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CT LLM Base by m-a-p

 »  All LLMs  »  m-a-p  »  CT LLM Base   URL Share it on

  166   
  Arxiv:2404.04167   Autotrain compatible   Endpoints compatible   Llama   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/m-a-p/CT-LLM-Base 

CT LLM Base Benchmarks

LLME Score: 0.18605
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CT LLM Base (m-a-p/CT-LLM-Base)

CT LLM Base Parameters and Internals

Model Type 
causal language model
Use Cases 
Considerations:
The model is intended for academic research only.
Additional Notes 
CT-LLM-Base is specifically for Chinese language support, focusing on overcoming potential biases in language adaptability.
LLM NameCT LLM Base
Repository 🤗https://huggingface.co/m-a-p/CT-LLM-Base 
Model Size2.1b
Required VRAM4.3 GB
Updated2025-02-05
Maintainerm-a-p
Model Typellama
Model Files  4.3 GB
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.38.2
Tokenizer ClassBaichuanTokenizer
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size125824
Torch Data Typefloat16

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Context / RAM
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Likes
Phi 3 Orpo V9.44K / 2.3 GB51
CT LLM SFT DPO4K / 0 GB1125
CT LLM SFT4K / 0 GB1141
Phi 3.5 Mini Instruct Bnb 4bit128K / 2.3 GB3960010
Phi 3.5 Pii Test 13128K / 7.6 GB70
...penbuddy Llama2 13b64k V15 AWQ64K / 7.4 GB141
...enbuddy Llama2 13b64k V15 GPTQ64K / 7.4 GB100
Note: green Score (e.g. "73.2") means that the model is better than m-a-p/CT-LLM-Base.

Rank the CT LLM Base 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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