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Phi 3 Mini 4K Instruct Bnb 4bit by unsloth

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Phi 3 Mini 4K Instruct Bnb 4bit is an open-source language model by unsloth. Features: 3.9b LLM, VRAM: 2.3GB, Context: 4K, License: mit, Quantized, Instruction-Based, LLM Explorer Score: 0.24.

  4-bit   4bit   Bitsandbytes   Conversational   En   Endpoints compatible   Instruct   Mistral   Phi   Phi3   Quantized   Region:us   Safetensors   Unsloth
Model Card on HF 🤗: https://huggingface.co/unsloth/Phi-3-mini-4k-instruct-bnb-4bit 

Phi 3 Mini 4K Instruct Bnb 4bit Benchmarks

MMLU Pro: 28.63
GPQA: 5.48
MUSR: 9.22
BBH: 28.45
IFEval: 24.09 vs 88 (so35)-72.6%
MATH Lvl 5: 9.52
LLME Score: 0.24241
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 Bnb 4bit (unsloth/Phi-3-mini-4k-instruct-bnb-4bit)
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Phi 3 Mini 4K Instruct Bnb 4bit Parameters and Internals

Model Type 
text generation, multimodal
Use Cases 
Areas:
research, commercial applications
Applications:
language generation, chat models
Primary Use Cases:
ShareGPT ChatML, Vicuna templates
Limitations:
unsuitable for non-text inputs
Additional Notes 
Using Unsloth for fine-tuning models like Phi-3.5 enhances performance by reducing memory usage by 50% and finetuning 2x faster.
Training Details 
Methodology:
fine-tuning
Hardware Used:
Colab Tesla T4, Kaggle 2x T4s
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
generated text
LLM NamePhi 3 Mini 4K Instruct Bnb 4bit
Repository 🤗https://huggingface.co/unsloth/Phi-3-mini-4k-instruct-bnb-4bit 
Model Size3.9b
Required VRAM2.3 GB
Updated2026-04-22
Maintainerunsloth
Model Typemistral
Instruction-BasedYes
Model Files  2.3 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.44.2
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
Vocabulary Size32064
Torch Data Typebfloat16

Quantized Models of the Phi 3 Mini 4K Instruct Bnb 4bit

Model
Likes
Downloads
VRAM
...ct Bnb 4bit 16 4 100 1 Nonmath1347 GB
...ent V56 3 W Unknown 5 Lr 0.002067 GB
Phi 3 Mini 4K Python12477 GB
... Mini 4K Instruct Bnb 4bit Ita011817 GB
...Word Problems 200K Model 16bit038797 GB
... Mini 4K Instruct Bnb 4bit Ita012317 GB
Phired0127 GB
...rser User V9b Epoch 7 Lr 0.002057 GB
... 4K Instruct Matter 0.1 Slim A287 GB
...100 Percent Low Med Perplexity057 GB

Best Alternatives to Phi 3 Mini 4K Instruct Bnb 4bit

Best Alternatives
Context / RAM
Downloads
Likes
...3 Mini 4K Instruct V0 Bnb 4bit4K / 2.3 GB43
...Spydaz Web AI ChatQA 002 4 BIT512K / 4.1 GB240
Spydaz Web AI 02 4 BIT32K / 4.1 GB280
...pydaz Web AI ChatQA BASE 4 BIT32K / 4.1 GB180
...3 Mini 4K Instruct Ita Orpo V24K / 2.3 GB100

Rank the Phi 3 Mini 4K Instruct Bnb 4bit 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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