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Llama 2 70B Chat 4bit Japanese V1 by doshisha-mil

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  4bit   Adapter   Facebook   Finetuned   Ja   Llama2   Lora   Meta   Peft   Pytorch   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/doshisha-mil/llama-2-70b-chat-4bit-japanese-v1 

Llama 2 70B Chat 4bit Japanese V1 Benchmarks

LLME Score: 0.12703
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 2 70B Chat 4bit Japanese V1 (doshisha-mil/llama-2-70b-chat-4bit-japanese-v1)

Llama 2 70B Chat 4bit Japanese V1 Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model is fine-tuned using the Japanese version of the alpaca dataset.
Supported Languages 
ja (Japanese)
Training Details 
Data Sources:
alpaca_ja dataset (https://github.com/shi3z/alpaca_ja)
Methodology:
fine-tuning
Input Output 
Input Format:
Text input as a string with structure - questions and answers
Accepted Modalities:
text
Output Format:
Text output as a generated response
LLM NameLlama 2 70B Chat 4bit Japanese V1
Repository 🤗https://huggingface.co/doshisha-mil/llama-2-70b-chat-4bit-japanese-v1 
Model Size70b
Required VRAM3.3 GB
Updated2024-12-22
Maintainerdoshisha-mil
Model Files  3.3 GB
Supported Languagesja
Quantization Type4bit
Model ArchitectureAdapter
Licensellama2
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesdown_proj|o_proj|k_proj|gate_proj|q_proj|up_proj|v_proj
LoRA Alpha16
LoRA Dropout0.1
R Param64

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Note: green Score (e.g. "73.2") means that the model is better than doshisha-mil/llama-2-70b-chat-4bit-japanese-v1.

Rank the Llama 2 70B Chat 4bit Japanese V1 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 v20241217
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