What are the hardware requirements for Kintu 2.0 30M?

Kintu 2.0 30M requires approximately 0.1 GB of VRAM and supports a context window of 0.5K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Kintu 2.0 30M and how large is it?

Kintu 2.0 30M is developed by henryhale, a model with 30m 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 Kintu 2.0 30M?

Kintu 2.0 30M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Kintu 2.0 30M by henryhale — VRAM 0.1GB, 0.5K context

Name: Kintu 2.0 30M
Author: henryhale

Kintu 2.0 30M is an open-source language model by henryhale. Features: 30m LLM, VRAM: 0.1GB, Context: 0.5K, License: apache-2.0.

Base model:finetune:henryhale/... Base model:henryhale/kintu-2.0... Conversational Dataset:henryhale/luganda-lima Dataset:henryhale/luganda-sft-... Endpoints compatible Kintu Lg Luganda Minimind Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/henryhale/Kintu-2.0-30M

Kintu 2.0 30M Parameters and Internals

LLM Name	Kintu 2.0 30M
Repository 🤗	https://huggingface.co/henryhale/Kintu-2.0-30M
Base Model(s)	henryhale/Kintu-2.0-30M-Base henryhale/Kintu-2.0-30M-Base
Model Size	30m
Required VRAM	0.1 GB
Updated	2026-11-06
Maintainer	henryhale
Model Type	qwen3
Model Files	0.1 GB
Supported Languages	lg
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	512
Model Max Length	512
Transformers Version	5.22.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|endoftext\|>
Vocabulary Size	6400

Rank the Kintu 2.0 30M 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 Kintu 2.0 30M

Best Alternatives	Context / RAM	Downloads	Likes
...4b Onpolicy 5k Src30k 35k Cont	256K / 17.6 GB	430	0
...licy 5k Src20k 25k Freeze Rock	256K / 8.9 GB	8	0
...n3 30b A3b To 4b Offpolicy 20k	256K / 17.6 GB	9	0
Qwen3 1.7B Distilled 30B A3B	40K / 4.1 GB	3953	2
Qwen3 30B A3B FP4	40K / 20.7 GB	1201	1
Feng 30M	32K / 0.1 GB	1764	1
Kintu 2.0 30M Base	0.5K / 0.1 GB	13	0

Note: green Score (e.g. "73.2") means that the model is better than henryhale/Kintu-2.0-30M.