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Zephyr Wizard Kuno Royale BF16 Merge 7B by grimjim

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  Merged Model   Autotrain compatible Base model:core-3/kuno-royale-... Base model:grimjim/zephyr-beta...   Conversational   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/grimjim/zephyr-wizard-kuno-royale-BF16-merge-7B 

Zephyr Wizard Kuno Royale BF16 Merge 7B Benchmarks

ARC: 68.77 vs 96.7 (so35)-28.9%
HellaSwag: 86.9 vs 95.3 (gpt4)-8.8%
MMLU: 64.86 vs 88.3 (so35)-26.5%
TruthfulQA: 65.55 vs 59 (gpt4)11.1%
WinoGrande: 80.03 vs 87.5 (gpt4)-8.5%
GSM8K: 63.31 vs 96.4 (so35)-34.3%
LLME Score: 0.20127
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Zephyr Wizard Kuno Royale BF16 Merge 7B (grimjim/zephyr-wizard-kuno-royale-BF16-merge-7B)

Zephyr Wizard Kuno Royale BF16 Merge 7B Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model was experimentally merged using MergeKit with full weights available at the provided link. It uses the SLERP merge method and combines layers from Zephyr Beta WizardLM 2 and Kuno Royale V2.
LLM NameZephyr Wizard Kuno Royale BF16 Merge 7B
Repository 🤗https://huggingface.co/grimjim/zephyr-wizard-kuno-royale-BF16-merge-7B 
Base Model(s)  ...ephyr Beta WizardLM 2 Merge 7B   Kuno Royale V2 7B   grimjim/zephyr-beta-wizardLM-2-merge-7B   core-3/kuno-royale-v2-7b
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2024-12-22
Maintainergrimjim
Model Typemistral
Model Files  5.9 GB: 1-of-3   6.0 GB: 2-of-3   2.6 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.39.3
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 grimjim/zephyr-wizard-kuno-royale-BF16-merge-7B.

Rank the Zephyr Wizard Kuno Royale BF16 Merge 7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Release v20241217
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