What are the hardware requirements for Ghost V5 Ultra 8B?

Ghost V5 Ultra 8B requires approximately 14.5 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 Ghost V5 Ultra 8B and how large is it?

Ghost V5 Ultra 8B is developed by ghost4280, 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 Ghost V5 Ultra 8B?

Ghost V5 Ultra 8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ghost V5 Ultra 8B by ghost4280 — VRAM 14.5GB, 32K context

Name: Ghost V5 Ultra 8B
Author: ghost4280

Ghost V5 Ultra 8B is an open-source language model by ghost4280. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, Instruction-Based, Merged, LLM Explorer Score: 0.23.

Merged Model Base model:dphn/dolphin-2.2.1-... Base model:mistralai/mistral-7... Conversational Endpoints compatible Instruct Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ghost4280/Ghost-V5-Ultra-8B

Ghost V5 Ultra 8B Parameters and Internals

LLM Name	Ghost V5 Ultra 8B
Repository 🤗	https://huggingface.co/ghost4280/Ghost-V5-Ultra-8B
Base Model(s)	cognitivecomputations/dolphin-2.2.1-mistral-7b mistralai/Mistral-7B-Instruct-v0.2 cognitivecomputations/dolphin-2.2.1-mistral-7b mistralai/Mistral-7B-Instruct-v0.2
Merged Model	Yes
Model Size	7b
Required VRAM	14.5 GB
Updated	2026-08-04
Maintainer	ghost4280
Model Type	mistral
Instruction-Based	Yes
Model Files	1.0 GB: 1-of-15 1.0 GB: 2-of-15 1.0 GB: 3-of-15 1.0 GB: 4-of-15 0.9 GB: 5-of-15 1.0 GB: 6-of-15 1.0 GB: 7-of-15 1.0 GB: 8-of-15 0.9 GB: 9-of-15 1.0 GB: 10-of-15 1.0 GB: 11-of-15 1.0 GB: 12-of-15 0.9 GB: 13-of-15 1.0 GB: 14-of-15 0.8 GB: 15-of-15
Model Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.48.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Ghost V5 Ultra 8B 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

Best Alternatives to Ghost V5 Ultra 8B

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
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
... Summarize 64K QLoRANET Merged	128K / 4.1 GB	11	0
...1 Summarize 64K LoRANET Merged	128K / 14.4 GB	11	0
Mistral 7B Instruct V0.2	32K / 14.4 GB	1115337	3184
Mistral 7B Instruct V0.1	32K / 14.4 GB	253629	1846
Mistral 7B Instruct V0.2	32K / 14.4 GB	1338	0
Mixtral AI CyberCoder	32K / 14.3 GB	0	0

Note: green Score (e.g. "73.2") means that the model is better than ghost4280/Ghost-V5-Ultra-8B.