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Chuxin 1.6B Base by chuxin-llm

 »  All LLMs  »  chuxin-llm  »  Chuxin 1.6B Base   URL Share it on

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  Arxiv:2405.04828   Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/chuxin-llm/Chuxin-1.6B-Base 

Chuxin 1.6B Base Benchmarks

LLME Score: 0.19281
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Chuxin 1.6B Base (chuxin-llm/Chuxin-1.6B-Base)

Chuxin 1.6B Base Parameters and Internals

Model Type 
text generation, contextual retrieval
Use Cases 
Areas:
research
Applications:
text generation, contextual retrieval
Primary Use Cases:
common sense reasoning, reading comprehension
Additional Notes 
Chuxin-1.6B is built entirely on open-source data and shows competitive capabilities in various tasks.
Training Details 
Data Sources:
open-source data
Data Volume:
large-scale
Training Time:
unknown
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text
LLM NameChuxin 1.6B Base
Repository 🤗https://huggingface.co/chuxin-llm/Chuxin-1.6B-Base 
Model Size1.6b
Required VRAM3.3 GB
Updated2025-02-05
Maintainerchuxin-llm
Model Typellama
Model Files  3.3 GB
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.33.0
Tokenizer ClassLlamaTokenizerFast
Beginning of Sentence Token<｜begin▁of▁sentence｜>
End of Sentence Token<｜end▁of▁sentence｜>
Vocabulary Size102400
Torch Data Typebfloat16

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Context / RAM
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Subnet6 0018K / 16.1 GB50
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Note: green Score (e.g. "73.2") means that the model is better than chuxin-llm/Chuxin-1.6B-Base.

Rank the Chuxin 1.6B Base 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 v20241227
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