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Neuralcoven 7B Slerp by allknowingroger

 »  All LLMs  »  allknowingroger  »  Neuralcoven 7B Slerp   URL Share it on

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  Merged Model Allknowingroger/neurallaymons-...   Autotrain compatible Base model:allknowingroger/neu... Base model:raidhon/coven 7b 12...   Endpoints compatible   Mistral   Model-index Raidhon/coven 7b 128k orpo alp...   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/allknowingroger/Neuralcoven-7B-slerp 

Neuralcoven 7B Slerp Benchmarks

MMLU Pro: 25.49
GPQA: 4.7
MUSR: 11.76
BBH: 33.8
IFEval: 38.59 vs 88 (so35)-56.1%
ARC: 69.88 vs 96.7 (so35)-27.7%
HellaSwag: 86.78 vs 95.3 (gpt4)-8.9%
MMLU: 65.66 vs 88.3 (so35)-25.6%
TruthfulQA: 63.59 vs 59 (gpt4)7.8%
WinoGrande: 81.77 vs 87.5 (gpt4)-6.5%
GSM8K: 69.9 vs 96.4 (so35)-27.5%
MATH Lvl 5: 7.93
LLME Score: 0.25416
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Neuralcoven 7B Slerp (allknowingroger/Neuralcoven-7B-slerp)

Neuralcoven 7B Slerp Parameters and Internals

Model Type 
text generation
Additional Notes 
Neuralcoven-7B-slerp is created by merging models using LazyMergekit.
Training Details 
Methodology:
LazyMergekit
LLM NameNeuralcoven 7B Slerp
Repository 🤗https://huggingface.co/allknowingroger/Neuralcoven-7B-slerp 
Base Model(s)  Neurallaymons 7B Slerp   Coven 7b 128k Orpo Alpha   allknowingroger/Neurallaymons-7B-slerp   raidhon/coven_7b_128k_orpo_alpha
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2025-02-05
Maintainerallknowingroger
Model Typemistral
Model Files  1.0 GB: 1-of-15   1.0 GB: 2-of-15   1.0 GB: 3-of-15   1.0 GB: 4-of-15   0.9 GB: 5-of-15   1.0 GB: 6-of-15   1.0 GB: 7-of-15   1.0 GB: 8-of-15   0.9 GB: 9-of-15   1.0 GB: 10-of-15   1.0 GB: 11-of-15   1.0 GB: 12-of-15   0.9 GB: 13-of-15   1.0 GB: 14-of-15   0.8 GB: 15-of-15
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than allknowingroger/Neuralcoven-7B-slerp.

Rank the Neuralcoven 7B Slerp Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241227
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