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Phi 3 Mini 4K Instruct by AlekseyElygin

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  4bit   Conversational   En   Endpoints compatible   Gguf   Instruct   Mistral   Quantized   Region:us   Unsloth
Model Card on HF 🤗: https://huggingface.co/AlekseyElygin/Phi-3-mini-4k-instruct 

Phi 3 Mini 4K Instruct Benchmarks

LLME Score: 0.2072
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 4K Instruct (AlekseyElygin/Phi-3-mini-4k-instruct)

Phi 3 Mini 4K Instruct Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, mistral, gguf
Supported Languages 
en (high)
Training Details 
Methodology:
Trained using Unsloth and Huggingface's TRL library
Training Time:
2x faster training achieved with Unsloth
Model Architecture:
mistral
LLM NamePhi 3 Mini 4K Instruct
Repository 🤗https://huggingface.co/AlekseyElygin/Phi-3-mini-4k-instruct 
Base Model(s)  unsloth/phi-3-mini-4k-instruct-bnb-4bit   unsloth/phi-3-mini-4k-instruct-bnb-4bit
Required VRAM2.3 GB
Updated2024-12-22
MaintainerAlekseyElygin
Model Typemistral
Instruction-BasedYes
Model Files  7.6 GB   2.3 GB   4.1 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|4bit
Model ArchitectureAutoModel
Licenseapache-2.0

Best Alternatives to Phi 3 Mini 4K Instruct

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...ixtral 8x7B Instruct V0.1 GGUF0K / 15.6 GB65160606
Dolphin 2.5 Mixtral 8x7b GGUF0K / 15.6 GB16865299
Dolphin 2.7 Mixtral 8x7b GGUF0K / 15.6 GB8066135
Phi 3 Mini 4K Instruct GGUF0K / 1.4 GB151716
Spydaz Web AI 0K / 4.4 GB1023
...i 3 Mini 4K Instruct V0.3 GGUF0K / 1.4 GB2275
...i 3 Mini 4K Instruct V0.2 GGUF0K / 1.4 GB1462
Dre Phi Gguf0K / 2.3 GB170
...i 3 Mini 4K Instruct V0.1 GGUF0K / 1.4 GB1321
Autocomplete Model0K / 4.1 GB70
Note: green Score (e.g. "73.2") means that the model is better than AlekseyElygin/Phi-3-mini-4k-instruct.

Rank the Phi 3 Mini 4K Instruct 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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