What are the hardware requirements for WARMIND 1017?

WARMIND 1017 requires approximately 283.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed WARMIND 1017 and how large is it?

WARMIND 1017 is developed by jcartu, a model with 763.2b 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 WARMIND 1017?

WARMIND 1017 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

WARMIND 1017 by jcartu — VRAM 283.5GB

Name: WARMIND 1017
Author: jcartu

WARMIND 1017 is an open-source language model by jcartu. Features: 763.2b LLM, VRAM: 283.5GB, License: mit, LLM Explorer Score: 0.31.

8-bit Abliterated Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-... Deepseek Deepseek v41 Ds41-flash Fp8 Mxfp4 Reasoning Region:us Safetensors Sharded Tensorflow Uncensored Vllm

Model Card on HF 🤗: https://huggingface.co/jcartu/WARMIND-1017

WARMIND 1017 Parameters and Internals

LLM Name	WARMIND 1017
Repository 🤗	https://huggingface.co/jcartu/WARMIND-1017
Base Model(s)	deepseek-ai/DeepSeek-V4.1-Flash-1017 deepseek-ai/DeepSeek-V4.1-Flash-1017
Model Size	763.2b
Required VRAM	283.5 GB
Updated	2026-11-01
Maintainer	jcartu
Model Type	deepseek_v41
Model Files	1.0 GB: 1-of-48 1.3 GB: 2-of-48 7.4 GB: 3-of-48 7.4 GB: 4-of-48 7.4 GB: 5-of-48 7.4 GB: 6-of-48 7.4 GB: 7-of-48 7.4 GB: 8-of-48 7.4 GB: 9-of-48 7.4 GB: 10-of-48 7.4 GB: 11-of-48 7.4 GB: 12-of-48 7.4 GB: 13-of-48 7.4 GB: 14-of-48 7.4 GB: 15-of-48 7.4 GB: 16-of-48 7.4 GB: 17-of-48 7.4 GB: 18-of-48 7.4 GB: 19-of-48 7.4 GB: 20-of-48 7.4 GB: 21-of-48 7.4 GB: 22-of-48 7.4 GB: 23-of-48 7.4 GB: 24-of-48 7.4 GB: 25-of-48 7.4 GB: 26-of-48 7.4 GB: 27-of-48 7.4 GB: 28-of-48 7.4 GB: 29-of-48 7.4 GB: 30-of-48 7.4 GB: 31-of-48 7.4 GB: 32-of-48 7.4 GB: 33-of-48 7.4 GB: 34-of-48 7.4 GB: 35-of-48 7.4 GB: 36-of-48 7.4 GB: 37-of-48 7.4 GB: 38-of-48 7.4 GB: 39-of-48 7.4 GB: 40-of-48
Model Architecture	DeepseekV41ForCausalLM
License	mit
Transformers Version	5.6.0

Rank the WARMIND 1017 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 WARMIND 1017

Best Alternatives	Context / RAM	Downloads	Likes
DeepSeek V4.1 Flash	0K / 290.9 GB	75774	1760
DeepSeek V4.1 Flash 1017	0K / 302.2 GB	42122	2137
DeepSeek V4.1 Flash NVFP4	0K / 315.6 GB	2413	82
...epSeek V4.1 Flash 1017 Genesis	0K / 302.2 GB	388	3
...k V4.1 Flash 1017 DERISKED FP8	0K / 299.6 GB	356	16
DeepSeek V4.1 Flash 1017	0K / 299.6 GB	700	11
...V4.1 1017 Ablitrated Efficient	0K / 283.5 GB	362	3
...epSeek V4.1 Flash 1017 Heretic	0K / 283.5 GB	363	9
...V4.1 1017 Ablitrated Testmodel	0K / 299.6 GB	131	6
...urova DeepSeek V4.1 Flash 1017	0K / 391.5 GB	115	2

Note: green Score (e.g. "73.2") means that the model is better than jcartu/WARMIND-1017.