What are the hardware requirements for Qwen3 14B Ja Fin Thinking?

Qwen3 14B Ja Fin Thinking requires approximately 29.5 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 14B Ja Fin Thinking and how large is it?

Qwen3 14B Ja Fin Thinking is developed by nri-ai, a model with 14b 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 Qwen3 14B Ja Fin Thinking?

Qwen3 14B Ja Fin Thinking is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 14B Ja Fin Thinking by nri-ai — VRAM 29.5GB, 32K context

Name: Qwen3 14B Ja Fin Thinking
Author: nri-ai

Qwen3 14B Ja Fin Thinking is an open-source language model by nri-ai. Features: 14b LLM, VRAM: 29.5GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.23.

Arxiv:2603.01353 Base model:finetune:nri-ai/qwe... Base model:nri-ai/qwen3-14b-ja... Conversational Dataset:nri-ai/nri-fin-reasoni... En Endpoints compatible Finance Ja Japanese Qwen3 Reasoning Region:us Safetensors Sft Sharded Tensorflow Thinking

Model Card on HF 🤗: https://huggingface.co/nri-ai/Qwen3-14B-Ja-Fin-Thinking

Qwen3 14B Ja Fin Thinking Parameters and Internals

LLM Name	Qwen3 14B Ja Fin Thinking
Repository 🤗	https://huggingface.co/nri-ai/Qwen3-14B-Ja-Fin-Thinking
Base Model(s)	nri-ai/Qwen3-14B-Ja-Fin-CPT nri-ai/Qwen3-14B-Ja-Fin-CPT
Model Size	14b
Required VRAM	29.5 GB
Updated	2026-07-30
Maintainer	nri-ai
Model Type	qwen3
Model Files	5.0 GB: 1-of-6 5.0 GB: 2-of-6 4.9 GB: 3-of-6 5.0 GB: 4-of-6 4.9 GB: 5-of-6 4.7 GB: 6-of-6
Supported Languages	ja en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.57.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen3 14B Ja Fin Thinking capabilities

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Instruction Following and Task Automation
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Data Analysis and Insight Generation
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Best Alternatives to Qwen3 14B Ja Fin Thinking

Best Alternatives	Context / RAM	Downloads	Likes
...JA Qwen3 14B Agentic 256K V0.1	256K / 29.5 GB	28	8
SimpleChat 14B V1	195K / 29.5 GB	10	2
...0528DistillQwen 14B V27.3 200K	195K / 29.5 GB	9	5
...uct 21B Brainstorm20x 128K Ctx	128K / 84.1 GB	8	0
NousCoder 14B	80K / 29.5 GB	379	221
MiroThinker 14B DPO V0.2	64K / 29.7 GB	28	6
UIGEN T3 14B Preview	40K / 29.5 GB	24	22
Qwen3 14B	40K / 29.7 GB	2722973	437
...Svamp14 Sft Merged Bf16 R8 A16	40K / 29.5 GB	466	0
Hermes 4 14B	40K / 29.5 GB	194693	169

Note: green Score (e.g. "73.2") means that the model is better than nri-ai/Qwen3-14B-Ja-Fin-Thinking.