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TeleChat 12B by Tele-AI

 »  All LLMs  »  Tele-AI  »  TeleChat 12B   URL Share it on

  241   
  Arxiv:1910.07467   Arxiv:2002.05202   Arxiv:2104.09864   Arxiv:2401.03804   Autotrain compatible   Custom code   Pytorch   Region:us   Telechat
Model Card on HF 🤗: https://huggingface.co/Tele-AI/TeleChat-12B 

TeleChat 12B Benchmarks

LLME Score: 0.18419
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
TeleChat 12B (Tele-AI/TeleChat-12B)

TeleChat 12B Parameters and Internals

Model Type 
Decoder-only
Use Cases 
Areas:
Commercial applications, Research
Primary Use Cases:
Long text generation tasks like work summaries, PPT outlines, reports, etc.
Supported Languages 
Chinese (High)
Training Details 
Data Sources:
书籍, 百科, 新闻, 政务, 法律, 医药, 专利, 论文, 数学, 代码
Data Volume:
3 trillion Tokens
Methodology:
Scientific data ratio learning and curriculum learning with automated evaluation and dynamic data weighting
Model Architecture:
Standard Decoder-only with improvements
Release Notes 
Version:
12B
Date:
2024-03-20
Notes:
Released chat model and quantized versions.
Version:
1T Chinese Dataset
Date:
2024-01-11
Notes:
Released 1T Chinese dataset.
Version:
7B
Date:
2024-01-10
Notes:
Released chat model and its quantized versions.
LLM NameTeleChat 12B
Repository 🤗https://huggingface.co/Tele-AI/TeleChat-12B 
Model Size12b
Required VRAM5.9 GB
Updated2025-02-05
MaintainerTele-AI
Model Typetelechat
Model Files  6.5 GB: 1-of-4   5.9 GB: 2-of-4   5.9 GB: 3-of-4   6.5 GB: 4-of-4
Model ArchitectureTelechatForCausalLM
Licenseapache-2.0
Model Max Length100000000
Transformers Version4.24.0
Tokenizer ClassTelechatTokenizer
End of Sentence Token<_end>
Unk Token<_end>
Vocabulary Size120000

Best Alternatives to TeleChat 12B

Best Alternatives
Context / RAM
Downloads
Likes
TeleChat 12B V20K / 5.9 GB261
TeleChat 12B Int80K / 13.9 GB102
TeleChat 12B Int40K / 8.3 GB82
Note: green Score (e.g. "73.2") means that the model is better than Tele-AI/TeleChat-12B.

Rank the TeleChat 12B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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