What are the hardware requirements for Lissa 1.5B Base?

Lissa 1.5B Base requires approximately 2.9 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Lissa 1.5B Base and how large is it?

Lissa 1.5B Base is developed by CastIronMind, a model with 1.5b 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 Lissa 1.5B Base?

Lissa 1.5B Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Lissa 1.5B Base by CastIronMind — VRAM 2.9GB, 16K context

Name: Lissa 1.5B Base
Author: CastIronMind

Lissa 1.5B Base is an open-source language model by CastIronMind. Features: 1.5b LLM, VRAM: 2.9GB, Context: 16K, License: apache-2.0, LLM Explorer Score: 0.3.

Base Base-model Conversational Creative-writing En Endpoints compatible Fanfiction Flash-linear-attention From-scratch Grouped-query-attention Hybrid-attention Kda Linear-attention My-little-pony Region:us Roleplay Ru Safetensors

Model Card on HF 🤗: https://huggingface.co/CastIronMind/Lissa-1.5B-Base

Lissa 1.5B Base Parameters and Internals

LLM Name	Lissa 1.5B Base
Repository 🤗	https://huggingface.co/CastIronMind/Lissa-1.5B-Base
Model Size	1.5b
Required VRAM	2.9 GB
Updated	2026-10-26
Maintainer	CastIronMind
Model Type	kda
Model Files	2.9 GB
Supported Languages	en ru
Model Architecture	AutoModel
License	apache-2.0
Context Length	16384
Model Max Length	16384
Transformers Version	5.16.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<eos>
Vocabulary Size	32768

Rank the Lissa 1.5B Base capabilities

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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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