Tinystories Zh by flyingfishinwater

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  Autotrain compatible   Dataset:52ai/tinystorieszh   Endpoints compatible   Llama   Pytorch   Region:us   Zh

Tinystories Zh Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tinystories Zh (flyingfishinwater/tinystories_zh)

Tinystories Zh Parameters and Internals

Model Type 
text generation
Use Cases 
Considerations:
Small models can advance understanding of model principles; aid rapid iteration in app development; are advantageous in high concurrency environments like games.
Supported Languages 
zh (full)
Training Details 
Data Sources:
TinyStoriesZh dataset
Data Volume:
199,536,607 characters
Methodology:
Tokenization using BPE algorithm, tokenizers model has only 38K.
Context Length:
768
Training Time:
Approximately 18 hours on a single A10G GPU
Hardware Used:
A10G server
Model Architecture:
Llama2 standard with dim 768, 12 n_heads, 12 n_layers, kv_heads 12
LLM NameTinystories Zh
Repository ๐Ÿค—https://huggingface.co/flyingfishinwater/tinystories_zh 
Required VRAM0.2 GB
Updated2025-02-22
Maintainerflyingfishinwater
Model Typellama
Model Files  0.4 GB   0.2 GB   0.0 GB
Supported Languageszh
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length768
Model Max Length768
Transformers Version4.32.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size3000
Torch Data Typefloat16

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Context / RAM
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LWM Text Chat 512K512K / 13.5 GB62
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LWM Text Chat 256K256K / 13.5 GB213
Pallas 0.5 LASER 0.1195K / 68.9 GB19912
Ashley3b X 1.2128K / 6.5 GB250
Ashley3b X 1.3128K / 6.5 GB140
Cyber13128K / 16.1 GB50
Cyber8128K / 16.1 GB50
LWM Text Chat 128K128K / 13.5 GB4120
Note: green Score (e.g. "73.2") means that the model is better than flyingfishinwater/tinystories_zh.

Rank the Tinystories Zh Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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 v20241227