What are the hardware requirements for Osmosis Apply 1.7B GGUF?

Osmosis Apply 1.7B GGUF requires approximately 0.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Osmosis Apply 1.7B GGUF and how large is it?

Osmosis Apply 1.7B GGUF is developed by prithivMLmods, a model with 1.7b 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 Osmosis Apply 1.7B GGUF?

Osmosis Apply 1.7B GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Osmosis Apply 1.7B GGUF by prithivMLmods — VRAM 0.8GB

Name: Osmosis Apply 1.7B GGUF
Author: prithivMLmods

Osmosis Apply 1.7B GGUF is an open-source language model by prithivMLmods. Features: 1.7b LLM, VRAM: 0.8GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.19.

Base model:osmosis-ai/osmosis-... Base model:quantized:osmosis-a... Conversational En Endpoints compatible Gguf Quantized Qwen3 Region:us

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Osmosis-Apply-1.7B-GGUF

Osmosis Apply 1.7B GGUF Parameters and Internals

LLM Name	Osmosis Apply 1.7B GGUF
Repository 🤗	https://huggingface.co/prithivMLmods/Osmosis-Apply-1.7B-GGUF
Base Model(s)	osmosis-ai/Osmosis-Apply-1.7B osmosis-ai/Osmosis-Apply-1.7B
Model Size	1.7b
Required VRAM	0.8 GB
Updated	2026-08-01
Maintainer	prithivMLmods
Model Type	qwen3
Model Files	3.5 GB 3.5 GB 6.9 GB 0.8 GB 1.0 GB 0.9 GB 0.9 GB 1.1 GB 1.1 GB 1.3 GB 1.2 GB 1.4 GB 1.8 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	apache-2.0

Rank the Osmosis Apply 1.7B GGUF 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 Osmosis Apply 1.7B GGUF

Best Alternatives	Context / RAM	Downloads	Likes
... 1.7B ShiningValiant3 F32 GGUF	0K / 0.8 GB	161	2
...Tiny Instruct 1.7B QwQ O1 GGUF	0K / 1.1 GB	45	3
SmolLM 1.7B Instruct GGUF	0K / 0.7 GB	974	4
Test	0K / 0 GB	66	0
Qwen3 1.7B RP	0K / 0 GB	23	1

Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Osmosis-Apply-1.7B-GGUF.