What are the hardware requirements for Mamba Char Japanese 790M?

Mamba Char Japanese 790M requires approximately 2.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mamba Char Japanese 790M and how large is it?

Mamba Char Japanese 790M is developed by misdelivery, a model with 790m 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 Mamba Char Japanese 790M?

Mamba Char Japanese 790M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mamba Char Japanese 790M by misdelivery — VRAM 2.9GB

Name: Mamba Char Japanese 790M
Author: misdelivery

Mamba Char Japanese 790M is an open-source language model by misdelivery. Features: 790m LLM, VRAM: 2.9GB, LLM Explorer Score: 0.12.

Endpoints compatible Mamba Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/KantaHayashiAI/mamba-char-japanese-790m

Mamba Char Japanese 790M Parameters and Internals

LLM Name	Mamba Char Japanese 790M
Repository 🤗	https://huggingface.co/KantaHayashiAI/mamba-char-japanese-790m
Model Size	790m
Required VRAM	2.9 GB
Updated	2026-08-08
Maintainer	misdelivery
Model Type	mamba
Model Files	2.9 GB
Model Architecture	MambaForCausalLM
Transformers Version	4.41.0.dev0
Tokenizer Class	GPT2Tokenizer
Padding Token	[PAD]
Vocabulary Size	6000
Torch Data Type	float32
Errors	replace

Rank the Mamba Char Japanese 790M capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
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Code Generation
Multi-Language Support and Translation

Best Alternatives to Mamba Char Japanese 790M

Best Alternatives	Context / RAM	Downloads	Likes
Mamba 790M Hf	0K / 3.2 GB	3027	4
Mamba Char Japanese 790M	0K / 2.9 GB	0	4
Mamba 790M	0K / 3.2 GB	1	2
Mamba 790M Chat	0K / 0 GB	19	0

Note: green Score (e.g. "73.2") means that the model is better than KantaHayashiAI/mamba-char-japanese-790m.