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Shqiponja 90 by nisten

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  Autotrain compatible Base model:finetune:qwen/qwen1...   Base model:qwen/qwen1.5-72b   Conversational   Endpoints compatible   Merge   Mergekit   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nisten/shqiponja-90 

Shqiponja 90 Benchmarks

LLME Score: 0.14086
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Shqiponja 90 (nisten/shqiponja-90)
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Shqiponja 90 Parameters and Internals

Additional Notes 
This is a merged model from pre-trained language models using mergekit.
Training Details 
Methodology:
passthrough merge
LLM NameShqiponja 90
Repository 🤗https://huggingface.co/nisten/shqiponja-90 
Base Model(s)  Qwen/Qwen1.5-72B   Qwen/Qwen1.5-72B
Model Size72b
Required VRAM179.4 GB
Updated2025-09-23
Maintainernisten
Model Typeqwen2
Model Files  9.9 GB: 1-of-19   9.8 GB: 2-of-19   9.9 GB: 3-of-19   9.7 GB: 4-of-19   9.9 GB: 5-of-19   9.9 GB: 6-of-19   9.7 GB: 7-of-19   9.8 GB: 8-of-19   9.8 GB: 9-of-19   9.7 GB: 10-of-19   9.9 GB: 11-of-19   9.9 GB: 12-of-19   9.9 GB: 13-of-19   9.8 GB: 14-of-19   9.9 GB: 15-of-19   9.9 GB: 16-of-19   9.9 GB: 17-of-19   9.7 GB: 18-of-19   2.4 GB: 19-of-19
Model ArchitectureQwen2ForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than nisten/shqiponja-90.

Rank the Shqiponja 90 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 v20241124
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