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Tqwendo 36B by nisten

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  Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-...   Code   Codegen   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nisten/tqwendo-36b 

Tqwendo 36B Benchmarks

MMLU Pro: 37.56
GPQA: 10.85
MUSR: 15.1
BBH: 49.41
IFEval: 67.78 vs 88 (so35)-23%
MATH Lvl 5: 41.54
LLME Score: 0.32802
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tqwendo 36B (nisten/tqwendo-36b)

Tqwendo 36B Parameters and Internals

LLM NameTqwendo 36B
Repository 🤗https://huggingface.co/nisten/tqwendo-36b 
Base Model(s)  Qwen/Qwen2.5-Coder-32B-Instruct   huihui-ai/Qwen2.5-Coder-32B-Instruct-abliterated   Qwen/Qwen2.5-Coder-32B-Instruct   huihui-ai/Qwen2.5-Coder-32B-Instruct-abliterated
Model Size32b
Required VRAM71.7 GB
Updated2025-05-18
Maintainernisten
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-15   5.0 GB: 2-of-15   4.9 GB: 3-of-15   4.9 GB: 4-of-15   4.9 GB: 5-of-15   4.9 GB: 6-of-15   4.9 GB: 7-of-15   4.9 GB: 8-of-15   4.9 GB: 9-of-15   4.9 GB: 10-of-15   4.8 GB: 11-of-15   5.0 GB: 12-of-15   4.9 GB: 13-of-15   4.9 GB: 14-of-15   2.9 GB: 15-of-15
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.45.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than nisten/tqwendo-36b.

Rank the Tqwendo 36B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Text Summarization and Feature Extraction  
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Multi-Language Support and Translation  

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Release v20241227
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