What are the hardware requirements for Phi 4 Argunaut 1 SPIN?

Phi 4 Argunaut 1 SPIN requires approximately 29.4 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Phi 4 Argunaut 1 SPIN and how large is it?

Phi 4 Argunaut 1 SPIN is developed by DebateLabKIT, a model with 70b 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 Phi 4 Argunaut 1 SPIN?

Phi 4 Argunaut 1 SPIN is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Phi 4 Argunaut 1 SPIN by DebateLabKIT — VRAM 29.4GB, 16K context

Name: Phi 4 Argunaut 1 SPIN
Author: DebateLabKIT

Phi 4 Argunaut 1 SPIN is an open-source language model by DebateLabKIT. Features: 70b LLM, VRAM: 29.4GB, Context: 16K, LLM Explorer Score: 0.17.

Arxiv:2401.01335 Argument-mapping Argumentation Base model:debatelabkit/phi-4-... Base model:finetune:debatelabk... Conversational Critical-thinking Dataset:allenai/llama-3.1-tulu... Dataset:debatelabkit/argdown l... Dataset:debatelabkit/argument ... Dpo Endpoints compatible Generated from trainer Llama Logic Region:us Safetensors Sharded Spin Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/DebateLabKIT/Phi-4-Argunaut-1-SPIN

Phi 4 Argunaut 1 SPIN Parameters and Internals

LLM Name	Phi 4 Argunaut 1 SPIN
Repository 🤗	https://huggingface.co/DebateLabKIT/Phi-4-Argunaut-1-SPIN
Model Name	Phi-4-Argunaut-1-SPIN
Base Model(s)	DebateLabKIT/Phi-4-Argunaut-1-SFT DebateLabKIT/Phi-4-Argunaut-1-SFT
Model Size	70b
Required VRAM	29.4 GB
Updated	2026-08-25
Maintainer	DebateLabKIT
Model Type	llama
Model Files	4.9 GB: 1-of-6 5.0 GB: 2-of-6 4.9 GB: 3-of-6 5.0 GB: 4-of-6 5.0 GB: 5-of-6 4.6 GB: 6-of-6
Model Architecture	LlamaForCausalLM
Context Length	16384
Model Max Length	16384
Transformers Version	4.46.3
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|dummy_87\|>
Vocabulary Size	100352
Torch Data Type	bfloat16

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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

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