What are the hardware requirements for L20 1B 20B Base?

L20 1B 20B Base requires approximately 4.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed L20 1B 20B Base and how large is it?

L20 1B 20B Base is developed by AliceYin, 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 L20 1B 20B Base?

L20 1B 20B Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

L20 1B 20B Base by AliceYin — VRAM 4.4GB

Name: L20 1B 20B Base
Author: AliceYin

L20 1B 20B Base is an open-source language model by AliceYin. Features: 1b LLM, VRAM: 4.4GB, LLM Explorer Score: 0.32.

En Endpoints compatible From-scratch Llama Nvidia-l20 Region:us Safetensors Sharded Single-gpu Tensorflow

Model Card on HF 🤗: https://huggingface.co/AliceYin/L20-1B-20B-Base

L20 1B 20B Base Parameters and Internals

LLM Name	L20 1B 20B Base
Repository 🤗	https://huggingface.co/AliceYin/L20-1B-20B-Base
Model Size	1b
Required VRAM	4.4 GB
Updated	2026-09-15
Maintainer	AliceYin
Model Files	1.6 GB: 1-of-3 1.6 GB: 2-of-3 1.2 GB: 3-of-3
Supported Languages	en
Model Architecture	AutoModelForCausalLM
Model Max Length	2048
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|padding\|>

Rank the L20 1B 20B 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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