Anh Bloomz 7b1 Mt Cross Lingual by laion

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  Autotrain compatible   Bloom   Bloomz   Casual-lm   Dataset:laion/anh   Endpoints compatible   Instruct   Multilingual   Pytorch   Region:us   Sharded

Anh Bloomz 7b1 Mt Cross Lingual Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Anh Bloomz 7b1 Mt Cross Lingual (laion/anh-bloomz-7b1-mt-cross-lingual)
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Anh Bloomz 7b1 Mt Cross Lingual Parameters and Internals

Model Type 
text-generation, casual-lm, multilingual, instruct
Additional Notes 
The model is fine-tuned for cross-lingual tasks, capable of handling instructions in multiple languages.
Input Output 
Input Format:
Text input structured as questions and instructions in multiple languages.
Accepted Modalities:
text
Output Format:
Generated textual responses.
Performance Tips:
Adjust sampling parameters (e.g., top_k, top_p, temperature) for desired creativity and consistency.
LLM NameAnh Bloomz 7b1 Mt Cross Lingual
Repository ๐Ÿค—https://huggingface.co/laion/anh-bloomz-7b1-mt-cross-lingual 
Required VRAM16.2 GB
Updated2025-09-20
Maintainerlaion
Model Typebloom
Model Files  10.0 GB: 1-of-2   6.2 GB: 2-of-2
Model ArchitectureBloomForCausalLM
Licensebigscience-openrail-m
Transformers Version4.28.0.dev0
Tokenizer ClassBloomTokenizer
Padding Token<pad>
Vocabulary Size250680
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than laion/anh-bloomz-7b1-mt-cross-lingual.

Rank the Anh Bloomz 7b1 Mt Cross Lingual 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124