What are the hardware requirements for Panacea MegaScience Qwen3 1.7B?

Panacea MegaScience Qwen3 1.7B requires approximately 3.4 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Panacea MegaScience Qwen3 1.7B and how large is it?

Panacea MegaScience Qwen3 1.7B 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 Panacea MegaScience Qwen3 1.7B?

Panacea MegaScience Qwen3 1.7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Panacea MegaScience Qwen3 1.7B by prithivMLmods — VRAM 3.4GB, 40K context

Name: Panacea MegaScience Qwen3 1.7B
Author: prithivMLmods

Panacea MegaScience Qwen3 1.7B is an open-source language model by prithivMLmods. Features: 1.7b LLM, VRAM: 3.4GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.19.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-1.7b Biology Chemistry Conversational Dataset:megascience/megascienc... En Endpoints compatible Medical Mega-science Moe Qwen3 Region:us Safetensors Trl Zh

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Panacea-MegaScience-Qwen3-1.7B

Panacea MegaScience Qwen3 1.7B Parameters and Internals

LLM Name	Panacea MegaScience Qwen3 1.7B
Repository 🤗	https://huggingface.co/prithivMLmods/Panacea-MegaScience-Qwen3-1.7B
Base Model(s)	Qwen/Qwen3-1.7B Qwen/Qwen3-1.7B
Model Size	1.7b
Required VRAM	3.4 GB
Updated	2026-07-26
Maintainer	prithivMLmods
Model Type	qwen3
Model Files	3.4 GB
Supported Languages	en zh
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.55.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Panacea MegaScience Qwen3 1.7B 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 Panacea MegaScience Qwen3 1.7B

Best Alternatives	Context / RAM	Downloads	Likes
Lucy 128K	128K / 3.4 GB	123	112
Polaris 1.7B Preview	128K / 3.4 GB	73	8
DictaLM 3.0 1.7B Instruct	60K / 3.4 GB	2842	1
Qwen3 1.7B	40K / 4 GB	5633291	500
CORe Pico 4	40K / 3.4 GB	895	2
...en3 1.7B Teacher Note Severity	40K / 3.4 GB	386	0
CORe Pico V3	40K / 3.4 GB	720	0
KBevo Qwen3 1.7B SFT	40K / 3.4 GB	462	0
Qwen3 1.7B ONNX Web	40K / GB	178	1
RIFA FLASH 1.7B	40K / 3.4 GB	583	0

Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Panacea-MegaScience-Qwen3-1.7B.