What are the hardware requirements for Recursant Two Sparks Deepseekv4.1 Flash?

Recursant Two Sparks Deepseekv4.1 Flash requires approximately 155.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Recursant Two Sparks Deepseekv4.1 Flash and how large is it?

Recursant Two Sparks Deepseekv4.1 Flash is developed by ajensenwaud, a model with 281.1b 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 Recursant Two Sparks Deepseekv4.1 Flash?

Recursant Two Sparks Deepseekv4.1 Flash is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Recursant Two Sparks Deepseekv4.1 Flash by ajensenwaud — VRAM 155.5GB

Name: Recursant Two Sparks Deepseekv4.1 Flash
Author: ajensenwaud

Recursant Two Sparks Deepseekv4.1 Flash is an open-source language model by ajensenwaud. Features: 281.1b LLM, VRAM: 155.5GB, License: mit, LLM Explorer Score: 0.29.

2-bit Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-... Deepseek v41 Exl3 Image-text-to-text Multimodal Quantized Region:us Safetensors Sharded Tensorflow Vllm

Model Card on HF 🤗: https://huggingface.co/ajensenwaud/recursant-two-sparks-deepseekv4.1-flash

Recursant Two Sparks Deepseekv4.1 Flash Parameters and Internals

LLM Name	Recursant Two Sparks Deepseekv4.1 Flash
Repository 🤗	https://huggingface.co/ajensenwaud/recursant-two-sparks-deepseekv4.1-flash
Base Model(s)	deepseek-ai/DeepSeek-V4.1-Flash deepseek-ai/DeepSeek-V4.1-Flash
Model Size	281.1b
Required VRAM	155.5 GB
Updated	2026-09-19
Maintainer	ajensenwaud
Model Type	deepseek_v41
Model Files	1.0 GB: 1-of-48 1.3 GB: 2-of-48 3.6 GB: 3-of-48 3.6 GB: 4-of-48 3.6 GB: 5-of-48 3.6 GB: 6-of-48 3.6 GB: 7-of-48 3.6 GB: 8-of-48 3.6 GB: 9-of-48 3.6 GB: 10-of-48 3.6 GB: 11-of-48 3.6 GB: 12-of-48 3.6 GB: 13-of-48 3.6 GB: 14-of-48 3.6 GB: 15-of-48 3.6 GB: 16-of-48 3.6 GB: 17-of-48 3.6 GB: 18-of-48 3.6 GB: 19-of-48 3.6 GB: 20-of-48 3.6 GB: 21-of-48 3.6 GB: 22-of-48 3.6 GB: 23-of-48 3.6 GB: 24-of-48 3.6 GB: 25-of-48 3.6 GB: 26-of-48 3.6 GB: 27-of-48 3.6 GB: 28-of-48 3.6 GB: 29-of-48 3.6 GB: 30-of-48 3.6 GB: 31-of-48 3.6 GB: 32-of-48 3.6 GB: 33-of-48 3.6 GB: 34-of-48 3.6 GB: 35-of-48 3.6 GB: 36-of-48 3.6 GB: 37-of-48 3.6 GB: 38-of-48 3.6 GB: 39-of-48 3.6 GB: 40-of-48 3.6 GB: 41-of-48 3.6 GB: 42-of-48 1.3 GB: 43-of-48 2.6 GB: 44-of-48 2.6 GB: 45-of-48 2.7 GB: 46-of-48
Model Architecture	DeepseekV41ForCausalLM
License	mit
Transformers Version	5.6.0

Rank the Recursant Two Sparks Deepseekv4.1 Flash capabilities

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Best Alternatives to Recursant Two Sparks Deepseekv4.1 Flash

Best Alternatives	Context / RAM	Downloads	Likes
...sh EXL3 2.0bpw 2x RTX PRO 6000	0K / 139.1 GB	312	3

Note: green Score (e.g. "73.2") means that the model is better than ajensenwaud/recursant-two-sparks-deepseekv4.1-flash.