K: 61.94 vs 96.4 (so35)-35.7%
LLME Score: 0.13775
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 (AetherResearch/Cerebrum-1.0-8x7b)
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Cerebrum 1.0 8x7b Parameters and Internals

Model Type 
reasoning
Use Cases 
Areas:
reasoning, brainstorming, knowledge intensive, creative tasks
Primary Use Cases:
tasks that require reasoning
Training Details 
Data Sources:
native chain of thought data
Methodology:
fine-tuning on a small custom dataset and targeted RLHF
Input Output 
Input Format:
Alpaca-style template
Accepted Modalities:
text
Performance Tips:
Can be operated at very low temperatures for precise answers.
LLM NameCerebrum 1.0 8x7b
Repository 🤗https://huggingface.co/AetherResearch/Cerebrum-1.0-8x7b 
Base Model(s)  mistralai/Mixtral-8x7B-v0.1   mistralai/Mixtral-8x7B-v0.1
Model Size46.7b
Required VRAM93.6 GB
Updated2026-04-24
MaintainerAetherResearch
Model Typemixtral
Model Files  4.9 GB: 1-of-19   5.0 GB: 2-of-19   5.0 GB: 3-of-19   4.9 GB: 4-of-19   5.0 GB: 5-of-19   5.0 GB: 6-of-19   4.9 GB: 7-of-19   5.0 GB: 8-of-19   5.0 GB: 9-of-19   4.9 GB: 10-of-19   5.0 GB: 11-of-19   5.0 GB: 12-of-19   5.0 GB: 13-of-19   4.9 GB: 14-of-19   5.0 GB: 15-of-19   5.0 GB: 16-of-19   4.9 GB: 17-of-19   5.0 GB: 18-of-19   4.2 GB: 19-of-19
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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

Rank the Cerebrum 1.0 8x7b Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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