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Banana 2 B 72B by m8than

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  Instruct   Pytorch   Qwen2   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/m8than/banana-2-b-72b 

Banana 2 B 72B Benchmarks

LLME Score: 0.23795
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Banana 2 B 72B (m8than/banana-2-b-72b)

Banana 2 B 72B Parameters and Internals

LLM NameBanana 2 B 72B
Repository 🤗https://huggingface.co/m8than/banana-2-b-72b 
Model Size72b
Required VRAM146 GB
Updated2025-02-09
Maintainerm8than
Model Typeqwen2
Instruction-BasedYes
Model Files  4.5 GB: 1-of-31   5.0 GB: 2-of-31   4.8 GB: 3-of-31   4.8 GB: 4-of-31   4.8 GB: 5-of-31   5.0 GB: 6-of-31   4.8 GB: 7-of-31   4.8 GB: 8-of-31   4.8 GB: 9-of-31   5.0 GB: 10-of-31   4.8 GB: 11-of-31   4.8 GB: 12-of-31   4.8 GB: 13-of-31   5.0 GB: 14-of-31   4.8 GB: 15-of-31   4.8 GB: 16-of-31   4.8 GB: 17-of-31   5.0 GB: 18-of-31   4.8 GB: 19-of-31   4.8 GB: 20-of-31   4.8 GB: 21-of-31   5.0 GB: 22-of-31   4.8 GB: 23-of-31   4.8 GB: 24-of-31   4.8 GB: 25-of-31   5.0 GB: 26-of-31   4.8 GB: 27-of-31   4.8 GB: 28-of-31   4.8 GB: 29-of-31   3.2 GB: 30-of-31   2.5 GB: 31-of-31
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.45.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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Rombos LLM V2.5 Qwen 72B32K / 146.1 GB319335
Note: green Score (e.g. "73.2") means that the model is better than m8than/banana-2-b-72b.

Rank the Banana 2 B 72B 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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