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Candle Nous Hermes 2 Mistral 7B DPO by DanielClough

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Candle Nous Hermes 2 Mistral 7B DPO is an open-source language model by DanielClough. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Quantized, HF Score: 68.1, LLM Explorer Score: 0.14, Arc: 66, HellaSwag: 85, MMLU: 63.4, TruthfulQA: 55.8, WinoGrande: 78.1, GSM8K: 60.4.

  Conversational   Endpoints compatible   Gguf   Mistral   Q4   Quantized   Region:us   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/DanielClough/Candle_Nous-Hermes-2-Mistral-7B-DPO 

Candle Nous Hermes 2 Mistral 7B DPO Benchmarks

ARC: 66.04 vs 96.7 (so35)-31.7%
HellaSwag: 84.95 vs 95.3 (gpt4)-10.9%
MMLU: 63.36 vs 88.3 (so35)-28.2%
TruthfulQA: 55.75 vs 59 (gpt4)-5.5%
WinoGrande: 78.06 vs 87.5 (gpt4)-10.8%
GSM8K: 60.42 vs 96.4 (so35)-37.3%
LLME Score: 0.13837
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Candle Nous Hermes 2 Mistral 7B DPO (DanielClough/Candle_Nous-Hermes-2-Mistral-7B-DPO)
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Candle Nous Hermes 2 Mistral 7B DPO Parameters and Internals

LLM NameCandle Nous Hermes 2 Mistral 7B DPO
Repository 🤗https://huggingface.co/DanielClough/Candle_Nous-Hermes-2-Mistral-7B-DPO 
Base Model(s)  Nous Hermes 2 Mistral 7B DPO   NousResearch/Nous-Hermes-2-Mistral-7B-DPO
Model Size7b
Required VRAM14.4 GB
Updated2026-03-30
MaintainerDanielClough
Model Typemistral
Model Files  14.5 GB   2.4 GB   3.1 GB   4.1 GB   4.5 GB   4.1 GB   5.0 GB   5.4 GB   5.0 GB   5.9 GB   7.7 GB   8.2 GB   8.3 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
GGUF QuantizationYes
Quantization Typeq4|gguf
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than DanielClough/Candle_Nous-Hermes-2-Mistral-7B-DPO.

Rank the Candle Nous Hermes 2 Mistral 7B DPO 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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