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TinyLlama V1.1 Chinese by TinyLlama

 »  All LLMs  »  TinyLlama  »  TinyLlama V1.1 Chinese   URL Share it on

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  Arxiv:2401.02385   Autotrain compatible Dataset:cerebras/slimpajama-62...   En   Endpoints compatible   Llama   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/TinyLlama/TinyLlama_v1.1_chinese 

TinyLlama V1.1 Chinese Benchmarks

LLME Score: 0.17917
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
TinyLlama V1.1 Chinese (TinyLlama/TinyLlama_v1.1_chinese)

TinyLlama V1.1 Chinese Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
General purposes, Math and code, Chinese language understanding
Primary Use Cases:
TinyLlama_v1.1, TinyLlama_v1.1_Math&Code, TinyLlama_v1.1_Chinese
Additional Notes 
TinyLlama is compatible to be integrated with Llama-based systems. It features a compact architecture with 1.1B parameters.
Supported Languages 
en (English), zh (Chinese)
Training Details 
Data Sources:
cerebras/SlimPajama-627B, Math&Code, Skypile
Data Volume:
2 trillion tokens
Methodology:
Continual pretraining with specific domains
Training Time:
Start date 2023-09-01
Hardware Used:
4 A100-40G per node
Model Architecture:
Llama 2 architecture
Input Output 
Accepted Modalities:
text
LLM NameTinyLlama V1.1 Chinese
Repository 🤗https://huggingface.co/TinyLlama/TinyLlama_v1.1_chinese 
Model Size627b
Required VRAM4.4 GB
Updated2025-02-22
MaintainerTinyLlama
Model Typellama
Model Files  4.4 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.31.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat32

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...Llama 1.1B 1.5T OpenOrca Alpha2K / 2.2 GB1424
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...inyLlama 1.1B 1T OpenOrca GPTQ2K / 0.8 GB342
Note: green Score (e.g. "73.2") means that the model is better than TinyLlama/TinyLlama_v1.1_chinese.

Rank the TinyLlama V1.1 Chinese 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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Release v20241227
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