What are the hardware requirements for Xyntetik Kvist 14B?

Xyntetik Kvist 14B requires approximately 3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Xyntetik Kvist 14B and how large is it?

Xyntetik Kvist 14B is developed by Joakimpalm-Zen, a model with 30b 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 Xyntetik Kvist 14B?

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

Xyntetik Kvist 14B by Joakimpalm-Zen — VRAM 3GB

Name: Xyntetik Kvist 14B
Author: Joakimpalm-Zen

Xyntetik Kvist 14B is an open-source language model by Joakimpalm-Zen. Features: 30b LLM, VRAM: 3GB, License: apache-2.0, LLM Explorer Score: 0.35.

Arxiv:2408.11796 Arxiv:2602.01997 Agentic Base model:finetune:meta-model... Base model:meta-models/muse-gl... Conversational Dataset:allenai/tulu-3-sft-mix... Dataset:huggingfacetb/smoltalk Dataset:joakimpalm-zen/xynteti... Dataset:salesforce/wikitext Distillation Gguf Muse-glimmer Muse glimmer Preregistered Region:us Safetensors Tool-calling Width-pruning Xyntetik-kvist Xyntetik-runner

Model Card on HF 🤗: https://huggingface.co/Joakimpalm-Zen/Xyntetik-Kvist-14B

Xyntetik Kvist 14B Parameters and Internals

LLM Name	Xyntetik Kvist 14B
Repository 🤗	https://huggingface.co/Joakimpalm-Zen/Xyntetik-Kvist-14B
Base Model(s)	Muse Glimmer 30B meta-models/Muse-Glimmer-30B
Model Size	30b
Required VRAM	3 GB
Updated	2026-09-30
Maintainer	Joakimpalm-Zen
Model Type	muse_glimmer
Model Files	8.6 GB 8.6 GB 8.6 GB 3.0 GB
Model Architecture	MuseGlimmerForConditionalGeneration
License	apache-2.0
Model Max Length	131072
Transformers Version	5.15.0.dev0
Tokenizer Class	TokenizersBackend
Padding Token	<\|finetune_right_pad\|>

Rank the Xyntetik Kvist 14B 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 Xyntetik Kvist 14B

Best Alternatives	Context / RAM	Downloads	Likes
Muse Glimmer 30B	0K / 59.6 GB	0	1052
Muse Glimmer 30B	0K / 59.6 GB	25869	12
Muse Glimmer 30B FP8 Block	0K / 34.4 GB	19413	9
Muse Glimmer 30B NVFP4	0K / 23.4 GB	7245	16
Muse Glimmer 30B NVFP4 W4A4	0K / 12.1 GB	10907	3
Muse Glimmer 30B	0K / 59.6 GB	2967	0
Muse Glimmer 30B NVFP4	0K / 23.3 GB	1196	6
Muse Glimmer 30B Nvfp4	0K / 11.4 GB	1437	2
Muse Glimmer 30B JANG 6M	0K / 27.1 GB	915	2
...e Glimmer 30B MXFP8 Vision MLX	0K / 35.2 GB	912	1

Note: green Score (e.g. "73.2") means that the model is better than Joakimpalm-Zen/Xyntetik-Kvist-14B.