QwenDq by Ammartatox

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Base model:cognitivecomputatio... Base model:quantized:cognitive...   Conversational   En   Endpoints compatible   Gguf   Quantized   Qwen2   Region:us   Unsloth
Model Card on HF ๐Ÿค—: https://huggingface.co/Daemontatox/QwenDq 

QwenDq Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
QwenDq (Daemontatox/QwenDq)

QwenDq Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, qwen2, gguf
Supported Languages 
en (yes)
Training Details 
Methodology:
This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameQwenDq
Repository ๐Ÿค—https://huggingface.co/Daemontatox/QwenDq 
Base Model(s)  cognitivecomputations/dolphin-2.9.2-qwen2-7b   cognitivecomputations/dolphin-2.9.2-qwen2-7b
Model Size7b
Required VRAM4.7 GB
Updated2024-12-03
MaintainerAmmartatox
Model Typeqwen2
Model Files  15.2 GB   4.7 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/QwenDq.

Rank the QwenDq Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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 v20241227