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ELYZA Japanese CodeLlama 7B Instruct GPTQ Calib Ja 1K by mmnga

 »  All LLMs  »  mmnga  »  ELYZA Japanese CodeLlama 7B Instruct GPTQ Calib Ja 1K   URL Share it on

  47   
  Arxiv:2307.09288   Arxiv:2308.12950   4bit   Autotrain compatible   Codegen   Endpoints compatible   Gptq   Instruct   Ja   Llama   Llama2   Quantized   Region:us

ELYZA Japanese CodeLlama 7B Instruct GPTQ Calib Ja 1K Benchmarks

LLME Score: 0.17142
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

ELYZA Japanese CodeLlama 7B Instruct GPTQ Calib Ja 1K Parameters and Internals

LLM NameELYZA Japanese CodeLlama 7B Instruct GPTQ Calib Ja 1K
Repository 🤗https://huggingface.co/mmnga/ELYZA-japanese-CodeLlama-7b-instruct-GPTQ-calib-ja-1k 
Model Size7b
Required VRAM3.9 GB
Updated2024-09-07
Maintainermmnga
Model Typellama
Instruction-BasedYes
Model Files  3.9 GB
Supported Languagesja
GPTQ QuantizationYes
Quantization Typegptq|4bit
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.35.1
Tokenizer ClassCodeLlamaTokenizer
Vocabulary Size32016
Torch Data Typebfloat16
ELYZA Japanese CodeLlama 7B Instruct GPTQ Calib Ja 1K (mmnga/ELYZA-japanese-CodeLlama-7b-instruct-GPTQ-calib-ja-1k)

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Note: green Score (e.g. "73.2") means that the model is better than mmnga/ELYZA-japanese-CodeLlama-7b-instruct-GPTQ-calib-ja-1k.

Rank the ELYZA Japanese CodeLlama 7B Instruct GPTQ Calib Ja 1K 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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Release v2024072803
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