What are the hardware requirements for OneReason 8B Pretrain Competition?

OneReason 8B Pretrain Competition requires approximately 16.8 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed OneReason 8B Pretrain Competition and how large is it?

OneReason 8B Pretrain Competition is developed by OpenOneRec, 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 OneReason 8B Pretrain Competition?

OneReason 8B Pretrain Competition is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

OneReason 8B Pretrain Competition by OpenOneRec — VRAM 16.8GB, 128K context

Name: OneReason 8B Pretrain Competition
Author: OpenOneRec

OneReason 8B Pretrain Competition is an open-source language model by OpenOneRec. Features: 8b LLM, VRAM: 16.8GB, Context: 128K, LLM Explorer Score: 0.29.

Arxiv:2606.06260 Competition Conversational En Endpoints compatible Generative-recommendation Itemic-token Qwen3 Reasoning Recommendation Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/OpenOneRec/OneReason-8B-pretrain-competition

OneReason 8B Pretrain Competition Parameters and Internals

LLM Name	OneReason 8B Pretrain Competition
Repository 🤗	https://huggingface.co/OpenOneRec/OneReason-8B-pretrain-competition
Model Size	8b
Required VRAM	16.8 GB
Updated	2026-08-11
Maintainer	OpenOneRec
Model Type	qwen3
Model Files	4.9 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 1.9 GB: 4-of-4
Supported Languages	en zh
Model Architecture	Qwen3ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.53.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	176255
Torch Data Type	bfloat16
Errors	replace

Rank the OneReason 8B Pretrain Competition 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 OneReason 8B Pretrain Competition

Best Alternatives	Context / RAM	Downloads	Likes
PaCoRe 8B	320K / 1.2 GB	54	48
RLVR 8B 0926	320K / 1.2 GB	63	8
...n3 8B 320K Context 10X Massive	320K / 16.4 GB	20	0
...r Of Horror Jan V1 256K Ctx 8B	256K / 16.1 GB	33	3
... BIG Jan Horror V1 256K Ctx 8B	256K / 16.1 GB	44	0
Qwen3 8B 256K Context 8X Grand	256K / 16.4 GB	95	0
...wen3 8B 192K Context 6X Larger	192K / 16.4 GB	55	0
DeepSeek R1 0528 Qwen3 8B	128K / 16.4 GB	1762293	1082
Marco DeepResearch 8B	128K / 16.3 GB	520	27
Marco DeepResearch 8B	128K / 16.3 GB	246	34

Note: green Score (e.g. "73.2") means that the model is better than OpenOneRec/OneReason-8B-pretrain-competition.