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Dre Phi Gguf by empgces

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  4bit Base model:quantized:unsloth/p... Base model:unsloth/phi-3-mini-...   Conversational   En   Endpoints compatible   Gguf   Instruct   Mistral   Quantized   Region:us   Unsloth

Dre Phi Gguf Benchmarks

LLME Score: 0.21241
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Dre Phi Gguf Parameters and Internals

Model Type 
transformers, text-generation-inference, mistral
Additional Notes 
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
Training Details 
Methodology:
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameDre Phi Gguf
Repository 🤗https://huggingface.co/empgces/dre_phi_gguf 
Base Model(s)  ...hi 3 Mini 4K Instruct Bnb 4bit   unsloth/Phi-3-mini-4k-instruct-bnb-4bit
Required VRAM2.3 GB
Updated2024-11-21
Maintainerempgces
Model Typemistral
Instruction-BasedYes
Model Files  7.6 GB   2.3 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|4bit
Model ArchitectureAutoModel
Licenseapache-2.0
Dre Phi Gguf (empgces/dre_phi_gguf)

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...i 3 Mini 4K Instruct V0.3 GGUF0K / 1.4 GB2275
Phi 3 Mini 4K Instruct0K / 2.3 GB250
Dolphin 2 6 Phi 2 GGUF0K / 1.2 GB613770
...i 3 Mini 4K Instruct V0.2 GGUF0K / 1.4 GB1462
Note: green Score (e.g. "73.2") means that the model is better than empgces/dre_phi_gguf.

Rank the Dre Phi Gguf 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 v20241110
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