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Qllamaredq by Daemontatox

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  4bit Base model:quantized:unsloth/l... Base model:unsloth/llama-3-8b-...   Conversational   En   Endpoints compatible   Gguf   Instruct   Llama   Quantized   Region:us   Unsloth
Model Card on HF 🤗: https://huggingface.co/Daemontatox/qllamaredq 

Qllamaredq Benchmarks

LLME Score: 0.20668
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qllamaredq (Daemontatox/qllamaredq)

Qllamaredq Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, llama, gguf
Additional Notes 
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
LLM NameQllamaredq
Repository 🤗https://huggingface.co/Daemontatox/qllamaredq 
Base Model(s)  Llama 3 8B Instruct Bnb 4bit   unsloth/llama-3-8b-Instruct-bnb-4bit
Model Size8b
Required VRAM4.9 GB
Updated2024-12-03
MaintainerDaemontatox
Model Typellama
Instruction-BasedYes
Model Files  16.1 GB   4.9 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|4bit
Model ArchitectureAutoModel
Licenseapache-2.0

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

Rank the Qllamaredq 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 v20241217
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