What are the hardware requirements for GPT Oss 20B Ja Fin Thinking?

GPT Oss 20B Ja Fin Thinking requires approximately 41.6 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GPT Oss 20B Ja Fin Thinking and how large is it?

GPT Oss 20B Ja Fin Thinking is developed by nri-ai, a model with 20b 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 GPT Oss 20B Ja Fin Thinking?

GPT Oss 20B Ja Fin Thinking is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GPT Oss 20B Ja Fin Thinking by nri-ai — VRAM 41.6GB, 128K context

Name: GPT Oss 20B Ja Fin Thinking
Author: nri-ai

GPT Oss 20B Ja Fin Thinking is an open-source language model by nri-ai. Features: 20b LLM, VRAM: 41.6GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.24.

Arxiv:2603.01353 Base model:finetune:nri-ai/gpt... Base model:nri-ai/gpt-oss-20b-... Conversational Dataset:nri-ai/nri-fin-reasoni... En Endpoints compatible Finance Gpt oss Ja Japanese Reasoning Region:us Safetensors Sft Sharded Tensorflow Thinking

Model Card on HF 🤗: https://huggingface.co/nri-ai/gpt-oss-20b-Ja-Fin-Thinking

GPT Oss 20B Ja Fin Thinking Parameters and Internals

LLM Name	GPT Oss 20B Ja Fin Thinking
Repository 🤗	https://huggingface.co/nri-ai/gpt-oss-20b-Ja-Fin-Thinking
Base Model(s)	nri-ai/gpt-oss-20b-Ja-Fin-CPT nri-ai/gpt-oss-20b-Ja-Fin-CPT
Model Size	20b
Required VRAM	41.6 GB
Updated	2026-07-06
Maintainer	nri-ai
Model Type	gpt_oss
Model Files	4.5 GB: 1-of-9 4.9 GB: 2-of-9 4.9 GB: 3-of-9 4.9 GB: 4-of-9 4.9 GB: 5-of-9 4.9 GB: 6-of-9 4.9 GB: 7-of-9 4.9 GB: 8-of-9 2.8 GB: 9-of-9
Supported Languages	ja en
Model Architecture	GptOssForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.57.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|endoftext\|>
Vocabulary Size	201088

Rank the GPT Oss 20B Ja Fin Thinking 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

Quantized Models of the GPT Oss 20B Ja Fin Thinking

Model	Likes	Downloads	VRAM
...s 20B Ja Fin Thinking MLX 4bit	1	126	11 GB
...s 20B Ja Fin Thinking MLX 8bit	1	102	22 GB

Best Alternatives to GPT Oss 20B Ja Fin Thinking

Best Alternatives	Context / RAM	Downloads	Likes
GPT Oss 20B	128K / 13.8 GB	7983620	4849
OTel LLM 20B Reasoning	128K / 83.8 GB	1040	1
GPT Oss 20B	128K / 13.8 GB	16416	47
GPT Oss Safeguard 20B	128K / 13.8 GB	154333	239
Atlasv25 TRM Gptoss 20B	128K / 41.8 GB	520	0
Context 1	128K / 41.8 GB	726	414
...erih Gptoss 20B Lora32 Step600	128K / 13.8 GB	286	0
OptiMind SFT	128K / 42 GB	15767	102
Strawberry 1	128K / 41.6 GB	406	2
GPT Oss 20B Heretic Ara V4	128K / 13.8 GB	5339	13

Note: green Score (e.g. "73.2") means that the model is better than nri-ai/gpt-oss-20b-Ja-Fin-Thinking.