What are the hardware requirements for Glitterfetti Merge C?

Glitterfetti Merge C requires approximately 29 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Glitterfetti Merge C and how large is it?

Glitterfetti Merge C is developed by ToastyPigeon, a model with 12b 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 Glitterfetti Merge C?

Glitterfetti Merge C is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Glitterfetti Merge C by ToastyPigeon — VRAM 29GB, 128K context

Name: Glitterfetti Merge C
Author: ToastyPigeon

Glitterfetti Merge C is an open-source language model by ToastyPigeon. Features: 12b LLM, VRAM: 29GB, Context: 128K, Merged, LLM Explorer Score: 0.17.

Merged Model Base model:allura-org/gemma-3-... Base model:toastypigeon/gemma-... Conversational Endpoints compatible Gemma3 text Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ToastyPigeon/glitterfetti-merge-C

Glitterfetti Merge C Parameters and Internals

LLM Name	Glitterfetti Merge C
Repository 🤗	https://huggingface.co/ToastyPigeon/glitterfetti-merge-C
Base Model(s)	Gemma 3 Confetti 12B Gemma 3 Glitter 12B ToastyPigeon/Gemma-3-Confetti-12B allura-org/Gemma-3-Glitter-12B
Merged Model	Yes
Model Size	12b
Required VRAM	29 GB
Updated	2026-07-28
Maintainer	ToastyPigeon
Model Type	gemma3_text
Model Files	5.0 GB: 1-of-6 5.0 GB: 2-of-6 5.0 GB: 3-of-6 4.9 GB: 4-of-6 5.0 GB: 5-of-6 4.1 GB: 6-of-6
Model Architecture	Gemma3ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.50.0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	262145
Torch Data Type	bfloat16

Rank the Glitterfetti Merge C 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 Glitterfetti Merge C

Best Alternatives	Context / RAM	Downloads	Likes
Erebus RP 12B Instruct 2608 V1	128K / 23.4 GB	10	0
GaMS3 12B Instruct	128K / 23.4 GB	4238	5
YanoljaNEXT Rosetta 12B 2510	128K / 25.4 GB	953	29
Typhoon2.1 Gemma3 12B	128K / 23.4 GB	1610	18
Nile Chat 12B	128K / 23.4 GB	657	14
Gemma 3 12B It Abliterated V2	128K / 47.2 GB	487	24
Typhoon2.1 Gemma3 12B	128K / 23.4 GB	677	19
Gemma 3 Coldbrew Test1	128K / 23.4 GB	9	0
Gemma 3 Glitter 12B	128K / 23.4 GB	139	7
Gemma 3 Starshine 12B Alt	128K / 23.4 GB	4	7

Note: green Score (e.g. "73.2") means that the model is better than ToastyPigeon/glitterfetti-merge-C.