What are the hardware requirements for Zephyr Quiklang 3B GGUF?

Zephyr Quiklang 3B GGUF requires approximately 1.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Zephyr Quiklang 3B GGUF and how large is it?

Zephyr Quiklang 3B GGUF is developed by TheBloke, a model with 3b 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 Zephyr Quiklang 3B GGUF?

Zephyr Quiklang 3B GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Zephyr Quiklang 3B GGUF by TheBloke — VRAM 1.2GB

Name: Zephyr Quiklang 3B GGUF
Author: TheBloke

Zephyr Quiklang 3B GGUF is an open-source language model by TheBloke. Features: 3b LLM, VRAM: 1.2GB, License: mit, Quantized, LLM Explorer Score: 0.11.

Causal lm Conversational Dataset:teknium/openhermes Dataset:unalignment/toxic-dpo-... Gguf Quantized Region:us Stablelm epoch

Model Card on HF 🤗: https://huggingface.co/TheBloke/zephyr-quiklang-3b-GGUF

Zephyr Quiklang 3B GGUF Parameters and Internals

Model Type

stablelm_epoch

Additional Notes

This model was quantised using GGUF format.

Training Details

Data Sources:

unalignment/toxic-dpo-v0.1, teknium/openhermes

Data Volume:

10000 samples

Context Length:

1024

Hardware Used:

1xA6000-48GB

Input Output

Input Format:

<|system|> {system_message}~~ <|user|> {prompt}~~ <|assistant|>

LLM Name	Zephyr Quiklang 3B GGUF
Repository 🤗	https://huggingface.co/TheBloke/zephyr-quiklang-3b-GGUF
Model Name	Zephyr Quiklang 3B
Model Creator	wbag
Base Model(s)	Zephyr Quiklang 3B Walmart-the-bag/zephyr-quiklang-3b
Model Size	3b
Required VRAM	1.2 GB
Updated	2026-07-15
Maintainer	TheBloke
Model Type	stablelm_epoch
Model Files	1.2 GB 1.5 GB 1.4 GB 1.2 GB 1.6 GB 1.7 GB 1.6 GB 1.9 GB 2.0 GB 1.9 GB 2.3 GB 3.0 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	mit

Rank the Zephyr Quiklang 3B GGUF 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

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/zephyr-quiklang-3b-GGUF.