What are the hardware requirements for Zephyr Sft Bnb 4bit?

Zephyr Sft Bnb 4bit requires approximately 4.1 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 Sft Bnb 4bit and how large is it?

Zephyr Sft Bnb 4bit is developed by unsloth, a model with 7.5b 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 Sft Bnb 4bit?

Zephyr Sft Bnb 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Zephyr Sft Bnb 4bit by unsloth — VRAM 4.1GB, 32K context

Name: Zephyr Sft Bnb 4bit
Author: unsloth

Zephyr Sft Bnb 4bit is an open-source language model by unsloth. Features: 7.5b LLM, VRAM: 4.1GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.14.

4-bit 4bit Bitsandbytes Bnb Conversational En Endpoints compatible Mistral Mistral-7b Quantized Region:us Safetensors Sft Unsloth Zephyr

Model Card on HF 🤗: https://huggingface.co/unsloth/zephyr-sft-bnb-4bit

Zephyr Sft Bnb 4bit Benchmarks

LLME Score: 0.13855

^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 Sft Bnb 4bit (unsloth/zephyr-sft-bnb-4bit)

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Zephyr Sft Bnb 4bit Parameters and Internals

Model Type

transformers

Use Cases

Areas:

research, commercial applications

Applications:

finetuning for various domains

Primary Use Cases:

faster and memory efficient model finetuning

Additional Notes

Unsloth tool used for efficient finetuning.

LLM Name	Zephyr Sft Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/zephyr-sft-bnb-4bit
Model Size	7.5b
Required VRAM	4.1 GB
Updated	2026-06-30
Maintainer	unsloth
Model Type	mistral
Model Files	4.1 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.44.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Quantized Models of the Zephyr Sft Bnb 4bit

Model	Likes	Downloads	VRAM
...eZephir Sft Instruct Ead 16bit	0	56	14 GB
Zephq	0	18	4 GB
ToxicMist V0.2 7B DPO Gguf	1	8	4 GB
Zephq	0	0	4 GB

Best Alternatives to Zephyr Sft Bnb 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Mixtral AI SwahiliTron 4BIT	32K / 4.1 GB	8	0
Mcqa 4bit	32K / 4.1 GB	5	0
Mistral 4bit Bnb	32K / 4.1 GB	5	0
Zephyr DPO 4bit	32K / 4.1 GB	90	0
Rezephyr Merged 4bit	32K / 4.1 GB	65	0
ClimateChat	32K / 15 GB	11	2
Finchat298 Mistral7B FT 650	32K / 4.1 GB	7	0
Finchat298 Mistral7B FT3	32K / 4.1 GB	7	0
...iceday Finetune Articles V4 V3	32K / 4.7 GB	7	0
Technical Analysis Unsloth V3	32K / 4.1 GB	5	3

Note: green Score (e.g. "73.2") means that the model is better than unsloth/zephyr-sft-bnb-4bit.

Rank the Zephyr Sft Bnb 4bit 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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Release v20260328a

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Zephyr Sft Bnb 4bit by unsloth