What are the hardware requirements for Zephyr 7B Alpha?

Zephyr 7B Alpha requires approximately 14.4 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 and how large is it?

Zephyr 7B Alpha is developed by HuggingFaceH4, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Zephyr 7B Alpha perform on standard benchmarks?

Zephyr 7B Alpha has the following published scores: MMLU 61.39, LMSYS ELO 1126. Compare against reference models on this page or on the LLM Explorer leaderboards.

Zephyr 7B Alpha by HuggingFaceH4 — VRAM 14.4GB, 32K context

Name: Zephyr 7B Alpha
Author: HuggingFaceH4

Zephyr 7B Alpha is an open-source language model by HuggingFaceH4. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: mit, HF Score: 59.5, LLM Explorer Score: 0.34, ELO: 1126, Arc: 61, HellaSwag: 84, MMLU: 61.4, TruthfulQA: 57.9, WinoGrande: 78.6, GSM8K: 14.

Arxiv:2305.14233 Arxiv:2305.18290 Arxiv:2310.01377 Arxiv:2310.16944 Base model:finetune:mistralai/... Base model:mistralai/mistral-7... Conversational Dataset:openbmb/ultrafeedback Dataset:stingning/ultrachat En Endpoints compatible Generated from trainer Mistral Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/HuggingFaceH4/zephyr-7b-alpha

Zephyr 7B Alpha Benchmarks

LMSys ELO: 1126 vs 1272 (so35)^-11.5%

IFEval: 51.91 vs 88 (so35)^-41%

ARC: 61.01 vs 96.7 (so35)^-36.9%

HellaSwag: 84.04 vs 95.3 (gpt4)^-11.8%

MMLU: 61.39 vs 88.3 (so35)^-30.5%

TruthfulQA: 57.9 vs 59 (gpt4)^-1.9%

WinoGrande: 78.61 vs 87.5 (gpt4)^-10.2%

GSM8K: 14.03 vs 96.4 (so35)^-85.4%

MATH Lvl 5: 1.96

LLME Score: 0.34183

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Zephyr 7B Alpha (HuggingFaceH4/zephyr-7b-alpha)

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Zephyr 7B Alpha Parameters and Internals

Model Type

GPT-like, Text Generation

Use Cases

Areas:

Research, Commercial Applications

Primary Use Cases:

Chat Applications

Limitations:

Can produce problematic outputs when prompted

Considerations:

Model can be tested via demo link for chat capabilities.

Additional Notes

It can generate problematic text if prompted to do so.

Supported Languages

en (Primarily supported)

Training Details

Data Sources:

stingning/ultrachat, openbmb/UltraFeedback

Methodology:

Direct Preference Optimization (DPO)

Model Architecture:

GPT-like

Input Output

Input Format:

Uses tokenizer's chat template to format messages.

Accepted Modalities:

text

Output Format:

Text outputs in the style prompted (e.g., pirate style)

Performance Tips:

Ensure format is appropriate for intended style and content.

LLM Name	Zephyr 7B Alpha
Repository 🤗	https://huggingface.co/HuggingFaceH4/zephyr-7b-alpha
Base Model(s)	mistralai/Mistral-7B-v0.1 mistralai/Mistral-7B-v0.1
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-04-25
Maintainer	HuggingFaceH4
Model Type	mistral
Model Files	1.9 GB: 1-of-8 1.9 GB: 2-of-8 2.0 GB: 3-of-8 1.9 GB: 4-of-8 2.0 GB: 5-of-8 1.9 GB: 6-of-8 2.0 GB: 7-of-8 0.8 GB: 8-of-8 1.9 GB: 1-of-8 1.9 GB: 2-of-8 2.0 GB: 3-of-8 1.9 GB: 4-of-8 2.0 GB: 5-of-8 1.9 GB: 6-of-8 2.0 GB: 7-of-8 0.8 GB: 8-of-8 0.0 GB
Supported Languages	en
Model Architecture	MistralForCausalLM
License	mit
Context Length	32768
Model Max Length	32768
Transformers Version	4.34.0
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	bfloat16

Quantized Models of the Zephyr 7B Alpha

Model	Likes	Downloads	VRAM
Zephyr 7B Alpha GGUF	0	139	2 GB
Zephyr 7B Alpha GGUF	138	863	3 GB
Zephyr 7B Alpha GGUF	0	112	2 GB
Zephyr 7B Alpha AWQ	18	319	4 GB
Zephyr 7B Alpha GPTQ	26	26	4 GB

Best Alternatives to Zephyr 7B Alpha

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	254	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	11443	54
SpydazWeb AI HumanAI RP	512K / 14.4 GB	21	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
MegaBeam Mistral 7B 300K	282K / 14.4 GB	7968	16
Hebrew Mistral 7B 200K	256K / 30 GB	1316	15
Astral 256K 7B V2	250K / 14.4 GB	10	0
Astral 256K 7B	250K / 14.4 GB	5	0

Rank the Zephyr 7B Alpha Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Zephyr 7B Alpha by HuggingFaceH4