What are the hardware requirements for ABEJA Qwen2.5 32B Japanese V0.1?

ABEJA Qwen2.5 32B Japanese V0.1 requires approximately 65.8 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 ABEJA Qwen2.5 32B Japanese V0.1 and how large is it?

ABEJA Qwen2.5 32B Japanese V0.1 is developed by abeja, a model with 32b 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 ABEJA Qwen2.5 32B Japanese V0.1?

ABEJA Qwen2.5 32B Japanese V0.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

ABEJA Qwen2.5 32B Japanese V0.1 by abeja — VRAM 65.8GB, 32K context

Name: ABEJA Qwen2.5 32B Japanese V0.1
Author: abeja

ABEJA Qwen2.5 32B Japanese V0.1 is an open-source language model by abeja. Features: 32b LLM, VRAM: 65.8GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.17.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-32b-in... Conversational Endpoints compatible Instruct Ja Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/abeja/ABEJA-Qwen2.5-32b-Japanese-v0.1

ABEJA Qwen2.5 32B Japanese V0.1 Parameters and Internals

LLM Name	ABEJA Qwen2.5 32B Japanese V0.1
Repository 🤗	https://huggingface.co/abeja/ABEJA-Qwen2.5-32b-Japanese-v0.1
Base Model(s)	Qwen/Qwen2.5-32B-Instruct Qwen/Qwen2.5-32B-Instruct
Model Size	32b
Required VRAM	65.8 GB
Updated	2026-08-01
Maintainer	abeja
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-14 4.9 GB: 2-of-14 4.9 GB: 3-of-14 4.9 GB: 4-of-14 4.9 GB: 5-of-14 4.9 GB: 6-of-14 4.9 GB: 7-of-14 4.9 GB: 8-of-14 4.9 GB: 9-of-14 4.9 GB: 10-of-14 4.9 GB: 11-of-14 4.9 GB: 12-of-14 4.9 GB: 13-of-14 2.1 GB: 14-of-14
Supported Languages	ja
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.47.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	float16
Errors	replace

Rank the ABEJA Qwen2.5 32B Japanese V0.1 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to ABEJA Qwen2.5 32B Japanese V0.1

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...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	9	2
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	14	17
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	12	4
Franqwenstein 35B	128K / 69.8 GB	5	8
ELYZA Thinking 1.0 Qwen 32B	128K / 65.8 GB	23	10
Archaeo 32B KTO	128K / 65.8 GB	11	4
Hamanasu Magnum QwQ 32B	128K / 65.8 GB	295	9
Qwen2.5 32B Gokgok Step3	128K / 65.7 GB	6	0
Openthaigpt R1 32B Instruct	128K / 65.8 GB	33	8
Qwen2.5 32B Dark Days Stage2	128K / 65.8 GB	9	0

Note: green Score (e.g. "73.2") means that the model is better than abeja/ABEJA-Qwen2.5-32b-Japanese-v0.1.