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HeroBophades 2x7B by nbeerbower

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  Autotrain compatible Base model:finetune:nbeerbower... Base model:nbeerbower/bophades... Dataset:jondurbin/truthy-dpo-v...   Dataset:kyujinpy/orca math dpo   Endpoints compatible   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nbeerbower/HeroBophades-2x7B 

HeroBophades 2x7B Benchmarks

ARC: 73.12 vs 96.7 (so35)-24.4%
HellaSwag: 89.12 vs 95.3 (gpt4)-6.5%
MMLU: 64.66 vs 88.3 (so35)-26.8%
TruthfulQA: 77.87 vs 59 (gpt4)32%
WinoGrande: 85.24 vs 87.5 (gpt4)-2.6%
GSM8K: 69.37 vs 96.4 (so35)-28%
LLME Score: 0.15219
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
HeroBophades 2x7B (nbeerbower/HeroBophades-2x7B)
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HeroBophades 2x7B Parameters and Internals

Model Type 
Mixture of Experts, LLM
Additional Notes 
This model utilizes a gate_mode of 'hidden' and dtype of 'bfloat16'.
Training Details 
Data Sources:
jondurbin/truthy-dpo-v0.1, kyujinpy/orca_math_dpo
Model Architecture:
Experimental Mixture of Experts LLM built with mergekit
LLM NameHeroBophades 2x7B
Repository 🤗https://huggingface.co/nbeerbower/HeroBophades-2x7B 
Base Model(s)  Bophades Mistral Truthy DPO 7B   Bophades Mistral Math DPO 7B   nbeerbower/bophades-mistral-truthy-DPO-7B   nbeerbower/bophades-mistral-math-DPO-7B
Model Size12.9b
Required VRAM25.8 GB
Updated2025-09-23
Maintainernbeerbower
Model Typemixtral
Model Files  10.0 GB: 1-of-3   9.9 GB: 2-of-3   5.9 GB: 3-of-3
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.1
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 nbeerbower/HeroBophades-2x7B.

Rank the HeroBophades 2x7B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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