What are the hardware requirements for Saba1.5 Pro?

Saba1.5 Pro requires approximately 3.1 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 Saba1.5 Pro and how large is it?

Saba1.5 Pro is developed by Sakalti, a model with 1.5b 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 Saba1.5 Pro?

Saba1.5 Pro is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Saba1.5 Pro by Sakalti — VRAM 3.1GB, 128K context

Name: Saba1.5 Pro
Author: Sakalti

Saba1.5 Pro is an open-source language model by Sakalti. Features: 1.5b LLM, VRAM: 3.1GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.16.

Base model:finetune:sakalti/sa... Base model:sakalti/saba1.5-1.5... Conversational Dataset:huggingfaceh4/ultracha... Endpoints compatible Qwen2 Region:us Safetensors Sft Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/Sakalti/Saba1.5-Pro

Saba1.5 Pro Parameters and Internals

LLM Name	Saba1.5 Pro
Repository 🤗	https://huggingface.co/Sakalti/Saba1.5-Pro
Base Model(s)	Sakalti/Saba1.5-1.5B Sakalti/Saba1.5-1.5B
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2026-08-05
Maintainer	Sakalti
Model Type	qwen2
Model Files	3.1 GB
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Saba1.5 Pro 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 Saba1.5 Pro

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 1.5B 1.3M Stretched	1280K / 3.1 GB	11	0
ReaderLM V2	500K / 3.1 GB	35356	804
Reader Lm 1.5B	250K / 3.1 GB	385	608
DeepSeek R1 Distill Qwen 1.5B	128K / 3.5 GB	600051	1545
Ko R1 1.5B Preview	128K / 7.1 GB	8	9
Qwen2.5 1.5B	128K / 3.1 GB	863295	203
VibeThinker 1.5B	128K / 3.5 GB	3417	552
Merge Cord V1	128K / 3.1 GB	155	1
...FT Tulu3 Decontaminated Masked	128K / 3.1 GB	167	0
Qwen2 1.5B	128K / 3.1 GB	195380	102

Note: green Score (e.g. "73.2") means that the model is better than Sakalti/Saba1.5-Pro.