What are the hardware requirements for SakalFusion 7B Alpha?

SakalFusion 7B Alpha requires approximately 15.2 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 SakalFusion 7B Alpha and how large is it?

SakalFusion 7B Alpha 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 SakalFusion 7B Alpha?

SakalFusion 7B Alpha is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

SakalFusion 7B Alpha by Sakalti — VRAM 15.2GB, 128K context

Name: SakalFusion 7B Alpha
Author: Sakalti

SakalFusion 7B Alpha is an open-source language model by Sakalti. Features: 7b LLM, VRAM: 15.2GB, Context: 128K, Merged, LLM Explorer Score: 0.25.

Merged Model Arxiv:2403.19522 Ar Base model:qwen/qwen2.5-7b Base model:rombodawg/rombos-ll... Bn Ceb Conversational Cs De En Endpoints compatible Es Fa Fr He Hi Id It Ja Km Ko Lo Ms My Nl Pl Pt Qwen2 Region:us Ru Safetensors Sharded Tensorflow Th Tl Tr Ur Vi Zh

Model Card on HF 🤗: https://huggingface.co/Sakalti/SakalFusion-7B-Alpha

SakalFusion 7B Alpha Parameters and Internals

LLM Name	SakalFusion 7B Alpha
Repository 🤗	https://huggingface.co/Sakalti/SakalFusion-7B-Alpha
Base Model(s)	AIDC-AI/marco-o1 Qwen/Qwen2.5-7B rombodawg/Rombos-LLM-V2.5-Qwen-7b AIDC-AI/marco-o1 Qwen/Qwen2.5-7B rombodawg/Rombos-LLM-V2.5-Qwen-7b
Merged Model	Yes
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-08-05
Maintainer	Sakalti
Model Type	qwen2
Model Files	5.0 GB: 1-of-4 4.9 GB: 2-of-4 5.0 GB: 3-of-4 0.3 GB: 4-of-4
Supported Languages	en zh fr es pt de it ru ja ko vi th ar fa he tr cs pl hi bn ur id ms lo my km tl nl
Model Architecture	Qwen2ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the SakalFusion 7B Alpha 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 SakalFusion 7B Alpha

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Preview	986K / 15.2 GB	10	0
Qwen2.5 7B Instruct 1M	986K / 15.4 GB	52534	373
Hush Qwen2.5 7B V1.2	986K / 15.2 GB	4	1
Hush Qwen2.5 7B V1.1	986K / 15.2 GB	5	1
Hush Qwen2.5 7B V1.4	986K / 15.2 GB	8	1
Hush Qwen2.5 7B Preview	986K / 15.2 GB	5	0
Hush Qwen2.5 7B V1.3	986K / 15.2 GB	10	2
Hush Qwen2.5 7B RP V1.4 1M	986K / 15.2 GB	10	2
Qwen 2.5 7B Exp Sce	986K / 15.2 GB	10	2
Qwen2.5 7B MixStock V0.1	986K / 15.2 GB	6	3

Note: green Score (e.g. "73.2") means that the model is better than Sakalti/SakalFusion-7B-Alpha.