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

ABEJA Qwen2.5 32B Base Jp 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 Base Jp V0.1 and how large is it?

ABEJA Qwen2.5 32B Base Jp V0.1 is developed by TeamDelta, 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 Base Jp V0.1?

ABEJA Qwen2.5 32B Base Jp 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 Base Jp V0.1 by TeamDelta — VRAM 65.8GB, 32K context

Name: ABEJA Qwen2.5 32B Base Jp V0.1
Author: TeamDelta

ABEJA Qwen2.5 32B Base Jp V0.1 is an open-source language model by TeamDelta. Features: 32b LLM, VRAM: 65.8GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.16.

Base model:abeja/abeja-qwen2.5... Base model:finetune:abeja/abej... Ja Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/TeamDelta/ABEJA-Qwen2.5-32B-base-jp-v0.1

ABEJA Qwen2.5 32B Base Jp V0.1 Parameters and Internals

LLM Name	ABEJA Qwen2.5 32B Base Jp V0.1
Repository 🤗	https://huggingface.co/TeamDelta/ABEJA-Qwen2.5-32B-base-jp-v0.1
Base Model(s)	abeja/ABEJA-Qwen2.5-32b-Japanese-v0.1 abeja/ABEJA-Qwen2.5-32b-Japanese-v0.1
Model Size	32b
Required VRAM	65.8 GB
Updated	2026-08-03
Maintainer	TeamDelta
Model Type	qwen2
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	4.47.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the ABEJA Qwen2.5 32B Base Jp V0.1 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

Best Alternatives to ABEJA Qwen2.5 32B Base Jp V0.1

Best Alternatives	Context / RAM	Downloads	Likes
Openbuddy Qwq 32B V24.2 200K	195K / 65.8 GB	9	3
Openbuddy Qwq 32B V24.1 200K	195K / 65.8 GB	10	3
Openbuddy Qwq 32B V25.2q 200K	195K / 65.8 GB	1	4
...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	9	2
DeepSeek R1 Distill Qwen 32B	128K / 65.7 GB	841633	1584
Qwen2.5 32B	128K / 65.5 GB	49206	180
RomboUltima 32B	128K / 20.7 GB	12	6
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	28	17
Ultiima 32B	128K / 65.8 GB	11	7
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	22	4

Note: green Score (e.g. "73.2") means that the model is better than TeamDelta/ABEJA-Qwen2.5-32B-base-jp-v0.1.