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Tigerbot 13B Chat V2 by TigerResearch

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  Autotrain compatible   En   Endpoints compatible   Llama   Pytorch   Region:us   Sharded   Zh

Tigerbot 13B Chat V2 Benchmarks

ARC: 78.3 vs 96.7 (so35)-19%
HellaSwag: 72.4 vs 95.3 (gpt4)-24%
MMLU: 54.1 vs 88.3 (so35)-38.7%
GSM8K: 43.1 vs 96.4 (so35)-55.3%
OpenCompas: 47.7 vs 73.3 (gpt4)-34.9%
Exam: 57 vs 77.2 (gpt4)-26.2%
Language: 40 vs 62 (gpt4)-35.5%
Knowledge: 50.9 vs 73.5 (gpt4)-30.7%
Understand: 60.2 vs 70 (gpt4)-14%
Reasoning: 41.8 vs 74.4 (gpt4)-43.8%
LLME Score: 0.13867
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Tigerbot 13B Chat V2 Parameters and Internals

LLM NameTigerbot 13B Chat V2
Repository 🤗https://huggingface.co/TigerResearch/tigerbot-13b-chat-v2 
Model Size13b
Required VRAM26.7 GB
Updated2024-10-18
MaintainerTigerResearch
Model Typellama
Model Files  10.0 GB: 1-of-3   9.9 GB: 2-of-3   6.8 GB: 3-of-3
Supported Languageszh en
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size60928
Torch Data Typebfloat16
Tigerbot 13B Chat V2 (TigerResearch/tigerbot-13b-chat-v2)

Quantized Models of the Tigerbot 13B Chat V2

Model
Likes
Downloads
VRAM
Tigerbot 13B Chat 4bit129 GB
Tigerbot 13B Chat 8bit1315 GB

Best Alternatives to Tigerbot 13B Chat V2

Best Alternatives
Context / RAM
Downloads
Likes
Luminaura RP 13B128K / 26 GB100
Yarn Llama 2 13B 128K128K / 26 GB56114
Agent Llama2 13B 80K80K / 26.4 GB50
Chat Llama2 13B 80K80K / 52.8 GB70
LongAlign 13B 64K64K / 26 GB812
LongAlign 13B 64K Base64K / 26 GB153
Openbuddy Llama2 13B V15p1 64K64K / 26.1 GB64
Openbuddy Llama2 13b64k V1564K / 26.1 GB71
Yarn Llama 2 13B 64K64K / 26 GB1918
Airoboros L2 13B 2.1 YaRN 64K64K / 26 GB127
Note: green Score (e.g. "73.2") means that the model is better than TigerResearch/tigerbot-13b-chat-v2.

Rank the Tigerbot 13B Chat V2 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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