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Bophades Mistral Math DPO 7B by nbeerbower

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Bophades Mistral Math DPO 7B is an open-source language model by nbeerbower. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, HF Score: 76.5, LLM Explorer Score: 0.13, Arc: 73, HellaSwag: 89, MMLU: 64.6, TruthfulQA: 77.5, WinoGrande: 85.6, GSM8K: 69.5.

  Autotrain compatible Base model:finetune:nbeerbower... Base model:nbeerbower/bophades...   Dataset:kyujinpy/orca math dpo   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nbeerbower/bophades-mistral-math-DPO-7B 

Bophades Mistral Math DPO 7B Benchmarks

ARC: 72.95 vs 96.7 (so35)-24.6%
HellaSwag: 89.03 vs 95.3 (gpt4)-6.6%
MMLU: 64.62 vs 88.3 (so35)-26.8%
TruthfulQA: 77.5 vs 59 (gpt4)31.4%
WinoGrande: 85.56 vs 87.5 (gpt4)-2.2%
GSM8K: 69.45 vs 96.4 (so35)-28%
LLME Score: 0.13117
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bophades Mistral Math DPO 7B (nbeerbower/bophades-mistral-math-DPO-7B)
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Bophades Mistral Math DPO 7B Parameters and Internals

Model Type 
text generation
Use Cases 
Primary Use Cases:
Research and experimentation in text generation
Additional Notes 
Fine-tuned model for math-specific tasks using the Orca Math DPO dataset.
Training Details 
Data Sources:
kyujinpy/orca_math_dpo
Methodology:
Fine-tuned using Direct Preference Optimization (DPO)
Hardware Used:
A100 on Google Colab
Model Architecture:
LoRA with target modules k_proj, gate_proj, v_proj, up_proj, q_proj, o_proj, down_proj
LLM NameBophades Mistral Math DPO 7B
Repository 🤗https://huggingface.co/nbeerbower/bophades-mistral-math-DPO-7B 
Base Model(s)  Bophades V2 Mistral 7B   nbeerbower/bophades-v2-mistral-7B
Model Size7b
Required VRAM14.4 GB
Updated2025-10-08
Maintainernbeerbower
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than nbeerbower/bophades-mistral-math-DPO-7B.

Rank the Bophades Mistral Math DPO 7B 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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