What are the hardware requirements for Canum Qwen3 R1 4B ICoT?

Canum Qwen3 R1 4B ICoT requires approximately 8.1 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 Qwen3 R1 4B ICoT and how large is it?

Canum Qwen3 R1 4B ICoT is developed by prithivMLmods, a model with 4b 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 Qwen3 R1 4B ICoT?

Canum Qwen3 R1 4B ICoT is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Canum Qwen3 R1 4B ICoT by prithivMLmods — VRAM 8.1GB, 40K context

Name: Canum Qwen3 R1 4B ICoT
Author: prithivMLmods

Canum Qwen3 R1 4B ICoT is an open-source language model by prithivMLmods. Features: 4b LLM, VRAM: 8.1GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.18.

Arxiv:2309.00071 Arxiv:2504.16891 Base model:finetune:prithivmlm... Base model:prithivmlmods/qwen3... Code Conversational Dataset:taur-dev/steps r1 4d ... Dataset:taur-dev/steps r1 8d ... Dataset:taur-dev/steps r1 8d ... Dataset:taur-dev/steps r1 8d ... En Endpoints compatible Math Moe Qwen3 Region:us Safetensors Sharded Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Canum-Qwen3_R1-4B-iCoT

Canum Qwen3 R1 4B ICoT Parameters and Internals

LLM Name	Canum Qwen3 R1 4B ICoT
Repository 🤗	https://huggingface.co/prithivMLmods/Canum-Qwen3_R1-4B-iCoT
Base Model(s)	Qwen3 4B Ft Bf16 prithivMLmods/Qwen3-4B-ft-bf16
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-07-19
Maintainer	prithivMLmods
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Canum Qwen3 R1 4B ICoT capabilities

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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 Qwen3 R1 4B ICoT

Best Alternatives	Context / RAM	Downloads	Likes
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
GRPO 4 70	256K / 8.1 GB	14	0
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
...2.5 Flash Lite Preview Distill	256K / 8.1 GB	31	1
Lightning 4B	256K / 8.1 GB	13	6
Fable Traces	256K / 8.1 GB	358	210
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78
Luck Qwen3 4B Code FineTune	256K / 8.1 GB	132	1

Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Canum-Qwen3_R1-4B-iCoT.