What are the hardware requirements for Rewnozom?

Rewnozom requires approximately 30.5 GB of VRAM and supports a context window of 986K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Rewnozom and how large is it?

Rewnozom is developed by Rewnozom, a model with 7b 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 Rewnozom?

Rewnozom is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Rewnozom by Rewnozom — VRAM 30.5GB, 986K context

Name: Rewnozom
Author: Rewnozom

Rewnozom is an open-source language model by Rewnozom. Features: 7b LLM, VRAM: 30.5GB, Context: 986K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.33.

Agentic Apache-2.0 Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins... Chat Control-plane Conversational Designed reward functions En Endpoints compatible Instruct Kernel Logic Long-context Memory-management Orchestration Permissions Qwen2 Qwen2.5 Reasoning Region:us Reinforce Retrieval Rl Rule-based reinforcement learn... Safetensors Sharded State-management Synthetic-data Tensorflow Tool-use

Model Card on HF 🤗: https://huggingface.co/Rewnozom/Rewnozom

Rewnozom Parameters and Internals

LLM Name	Rewnozom
Repository 🤗	https://huggingface.co/Rewnozom/Rewnozom
Base Model(s)	Qwen/Qwen2.5-7B-Instruct-1M Qwen/Qwen2.5-7B-Instruct-1M
Model Size	7b
Required VRAM	30.5 GB
Updated	2026-09-01
Maintainer	Rewnozom
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-7 4.8 GB: 2-of-7 4.9 GB: 3-of-7 4.9 GB: 4-of-7 5.0 GB: 5-of-7 3.7 GB: 6-of-7 2.2 GB: 7-of-7
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	1010000
Model Max Length	1010000
Transformers Version	4.47.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	float32
Errors	replace

Rank the Rewnozom 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 Rewnozom

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Instruct 1M	986K / 15.4 GB	52534	373
Hush Qwen2.5 7B RP V1.4 1M	986K / 15.2 GB	10	2
Qwen2.5 7B RRP 1M	986K / 15.2 GB	5	6
Qwen2.5 7B CelestialHarmony 1M	986K / 14.8 GB	8	7
Q2.5 Instruct 1M Harmony	986K / 15.2 GB	4	2
Impish QWEN 7B 1M	986K / 15.2 GB	4	6
COCO 7B Instruct 1M	986K / 15.2 GB	9	4
Apollo 7B	986K / 15.2 GB	8	0
Graph R1 7B	986K / 15.3 GB	7	3
Qwen2.5 7B Sky R1 Mini	986K / 15.2 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than Rewnozom/Rewnozom.