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Deepseekq by Ammartatox

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Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-...   En   Endpoints compatible   Gguf   Llama   Quantized   Region:us   Unsloth
Model Card on HF 🤗: https://huggingface.co/Daemontatox/Deepseekq 

Deepseekq Benchmarks

ARC: 42.5 vs 96.7 (so35)-56%
HellaSwag: 56.1 vs 95.3 (gpt4)-41.1%
MMLU: 44 vs 88.3 (so35)-50.2%
TruthfulQA: 47.92 vs 59 (gpt4)-18.8%
WinoGrande: 74.9 vs 87.5 (gpt4)-14.4%
GSM8K: 55.6 vs 96.4 (so35)-42.3%
OpenCompas: 37.1 vs 73.3 (gpt4)-49.4%
Exam: 37.8 vs 77.2 (gpt4)-51%
Language: 22.2 vs 62 (gpt4)-64.2%
Knowledge: 40 vs 73.5 (gpt4)-45.6%
Understand: 31.7 vs 70 (gpt4)-54.7%
Reasoning: 42.2 vs 74.4 (gpt4)-43.3%
LLME Score: 0.23279
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Deepseekq (Daemontatox/Deepseekq)

Deepseekq Parameters and Internals

LLM NameDeepseekq
Repository 🤗https://huggingface.co/Daemontatox/Deepseekq 
Base Model(s)  Deepseek Llm 7B Chat   deepseek-ai/deepseek-llm-7b-chat
Model Size7b
Required VRAM4.2 GB
Updated2024-08-11
MaintainerAmmartatox
Model Typellama
Model Files  13.8 GB   4.2 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than Daemontatox/Deepseekq.

Rank the Deepseekq 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 v20241217
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