What are the hardware requirements for SakalFusion 7B Beta?

SakalFusion 7B Beta requires approximately 15.2 GB of VRAM and supports a context window of 986K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed SakalFusion 7B Beta and how large is it?

SakalFusion 7B Beta 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 Beta?

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

SakalFusion 7B Beta by Sakalti — VRAM 15.2GB, 986K context

Name: SakalFusion 7B Beta
Author: Sakalti

SakalFusion 7B Beta is an open-source language model by Sakalti. Features: 7b LLM, VRAM: 15.2GB, Context: 986K, Code Generating, Merged, LLM Explorer Score: 0.17.

Merged Model Arxiv:2306.01708 Base model:bunnycore/qwen2.5-7... Base model:qwen/qwen2.5-coder-... Base model:qwen/qwen2.5-math-7... Base model:sakalti/model-3 Codegen Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

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

SakalFusion 7B Beta Parameters and Internals

LLM Name	SakalFusion 7B Beta
Repository 🤗	https://huggingface.co/Sakalti/SakalFusion-7B-Beta
Base Model(s)	Qwen/Qwen2.5-Coder-7B-Instruct Qwen/Qwen2.5-Math-7B-Instruct Model 3 bunnycore/Qwen2.5-7B-RRP-1M Qwen/Qwen2.5-Coder-7B-Instruct Qwen/Qwen2.5-Math-7B-Instruct Sakalti/model-3 bunnycore/Qwen2.5-7B-RRP-1M
Merged Model	Yes
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-08-08
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
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
Context Length	1010000
Model Max Length	1010000
Transformers Version	4.48.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151665
Torch Data Type	float16
Errors	replace

Rank the SakalFusion 7B Beta 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

Best Alternatives to SakalFusion 7B Beta

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Rebase	986K / 15.2 GB	73	2
Qwen2.5 7B Rebase	986K / 15.2 GB	19	2
...R1 Distill Qwen MFANN Slerp 7B	128K / 15.2 GB	11	0
Qwen2.5 7B Coder Codeio Pp	128K / 15.2 GB	8	5
Qwen2.5 7B CySecButler V0.1	128K / 15.2 GB	9	3
CoT 2.5	128K / 15.2 GB	39	0
Mergekit Ties Uqhfast	128K / 15.2 GB	26	0
CoT 2.5	128K / 15.2 GB	26	0
StockQwen 2.5 7B	128K / 15.2 GB	69	6
Mergekit Ties Uqhfast	128K / 15.2 GB	13	0