FT Elyza ELYZA Japanese Llama 2 7B Instruct by Nisk36

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  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow

FT Elyza ELYZA Japanese Llama 2 7B Instruct Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
FT Elyza ELYZA Japanese Llama 2 7B Instruct (Nisk36/FT_elyza_ELYZA-japanese-Llama-2-7b-instruct)

FT Elyza ELYZA Japanese Llama 2 7B Instruct Parameters and Internals

LLM NameFT Elyza ELYZA Japanese Llama 2 7B Instruct
Repository ๐Ÿค—https://huggingface.co/Nisk36/FT_elyza_ELYZA-japanese-Llama-2-7b-instruct 
Model Size7b
Required VRAM13.5 GB
Updated2025-03-16
MaintainerNisk36
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.45.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Nisk36/FT_elyza_ELYZA-japanese-Llama-2-7b-instruct.

Rank the FT Elyza ELYZA Japanese Llama 2 7B Instruct 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227