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EduMentor Qwen3 4B FP16 by PraneetNS

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EduMentor Qwen3 4B FP16 is an open-source language model by PraneetNS. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, Quantized, LLM Explorer Score: 0.27.

  Fp16   Quantized   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/PraneetNS/EduMentor-Qwen3-4B-FP16 

EduMentor Qwen3 4B FP16 Benchmarks

LLME Score: 0.26964
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
EduMentor Qwen3 4B FP16 (PraneetNS/EduMentor-Qwen3-4B-FP16)
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EduMentor Qwen3 4B FP16 Parameters and Internals

LLM NameEduMentor Qwen3 4B FP16
Repository 🤗https://huggingface.co/PraneetNS/EduMentor-Qwen3-4B-FP16 
Model Size4b
Required VRAM8.1 GB
Updated2026-07-01
MaintainerPraneetNS
Model Typeqwen3
Model Files  5.0 GB: 1-of-2   3.1 GB: 2-of-2
Quantization Typefp16
Model ArchitectureQwen3ForCausalLM
Context Length262144
Model Max Length262144
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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...Instruct Haiku 4.5 Merged FP16256K / 8.1 GB421
Note: green Score (e.g. "73.2") means that the model is better than PraneetNS/EduMentor-Qwen3-4B-FP16.

Rank the EduMentor Qwen3 4B FP16 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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