What are the hardware requirements for Rank Zephyr 7B V1 Full?

Rank Zephyr 7B V1 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 Rank Zephyr 7B V1 Full and how large is it?

Rank Zephyr 7B V1 Full is developed by castorini, a model with 7b 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 Rank Zephyr 7B V1 Full?

Rank Zephyr 7B V1 Full is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Rank Zephyr 7B V1 Full by castorini — VRAM 14.4GB, 32K context

Name: Rank Zephyr 7B V1 Full
Author: castorini

Rank Zephyr 7B V1 Full is an open-source language model by castorini. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: mit, LLM Explorer Score: 0.13.

Arxiv:2312.02724 Base model:finetune:mistralai/... Base model:mistralai/mistral-7... Conversational En Endpoints compatible Generated from trainer Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/castorini/rank_zephyr_7b_v1_full

Rank Zephyr 7B V1 Full Parameters and Internals

Model Type

GPT-like model, listwise reranking

Supported Languages

en (primary)

LLM Name	Rank Zephyr 7b V1 Full
Repository 🤗	https://huggingface.co/castorini/rank_zephyr_7b_v1_full
Base Model(s)	mistralai/Mistral-7B-v0.1 mistralai/Mistral-7B-v0.1
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-08-06
Maintainer	castorini
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
Supported Languages	en
Model Architecture	MistralForCausalLM
License	mit
Context Length	32768
Model Max Length	32768
Transformers Version	4.35.1
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Rank Zephyr 7B V1 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 Rank Zephyr 7B V1 Full

Model	Likes	Downloads	VRAM
Rank Zephyr 7b V1 Full GGUF	6	577	2 GB

Best Alternatives to Rank Zephyr 7B V1 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 castorini/rank_zephyr_7b_v1_full.