What are the hardware requirements for Zephyr 7B Alpha GGUF?

Zephyr 7B Alpha GGUF requires approximately 2.7 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Zephyr 7B Alpha GGUF and how large is it?

Zephyr 7B Alpha GGUF is developed by second-state, 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 Zephyr 7B Alpha GGUF?

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

Zephyr 7B Alpha GGUF by second-state — VRAM 2.7GB, 32K context

Name: Zephyr 7B Alpha GGUF
Author: second-state

Zephyr 7B Alpha GGUF is an open-source language model by second-state. Features: 7b LLM, VRAM: 2.7GB, Context: 32K, License: mit, Quantized, LLM Explorer Score: 0.1.

Base model:huggingfaceh4/zephy... Base model:quantized:huggingfa... Conversational Dataset:openbmb/ultrafeedback Dataset:stingning/ultrachat En Gguf Mistral Q2 Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/second-state/Zephyr-7B-Alpha-GGUF

Zephyr 7B Alpha GGUF Parameters and Internals

LLM Name	Zephyr 7B Alpha GGUF
Repository 🤗	https://huggingface.co/second-state/Zephyr-7B-Alpha-GGUF
Model Name	Zephyr 7B Alpha
Model Creator	Hugging Face H4
Base Model(s)	Zephyr 7B Alpha HuggingFaceH4/zephyr-7b-alpha
Model Size	7b
Required VRAM	2.7 GB
Updated	2026-07-28
Maintainer	second-state
Model Type	mistral
Model Files	2.7 GB 3.8 GB 3.5 GB 3.2 GB 4.1 GB 4.4 GB 4.1 GB 5.0 GB 5.1 GB 5.0 GB 5.9 GB 7.7 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Model Architecture	MistralForCausalLM
License	mit
Context Length	32768
Model Max Length	32768
Transformers Version	4.34.0
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Zephyr 7B Alpha 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

Best Alternatives to Zephyr 7B Alpha GGUF

Best Alternatives	Context / RAM	Downloads	Likes
MegaBeam Mistral 7B 300K Gguf	282K / 5 GB	35	3
MegaBeam Mistral 7B 300K Gguf	282K / 5 GB	34	3
Backrooms Mistral 7B 10e	32K / 14.5 GB	128	0
Mistral 7B Instruct V0.2.gguf	32K / 14.5 GB	17	3
Mistral 7B Instruct V0.2 GGUF	32K / 4.4 GB	26	2
...andle Mistral 7B Instruct V0.2	32K / 14.4 GB	70	0
...andle Dolphin 2.2.1 Mistral 7B	32K / 14.4 GB	108	0
Boptruth Agatha 7B	32K / 14.4 GB	129	0
Mahou 1.2a Mistral 7B	32K / 14.4 GB	33	7
Tamil Mistral 7B Instruct V0.1	32K / 14.8 GB	350	14

Note: green Score (e.g. "73.2") means that the model is better than second-state/Zephyr-7B-Alpha-GGUF.