What are the hardware requirements for Omni Reasoner3 Merged?

Omni Reasoner3 Merged requires approximately 6.4 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 Omni Reasoner3 Merged and how large is it?

Omni Reasoner3 Merged is developed by prithivMLmods, a model with 3b 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 Omni Reasoner3 Merged?

Omni Reasoner3 Merged is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Omni Reasoner3 Merged by prithivMLmods — VRAM 6.4GB, 128K context

Name: Omni Reasoner3 Merged
Author: prithivMLmods

Omni Reasoner3 Merged is an open-source language model by prithivMLmods. Features: 3b LLM, VRAM: 6.4GB, Context: 128K, Instruction-Based, Merged, LLM Explorer Score: 0.21.

Merged Model Arxiv:2403.19522 Base model:prithivmlmods/codep... Base model:prithivmlmods/llama... Base model:prithivmlmods/llama... Base model:prithivmlmods/llama... Base model:prithivmlmods/llama... Conversational Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Omni-Reasoner3-Merged

Omni Reasoner3 Merged Parameters and Internals

LLM Name	Omni Reasoner3 Merged
Repository 🤗	https://huggingface.co/prithivMLmods/Omni-Reasoner3-Merged
Base Model(s)	prithivMLmods/Llama-Doctor-3.2-3B-Instruct Codepy Deepthink 3B Llama Deepsync 3B prithivMLmods/Llama-Sentient-3.2-3B-Instruct prithivMLmods/Llama-Magpie-3.2-3B-Instruct prithivMLmods/Llama-Doctor-3.2-3B-Instruct prithivMLmods/Codepy-Deepthink-3B prithivMLmods/Llama-Deepsync-3B prithivMLmods/Llama-Sentient-3.2-3B-Instruct prithivMLmods/Llama-Magpie-3.2-3B-Instruct
Merged Model	Yes
Model Size	3b
Required VRAM	6.4 GB
Updated	2026-07-31
Maintainer	prithivMLmods
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.4 GB: 2-of-2
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Omni Reasoner3 Merged 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 Omni Reasoner3 Merged

Best Alternatives	Context / RAM	Downloads	Likes
Llama 3.2 3B Instruct	128K / 6.5 GB	1829572	2368
Llama 3.2 3B Instruct	128K / 6.5 GB	186207	96
Llama3.2 3B Manumit V1	128K / 6.4 GB	135	0
Llama 3.2 3B Instruct	128K / 6.5 GB	991	9
Alloma 3B Instruct	128K / 6.5 GB	55456	6
... V7 SFT 10voicebot Loopcleaned	128K / 6.5 GB	229	0
Llama 3.2 3B RP Toxic Fuse	128K / 6.4 GB	14	2
DeepSeek R1 Distill Llama 3B	128K / 6.5 GB	247	16
Schematron 3B	128K / 6.5 GB	969	336
ReasoningCore 3B T1 1	128K / 6.5 GB	8	1

Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Omni-Reasoner3-Merged.