What are the hardware requirements for Zephyr 7B Sft Full?

Zephyr 7B Sft Full 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 Sft Full and how large is it?

Zephyr 7B Sft Full is developed by alignment-handbook, 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 Sft Full perform on standard benchmarks?

Zephyr 7B Sft Full has the following published scores: MMLU 60.2. Compare against reference models on this page or on the LLM Explorer leaderboards.

Zephyr 7B Sft Full by alignment-handbook — VRAM 14.4GB, 32K context

Name: Zephyr 7B Sft Full
Author: alignment-handbook

Zephyr 7B Sft Full is an open-source language model by alignment-handbook. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.15, Arc: 58.1, HellaSwag: 80.8, MMLU: 60.2, GSM8K: 28.

Alignment-handbook Base model:finetune:mistralai/... Base model:mistralai/mistral-7... Conversational Dataset:huggingfaceh4/ultracha... Endpoints compatible Generated from trainer Mistral Region:us Safetensors Sft Sharded Tensorboard Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/alignment-handbook/zephyr-7b-sft-full

Zephyr 7B Sft Full Parameters and Internals

Training Details

Data Sources:

HuggingFaceH4/ultrachat_200k

Hardware Used:

multi-GPU

LLM Name	Zephyr 7B Sft Full
Repository 🤗	https://huggingface.co/alignment-handbook/zephyr-7b-sft-full
Base Model(s)	mistralai/Mistral-7B-v0.1 mistralai/Mistral-7B-v0.1
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-07-30
Maintainer	alignment-handbook
Model Type	mistral
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3 0.0 GB
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Zephyr 7B Sft Full 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

Quantized Models of the Zephyr 7B Sft Full

Model	Likes	Downloads	VRAM
Zephyr 7B Sft Full GGUF	0	214	2 GB
Notus 7B V1.8.0bpw H8 EXL2	2	5	7 GB

Best Alternatives to Zephyr 7B Sft Full

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8470	54
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	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	8018	17
Hebrew Mistral 7B 200K	256K / 30 GB	23	15
Astral 256K 7B	250K / 14.4 GB	9	0
Astral 256K 7B V2	250K / 14.4 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than alignment-handbook/zephyr-7b-sft-full.