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QwQ 4B Instruct by prithivMLmods

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  4-bit   Adapter   Autotrain compatible Base model:prithivmlmods/qwq-l... Base model:quantized:prithivml...   Bitsandbytes   Conversational Dataset:amphora/qwq-longcot-13...   En   Endpoints compatible   Instruct   Qwen2   Qwen2.5   Qwq   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/prithivMLmods/QwQ-4B-Instruct 

QwQ 4B Instruct Benchmarks

LLME Score: 0.23236
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
QwQ 4B Instruct (prithivMLmods/QwQ-4B-Instruct)

QwQ 4B Instruct Parameters and Internals

LLM NameQwQ 4B Instruct
Repository 🤗https://huggingface.co/prithivMLmods/QwQ-4B-Instruct 
Base Model(s)  QwQ LCoT 7B Instruct   prithivMLmods/QwQ-LCoT-7B-Instruct
Model Size7b
Required VRAM5.6 GB
Updated2025-04-23
MaintainerprithivMLmods
Model Typeqwen2
Instruction-BasedYes
Model Files  4.5 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.46.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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Qwen2.5 7B Instruct 1M986K / 15.4 GB2571997315
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Q2.5 Instruct 1M Harmony986K / 15.2 GB232
Impish QWEN 7B 1M986K / 15.2 GB174
COCO 7B Instruct 1M986K / 15.2 GB214
Apollo 7B986K / 15.2 GB70
Qwen2.5 7B Instruct 1M986K / 15.2 GB6732
Qwen2.5 7B Rebase986K / 15.2 GB802
Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/QwQ-4B-Instruct.

Rank the QwQ 4B Instruct 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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