What are the hardware requirements for SJT 7.5B?

SJT 7.5B requires approximately 14.2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed SJT 7.5B and how large is it?

SJT 7.5B is developed by Sakalti, a model with 7b 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 SJT 7.5B?

SJT 7.5B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

SJT 7.5B by Sakalti — VRAM 14.2GB, 32K context

Name: SJT 7.5B
Author: Sakalti

SJT 7.5B is an open-source language model by Sakalti. Features: 7b LLM, VRAM: 14.2GB, Context: 32K, Merged, LLM Explorer Score: 0.24.

Merged Model Base model:finetune:prithivmlm... Base model:prithivmlmods/tauru... Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Sakalti/SJT-7.5B

SJT 7.5B Parameters and Internals

LLM Name	SJT 7.5B
Repository 🤗	https://huggingface.co/Sakalti/SJT-7.5B
Base Model(s)	Taurus Opus 7B prithivMLmods/Taurus-Opus-7B
Merged Model	Yes
Model Size	7b
Required VRAM	14.2 GB
Updated	2026-07-28
Maintainer	Sakalti
Model Type	llama
Model Files	0.8 GB: 1-of-16 0.9 GB: 2-of-16 0.9 GB: 3-of-16 0.9 GB: 4-of-16 0.9 GB: 5-of-16 0.9 GB: 6-of-16 0.9 GB: 7-of-16 0.9 GB: 8-of-16 0.9 GB: 9-of-16 0.9 GB: 10-of-16 0.9 GB: 11-of-16 0.9 GB: 12-of-16 0.9 GB: 13-of-16 0.9 GB: 14-of-16 0.9 GB: 15-of-16 0.8 GB: 16-of-16
Model Architecture	LlamaForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.46.3
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|pad\|>
Vocabulary Size	131072
Torch Data Type	float16

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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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