What are the hardware requirements for Ms3 Roselily Instruct?

Ms3 Roselily Instruct requires approximately 47.3 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 Ms3 Roselily Instruct and how large is it?

Ms3 Roselily Instruct is developed by ToastyPigeon, a model with 24b 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 Ms3 Roselily Instruct?

Ms3 Roselily Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ms3 Roselily Instruct by ToastyPigeon — VRAM 47.3GB, 32K context

Name: Ms3 Roselily Instruct
Author: ToastyPigeon

Ms3 Roselily Instruct is an open-source language model by ToastyPigeon. Features: 24b LLM, VRAM: 47.3GB, Context: 32K, License: apache-2.0, Instruction-Based, Merged, LLM Explorer Score: 0.17.

Merged Model Base model:finetune:mistralai/... Base model:mistralai/mistral-s... Dataset:allenai/tulu-3-sft-per... Dataset:pocketdoc/dans-systemm... Dataset:toastypigeon/roselily-... Dataset:zeuslabs/wizardlm evol... Instruct Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ToastyPigeon/ms3-roselily-instruct

Ms3 Roselily Instruct Parameters and Internals

LLM Name	Ms3 Roselily Instruct
Repository 🤗	https://huggingface.co/ToastyPigeon/ms3-roselily-instruct
Base Model(s)	Mistral Small 24B Base 2501 mistralai/Mistral-Small-24B-Base-2501
Merged Model	Yes
Model Size	24b
Required VRAM	47.3 GB
Updated	2026-06-26
Maintainer	ToastyPigeon
Model Type	mistral
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-10 4.8 GB: 2-of-10 4.8 GB: 3-of-10 4.9 GB: 4-of-10 4.8 GB: 5-of-10 4.8 GB: 6-of-10 4.9 GB: 7-of-10 4.8 GB: 8-of-10 4.8 GB: 9-of-10 3.8 GB: 10-of-10
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.49.0
Tokenizer Class	LlamaTokenizerFast
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Ms3 Roselily Instruct 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 Ms3 Roselily Instruct

Best Alternatives	Context / RAM	Downloads	Likes
...ral Nemo Instruct 24B Merge V1	1000K / 24.6 GB	9	0
...all 3.1 24B Instruct 2503 Text	128K / 47.3 GB	16	0
Cydonia 24B V4.3	128K / 47.3 GB	3652	138
Slimaki 24B V1.2	128K / 47.3 GB	28	6
Neural V1 24B	128K / 47.3 GB	9	3
MS3.2 PaintedFantasy V4.1 24B	128K / 47.3 GB	80	18
Cydonia 24B V4.1	128K / 47.3 GB	2162	80
Slimaki 24B V1	128K / 47.3 GB	15	10
Asmodeus 24B V1	128K / 47.3 GB	37	13
MS3.2 PaintedFantasy V3 24B	128K / 47.3 GB	28	35

Note: green Score (e.g. "73.2") means that the model is better than ToastyPigeon/ms3-roselily-instruct.