What are the hardware requirements for Omnim?

Omnim requires approximately 7.2 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 Omnim and how large is it?

Omnim is developed by bralynn, 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 Omnim?

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

Omnim by bralynn — VRAM 7.2GB, 128K context

Name: Omnim
Author: bralynn

Omnim is an open-source language model by bralynn. Features: 3b LLM, VRAM: 7.2GB, Context: 128K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.18.

Base model:finetune:huihui-ai/... Base model:huihui-ai/llama-3.2... Conversational En Endpoints compatible Instruct Llama Region:us Safetensors Sharded Sota Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/bralynn/omnim

Omnim Parameters and Internals

LLM Name	Omnim
Repository 🤗	https://huggingface.co/bralynn/omnim
Base Model(s)	huihui-ai/Llama-3.2-3B-Instruct-abliterated huihui-ai/Llama-3.2-3B-Instruct-abliterated
Model Size	3b
Required VRAM	7.2 GB
Updated	2026-07-23
Maintainer	bralynn
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 2.2 GB: 2-of-2
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.53.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Omnim 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 Omnim

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
...3B TechWriter Instruct Unsloth	128K / 6.5 GB	6005	1
...ini Math345 GroupB Llama32 End	128K / 6.5 GB	755	0
...ama 3.2 3B TechWriter Instruct	128K / 6.4 GB	226	0
Llama 3.2 3B Instruct	128K / 6.5 GB	991	9
HyLo Llama 6MLA22GDN 8K SFT	128K / 17.1 GB	42	1
Alloma 3B Instruct	128K / 6.5 GB	55456	6
Llama3.2 3B Manumit V1	128K / 6.4 GB	135	0
... V7 SFT 10voicebot Loopcleaned	128K / 6.5 GB	229	0

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