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: 0.2.

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 Benchmarks

LLME Score: 0.19953

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

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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	2026-05-16
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

Best Alternatives to Omnim

Best Alternatives	Context / RAM	Downloads	Likes
Llama 3.2 3B Instruct	128K / 6.5 GB	2205212	2139
Llama 3.2 3B Instruct	128K / 6.5 GB	1298	9
DeepSeek R1 Distill Llama 3B	128K / 6.5 GB	339	16
Llama 3.2 3B RP Toxic Fuse	128K / 6.4 GB	3	2
Llama Email Fraud Detector	128K / 6.4 GB	24	0
ReasoningCore 3B T1 1	128K / 6.5 GB	6	1
... 3.2 3B Math Instruct RE1 ORPO	128K / 6.5 GB	48	0
Llama 3.2 3B Instruct	128K / 6.5 GB	232520	89
Zeitgeist 3B V1	128K / 6.5 GB	105	5
Llama 3.2 3B ToxicKod	128K / 6.4 GB	10	2

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

Rank the Omnim Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

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Release v20260328a

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Omnim by bralynn

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Omnim Benchmarks

Omnim Parameters and Internals

Best Alternatives to Omnim

Rank the Omnim Capabilities

What open-source LLMs or SLMs are you in search of? 53999 in total.