What are the hardware requirements for Bootes Qwen3 Coder Reasoning?

Bootes Qwen3 Coder Reasoning 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 Bootes Qwen3 Coder Reasoning and how large is it?

Bootes Qwen3 Coder Reasoning 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 Bootes Qwen3 Coder Reasoning?

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

Bootes Qwen3 Coder Reasoning by prithivMLmods — VRAM 8.1GB, 40K context

Name: Bootes Qwen3 Coder Reasoning
Author: prithivMLmods

Bootes Qwen3 Coder Reasoning is an open-source language model by prithivMLmods. Features: 4b LLM, VRAM: 8.1GB, Context: 40K, License: apache-2.0, Code Generating, LLM Explorer Score: 0.18.

Arxiv:2309.00071 Arxiv:2412.15115 Base model:finetune:prithivmlm... Base model:prithivmlmods/qwen3... Code Codegen Coder Conversational Dataset:efficientscaling/z1-co... Dataset:huggingfaceh4/codealpa... Dataset:mlabonne/finetome-100k Dataset:nvidia/opencodereasoni... En Endpoints compatible Math Moe Mot Qwen3 Region:us Safetensors Sharded Stem Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Bootes-Qwen3_Coder-Reasoning

Bootes Qwen3 Coder Reasoning Parameters and Internals

LLM Name	Bootes Qwen3 Coder Reasoning
Repository 🤗	https://huggingface.co/prithivMLmods/Bootes-Qwen3_Coder-Reasoning
Base Model(s)	Qwen3 4B Ft Bf16 prithivMLmods/Qwen3-4B-ft-bf16
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-07-11
Maintainer	prithivMLmods
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2
Supported Languages	en
Generates Code	Yes
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 Bootes Qwen3 Coder 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 Bootes Qwen3 Coder Reasoning

Best Alternatives	Context / RAM	Downloads	Likes
Mini Coder 4B	256K / 8.1 GB	53	4
FluentlyQwen3 Coder 4B 0909	40K / 8 GB	18	8
FluentlyQwen3 Coder 4B	40K / 8 GB	8	0
...tzar Coder F1 6B Brainstorm20x	40K / 11.9 GB	206	9
...DER Instruct 12B Brainstorm20x	40K / 47.3 GB	41	3
...ODER Instruct 6B Brainstorm20x	40K / 11.9 GB	10	0
Blitzar Coder 4B F.1	40K / 8.1 GB	13	9
Qwen3 4B NexusPrime	40K / 8.2 GB	20	5
Mini Coder 4B OptiQ 4bit	256K / 3 GB	310	1

Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Bootes-Qwen3_Coder-Reasoning.