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Phi 3 Mini GGUF GameStory by frikh-said

 »  All LLMs  »  frikh-said  »  Phi 3 Mini GGUF GameStory   URL Share it on

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Base model:haitamelaframe/phi3... Base model:quantized:haitamela...   Conversational   En   Endpoints compatible   Gguf   Mistral   Quantized   Region:us   Unsloth
Model Card on HF 🤗: https://huggingface.co/frikh-said/Phi-3-mini_GGUF-GameStory 

Phi 3 Mini GGUF GameStory Benchmarks

LLME Score: 0.18815
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 3 Mini GGUF GameStory (frikh-said/Phi-3-mini_GGUF-GameStory)

Phi 3 Mini GGUF GameStory Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, mistral, gguf
Additional Notes 
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
LLM NamePhi 3 Mini GGUF GameStory
Repository 🤗https://huggingface.co/frikh-said/Phi-3-mini_GGUF-GameStory 
Base Model(s)  HaitameLaf/Phi3-Game16bit   HaitameLaf/Phi3-Game16bit
Required VRAM4.1 GB
Updated2025-02-22
Maintainerfrikh-said
Model Typemistral
Model Files  4.1 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 frikh-said/Phi-3-mini_GGUF-GameStory.

Rank the Phi 3 Mini GGUF GameStory 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 v20241227
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