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MergeCeption 7B V3 by CultriX

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  Merged Model   Autotrain compatible Base model:cultrix/neuraltrix-... Base model:kukedlc/neuralmaxim...   Base model:mlabonne/monarch-7b   Cultrix/neuraltrix-bf16   Endpoints compatible   Kukedlc/neuralmaxime-7b-slerp   Mistral   Mlabonne/monarch-7b   Region:us   Safetensors   Sharded   Tensorflow

MergeCeption 7B V3 Benchmarks

ARC: 72.95 vs 96.7 (so35)-24.6%
HellaSwag: 89.18 vs 95.3 (gpt4)-6.4%
MMLU: 64.59 vs 88.3 (so35)-26.9%
TruthfulQA: 78.62 vs 59 (gpt4)33.3%
WinoGrande: 85 vs 87.5 (gpt4)-2.9%
GSM8K: 66.57 vs 96.4 (so35)-30.9%
LLME Score: 0.21114
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

MergeCeption 7B V3 Parameters and Internals

LLM NameMergeCeption 7B V3
Repository 🤗https://huggingface.co/CultriX/MergeCeption-7B-v3 
Base Model(s)  NeuralMaxime 7B Slerp   Monarch 7B   NeuralTrix Bf16   Kukedlc/NeuralMaxime-7B-slerp   mlabonne/Monarch-7B   CultriX/NeuralTrix-bf16
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2024-09-07
MaintainerCultriX
Model Typemistral
Model Files  9.8 GB: 1-of-2   4.7 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
MergeCeption 7B V3 (CultriX/MergeCeption-7B-v3)

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Note: green Score (e.g. "73.2") means that the model is better than CultriX/MergeCeption-7B-v3.

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Release v2024072803
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