What are the hardware requirements for Makandal Multiple V2?

Makandal Multiple V2 requires approximately 2 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 Makandal Multiple V2 and how large is it?

Makandal Multiple V2 is developed by jsbeaudry, a model with 1b 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 Makandal Multiple V2?

Makandal Multiple V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Makandal Multiple V2 by jsbeaudry — VRAM 2GB, 32K context

Name: Makandal Multiple V2
Author: jsbeaudry

Makandal Multiple V2 is an open-source language model by jsbeaudry. Features: 1b LLM, VRAM: 2GB, Context: 32K, License: gemma, LLM Explorer Score: 0.31.

Base model:finetune:google/gem... Base model:google/gemma-3-1b-i... Conversational Distillation En Endpoints compatible Es Fr Gemma3 Gemma3 text Haitian-creole Ht Kreyol Region:us Safetensors Tool-calling Voice-assistant

Model Card on HF 🤗: https://huggingface.co/jsbeaudry/makandal-multiple-v2

Makandal Multiple V2 Parameters and Internals

LLM Name	Makandal Multiple V2
Repository 🤗	https://huggingface.co/jsbeaudry/makandal-multiple-v2
Base Model(s)	Gemma 3 1B It google/gemma-3-1b-it
Model Size	1b
Required VRAM	2 GB
Updated	2026-10-08
Maintainer	jsbeaudry
Model Type	gemma3_text
Model Files	2.0 GB
Supported Languages	ht fr es en
Model Architecture	Gemma3ForCausalLM
License	gemma
Context Length	32768
Model Max Length	32768
Transformers Version	5.18.0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	262144

Rank the Makandal Multiple V2 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 Makandal Multiple V2

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 3 1B It	32K / 2 GB	86328	22
Gemma3 1B Sft Reasoning 2	32K / 2.6 GB	34	0
Gemma 3 1B Pt	32K / 2 GB	4215	6
Gemma 3 1B It	32K / 2 GB	3959168	1053
...mixed Olmo Posthoc Unmixed Sdf	32K / 2 GB	250	1
Waiter 1B	32K / 2 GB	373	1
...Gptmini Gemma 3 1B It Seed1010	32K / 2 GB	27	1
Model After Sft V2	32K / 2 GB	492	0
Ganda Gemma Fln Bridge	32K / 2 GB	584	0
Gemma 3 1B Pt	32K / 2 GB	75224	196

Note: green Score (e.g. "73.2") means that the model is better than jsbeaudry/makandal-multiple-v2.