What are the hardware requirements for Ling 3.0 Flash CIRU IU4?

Ling 3.0 Flash CIRU IU4 requires approximately 77.6 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 CIRU IU4 and how large is it?

Ling 3.0 Flash CIRU IU4 is developed by jcbtc, 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 CIRU IU4?

Ling 3.0 Flash CIRU IU4 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 CIRU IU4 by jcbtc — VRAM 77.6GB, 256K context

Name: Ling 3.0 Flash CIRU IU4
Author: jcbtc

Ling 3.0 Flash CIRU IU4 is an open-source language model by jcbtc. Features: 127.5b LLM, VRAM: 77.6GB, Context: 256K, License: mit, LLM Explorer Score: 0.35.

Amd Bailing hybrid Base model:inclusionai/ling-3.... Base model:quantized:inclusion... Compressed-tensors Conversational Custom code Gfx1151 Int4 Iu4 Moe Mtp Region:us Rocm Safetensors Sharded Speculative-decoding Strix-halo Tensorflow Vllm

Model Card on HF 🤗: https://huggingface.co/jcbtc/Ling-3.0-Flash-CIRU-IU4

Ling 3.0 Flash CIRU IU4 Parameters and Internals

LLM Name	Ling 3.0 Flash CIRU IU4
Repository 🤗	https://huggingface.co/jcbtc/Ling-3.0-Flash-CIRU-IU4
Base Model(s)	inclusionAI/Ling-3.0-flash-int4 inclusionAI/Ling-3.0-flash-int4
Model Size	127.5b
Required VRAM	77.6 GB
Updated	2026-08-25
Maintainer	jcbtc
Model Type	bailing_hybrid
Model Files	8.3 GB: 1-of-24 3.0 GB: 2-of-24 3.0 GB: 3-of-24 3.0 GB: 4-of-24 3.0 GB: 5-of-24 3.0 GB: 6-of-24 3.0 GB: 7-of-24 3.0 GB: 8-of-24 3.0 GB: 9-of-24 3.0 GB: 10-of-24 3.0 GB: 11-of-24 3.0 GB: 12-of-24 3.0 GB: 13-of-24 3.0 GB: 14-of-24 3.0 GB: 15-of-24 3.0 GB: 16-of-24 3.0 GB: 17-of-24 3.0 GB: 18-of-24 3.0 GB: 19-of-24 3.0 GB: 20-of-24 3.0 GB: 21-of-24 3.0 GB: 22-of-24 3.0 GB: 23-of-24 3.3 GB: 24-of-24
Model Architecture	BailingMoeV3ForCausalLM
License	mit
Context Length	262144
Model Max Length	262144
Transformers Version	4.45.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|endoftext\|>
Vocabulary Size	157184
Torch Data Type	bfloat16

Rank the Ling 3.0 Flash CIRU IU4 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 3.0 Flash CIRU IU4

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 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 Heretic	256K / 255 GB	207	1
...0 Flash CIRU Int4 Strix Native	256K / 77.6 GB	47	7
Ling 3.0 Flash MXFP4	128K / 77.9 GB	1399	6
Ling 3.0 Flash Base 30T	8K / 255.9 GB	934	9

Note: green Score (e.g. "73.2") means that the model is better than jcbtc/Ling-3.0-Flash-CIRU-IU4.