Phi 3 Mini 128K Instruct 4bit 64rank by LoftQ

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  Arxiv:2310.08659   4-bit   4bit   Autotrain compatible   Bitsandbytes   Conversational   Custom code   En   Endpoints compatible   Instruct   Lora   Phi3   Quantization   Quantized   Region:us   Safetensors

Phi 3 Mini 128K Instruct 4bit 64rank 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 128K Instruct 4bit 64rank (LoftQ/Phi-3-mini-128k-instruct-4bit-64rank)

Phi 3 Mini 128K Instruct 4bit 64rank Parameters and Internals

Model Type 
text-generation
Additional Notes 
Model supports LoRA fine-tuning with adapters and quantized backbone.
Supported Languages 
en (proficient)
LLM NamePhi 3 Mini 128K Instruct 4bit 64rank
Repository ๐Ÿค—https://huggingface.co/LoftQ/Phi-3-mini-128k-instruct-4bit-64rank 
Model Size2.1b
Required VRAM2.4 GB
Updated2024-12-22
MaintainerLoftQ
Model Typephi3
Instruction-BasedYes
Model Files  2.4 GB
Supported Languagesen
Quantization Type4bit
Model ArchitecturePhi3ForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
LoRA ModelYes
Torch Data Typebfloat16

Quantized Models of the Phi 3 Mini 128K Instruct 4bit 64rank

Model
Likes
Downloads
VRAM
NaturalLanguagePioneersSTEMExp050 GB

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Note: green Score (e.g. "73.2") means that the model is better than LoftQ/Phi-3-mini-128k-instruct-4bit-64rank.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217