What are the hardware requirements for Transcendent Logic Model?

Transcendent Logic Model requires approximately 5.1 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Transcendent Logic Model and how large is it?

Transcendent Logic Model is developed by BosonicJustin, a model with 1.3b 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 Transcendent Logic Model?

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

Transcendent Logic Model by BosonicJustin — VRAM 5.1GB, 4K context

Name: Transcendent Logic Model
Author: BosonicJustin

Transcendent Logic Model is an open-source language model by BosonicJustin. Features: 1.3b LLM, VRAM: 5.1GB, Context: 4K, LLM Explorer Score: 0.32.

Code Dataset:huggingfacecode/stack-... Dataset:huggingfacefw/fineweb-... Dataset:wikimedia/wikipedia Endpoints compatible Llama Pretrained Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/BosonicJustin/transcendent-logic-model

Transcendent Logic Model Parameters and Internals

LLM Name	Transcendent Logic Model
Repository 🤗	https://huggingface.co/BosonicJustin/transcendent-logic-model
Model Size	1.3b
Required VRAM	5.1 GB
Updated	2026-09-07
Maintainer	BosonicJustin
Model Type	llama
Model Files	4.7 GB: 1-of-2 0.4 GB: 2-of-2
Model Architecture	LlamaForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.45.2
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	49152
Torch Data Type	float32

Rank the Transcendent Logic Model capabilities

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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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