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Huozi 7B Rlhf by HIT-SCIR

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Huozi 7B Rlhf is an open-source language model by HIT-SCIR. Features: 7b LLM, VRAM: 15.6GB, LLM Explorer Score: 0.09.

  Autotrain compatible   Bloom   Endpoints compatible   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/HIT-SCIR/huozi-7b-rlhf 

Huozi 7B Rlhf Benchmarks

LLME Score: 0.08724
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Huozi 7B Rlhf (HIT-SCIR/huozi-7b-rlhf)
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Huozi 7B Rlhf Parameters and Internals

LLM NameHuozi 7B Rlhf
Repository 🤗https://huggingface.co/HIT-SCIR/huozi-7b-rlhf 
Model Size7b
Required VRAM15.6 GB
Updated2025-09-23
MaintainerHIT-SCIR
Model Typebloom
Model Files  0.0 GB: 1-of-16   2.0 GB: 2-of-16   0.9 GB: 3-of-16   0.9 GB: 4-of-16   0.9 GB: 5-of-16   0.9 GB: 6-of-16   0.9 GB: 7-of-16   0.9 GB: 8-of-16   0.9 GB: 9-of-16   0.9 GB: 10-of-16   0.9 GB: 11-of-16   0.9 GB: 12-of-16   0.9 GB: 13-of-16   0.9 GB: 14-of-16   0.8 GB: 15-of-16   2.0 GB: 16-of-16
Model ArchitectureBloomForCausalLM
Transformers Version4.28.1
Tokenizer ClassBloomTokenizer
Padding Token<pad>
Vocabulary Size250688
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than HIT-SCIR/huozi-7b-rlhf.

Rank the Huozi 7B Rlhf 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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