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Phi 3 Autocomplete Search by rexoscare

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Model Card on HF 🤗: https://huggingface.co/rexoscare/phi-3-autocomplete-search 

Phi 3 Autocomplete Search Benchmarks

LLME Score: 0.20624
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 3 Autocomplete Search (rexoscare/phi-3-autocomplete-search)

Phi 3 Autocomplete Search 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.
Supported Languages 
en (proficient)
LLM NamePhi 3 Autocomplete Search
Repository 🤗https://huggingface.co/rexoscare/phi-3-autocomplete-search 
Base Model(s)  unsloth/phi-3-mini-4k-instruct-bnb-4bit   unsloth/phi-3-mini-4k-instruct-bnb-4bit
Model Size2.1b
Required VRAM2.3 GB
Updated2024-12-22
Maintainerrexoscare
Model Typemistral
Instruction-BasedYes
Model Files  2.3 GB
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 Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than rexoscare/phi-3-autocomplete-search.

Rank the Phi 3 Autocomplete Search 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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