What are the hardware requirements for ThinkingCap Qwen3.8 Flash Next NVFP4?

ThinkingCap Qwen3.8 Flash Next NVFP4 requires approximately 131.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed ThinkingCap Qwen3.8 Flash Next NVFP4 and how large is it?

ThinkingCap Qwen3.8 Flash Next NVFP4 is developed by bottlecapai, a model with 180b 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 ThinkingCap Qwen3.8 Flash Next NVFP4?

ThinkingCap Qwen3.8 Flash Next NVFP4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

ThinkingCap Qwen3.8 Flash Next NVFP4 by bottlecapai — VRAM 131.5GB

Name: ThinkingCap Qwen3.8 Flash Next NVFP4
Author: bottlecapai

ThinkingCap Qwen3.8 Flash Next NVFP4 is an open-source language model by bottlecapai. Features: 180b LLM, VRAM: 131.5GB, License: other, LLM Explorer Score: 0.34.

8-bit Base model:bottlecapai/thinkin... Base model:quantized:bottlecap... Compressed-tensors Conversational Efficient-thinking Endpoints compatible Fp4 Image-text-to-text Nvfp4 Qwen4 exp Region:us Safetensors Sharded Tensorflow Token-efficient Vllm

Model Card on HF 🤗: https://huggingface.co/bottlecapai/ThinkingCap-Qwen3.8-Flash-Next-NVFP4

ThinkingCap Qwen3.8 Flash Next NVFP4 Parameters and Internals

LLM Name	ThinkingCap Qwen3.8 Flash Next NVFP4
Repository 🤗	https://huggingface.co/bottlecapai/ThinkingCap-Qwen3.8-Flash-Next-NVFP4
Base Model(s)	bottlecapai/ThinkingCap-Qwen3.8-Flash-Next bottlecapai/ThinkingCap-Qwen3.8-Flash-Next
Model Size	180b
Required VRAM	131.5 GB
Updated	2026-10-26
Maintainer	bottlecapai
Model Type	qwen4_exp
Model Files	9.7 GB: 1-of-14 9.6 GB: 2-of-14 9.6 GB: 3-of-14 9.6 GB: 4-of-14 9.6 GB: 5-of-14 10.0 GB: 6-of-14 10.0 GB: 7-of-14 10.0 GB: 8-of-14 10.0 GB: 9-of-14 10.0 GB: 10-of-14 10.0 GB: 11-of-14 10.0 GB: 12-of-14 10.0 GB: 13-of-14 3.4 GB: 14-of-14
Model Architecture	Qwen4ExpForConditionalGeneration
License	other
Model Max Length	262144
Transformers Version	5.8.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the ThinkingCap Qwen3.8 Flash Next NVFP4 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 ThinkingCap Qwen3.8 Flash Next NVFP4

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 Flash Next	0K / 129.5 GB	4810	3918
ThinkingCap Qwen3.8 Flash Next	0K / 127.7 GB	213	33
Qwen3.8 Flash Next OQ4e Mtp	0K / 106.4 GB	21637	86
Darwin 180B RSI	0K / 119 GB	353	94
CYBER FROST 3.8 BF16	0K / 124.3 GB	2263	65
Qwen3.8 Flash Next FP8	0K / 65.7 GB	2219	117
...Qwen3.8 Flash Next Abliterated	0K / 129.5 GB	493	42
Qwen3.8 Flash Next W4A16	0K / 0.5 GB	6043	22
Tinfield 1	0K / 129.5 GB	577	41
Agnes 3.0 Qwen	0K / 155.9 GB	212	16

Note: green Score (e.g. "73.2") means that the model is better than bottlecapai/ThinkingCap-Qwen3.8-Flash-Next-NVFP4.