Phi 3 Mini 4K Instruct Matter 0.1 Slim A by munish0838

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  4bit   Autotrain compatible Base model:finetune:unsloth/ph... Base model:unsloth/phi-3-mini-...   Conversational   En   Endpoints compatible   Instruct   Mistral   Pytorch   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth

Phi 3 Mini 4K Instruct Matter 0.1 Slim A Benchmarks

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 Matter 0.1 Slim A Parameters and Internals

LLM NamePhi 3 Mini 4K Instruct Matter 0.1 Slim A
Repository ๐Ÿค—https://huggingface.co/munish0838/Phi-3-mini-4k-instruct-Matter-0.1-Slim-A 
Base Model(s)  ...hi 3 Mini 4K Instruct Bnb 4bit   unsloth/Phi-3-mini-4k-instruct-bnb-4bit
Model Size3.8b
Required VRAM7.6 GB
Updated2024-09-07
Maintainermunish0838
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.6 GB: 2-of-2   5.0 GB: 1-of-2   2.6 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
Vocabulary Size32064
Torch Data Typefloat16
Phi 3 Mini 4K Instruct Matter 0.1 Slim A (munish0838/Phi-3-mini-4k-instruct-Matter-0.1-Slim-A)

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Note: green Score (e.g. "73.2") means that the model is better than munish0838/Phi-3-mini-4k-instruct-Matter-0.1-Slim-A.

Rank the Phi 3 Mini 4K Instruct Matter 0.1 Slim A Capabilities

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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 v2024072803