What are the hardware requirements for Linne Sprout 1 0?

Linne Sprout 1 0 requires approximately 16 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Linne Sprout 1 0 and how large is it?

Linne Sprout 1 0 is developed by PNPM244, a model with 8b 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 Linne Sprout 1 0?

Linne Sprout 1 0 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Linne Sprout 1 0 by PNPM244 — VRAM 16GB

Name: Linne Sprout 1 0
Author: PNPM244

Linne Sprout 1 0 is an open-source language model by PNPM244. Features: 8b LLM, VRAM: 16GB, License: apache-2.0, LLM Explorer Score: 0.28.

Agent-safety Base model:finetune:google/gem... Base model:google/gemma-4-e4b-... Calibrated Classification Conversational Decision-index Decision-model En Endpoints compatible Gemma4 Guard-model Image-text-to-text Jev Jev-decision Noncausal Region:us Safetensors Sharded Tensorflow Vi

Model Card on HF 🤗: https://huggingface.co/PNPM244/linne-sprout-1-0

Linne Sprout 1 0 Parameters and Internals

LLM Name	Linne Sprout 1 0
Repository 🤗	https://huggingface.co/PNPM244/linne-sprout-1-0
Base Model(s)	Gemma 4 E4B It google/gemma-4-E4B-it
Model Size	8b
Required VRAM	16 GB
Updated	2026-10-19
Maintainer	PNPM244
Model Type	gemma4
Model Files	0.6 GB: 1-of-13 1.3 GB: 2-of-13 5.6 GB: 3-of-13 0.9 GB: 4-of-13 0.9 GB: 5-of-13 0.9 GB: 6-of-13 0.9 GB: 7-of-13 0.9 GB: 8-of-13 0.8 GB: 9-of-13 0.9 GB: 10-of-13 0.8 GB: 11-of-13 0.9 GB: 12-of-13 0.6 GB: 13-of-13
Supported Languages	en vi
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Transformers Version	5.5.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Linne Sprout 1 0 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 Linne Sprout 1 0

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 E4B It	0K / 16 GB	6327995	1114
Gemma 4 E4B It	0K / 16 GB	229908	23
Gemma 4 E4B	0K / 16 GB	268109	386
Vishwamai Stage1	0K / 16 GB	472	0
Gemma 4 E4B It FP8 Dynamic	0K / 12 GB	31	1
Gemma4 E4B 8B Heretic Ultra	0K / 16 GB	98	0
Gemma E4B Mt B Split3	0K / 16 GB	98	0
Vishwamai Merged Gemma	0K / 16 GB	43	0
Gemma E4B Mt B Split2	0K / 16 GB	63	0
Gemma 4 E4b It Bf16	0K / 16 GB	2279	6

Note: green Score (e.g. "73.2") means that the model is better than PNPM244/linne-sprout-1-0.