What are the hardware requirements for Nawah Math Reasoning?

Nawah Math Reasoning requires approximately 0.2 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Nawah Math Reasoning and how large is it?

Nawah Math Reasoning is developed by oddadmix, a model with 50m 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 Nawah Math Reasoning?

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

Nawah Math Reasoning by oddadmix — VRAM 0.2GB, 2K context

Name: Nawah Math Reasoning
Author: oddadmix

Nawah Math Reasoning is an open-source language model by oddadmix. Features: 50m LLM, VRAM: 0.2GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.33.

Ar Arabic Base model:finetune:oddadmix/5... Base model:oddadmix/50m-2048-e... Chain-of-thought Conversational Dataset:oddadmix/arabic-math-r... Dataset:oddadmix/gsm8k-reasoni... Dataset:omartificial-intellige... Endpoints compatible Gsm8k Llama Math Reasoning Region:us Safetensors Sft Slm Small-language-model

Model Card on HF 🤗: https://huggingface.co/oddadmix/Nawah-Math-Reasoning

Nawah Math Reasoning Parameters and Internals

LLM Name	Nawah Math Reasoning
Repository 🤗	https://huggingface.co/oddadmix/Nawah-Math-Reasoning
Base Model(s)	50M 2048 Emhotob oddadmix/50M-2048-Emhotob
Model Size	50m
Required VRAM	0.2 GB
Updated	2026-08-30
Maintainer	oddadmix
Model Type	llama
Model Files	0.2 GB 0.0 GB
Supported Languages	ar
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	5.15.0
Tokenizer Class	TokenizersBackend
Padding Token	<pad>
Vocabulary Size	32004

Rank the Nawah Math Reasoning capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Text Generation
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Nyun C2 Llama3 50B	8K / 100.8 GB	8	11
Supra Router 51M	5K / 0.1 GB	2299	129
Supra 1.5 50M Instruct Exp	5K / 0.1 GB	2307	49
Supra1.5 50M Instruct Exp	5K / 0.1 GB	2023	49
Supra 1.5 50M Base Exp	5K / 0.2 GB	1738	18
Supra1.5 50M Base Exp	5K / 0.2 GB	1294	22
Supra Title 50M Pre	5K / 0.1 GB	248	8
Nawah 50M RAG Support 2K	2K / 0.1 GB	546	1
Tashkeel 50M	2K / 0.1 GB	249	1
50M 2048 Emhotob	2K / 0.2 GB	741	3

Note: green Score (e.g. "73.2") means that the model is better than oddadmix/Nawah-Math-Reasoning.