Model 16bit Phi 3 Mini by akshayjambhulkar

 ยป  All LLMs  ยป  akshayjambhulkar  ยป  Model 16bit Phi 3 Mini   URL Share it on

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

Model 16bit Phi 3 Mini Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Model 16bit Phi 3 Mini (akshayjambhulkar/model_16bit-phi-3-mini)

Model 16bit Phi 3 Mini Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameModel 16bit Phi 3 Mini
Repository ๐Ÿค—https://huggingface.co/akshayjambhulkar/model_16bit-phi-3-mini 
Base Model(s)  ...hi 3 Mini 4K Instruct Bnb 4bit   unsloth/Phi-3-mini-4k-instruct-bnb-4bit
Required VRAM7.6 GB
Updated2025-02-22
Maintainerakshayjambhulkar
Model Typemistral
Instruction-BasedYes
Model Files  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 Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
Vocabulary Size32064
Torch Data Typefloat16

Best Alternatives to Model 16bit Phi 3 Mini

Best Alternatives
Context / RAM
Downloads
Likes
...eZephir Sft Instruct Ead 16bit32K / 14.4 GB560
... Instruct Unsloth Merged 16bit4K / 7.6 GB61
... Mini 4K Instruct Bnb 4bit Ita4K / 7.6 GB27780
Phi3 History V24K / 7.6 GB820
Phired4K / 7.6 GB120
...ini New Model With Lora Merged4K / 7.6 GB50
Phi 3 Mini Hospital Topic 504K / 7.6 GB90
MediChat Revision4K / 7.6 GB790
Model4K / 7.6 GB50
MainPHI34K / 7.6 GB50
Note: green Score (e.g. "73.2") means that the model is better than akshayjambhulkar/model_16bit-phi-3-mini.

Rank the Model 16bit Phi 3 Mini Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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  

What open-source LLMs or SLMs are you in search of? 43470 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227