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Bilingual GPT Neox 4B Instruction Sft by rinna

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Bilingual GPT Neox 4B Instruction Sft is an open-source language model by rinna. Features: 4b LLM, VRAM: 7.6GB, Context: 2K, License: mit, Instruction-Based, HF Score: 32.5, LLM Explorer Score: 0.14, Arc: 28.1, HellaSwag: 47.5, MMLU: 23.1, TruthfulQA: 43.8, WinoGrande: 52.3.

  Arxiv:2404.01657 Base model:finetune:rinna/bili... Base model:rinna/bilingual-gpt...   Dataset:anthropic/hh-rlhf   En   Gpt neox   Instruct   Ja   Pytorch   Region:us   Safetensors
Model Card on HF πŸ€—: https://huggingface.co/rinna/bilingual-gpt-neox-4b-instruction-sft 

Bilingual GPT Neox 4B Instruction Sft Benchmarks

ARC: 28.07 vs 96.7 (so35)-71%
HellaSwag: 47.5 vs 95.3 (gpt4)-50.2%
MMLU: 23.12 vs 88.3 (so35)-73.8%
TruthfulQA: 43.76 vs 59 (gpt4)-25.8%
WinoGrande: 52.33 vs 87.5 (gpt4)-40.2%
LLME Score: 0.14159
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bilingual GPT Neox 4B Instruction Sft (rinna/bilingual-gpt-neox-4b-instruction-sft)
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Bilingual GPT Neox 4B Instruction Sft Parameters and Internals

Model Type 
bilingual, text generation, instruction-following, conversational agent
Use Cases 
Areas:
Research, Commercial applications
Applications:
Language translation, Conversational agents, Text generation
Primary Use Cases:
Instruction-following conversational agent
Additional Notes 
Ensure to use 'use_fast=False' for the tokenizer for correct functionality.
Supported Languages 
ja (high), en (high)
Training Details 
Data Sources:
Anthropic HH RLHF data, FLAN Instruction Tuning data, Japanese translations
Methodology:
Fine-tuning
Model Architecture:
36-layer, 2816-hidden-size transformer-based language model
Input Output 
Input Format:
A conversation format between 'ユーアー' and 'システム', ending with 'システム: '.
Accepted Modalities:
text
Output Format:
Text response from the system in continuation of the conversation.
Performance Tips:
Adjust decoding hyper-parameters (e.g., temperature, top_p, top_k) for optimal results.
Release Notes 
Version:
2023/08/02
Date:
2023-08-02
Notes:
Newly trained model with MIT license.
Version:
2023/07/31
Date:
2023-07-31
Notes:
Initial release found with non-compliant training data leading to a re-release with compliant datasets.
LLM NameBilingual GPT Neox 4B Instruction Sft
Repository πŸ€—https://huggingface.co/rinna/bilingual-gpt-neox-4b-instruction-sft 
Base Model(s)  Bilingual GPT Neox 4B   rinna/bilingual-gpt-neox-4b
Model Size4b
Required VRAM7.6 GB
Updated2026-04-05
Maintainerrinna
Model Typegpt_neox
Instruction-BasedYes
Model Files  7.6 GB   7.6 GB
Supported Languagesja en
Model ArchitectureGPTNeoXForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Tokenizer ClassT5Tokenizer
Padding Token[PAD]
Vocabulary Size65536
Torch Data Typefloat16

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Rank the Bilingual GPT Neox 4B Instruction Sft Capabilities

πŸ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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