ELYZA Japanese Llama 2 7B Instruct AWQ by dahara1

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  Arxiv:2306.00978   Arxiv:2307.09288   Autotrain compatible   Awq   En   Instruct   Ja   Llama   Quantized   Region:us

ELYZA Japanese Llama 2 7B Instruct AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ELYZA Japanese Llama 2 7B Instruct AWQ (dahara1/ELYZA-japanese-Llama-2-7b-instruct-AWQ)
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ELYZA Japanese Llama 2 7B Instruct AWQ Parameters and Internals

Model Type 
Instruction-following, Quantized
Use Cases 
Areas:
Japanese instruction following
Limitations:
Quantized model deteriorates instruction-following ability
Supported Languages 
ja (Japanese), en (English)
Training Details 
Methodology:
Additional pre-training in Japanese instruction
Input Output 
Input Format:
[INST] <> Input Prompt <>
Accepted Modalities:
text
Output Format:
Generated text
LLM NameELYZA Japanese Llama 2 7B Instruct AWQ
Repository ๐Ÿค—https://huggingface.co/dahara1/ELYZA-japanese-Llama-2-7b-instruct-AWQ 
Base Model(s)  ...Japanese CodeLlama 7B Instruct   elyza/ELYZA-japanese-CodeLlama-7b-instruct
Model Size7b
Required VRAM3.9 GB
Updated2025-08-22
Maintainerdahara1
Model Typellama
Instruction-BasedYes
Model Files  3.9 GB
Supported Languagesja en
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.33.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than dahara1/ELYZA-japanese-Llama-2-7b-instruct-AWQ.

Rank the ELYZA Japanese Llama 2 7B Instruct AWQ 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  
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 v20241124