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Chinese Falcon 7B Chat by yuanzhoulvpi

 »  All LLMs  »  yuanzhoulvpi  »  Chinese Falcon 7B Chat   URL Share it on

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Chinese Falcon 7B Chat is an open-source language model by yuanzhoulvpi. Features: 7b LLM, VRAM: 15.5GB, LLM Explorer Score: 0.08.

  Custom code   Dataset:bellegroup/train 2m cn Dataset:bellegroup/train 3.5m ...   Endpoints compatible   Pytorch   Refinedwebmodel   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/yuanzhoulvpi/chinese_falcon_7b_chat 

Chinese Falcon 7b Chat Benchmarks

LLME Score: 0.0762
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Chinese Falcon 7B Chat (yuanzhoulvpi/chinese_falcon_7b_chat)
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Chinese Falcon 7B Chat Parameters and Internals

Model Type 
SFT
Additional Notes 
Model weights for Bloom-7B-v2 are also shared at: https://huggingface.co/yuanzhoulvpi/chinese_bloom_7b_chat_v2
Supported Languages 
zh (Supported)
Training Details 
Data Sources:
BelleGroup/train_3.5M_CN, BelleGroup/train_2M_CN
Data Volume:
几万条的数据
Methodology:
使用了大概几万条的数据，对 falcon-7b 模型做了 SFT
Model Architecture:
类似于 Bloom, but with RotaryEmbedding and memory efficient attention
LLM NameChinese Falcon 7b Chat
Repository 🤗https://huggingface.co/yuanzhoulvpi/chinese_falcon_7b_chat 
Model Size7b
Required VRAM15.5 GB
Updated2026-04-23
Maintaineryuanzhoulvpi
Model TypeRefinedWebModel
Model Files  9.9 GB: 1-of-2   5.6 GB: 2-of-2   9.9 GB: 1-of-2   5.6 GB: 2-of-2
Supported Languageszh
Model ArchitectureRWForCausalLM
Model Max Length2048
Transformers Version4.29.0.dev0
Is Biased1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size65024
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than yuanzhoulvpi/chinese_falcon_7b_chat.

Rank the Chinese Falcon 7B Chat Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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