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CognitiveFusion2 4x7B BF16 by Kquant03

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  4523   
  Arxiv:2101.03961   Autotrain compatible   En   Endpoints compatible   Merge   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Kquant03/CognitiveFusion2-4x7B-BF16 

CognitiveFusion2 4x7B BF16 Benchmarks

MMLU Pro: 19.92
GPQA: 4.81
MUSR: 9.95
BBH: 17.69
IFEval: 35.67 vs 88 (so35)-59.5%
ARC: 73.38 vs 96.7 (so35)-24.1%
HellaSwag: 89.18 vs 95.3 (gpt4)-6.4%
MMLU: 64.32 vs 88.3 (so35)-27.2%
TruthfulQA: 78.12 vs 59 (gpt4)32.4%
WinoGrande: 84.93 vs 87.5 (gpt4)-2.9%
GSM8K: 71.27 vs 96.4 (so35)-26.1%
MATH Lvl 5: 5.51
LLME Score: 0.27283
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CognitiveFusion2 4x7B BF16 (Kquant03/CognitiveFusion2-4x7B-BF16)

CognitiveFusion2 4x7B BF16 Parameters and Internals

Model Type 
MoE, Transformer
Additional Notes 
This model employs the Mixture of Experts (MoE) framework, which enables efficient pretraining and faster inference by utilizing specific experts in its network.
Supported Languages 
en (Proficient)
LLM NameCognitiveFusion2 4x7B BF16
Repository 🤗https://huggingface.co/Kquant03/CognitiveFusion2-4x7B-BF16 
Model Size24.2b
Required VRAM48.3 GB
Updated2025-01-12
MaintainerKquant03
Model Typemixtral
Model Files  9.9 GB: 1-of-5   10.0 GB: 2-of-5   10.0 GB: 3-of-5   10.0 GB: 4-of-5   8.4 GB: 5-of-5
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Kquant03/CognitiveFusion2-4x7B-BF16.

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Release v20241227
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