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

Zephyr 7B Sft Qlora requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Zephyr 7B Sft Qlora and how large is it?

Zephyr 7B Sft Qlora 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 Qlora perform on standard benchmarks?

Zephyr 7B Sft Qlora has the following published scores: MMLU 61.65. Compare against reference models on this page or on the LLM Explorer leaderboards.

Zephyr 7B Sft Qlora by alignment-handbook — VRAM 0.1GB

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

Zephyr 7B Sft Qlora is an open-source language model by alignment-handbook. Features: 7b LLM, VRAM: 0.1GB, License: apache-2.0, LLM Explorer Score: 0.11, Arc: 60.1, HellaSwag: 82.4, MMLU: 61.7, GSM8K: 34.3.

4-bit Adapter Alignment-handbook Base model:adapter:mistralai/m... Base model:mistralai/mistral-7... Bitsandbytes Dataset:huggingfaceh4/ultracha... Finetuned Generated from trainer Lora Mistral Peft Region:us Safetensors Sft Tensorboard Trl

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

Zephyr 7B Sft Qlora Parameters and Internals

Training Details

Data Sources:

HuggingFaceH4/ultrachat_200k

LLM Name	Zephyr 7B Sft Qlora
Repository 🤗	https://huggingface.co/alignment-handbook/zephyr-7b-sft-qlora
Base Model(s)	mistralai/Mistral-7B-v0.1 mistralai/Mistral-7B-v0.1
Model Size	7b
Required VRAM	0.1 GB
Updated	2026-08-03
Maintainer	alignment-handbook
Model Files	0.1 GB 0.0 GB
Model Architecture	Adapter
License	apache-2.0
Model Max Length	2048
Is Biased	none
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|v_proj\|down_proj\|up_proj\|gate_proj\|o_proj\|k_proj
LoRA Alpha	16
LoRA Dropout	0.05
R Param	16

Rank the Zephyr 7B Sft Qlora 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 alignment-handbook/zephyr-7b-sft-qlora.