What are the hardware requirements for SZA 14B Sce?

SZA 14B Sce requires approximately 29.5 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed SZA 14B Sce and how large is it?

SZA 14B Sce is developed by Quazim0t0, 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 SZA 14B Sce?

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

SZA 14B Sce by Quazim0t0 — VRAM 29.5GB, 16K context

Name: SZA 14B Sce
Author: Quazim0t0

SZA 14B Sce is an open-source language model by Quazim0t0. Features: 14b LLM, VRAM: 29.5GB, Context: 16K, Merged, LLM Explorer Score: 0.28.

Merged Model Llama Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Quazim0t0/SZA-14B-sce

SZA 14B Sce Parameters and Internals

LLM Name	SZA 14B Sce
Repository 🤗	https://huggingface.co/Quazim0t0/SZA-14B-sce
Merged Model	Yes
Model Size	14b
Required VRAM	29.5 GB
Updated	2025-03-09
Maintainer	Quazim0t0
Model Type	llama
Model Files	5.0 GB: 1-of-6 5.0 GB: 2-of-6 5.0 GB: 3-of-6 4.9 GB: 4-of-6 5.0 GB: 5-of-6 4.6 GB: 6-of-6
Model Architecture	LlamaForCausalLM
Context Length	16384
Model Max Length	16384
Transformers Version	4.47.1
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|dummy_87\|>
Vocabulary Size	100352
Torch Data Type	bfloat16

Rank the SZA 14B Sce 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 SZA 14B Sce

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...struct 2512 Llamafied TextOnly	256K / 27 GB	9	3
...Qwen2.5llamaify 14B V23.3 200K	195K / 29.7 GB	10	5
...Qwen2.5llamaify 14B V23.1 200K	195K / 29.7 GB	15	1
GeM2 Llamion 14B LongChat	195K / 29 GB	7915	4
Openbuddy Zero 14B V22.3 32K	32K / 28 GB	8483	2
Phi4 14B R1	31K / 29.4 GB	12	0
Rune 14B	16K / 29.5 GB	45	1
Rosemary 14B	16K / 29.5 GB	57	0
Sake 20B	16K / 43.1 GB	22	0
Loke 14B Sce	16K / 29.5 GB	0	1

Note: green Score (e.g. "73.2") means that the model is better than Quazim0t0/SZA-14B-sce.