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Candle Dolphin 2.2.1 Mistral 7B by DanielClough

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  Autotrain compatible Dataset:ehartford/dolphin-2.2....   En   Endpoints compatible   Gguf   Mistral   Q4   Quantized   Region:us   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/DanielClough/Candle_dolphin-2.2.1-mistral-7b 

Candle Dolphin 2.2.1 Mistral 7B Benchmarks

ARC: 88.2 vs 96.7 (so35)-8.8%
HellaSwag: 79.7 vs 95.3 (gpt4)-16.4%
MMLU: 62.9 vs 88.3 (so35)-28.8%
TruthfulQA: 53.14 vs 59 (gpt4)-9.9%
WinoGrande: 78.61 vs 87.5 (gpt4)-10.2%
GSM8K: 61.9 vs 96.4 (so35)-35.8%
OpenCompas: 58 vs 73.3 (gpt4)-20.9%
Exam: 66.7 vs 77.2 (gpt4)-13.6%
Language: 39.8 vs 62 (gpt4)-35.8%
Knowledge: 58.4 vs 73.5 (gpt4)-20.5%
Understand: 68.7 vs 70 (gpt4)-1.9%
Reasoning: 56.8 vs 74.4 (gpt4)-23.7%
LLME Score: 0.19054
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Candle Dolphin 2.2.1 Mistral 7B (DanielClough/Candle_dolphin-2.2.1-mistral-7b)

Candle Dolphin 2.2.1 Mistral 7B Parameters and Internals

Model Type 
text-generation
Additional Notes 
This repo includes `.gguf` built for HuggingFace/Candle and will not work with `llama.cpp`.
Supported Languages 
en (native)
LLM NameCandle Dolphin 2.2.1 Mistral 7B
Repository 🤗https://huggingface.co/DanielClough/Candle_dolphin-2.2.1-mistral-7b 
Base Model(s)  wasertech/assistant-dolphin-2.2.1-mistral-7b-e1-qlora   wasertech/assistant-dolphin-2.2.1-mistral-7b-e1-qlora
Model Size7b
Required VRAM14.4 GB
Updated2024-12-14
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   9.9 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesen
GGUF QuantizationYes
Quantization Typeq4|gguf
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.1
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_dolphin-2.2.1-mistral-7b.

Rank the Candle Dolphin 2.2.1 Mistral 7B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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