Ko Ref Llama2 7B by hyunseoki

 ยป  All LLMs  ยป  hyunseoki  ยป  Ko Ref Llama2 7B   URL Share it on

  Autotrain compatible   Endpoints compatible   Ko   Llama   Pytorch   Region:us   Sharded

Ko Ref Llama2 7B Benchmarks

Ko Ref Llama2 7B Parameters and Internals

LLM NameKo Ref Llama2 7B
Repository ๐Ÿค—https://huggingface.co/hyunseoki/ko-ref-llama2-7b 
Model Size7b
Required VRAM13.5 GB
Updated2024-09-07
Maintainerhyunseoki
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Supported Languagesko
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.33.3
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
Ko Ref Llama2 7B (hyunseoki/ko-ref-llama2-7b)

Best Alternatives to Ko Ref Llama2 7B

Best Alternatives
Context / RAM
Downloads
Likes
...1M 1000000ctx AEZAKMI 3 1 17021024K / 13.5 GB641
Yarn Llama 2 7B 128K128K / 13.5 GB53538
LLaMA 7B PoSE YaRN 128K128K / 13.5 GB183
LLaMA 7B PoSE Linear 96K96K / 27 GB82
LLaMA 7B PoSE YaRN 96K96K / 13.5 GB91
Chat Llama2 7B 80K80K / 13.8 GB80
Llama2 7B 80K80K / 13.8 GB80
Lloma Step40064K / 13.5 GB570
Lloma Step20064K / 13.5 GB630
Lloma Step5064K / 13.5 GB590
Note: green Score (e.g. "73.2") means that the model is better than hyunseoki/ko-ref-llama2-7b.

Rank the Ko Ref Llama2 7B Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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  

What open-source LLMs or SLMs are you in search of? 35693 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803