What are the hardware requirements for Bilingual GPT Neox 4B Instruction Sft En Ja 84K?

Bilingual GPT Neox 4B Instruction Sft En Ja 84K requires approximately 7.6 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Bilingual GPT Neox 4B Instruction Sft En Ja 84K and how large is it?

Bilingual GPT Neox 4B Instruction Sft En Ja 84K is developed by ryota39, a model with 4b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Bilingual GPT Neox 4B Instruction Sft En Ja 84K?

Bilingual GPT Neox 4B Instruction Sft En Ja 84K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Bilingual GPT Neox 4B Instruction Sft En Ja 84K by ryota39 — VRAM 7.6GB, 2K context

Name: Bilingual GPT Neox 4B Instruction Sft En Ja 84K
Author: ryota39

Bilingual GPT Neox 4B Instruction Sft En Ja 84K is an open-source language model by ryota39. Features: 4b LLM, VRAM: 7.6GB, Context: 2K, License: cc-by-sa-4.0, Instruction-Based, LLM Explorer Score: 0.12.

Dataset:izumi-lab/llm-japanese... Endpoints compatible Gpt neox Instruct Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ryota39/bilingual-gpt-neox-4b-instruction-sft-en-ja-84k

Bilingual GPT Neox 4B Instruction Sft En Ja 84K Benchmarks

LLME Score: 0.12092

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

What is the LLM Explorer Rank (Score)

Bilingual GPT Neox 4B Instruction Sft En Ja 84K (ryota39/bilingual-gpt-neox-4b-instruction-sft-en-ja-84k)

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Bilingual GPT Neox 4B Instruction Sft En Ja 84K Parameters and Internals

Model Type

text generation, translation

Additional Notes

Instruction tuning focused on translation tasks, using customized data extraction from izumi-lab/llm-japanese-dataset.

Supported Languages

Japanese (native), English (translation)

Training Details

Data Sources:

izumi-lab/llm-japanese-dataset

Data Volume:

84,300 records

Methodology:

Fine-tuning for translation task

Training Time:

5 hours 39 minutes 37 seconds

Hardware Used:

1 x NVIDIA RTX A6000(VRAM48GB)

Input Output

Input Format:

Sequential prompt structure with instructions

Accepted Modalities:

text

Output Format:

Japanese translation of input English text

LLM Name	Bilingual GPT Neox 4B Instruction Sft En Ja 84K
Repository 🤗	https://huggingface.co/ryota39/bilingual-gpt-neox-4b-instruction-sft-en-ja-84k
Model Size	4b
Required VRAM	7.6 GB
Updated	2026-05-21
Maintainer	ryota39
Model Type	gpt_neox
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 2.6 GB: 2-of-2 0.0 GB 0.0 GB
Model Architecture	GPTNeoXForCausalLM
License	cc-by-sa-4.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.38.2
Vocabulary Size	65536
Torch Data Type	bfloat16

Best Alternatives to Bilingual GPT Neox 4B Instruction Sft En Ja 84K

Best Alternatives	Context / RAM	Downloads	Likes
...al GPT Neox 4B Instruction Sft	2K / 7.6 GB	939	17
...al GPT Neox 4B Instruction Ppo	2K / 7.7 GB	15	14
Tora 4B	2K / 7.6 GB	9	2

Note: green Score (e.g. "73.2") means that the model is better than ryota39/bilingual-gpt-neox-4b-instruction-sft-en-ja-84k.

Rank the Bilingual GPT Neox 4B Instruction Sft En Ja 84K Capabilities

🆘 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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Release v20260328a

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Bilingual GPT Neox 4B Instruction Sft En Ja 84K Benchmarks

Bilingual GPT Neox 4B Instruction Sft En Ja 84K Parameters and Internals

Best Alternatives to Bilingual GPT Neox 4B Instruction Sft En Ja 84K

Rank the Bilingual GPT Neox 4B Instruction Sft En Ja 84K Capabilities

What open-source LLMs or SLMs are you in search of? 53999 in total.