What are the hardware requirements for Nautil SFT?

Nautil SFT requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Nautil SFT and how large is it?

Nautil SFT is developed by etigerstudio, a model with 9b 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 Nautil SFT?

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

Nautil SFT by etigerstudio — VRAM 0.2GB

Name: Nautil SFT
Author: etigerstudio

Nautil SFT is an open-source language model by etigerstudio. Features: 9b LLM, VRAM: 0.2GB, License: apache-2.0, LLM Explorer Score: 0.29.

Abstention Adapter Base model:adapter:qwen/qwen3.... Base model:qwen/qwen3.5-9b En Finetuned Investigative-reasoning Lora Peft Region:us Root-cause-analysis Safetensors

Model Card on HF 🤗: https://huggingface.co/etigerstudio/Nautil-SFT

Nautil SFT Parameters and Internals

LLM Name	Nautil SFT
Repository 🤗	https://huggingface.co/etigerstudio/Nautil-SFT
Base Model(s)	Qwen/Qwen3.5-9B Qwen/Qwen3.5-9B
Model Size	9b
Required VRAM	0.2 GB
Updated	2026-10-06
Maintainer	etigerstudio
Model Files	0.2 GB
Supported Languages	en
Model Architecture	Adapter
License	apache-2.0
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|k_proj\|in_proj_qkv\|out_proj\|up_proj\|in_proj_b\|down_proj\|gate_proj\|v_proj\|in_proj_z\|in_proj_a\|o_proj
LoRA Alpha	32
LoRA Dropout	0
R Param	16

Rank the Nautil SFT 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 Nautil SFT

Best Alternatives	Context / RAM	Downloads	Likes
Kev 9B	0K / 0.2 GB	4206	66
Karti Small Support 9B	0K / 0.1 GB	26	1
Imajev 9B	0K / 0.2 GB	35	1
Schierling Qwen3.5 9B LoRA	0K / 0.2 GB	13	0
...kish Lora Continue Pre Trained	0K / 0 GB	3	5
...emma9 On Korean Summary Events	0K / 0.2 GB	6	0
Gemma 2 9B It Lora Yt Titles	0K / 0.1 GB	26	1
Yi 9B Booksum	0K / 0.2 GB	0	1
Yi 9B Booksum 2	0K / 0.9 GB	0	1
...escribe Diffusion Bf16 Adapter	0K / 0.1 GB	0	1

Note: green Score (e.g. "73.2") means that the model is better than etigerstudio/Nautil-SFT.