What are the hardware requirements for Zephyr Sft Bnb 4bit DPO Mtbc 213steps?

Zephyr Sft Bnb 4bit DPO Mtbc 213steps 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 Sft Bnb 4bit DPO Mtbc 213steps and how large is it?

Zephyr Sft Bnb 4bit DPO Mtbc 213steps is developed by sonthenguyen, a model with 7.2b 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 DPO Mtbc 213steps?

Zephyr Sft Bnb 4bit DPO Mtbc 213steps 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 DPO Mtbc 213steps by sonthenguyen — VRAM 14.4GB, 32K context

Name: Zephyr Sft Bnb 4bit DPO Mtbc 213steps
Author: sonthenguyen

Zephyr Sft Bnb 4bit DPO Mtbc 213steps is an open-source language model by sonthenguyen. Features: 7.2b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.19.

4bit Conversational Endpoints compatible Mistral Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/sonthenguyen/zephyr-sft-bnb-4bit-DPO-mtbc-213steps

Zephyr Sft Bnb 4bit DPO Mtbc 213steps Parameters and Internals

Model Type

text-generation

Additional Notes

The model was trained 2x faster using Unsloth and Huggingface's TRL library.

Supported Languages

en (primary)

LLM Name	Zephyr Sft Bnb 4bit DPO Mtbc 213steps
Repository 🤗	https://huggingface.co/sonthenguyen/zephyr-sft-bnb-4bit-DPO-mtbc-213steps
Model Size	7.2b
Required VRAM	14.4 GB
Updated	2026-07-12
Maintainer	sonthenguyen
Model Type	mistral
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Quantization Type	4bit
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.45.1
Tokenizer Class	LlamaTokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Zephyr Sft Bnb 4bit DPO Mtbc 213steps capabilities

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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 sonthenguyen/zephyr-sft-bnb-4bit-DPO-mtbc-213steps.