What are the hardware requirements for Ling 3.0 Flash CIRU Int4 Strix Native?

Ling 3.0 Flash CIRU Int4 Strix Native 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 Int4 Strix Native and how large is it?

Ling 3.0 Flash CIRU Int4 Strix Native 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 Int4 Strix Native?

Ling 3.0 Flash CIRU Int4 Strix Native 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 Int4 Strix Native by jcbtc — VRAM 77.6GB, 256K context

Name: Ling 3.0 Flash CIRU Int4 Strix Native
Author: jcbtc

Ling 3.0 Flash CIRU Int4 Strix Native is an open-source language model by jcbtc. Features: 127.5b LLM, VRAM: 77.6GB, Context: 256K, License: mit, LLM Explorer Score: 0.32.

Amd Bailing hybrid Base model:inclusionai/ling-3.... Base model:quantized:inclusion... Compressed-tensors Conversational Custom code Gfx1151 Mtp Region:us Rocm Safetensors Sharded Speculative-decoding Strix-halo Tensorflow Vllm W4a16 Windows Wsl

Model Card on HF 🤗: https://huggingface.co/jcbtc/Ling-3.0-Flash-CIRU-int4-Strix-native

Ling 3.0 Flash CIRU Int4 Strix Native Parameters and Internals

LLM Name	Ling 3.0 Flash CIRU Int4 Strix Native
Repository 🤗	https://huggingface.co/jcbtc/Ling-3.0-Flash-CIRU-int4-Strix-native
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	2026-08-11
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 Int4 Strix Native capabilities

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Best Alternatives to Ling 3.0 Flash CIRU Int4 Strix Native

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 MXFP4	128K / 77.9 GB	1399	6

Note: green Score (e.g. "73.2") means that the model is better than jcbtc/Ling-3.0-Flash-CIRU-int4-Strix-native.