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Interview Tiny Eval by Manirajan

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  Autotrain compatible Base model:finetune:unsloth/ti...   Base model:unsloth/tinyllama   En   Endpoints compatible   Llama   Pytorch   Region:us   Safetensors   Sft   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Manirajan/interview_tiny_eval 

Interview Tiny Eval Benchmarks

LLME Score: 0.19361
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Interview Tiny Eval (Manirajan/interview_tiny_eval)

Interview Tiny Eval Parameters and Internals

Model Type 
text-generation-inference
Additional Notes 
This model was finetuned from the base model.
Training Details 
Methodology:
Trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameInterview Tiny Eval
Repository 🤗https://huggingface.co/Manirajan/interview_tiny_eval 
Base Model(s)  Tinyllama   unsloth/tinyllama
Model Size1.1b
Required VRAM2.2 GB
Updated2025-02-22
MaintainerManirajan
Model Typellama
Model Files  2.2 GB   2.2 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Manirajan/interview_tiny_eval.

Rank the Interview Tiny Eval 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 v20241227
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