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Buffer Baichuan2 13B Rag 4bits by csdc-atl

 »  All LLMs  »  csdc-atl  »  Buffer Baichuan2 13B Rag 4bits   URL Share it on

  6   
  4-bit   Autotrain compatible   Baichuan   Custom code   En   Endpoints compatible   Region:us   Safetensors   Zh
Model Card on HF 🤗: https://huggingface.co/csdc-atl/buffer-baichuan2-13B-rag-4bits 

Buffer Baichuan2 13B Rag 4bits Benchmarks

LLME Score: 0.14739
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Buffer Baichuan2 13B Rag 4bits (csdc-atl/buffer-baichuan2-13B-rag-4bits)

Buffer Baichuan2 13B Rag 4bits Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Research, Commercial applications
Supported Languages 
en (high proficiency), zh (high proficiency)
Training Details 
Data Volume:
2.6 trillion tokens
Input Output 
Accepted Modalities:
text
LLM NameBuffer Baichuan2 13B Rag 4bits
Repository 🤗https://huggingface.co/csdc-atl/buffer-baichuan2-13B-rag-4bits 
Model Size13b
Required VRAM9.9 GB
Updated2025-02-05
Maintainercsdc-atl
Model Typebaichuan
Model Files  9.9 GB
Supported Languagesen zh
Model ArchitectureBaichuanForCausalLM
Licenseother
Model Max Length4096
Transformers Version4.29.2
Tokenizer ClassBaichuanTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size125696
Torch Data Typebfloat16

Best Alternatives to Buffer Baichuan2 13B Rag 4bits

Best Alternatives
Context / RAM
Downloads
Likes
Tiny Random Baichuan2 13B0K / 0.1 GB1287000
Baichuan2 13B Chat0K / 27.8 GB32732425
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ShieldLM 13B Baichuan20K / 27.8 GB73
Baichuan2 13B Base0K / 27.8 GB118078
Blossom V3.1 Baichuan2 13B0K / 27.8 GB51
HuatuoGPT2 13B0K / 29.1 GB396
Buffer Baichuan2 13B Rag0K / 27.8 GB151
... Efficient Training Of LLMs V10K / 29.1 GB341
Sakura 13B LNovel V0.80K / 27.8 GB185
Note: green Score (e.g. "73.2") means that the model is better than csdc-atl/buffer-baichuan2-13B-rag-4bits.

Rank the Buffer Baichuan2 13B Rag 4bits 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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