What are the hardware requirements for SJT 14B?

SJT 14B requires approximately 29.7 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 SJT 14B and how large is it?

SJT 14B is developed by Sakalti, a model with 14b 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 14B?

SJT 14B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

SJT 14B by Sakalti — VRAM 29.7GB, 128K context

Name: SJT 14B
Author: Sakalti

SJT 14B is an open-source language model by Sakalti. Features: 14b LLM, VRAM: 29.7GB, Context: 128K, License: apache-2.0, Merged, LLM Explorer Score: 0.27.

Merged Model Arxiv:2306.01708 Base model:djuna/q2.5-veltha-1... Base model:finetune:djuna/q2.5... Conversational En Endpoints compatible Ja Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Sakalti/SJT-14B

SJT 14B Parameters and Internals

LLM Name	SJT 14B
Repository 🤗	https://huggingface.co/Sakalti/SJT-14B
Base Model(s)	djuna/Q2.5-Veltha-14B QwenSlerp2 14B djuna/Q2.5-Veltha-14B hotmailuser/QwenSlerp2-14B
Merged Model	Yes
Model Size	14b
Required VRAM	29.7 GB
Updated	2026-08-04
Maintainer	Sakalti
Model Type	qwen2
Model Files	4.9 GB: 1-of-6 5.0 GB: 2-of-6 5.0 GB: 3-of-6 5.0 GB: 4-of-6 5.0 GB: 5-of-6 4.8 GB: 6-of-6
Supported Languages	ja en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151665
Torch Data Type	float16
Errors	replace

Rank the SJT 14B 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 SJT 14B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 14B Instruct 1M	986K / 29.6 GB	10388	342
T3Q Qwen2.5 14B V1.0 E3	986K / 29.7 GB	852	28
ZYH LLM Qwen2.5 14B V4	986K / 29.7 GB	27	8
Qwen2.5 14B 1M YOYO V3	986K / 29.7 GB	254	4
Qwen2.5 14B YOYO V4	986K / 29.7 GB	20	5
Qwen2.5 14B YOYO Latest V2	986K / 29.7 GB	129	0
ZYH LLM Qwen2.5 14B V3	986K / 29.7 GB	23	8
...14B Instruct 1M GRPO Reasoning	986K / 29.7 GB	11	4
Etr1o V1.2	986K / 29.7 GB	11	0
Impish QWEN 14B 1M	986K / 29.7 GB	56	26

Note: green Score (e.g. "73.2") means that the model is better than Sakalti/SJT-14B.