What are the hardware requirements for Boomslang?

Boomslang requires approximately 6.2 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 Boomslang and how large is it?

Boomslang is developed by Monster-Code, a model with 3b 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 Boomslang?

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

Boomslang by Monster-Code — VRAM 6.2GB, 32K context

Name: Boomslang
Author: Monster-Code

Boomslang is an open-source language model by Monster-Code. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.33.

Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-3b-ins... Chain-of-thought Conversational En Endpoints compatible Gguf Instruct Math Quantized Qwen2 Qwen2.5 Reasoning Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Monster-Code/Boomslang

Boomslang Parameters and Internals

LLM Name	Boomslang
Repository 🤗	https://huggingface.co/Monster-Code/Boomslang
Base Model(s)	Qwen/Qwen2.5-3B-Instruct Qwen/Qwen2.5-3B-Instruct
Model Size	3b
Required VRAM	6.2 GB
Updated	2026-09-23
Maintainer	Monster-Code
Model Type	qwen2
Instruction-Based	Yes
Model Files	6.2 GB 6.2 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.17.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Boomslang 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 Boomslang

Best Alternatives	Context / RAM	Downloads	Likes
VibeThinker 3B Heretic	128K / 6.2 GB	1016	4
TINY THINKER INSTRUCT	32K / 6.2 GB	1382	4
Spyfood Brain V2	32K / 6.2 GB	153	0
Zenith 3B	32K / 6.3 GB	190	3
Qwen2.5 3B Instruct Heretic	32K / 6.2 GB	565	1
Coder GRPO 3B	32K / 6.2 GB	298	7
OpenCogito	32K / 6.2 GB	779	0
OpenCognito R1	32K / 6.1 GB	655	0
Nomi 1 Creative	32K / 6.2 GB	104	2
Tiny Agent A 3B	32K / 6.2 GB	526	24