What are the hardware requirements for MedQwen3 1.7B CPT 0617?

MedQwen3 1.7B CPT 0617 requires approximately 6.9 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MedQwen3 1.7B CPT 0617 and how large is it?

MedQwen3 1.7B CPT 0617 is developed by codin-research, 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 MedQwen3 1.7B CPT 0617?

MedQwen3 1.7B CPT 0617 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MedQwen3 1.7B CPT 0617 by codin-research — VRAM 6.9GB, 32K context

Name: MedQwen3 1.7B CPT 0617
Author: codin-research

MedQwen3 1.7B CPT 0617 is an open-source language model by codin-research. Features: 1.7b LLM, VRAM: 6.9GB, Context: 32K, License: mit, LLM Explorer Score: 0.18.

Arxiv:1910.09700 Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-1.7b-bas... Endpoints compatible Medical Qwen3 Region:us Safetensors Sharded Tensorflow Vi

Model Card on HF 🤗: https://huggingface.co/codin-research/MedQwen3-1.7B-CPT-0617

MedQwen3 1.7B CPT 0617 Parameters and Internals

LLM Name	MedQwen3 1.7B CPT 0617
Repository 🤗	https://huggingface.co/codin-research/MedQwen3-1.7B-CPT-0617
Base Model(s)	Qwen/Qwen3-1.7B-Base Qwen/Qwen3-1.7B-Base
Model Size	1.7b
Required VRAM	6.9 GB
Updated	2026-06-27
Maintainer	codin-research
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 1.9 GB: 2-of-2
Supported Languages	vi
Model Architecture	Qwen3ForCausalLM
License	mit
Context Length	32768
Model Max Length	32768
Transformers Version	4.52.4
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	float32
Errors	replace

Rank the MedQwen3 1.7B CPT 0617 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 MedQwen3 1.7B CPT 0617

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
RIFA FLASH 1.7B	40K / 3.4 GB	583	0
DualMind TKD Agentic 1.7B	40K / 3.4 GB	1798	0
Atomight V2.5 1.7B	40K / 3.4 GB	1406	1
Qwen3 1.7B Base MED ChatVector	40K / 3.4 GB	204	1
... 1.7B Base MED ChatVector 0812	40K / 3.4 GB	49	1
Qwen3 1.7B Base MED ChatVector	40K / 3.4 GB	46	1

Note: green Score (e.g. "73.2") means that the model is better than codin-research/MedQwen3-1.7B-CPT-0617.