What are the hardware requirements for ABEJA QwQ32b Reasoning Japanese V1.0?

ABEJA QwQ32b Reasoning Japanese V1.0 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 QwQ32b Reasoning Japanese V1.0 and how large is it?

ABEJA QwQ32b Reasoning Japanese V1.0 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 QwQ32b Reasoning Japanese V1.0?

ABEJA QwQ32b Reasoning Japanese V1.0 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

ABEJA QwQ32b Reasoning Japanese V1.0 by abeja — VRAM 65.8GB, 32K context

Name: ABEJA QwQ32b Reasoning Japanese V1.0
Author: abeja

ABEJA QwQ32b Reasoning Japanese V1.0 is an open-source language model by abeja. Features: 32b LLM, VRAM: 65.8GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.17.

Base model:finetune:qwen/qwq-3... Base model:qwen/qwq-32b Conversational Endpoints compatible Ja Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/abeja/ABEJA-QwQ32b-Reasoning-Japanese-v1.0

ABEJA QwQ32b Reasoning Japanese V1.0 Parameters and Internals

LLM Name	ABEJA QwQ32b Reasoning Japanese V1.0
Repository 🤗	https://huggingface.co/abeja/ABEJA-QwQ32b-Reasoning-Japanese-v1.0
Base Model(s)	Qwen/Qwen2.5-32B-Instruct abeja/ABEJA-Qwen2.5-32b-Japanese-v0.1 QwQ 32B Qwen/Qwen2.5-32B-Instruct abeja/ABEJA-Qwen2.5-32b-Japanese-v0.1 Qwen/QwQ-32B
Model Size	32b
Required VRAM	65.8 GB
Updated	2026-06-02
Maintainer	abeja
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	4.41.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the ABEJA QwQ32b Reasoning Japanese V1.0 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 QwQ32b Reasoning Japanese V1.0

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	14	17
Ultiima 32B	128K / 65.8 GB	11	7
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	12	4

Note: green Score (e.g. "73.2") means that the model is better than abeja/ABEJA-QwQ32b-Reasoning-Japanese-v1.0.