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Slim Qa Gen Phi 3 by llmware

 »  All LLMs  »  llmware  »  Slim Qa Gen Phi 3   URL Share it on

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  Autotrain compatible   Conversational   Custom code   Instruct   Phi3   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/llmware/slim-qa-gen-phi-3 

Slim Qa Gen Phi 3 Benchmarks

LLME Score: 0.18852
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Slim Qa Gen Phi 3 (llmware/slim-qa-gen-phi-3)

Slim Qa Gen Phi 3 Parameters and Internals

Model Type 
question and answer generation
Additional Notes 
Model is finetuned on top of phi-3-mini-4k-instruct and designed for function-calling question and answer generation from a context passage.
Input Output 
Input Format:
{'question, answer', 'boolean', or 'multiple choice'}
Output Format:
python dictionary
Performance Tips:
Use the 'quantized tool' version for fast inference
LLM NameSlim Qa Gen Phi 3
Repository 🤗https://huggingface.co/llmware/slim-qa-gen-phi-3 
Required VRAM7.6 GB
Updated2025-02-22
Maintainerllmware
Model Typephi3
Instruction-BasedYes
Model Files  7.6 GB
Model ArchitecturePhi3ForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.38.1
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than llmware/slim-qa-gen-phi-3.

Rank the Slim Qa Gen Phi 3 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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Release v20241227
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