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Cerebrum 1.0 7B by AetherResearch

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  Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Cerebrum 1.0 7B Benchmarks

ARC: 61.6 vs 96.7 (so35)-36.3%
HellaSwag: 84.56 vs 95.3 (gpt4)-11.3%
MMLU: 63.56 vs 88.3 (so35)-28%
TruthfulQA: 46.49 vs 59 (gpt4)-21.2%
WinoGrande: 79.4 vs 87.5 (gpt4)-9.3%
GSM8K: 40.18 vs 96.4 (so35)-58.3%
LLME Score: 0.21788
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 7B Parameters and Internals

LLM NameCerebrum 1.0 7B
Repository 🤗https://huggingface.co/AetherResearch/Cerebrum-1.0-7b 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM14.4 GB
Updated2024-11-21
MaintainerAetherResearch
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
Cerebrum 1.0 7B (AetherResearch/Cerebrum-1.0-7b)

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Note: green Score (e.g. "73.2") means that the model is better than AetherResearch/Cerebrum-1.0-7b.

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Release v20241110
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