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Phi 3 Mini 16bit GameStory by frikh-said

 »  All LLMs  »  frikh-said  »  Phi 3 Mini 16bit GameStory   URL Share it on

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  16bit   Autotrain compatible Base model:finetune:haitamelaf... Base model:haitamelaframe/phi3...   Conversational   En   Endpoints compatible   Mistral   Pytorch   Quantized   Region:us   Sft   Sharded   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/frikh-said/Phi-3-mini_16bit-GameStory 

Phi 3 Mini 16bit GameStory Benchmarks

LLME Score: 0.19129
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 16bit GameStory (frikh-said/Phi-3-mini_16bit-GameStory)

Phi 3 Mini 16bit GameStory Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, mistral, trl, sft
Training Details 
Methodology:
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library
LLM NamePhi 3 Mini 16bit GameStory
Repository 🤗https://huggingface.co/frikh-said/Phi-3-mini_16bit-GameStory 
Base Model(s)  HaitameLaf/Phi3-Game16bit   HaitameLaf/Phi3-Game16bit
Required VRAM7.6 GB
Updated2025-02-22
Maintainerfrikh-said
Model Typemistral
Model Files  5.0 GB: 1-of-2   2.6 GB: 2-of-2
Supported Languagesen
Quantization Type16bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.41.0
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
Vocabulary Size32064
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than frikh-said/Phi-3-mini_16bit-GameStory.

Rank the Phi 3 Mini 16bit 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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