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Buffer Baichuan2 13B Rag by csdc-atl

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

  15   
  Autotrain compatible   Baichuan   Custom code   En   Endpoints compatible   Pytorch   Region:us   Sharded   Zh
Model Card on HF 🤗: https://huggingface.co/csdc-atl/buffer-baichuan2-13B-rag 

Buffer Baichuan2 13B Rag Benchmarks

LLME Score: 0.1473
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 (csdc-atl/buffer-baichuan2-13B-rag)

Buffer Baichuan2 13B Rag 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
Repository 🤗https://huggingface.co/csdc-atl/buffer-baichuan2-13B-rag 
Model Size13b
Required VRAM27.8 GB
Updated2025-02-05
Maintainercsdc-atl
Model Typebaichuan
Model Files  10.0 GB: 1-of-3   9.9 GB: 2-of-3   7.9 GB: 3-of-3   0.0 GB
Supported Languagesen zh
Model ArchitectureBaichuanForCausalLM
Licenseother
Model Max Length4096
Transformers Version4.33.1
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

Best Alternatives
Context / RAM
Downloads
Likes
Tiny Random Baichuan2 13B0K / 0.1 GB1287000
Baichuan2 13B Chat0K / 27.8 GB32732425
Baichuan 13B Chat0K / 26.5 GB3356631
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 Rag 4bits0K / 9.9 GB60
... 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.

Rank the Buffer Baichuan2 13B Rag 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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