What are the hardware requirements for Flourish 3M?

Flourish 3M requires a context window of 0.5K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Flourish 3M and how large is it?

Flourish 3M is developed by akanemind, a model with 3m 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 Flourish 3M?

Flourish 3M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Flourish 3M by akanemind — 0.5K context

Name: Flourish 3M
Author: akanemind

Flourish 3M is an open-source language model by akanemind. Features: 3m LLM, Context: 0.5K, License: mit, LLM Explorer Score: 0.31.

Dataset:deepvk/cultura ru edu Dataset:wikimedia/wikipedia Endpoints compatible From-scratch Qwen3 Region:us Ru Russian Safetensors Tiny-lm

Model Card on HF 🤗: https://huggingface.co/akanemind/Flourish-3M

Flourish 3M Parameters and Internals

LLM Name	Flourish 3M
Repository 🤗	https://huggingface.co/akanemind/Flourish-3M
Model Size	3m
Required VRAM	0 GB
Updated	2026-09-26
Maintainer	akanemind
Model Type	qwen3
Model Files	0.0 GB
Supported Languages	ru
Model Architecture	Qwen3ForCausalLM
License	mit
Context Length	512
Model Max Length	512
Transformers Version	5.17.0
Tokenizer Class	TokenizersBackend
Padding Token	<pad>
Vocabulary Size	8192

Rank the Flourish 3M 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

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Yejin Korean 3B V2 Sft	4K / 6.1 GB	286	0