What are the hardware requirements for Ling Lite Base 1.5?

Ling Lite Base 1.5 requires approximately 25.2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ling Lite Base 1.5 and how large is it?

Ling Lite Base 1.5 is developed by inclusionAI, a model with 16.8b 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 Ling Lite Base 1.5?

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

Ling Lite Base 1.5 by inclusionAI — VRAM 25.2GB, 32K context

Name: Ling Lite Base 1.5
Author: inclusionAI

Ling Lite Base 1.5 is an open-source language model by inclusionAI. Features: 16.8b LLM, VRAM: 25.2GB, Context: 32K, License: mit, LLM Explorer Score: 0.18.

Arxiv:2503.05139 Bailing moe Conversational Custom code Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/inclusionAI/Ling-lite-base-1.5

Ling Lite Base 1.5 Parameters and Internals

LLM Name	Ling Lite Base 1.5
Repository 🤗	https://huggingface.co/inclusionAI/Ling-lite-base-1.5
Model Size	16.8b
Required VRAM	25.2 GB
Updated	2026-08-08
Maintainer	inclusionAI
Model Type	bailing_moe
Model Files	0.5 GB: 1-of-66 0.0 GB: 2-of-66 0.4 GB: 3-of-66 0.2 GB: 4-of-66 0.0 GB: 5-of-66 0.6 GB: 6-of-66 0.3 GB: 7-of-66 0.0 GB: 8-of-66 0.7 GB: 9-of-66 0.7 GB: 10-of-66 0.7 GB: 11-of-66 0.7 GB: 12-of-66 0.7 GB: 13-of-66 0.7 GB: 14-of-66 0.7 GB: 15-of-66 0.7 GB: 16-of-66 0.7 GB: 17-of-66 0.7 GB: 18-of-66 0.7 GB: 19-of-66 0.7 GB: 20-of-66 0.7 GB: 21-of-66 0.7 GB: 22-of-66 0.7 GB: 23-of-66 0.7 GB: 24-of-66 0.7 GB: 25-of-66 0.7 GB: 26-of-66 0.7 GB: 27-of-66 0.7 GB: 28-of-66 0.7 GB: 29-of-66 0.7 GB: 30-of-66 0.7 GB: 31-of-66 0.7 GB: 32-of-66 0.7 GB: 33-of-66 0.7 GB: 34-of-66 0.7 GB: 35-of-66 0.7 GB: 36-of-66 0.4 GB: 37-of-66 0.4 GB: 38-of-66 0.4 GB: 39-of-66 0.4 GB: 40-of-66 0.4 GB: 41-of-66 0.4 GB: 42-of-66 0.4 GB: 43-of-66 0.4 GB: 44-of-66 0.4 GB: 45-of-66
Model Architecture	BailingMoeForCausalLM
License	mit
Context Length	32768
Model Max Length	32768
Transformers Version	4.40.0
Vocabulary Size	126464
Torch Data Type	bfloat16

Rank the Ling Lite Base 1.5 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 Ling Lite Base 1.5

Best Alternatives	Context / RAM	Downloads	Likes
Ling Lite 1.5	32K / 33.6 GB	31348	57
Ling Lite 1.5 2507	32K / 33.6 GB	51	77
Ring Lite 2507	32K / 33.6 GB	32	60
Ling Lite 1.5 2506	32K / 33.6 GB	32	53
Ring Lite	32K / 24.4 GB	154	49
Ling Lite	32K / 24.8 GB	624	82
Ring Lite Distill Preview	16K / 33.6 GB	32	47
Ling Lite Base	16K / 33.6 GB	171	29
Ling Coder Lite	4K / 33.6 GB	93	53
Ling Coder Lite Base	4K / 33.6 GB	44	28

Note: green Score (e.g. "73.2") means that the model is better than inclusionAI/Ling-lite-base-1.5.