Japanese GPT Neox 3.6B Instruction Sft V2 By rinna: Benchmarks, Features and Detailed Analysis. Insights on Japanese GPT Neox 3.6B Instruction Sft V2.

Arxiv:2404.01657 Autotrain compatible Dataset:anthropic/hh-rlhf Dataset:stanfordnlp/shp Gpt neox Instruct Ja Lm Pytorch Region:us Safetensors

Japanese GPT Neox 3.6B Instruction Sft V2 Parameters and Internals

LLM Name	Japanese GPT Neox 3.6B Instruction Sft V2
Repository	Open on 🤗
Model Size	3.6b
Required VRAM	7.4 GB
Updated	2024-07-27
Maintainer	rinna
Model Type	gpt_neox
Instruction-Based	Yes
Model Files	7.4 GB 7.4 GB
Supported Languages	ja
Model Architecture	GPTNeoXForCausalLM
License	mit
Context Length	2048
Model Max Length	2048
Tokenizer Class	T5Tokenizer
Padding Token	[PAD]
Vocabulary Size	32000
Torch Data Type	float16

Japanese GPT Neox 3.6B Instruction Sft V2 (rinna/japanese-gpt-neox-3.6b-instruction-sft-v2)

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Note: green Score (e.g. "73.2") means that the model is better than rinna/japanese-gpt-neox-3.6b-instruction-sft-v2.

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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 v2024072501

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Japanese GPT Neox 3.6B Instruction Sft V2 by rinna

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Japanese GPT Neox 3.6B Instruction Sft V2 Parameters and Internals

Best Alternatives to Japanese GPT Neox 3.6B Instruction Sft V2

Rank the Japanese GPT Neox 3.6B Instruction Sft V2 Capabilities

What open-source LLMs or SLMs are you in search of? 34446 in total.