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Telechat 7B Int4 by Tele-AI

 »  All LLMs  »  Tele-AI  »  Telechat 7B Int4   URL Share it on

  23   
  Arxiv:1910.07467   Arxiv:2002.05202   Arxiv:2104.09864   Arxiv:2401.03804   4bit   Autotrain compatible   Custom code   Gptq   Quantized   Region:us   Telechat
Model Card on HF 🤗: https://huggingface.co/Tele-AI/telechat-7B-int4 

Telechat 7B Int4 Benchmarks

LLME Score: 0.13677
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Telechat 7B Int4 (Tele-AI/telechat-7B-int4)
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Telechat 7B Int4 Parameters and Internals

Model Type 
Decoder-only
Use Cases 
Areas:
Research, Commercial applications
Primary Use Cases:
Long text generation, Multi-turn dialogue tasks
Limitations:
Unsuitable for use without safety checks
Considerations:
Not for use in harmful or illegal activities.
Additional Notes 
The model includes support for deepspeed fine-tuning and FlashAttention2 integration.
Supported Languages 
Chinese (High), English (High)
Training Details 
Data Sources:
网页, 书籍, 官方媒体
Data Volume:
1.5 trillion tokens
Model Architecture:
Decoder-only with Rotary Embedding, SwiGLU activation, RMSNorm layer normalization.
Release Notes 
Version:
7B
Date:
2024-1-10
Notes:
Open source release of 7B model and its quantized versions.
Version:
12B
Date:
2024-1-
Notes:
予定された12Bバージョンのオープンソースリリース。
LLM NameTelechat 7B Int4
Repository 🤗https://huggingface.co/Tele-AI/telechat-7B-int4 
Model Size7b
Required VRAM4.7 GB
Updated2025-09-23
MaintainerTele-AI
Model Typetelechat
Model Files  4.7 GB
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureTelechatForCausalLM
Licenseapache-2.0
Transformers Version4.30.0
Tokenizer ClassBloomTokenizerFast
Padding Token<pad>
Vocabulary Size160256
Torch Data Typefloat16

Best Alternatives to Telechat 7B Int4

Best Alternatives
Context / RAM
Downloads
Likes
Telechat 7B Int80K / 8 GB1181
Telechat 7B0K / 0.4 GB149108
Note: green Score (e.g. "73.2") means that the model is better than Tele-AI/telechat-7B-int4.

Rank the Telechat 7B Int4 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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