What are the hardware requirements for Canum Med Qwen3 Reasoning?

Canum Med Qwen3 Reasoning 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 Canum Med Qwen3 Reasoning and how large is it?

Canum Med Qwen3 Reasoning 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 Canum Med Qwen3 Reasoning?

Canum Med Qwen3 Reasoning is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Canum Med Qwen3 Reasoning by prithivMLmods — VRAM 3.4GB, 40K context

Name: Canum Med Qwen3 Reasoning
Author: prithivMLmods

Canum Med Qwen3 Reasoning 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.

Article Base model:finetune:prithivmlm... Base model:prithivmlmods/qwen3... Biology Conversational Dataset:mteb/raw medrxiv En Endpoints compatible Med Medical Qwen3 Region:us Safetensors Trl Zh

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Canum-med-Qwen3-Reasoning

Canum Med Qwen3 Reasoning Parameters and Internals

LLM Name	Canum Med Qwen3 Reasoning
Repository 🤗	https://huggingface.co/prithivMLmods/Canum-med-Qwen3-Reasoning
Base Model(s)	prithivMLmods/Qwen3-1.7B-ft-bf16 prithivMLmods/Qwen3-1.7B-ft-bf16
Model Size	1.7b
Required VRAM	3.4 GB
Updated	2026-07-25
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 Canum Med Qwen3 Reasoning 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 Canum Med Qwen3 Reasoning

Best Alternatives	Context / RAM	Downloads	Likes
Reaper Base	128K / 3.4 GB	393	0
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
Qwen3 1.7B Text2cypher	40K / 3.4 GB	241	1
...herapeutic Register Qwen3 1.7B	40K / 3.4 GB	570	0
Boole 1.7B	40K / 0.2 GB	539	9
Qwen3 1.7B Sudoku SFT	40K / 3.4 GB	264	0
Qwen3 1.7B Openvino	40K / 0 GB	157	1

Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Canum-med-Qwen3-Reasoning.