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TheTop 5x7B Instruct P V0.1 by MaziyarPanahi

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TheTop 5x7B Instruct P V0.1 is an open-source language model by MaziyarPanahi. Features: 14.2b LLM, VRAM: 28.6GB, Context: 32K, License: apache-2.0, MoE, Instruction-Based, HF Score: 46, LLM Explorer Score: 0.15, Arc: 38.6, HellaSwag: 51.5, MMLU: 63.4, TruthfulQA: 50.1, WinoGrande: 72.6.

  Endpoints compatible   Instruct   Merge   Mistral   Model-index   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/TheTop-5x7B-Instruct-P-v0.1 

TheTop 5x7B Instruct P V0.1 Benchmarks

ARC: 38.57 vs 96.7 (so35)-60.1%
HellaSwag: 51.54 vs 95.3 (gpt4)-45.9%
MMLU: 63.36 vs 88.3 (so35)-28.2%
TruthfulQA: 50.07 vs 59 (gpt4)-15.1%
WinoGrande: 72.61 vs 87.5 (gpt4)-17%
LLME Score: 0.1534
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
TheTop 5x7B Instruct P V0.1 (MaziyarPanahi/TheTop-5x7B-Instruct-P-v0.1)
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TheTop 5x7B Instruct P V0.1 Parameters and Internals

Model Type 
text-generation
Additional Notes 
Merge of top 7B models using the PASS method with support from mergekit for merging pre-trained language models.
LLM NameTheTop 5x7B Instruct P V0.1
Repository 🤗https://huggingface.co/MaziyarPanahi/TheTop-5x7B-Instruct-P-v0.1 
Model Size14.2b
Required VRAM28.6 GB
Updated2026-03-31
MaintainerMaziyarPanahi
Model Typemistral
Instruction-BasedYes
Model Files  4.0 GB: 1-of-8   4.0 GB: 2-of-8   4.0 GB: 3-of-8   4.0 GB: 4-of-8   4.0 GB: 5-of-8   3.9 GB: 6-of-8   4.0 GB: 7-of-8   0.7 GB: 8-of-8
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the TheTop 5x7B Instruct P V0.1

Model
Likes
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VRAM
...eTop 5x7B Instruct P V0.1 GGUF0405 GB

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Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/TheTop-5x7B-Instruct-P-v0.1.

Rank the TheTop 5x7B Instruct P V0.1 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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