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Franqwenstein 35B by nisten

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Base model:aicloser/qwen2.5-32... Base model:finetune:aicloser/q...   Instruct   Model-index   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nisten/franqwenstein-35b 

Franqwenstein 35B Benchmarks

MMLU Pro: 51.23
GPQA: 14.54
MUSR: 19.68
BBH: 51.68
IFEval: 39.14 vs 88 (so35)-55.5%
MATH Lvl 5: 30.44
LLME Score: 0.30333
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Franqwenstein 35B (nisten/franqwenstein-35b)

Franqwenstein 35B Parameters and Internals

LLM NameFranqwenstein 35B
Repository 🤗https://huggingface.co/nisten/franqwenstein-35b 
Base Model(s)  Qwen/Qwen2.5-32B   AiCloser/Qwen2.5-32B-AGI   Qwen/Qwen2.5-32B-Instruct   Qwen/Qwen2.5-32B   AiCloser/Qwen2.5-32B-AGI   Qwen/Qwen2.5-32B-Instruct
Model Size32b
Required VRAM69.8 GB
Updated2025-05-12
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   1.0 GB: 15-of-15
Model ArchitectureQwen2ForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.45.1
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/franqwenstein-35b.

Rank the Franqwenstein 35B 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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