What are the hardware requirements for Firehouse Cactus 1.1?

Firehouse Cactus 1.1 requires approximately 15.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Firehouse Cactus 1.1 and how large is it?

Firehouse Cactus 1.1 is developed by Ironwood-LLM-Team, a model with 7.9b 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 Firehouse Cactus 1.1?

Firehouse Cactus 1.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Firehouse Cactus 1.1 by Ironwood-LLM-Team — VRAM 15.9GB

Name: Firehouse Cactus 1.1
Author: Ironwood-LLM-Team

Firehouse Cactus 1.1 is an open-source language model by Ironwood-LLM-Team. Features: 7.9b LLM, VRAM: 15.9GB, LLM Explorer Score: 0.26.

Gemma4 Mlx Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/Ironwood-LLM-Team/Firehouse-Cactus-1.1

Firehouse Cactus 1.1 Parameters and Internals

LLM Name	Firehouse Cactus 1.1
Repository 🤗	https://huggingface.co/Ironwood-LLM-Team/Firehouse-Cactus-1.1
Model Size	7.9b
Required VRAM	15.9 GB
Updated	2026-10-19
Maintainer	Ironwood-LLM-Team
Model Type	gemma4
Model Files	5.4 GB: 1-of-4 3.9 GB: 2-of-4 5.6 GB: 3-of-4 1.0 GB: 4-of-4
Model Architecture	Gemma4ForConditionalGeneration
Model Max Length	131072
Transformers Version	5.5.0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Firehouse Cactus 1.1 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 Firehouse Cactus 1.1

Best Alternatives	Context / RAM	Downloads	Likes
Basal Omni 1.0 Mini	0K / 15.9 GB	1094	3
Baihua Gemma4 E4B	0K / 15.9 GB	135	3
Kitsune Tales E4B EN	0K / 15.9 GB	298	1
Kitsune Tales E4B JP	0K / 15.9 GB	289	1
Firehouse Cactus 1.0	0K / 15.9 GB	736	0
ContextPilot E4B	0K / 15.9 GB	404	5
Gemma 4 E4B It NVFP4A16	0K / 10.3 GB	31	1
Gemma 4 E4B It NVFP4	0K / 10.3 GB	31	1
Quatfit Mini	0K / 31.8 GB	1074	7
Gemma4 Merged K8s	0K / 15.9 GB	148	0

Note: green Score (e.g. "73.2") means that the model is better than Ironwood-LLM-Team/Firehouse-Cactus-1.1.