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Qwarkstar 4B by qingy2024

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Qwarkstar 4B is an open-source language model by qingy2024. Features: 4b LLM, VRAM: 9GB, Context: 32K, LLM Explorer Score: 0.21.

Base model:finetune:qingy2024/...   Base model:qingy2024/qwark-4b   Dataset:qingy2024/qwark-corpus   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/qingy2024/Qwarkstar-4B 

Qwarkstar 4B Benchmarks

MMLU Pro: 15.84
GPQA: 9.96
MUSR: 14.09
BBH: 16.57
IFEval: 19.94 vs 88 (so35)-77.3%
MATH Lvl 5: 8.61
LLME Score: 0.21332
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwarkstar 4B (qingy2024/Qwarkstar-4B)
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Qwarkstar 4B Parameters and Internals

LLM NameQwarkstar 4B
Repository 🤗https://huggingface.co/qingy2024/Qwarkstar-4B 
Base Model(s)  Qwark 4B   qingy2024/Qwark-4B
Model Size4b
Required VRAM9 GB
Updated2026-04-11
Maintainerqingy2024
Model Typeqwen2
Model Files  5.0 GB: 1-of-2   4.0 GB: 2-of-2
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.46.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwarkstar 4B

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Context / RAM
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Qwen1.5 4B Chat32K / 7.9 GB1079543
Qwarkstar 4B Instruct Preview32K / 9 GB82
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Qwarkstar 4B Instruct32K / 9 GB301
Sailor 4B32K / 7.9 GB2476
Nusantara 4B Indo Chat32K / 7.9 GB1242
Sailor 4B Chat32K / 7.9 GB1602
Reyna CoT 4B V0.132K / 7.9 GB936
Blossom V5 4B32K / 7.9 GB952
Quyen V0.132K / 7.9 GB20912
Note: green Score (e.g. "73.2") means that the model is better than qingy2024/Qwarkstar-4B.

Rank the Qwarkstar 4B 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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