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NeuralMaxime 7B Slerp by Kukedlc

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  Merged Model   Autotrain compatible Base model:mlabonne/alphamonar... Base model:mlabonne/neuralmona...   Conversational   Endpoints compatible   Lora   Mistral   Mlabonne/alphamonarch-7b   Mlabonne/neuralmonarch-7b   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Kukedlc/NeuralMaxime-7B-slerp 

NeuralMaxime 7B Slerp Benchmarks

ARC: 73.38 vs 96.7 (so35)-24.1%
HellaSwag: 89.18 vs 95.3 (gpt4)-6.4%
MMLU: 64.44 vs 88.3 (so35)-27%
TruthfulQA: 77.79 vs 59 (gpt4)31.8%
WinoGrande: 84.45 vs 87.5 (gpt4)-3.5%
GSM8K: 67.78 vs 96.4 (so35)-29.7%
LLME Score: 0.17207
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NeuralMaxime 7B Slerp (Kukedlc/NeuralMaxime-7B-slerp)

NeuralMaxime 7B Slerp Parameters and Internals

Model Type 
text-generation
Training Details 
Methodology:
slerp merge using LazyMergekit
LLM NameNeuralMaxime 7B Slerp
Repository 🤗https://huggingface.co/Kukedlc/NeuralMaxime-7B-slerp 
Base Model(s)  AlphaMonarch 7B   NeuralMonarch 7B   mlabonne/AlphaMonarch-7B   mlabonne/NeuralMonarch-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
MaintainerKukedlc
Model Files  0.0 GB   2.0 GB: 1-of-8   1.9 GB: 2-of-8   2.0 GB: 3-of-8   2.0 GB: 4-of-8   1.9 GB: 5-of-8   1.9 GB: 6-of-8   1.9 GB: 7-of-8   0.8 GB: 8-of-8
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length8192
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesmodel.layers.31.mlp.gate_proj|model.layers.31.self_attn.o_proj|model.layers.31.mlp.up_proj|model.layers.31.self_attn.k_proj|model.layers.31.self_attn.q_proj|model.layers.31.self_attn.v_proj|model.layers.31.mlp.down_proj
LoRA Alpha32
LoRA Dropout0.05
R Param8

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

Rank the NeuralMaxime 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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