What are the hardware requirements for Ling 3.0 Flash Fin Int4?

Ling 3.0 Flash Fin Int4 requires approximately 58.6 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ling 3.0 Flash Fin Int4 and how large is it?

Ling 3.0 Flash Fin Int4 is developed by inclusionAI, a model with 127.5b 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 Ling 3.0 Flash Fin Int4?

Ling 3.0 Flash Fin Int4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ling 3.0 Flash Fin Int4 by inclusionAI — VRAM 58.6GB, 256K context

Name: Ling 3.0 Flash Fin Int4
Author: inclusionAI

Ling 3.0 Flash Fin Int4 is an open-source language model by inclusionAI. Features: 127.5b LLM, VRAM: 58.6GB, Context: 256K, License: mit, LLM Explorer Score: 0.25.

Agents Bailing hybrid Base model:inclusionai/ling-3.... Base model:quantized:inclusion... Compressed-tensors Conversational Custom code Finance Financial-research Long-context Mixture-of-experts Region:us Safetensors Sharded Tensorflow Tool-use

Model Card on HF 🤗: https://huggingface.co/inclusionAI/Ling-3.0-flash-Fin-int4

Ling 3.0 Flash Fin Int4 Parameters and Internals

LLM Name	Ling 3.0 Flash Fin Int4
Repository 🤗	https://huggingface.co/inclusionAI/Ling-3.0-flash-Fin-int4
Base Model(s)	inclusionAI/Ling-3.0-flash inclusionAI/Ling-3.0-flash
Model Size	127.5b
Required VRAM	58.6 GB
Updated	2026-09-15
Maintainer	inclusionAI
Model Type	bailing_hybrid
Model Files	2.3 GB: 0-of-64 0.6 GB: 1-of-64 0.6 GB: 2-of-64 0.6 GB: 3-of-64 0.6 GB: 4-of-64 0.6 GB: 5-of-64 0.6 GB: 6-of-64 0.6 GB: 7-of-64 2.1 GB: 8-of-64 1.3 GB: 9-of-64 1.3 GB: 10-of-64 1.3 GB: 11-of-64 1.3 GB: 12-of-64 1.3 GB: 13-of-64 1.3 GB: 14-of-64 1.3 GB: 15-of-64 2.1 GB: 16-of-64 1.3 GB: 17-of-64 1.3 GB: 18-of-64 1.3 GB: 19-of-64 1.3 GB: 20-of-64 1.3 GB: 21-of-64 1.3 GB: 22-of-64 1.3 GB: 23-of-64 2.1 GB: 24-of-64 1.3 GB: 25-of-64 1.3 GB: 26-of-64 1.3 GB: 27-of-64 1.3 GB: 28-of-64 1.3 GB: 29-of-64 1.3 GB: 30-of-64 1.3 GB: 31-of-64 2.1 GB: 32-of-64 1.3 GB: 33-of-64 1.3 GB: 34-of-64 1.3 GB: 35-of-64 1.3 GB: 36-of-64 1.3 GB: 37-of-64 1.3 GB: 38-of-64 1.3 GB: 39-of-64 2.1 GB: 40-of-64 1.3 GB: 41-of-64 1.3 GB: 42-of-64 1.3 GB: 43-of-64 1.3 GB: 44-of-64
Model Architecture	BailingMoeV3ForCausalLM
License	mit
Context Length	262144
Model Max Length	262144
Transformers Version	4.45.0
Vocabulary Size	157184
Torch Data Type	bfloat16

Rank the Ling 3.0 Flash Fin Int4 capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
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Text Summarization and Feature Extraction
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Multi-Language Support and Translation

Best Alternatives to Ling 3.0 Flash Fin Int4

Best Alternatives	Context / RAM	Downloads	Likes
Ling 3.0 Flash	256K / 254.5 GB	4189	213
Ling 3.0 Flash Int4	256K / 77.6 GB	1969	9
Ling 3.0 Flash Sante	256K / 254.5 GB	441	59
Ling 3.0 Flash Fin	256K / 186 GB	342	59
Ling 3.0 Flash Sante Fp8	256K / 128.9 GB	50	2
Ling 3.0 Flash Fp8	256K / 129.3 GB	1395	26
Ling 3.0 Flash Base Midtrain	256K / 255.9 GB	1155	5
Ling 3.0 Flash Base	256K / 255.9 GB	1192	4
Ling 3.0 Flash CIRU IU4	256K / 77.6 GB	454	5
Ling 3.0 Flash Heretic	256K / 255 GB	207	1

Note: green Score (e.g. "73.2") means that the model is better than inclusionAI/Ling-3.0-flash-Fin-int4.