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NeuralKrishna 7B V3 by Kukedlc

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  Merged Model   Autotrain compatible Base model:kukedlc/fasciculus-... Base model:kukedlc/neural4gsm8... Base model:kukedlc/neuralglitc...   Endpoints compatible Kukedlc/fasciculus-arcuatus-7b...   Kukedlc/neural4gsm8k Kukedlc/neuralglitch-yam-peleg...   Mistral   Region:us   Safetensors   Sharded   Tensorflow

NeuralKrishna 7B V3 Benchmarks

ARC: 73.63 vs 96.7 (so35)-23.9%
HellaSwag: 88.91 vs 95.3 (gpt4)-6.7%
MMLU: 64.45 vs 88.3 (so35)-27%
TruthfulQA: 74.11 vs 59 (gpt4)25.6%
WinoGrande: 84.69 vs 87.5 (gpt4)-3.2%
GSM8K: 70.96 vs 96.4 (so35)-26.4%
LLME Score: 0.19911
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

NeuralKrishna 7B V3 Parameters and Internals

LLM NameNeuralKrishna 7B V3
Repository 🤗https://huggingface.co/Kukedlc/NeuralKrishna-7B-v3 
Base Model(s)  Kukedlc/NeuralGlitch-Yam-Peleg-7B-DT   Fasciculus Arcuatus 7B Slerp   Neural4gsm8k   Kukedlc/NeuralGlitch-Yam-Peleg-7B-DT   Kukedlc/Fasciculus-Arcuatus-7B-slerp   Kukedlc/Neural4gsm8k
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2024-10-18
MaintainerKukedlc
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 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
NeuralKrishna 7B V3 (Kukedlc/NeuralKrishna-7B-v3)

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

Rank the NeuralKrishna 7B V3 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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