What are the hardware requirements for Holo4 27B FP8?

Holo4 27B FP8 requires approximately 35.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Holo4 27B FP8 and how large is it?

Holo4 27B FP8 is developed by Hcompany, a model with 27b 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 Holo4 27B FP8?

Holo4 27B FP8 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Holo4 27B FP8 by Hcompany — VRAM 35.7GB

Name: Holo4 27B FP8
Author: Hcompany

Holo4 27B FP8 is an open-source language model by Hcompany. Features: 27b LLM, VRAM: 35.7GB, License: cc-by-nc-4.0, LLM Explorer Score: 0.33.

Agent Base model:hcompany/holo4-27b Base model:quantized:hcompany/... Compressed-tensors Computer-use Conversational Endpoints compatible Image-text-to-text Multimodal Qwen3 5 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Hcompany/Holo4-27B-FP8

Holo4 27B FP8 Parameters and Internals

LLM Name	Holo4 27B FP8
Repository 🤗	https://huggingface.co/Hcompany/Holo4-27B-FP8
Base Model(s)	Holo4 27B Hcompany/Holo4-27B
Model Size	27b
Required VRAM	35.7 GB
Updated	2026-10-01
Maintainer	Hcompany
Model Type	qwen3_5
Model Files	2.8 GB: 1-of-18 1.9 GB: 2-of-18 2.5 GB: 3-of-18 2.5 GB: 4-of-18 1.3 GB: 5-of-18 2.5 GB: 6-of-18 1.2 GB: 7-of-18 2.5 GB: 8-of-18 1.2 GB: 9-of-18 2.5 GB: 10-of-18 1.2 GB: 11-of-18 2.5 GB: 12-of-18 1.2 GB: 13-of-18 2.5 GB: 14-of-18 1.2 GB: 15-of-18 2.5 GB: 16-of-18 1.2 GB: 17-of-18 2.5 GB: 18-of-18
Model Architecture	Qwen3_5ForConditionalGeneration
License	cc-by-nc-4.0
Model Max Length	262144
Transformers Version	5.6.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Holo4 27B FP8 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 Holo4 27B FP8

Best Alternatives	Context / RAM	Downloads	Likes
...wopus3.8 27B Flash Mlx OQ4e 1M	1024K / 16.9 GB	211	1
Agens Pilot	1024K / 54.7 GB	113	2
Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.8 27B	0K / 55.6 GB	2	8753
Qwen3.8 27B	0K / 55.6 GB	2727	21
Qwen3.8 27B FP8	0K / 0.4 GB	123157	416
Qwen3.8 27B MLX	0K / 16 GB	1411	18
Qwen3.6 27B NVFP4	0K / 22 GB	1887525	419
Qwen3.5 27B	0K / 55.2 GB	2536294	1028
Qwen3.6 27B FP8	0K / 0.4 GB	7740472	342

Note: green Score (e.g. "73.2") means that the model is better than Hcompany/Holo4-27B-FP8.