What are the hardware requirements for Qwen3 8B ODA Math 460K?

Qwen3 8B ODA Math 460K requires approximately 16.4 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 8B ODA Math 460K and how large is it?

Qwen3 8B ODA Math 460K is developed by OpenDataArena, a model with 8b 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 8B ODA Math 460K?

Qwen3 8B ODA Math 460K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 8B ODA Math 460K by OpenDataArena — VRAM 16.4GB, 32K context

Name: Qwen3 8B ODA Math 460K
Author: OpenDataArena

Qwen3 8B ODA Math 460K is an open-source language model by OpenDataArena. Features: 8b LLM, VRAM: 16.4GB, Context: 32K, License: cc-by-nc-4.0, LLM Explorer Score: 0.22.

Arxiv:2512.14051 Arxiv:2601.09733 Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-8b-base Conversational Dataset:opendataarena/oda-math... En Endpoints compatible Math Oda-math Opendataarena Qwen3 Reasoning Region:us Safetensors Sft Sharded Tensorboard Tensorflow

Model Card on HF 🤗: https://huggingface.co/OpenDataArena/Qwen3-8B-ODA-Math-460k

Qwen3 8B ODA Math 460K Parameters and Internals

LLM Name	Qwen3 8B ODA Math 460K
Repository 🤗	https://huggingface.co/OpenDataArena/Qwen3-8B-ODA-Math-460k
Base Model(s)	Qwen3 8B Base Qwen/Qwen3-8B-Base
Model Size	8b
Required VRAM	16.4 GB
Updated	2026-06-29
Maintainer	OpenDataArena
Model Type	qwen3
Model Files	4.9 GB: 1-of-4 4.9 GB: 2-of-4 5.0 GB: 3-of-4 1.6 GB: 4-of-4 0.0 GB
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	cc-by-nc-4.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.55.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 8B ODA Math 460K 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

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Note: green Score (e.g. "73.2") means that the model is better than OpenDataArena/Qwen3-8B-ODA-Math-460k.