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Phi 3 Mini Topic Search Queries 50 by anwesh

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  Autotrain compatible Base model:anwesh/phi-3-mini-h... Base model:finetune:anwesh/phi...   Conversational   En   Endpoints compatible   Mistral   Pytorch   Region:us   Sft   Sharded   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/anwesh/phi-3-mini-topic-search-queries-50 

Phi 3 Mini Topic Search Queries 50 Benchmarks

LLME Score: 0.19583
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 Topic Search Queries 50 (anwesh/phi-3-mini-topic-search-queries-50)

Phi 3 Mini Topic Search Queries 50 Parameters and Internals

Model Type 
text-generation-inference, transformers, mistral, trl, sft
Additional Notes 
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
LLM NamePhi 3 Mini Topic Search Queries 50
Repository 🤗https://huggingface.co/anwesh/phi-3-mini-topic-search-queries-50 
Base Model(s)  Phi 3 Mini Hospital Topic 50   anwesh/phi-3-mini-hospital-topic-50
Required VRAM7.6 GB
Updated2025-02-16
Maintaineranwesh
Model Typemistral
Model Files  5.0 GB: 1-of-2   2.6 GB: 2-of-2
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
Vocabulary Size32064
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than anwesh/phi-3-mini-topic-search-queries-50.

Rank the Phi 3 Mini Topic Search Queries 50 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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Release v20241227
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