What are the hardware requirements for Brahmastra 0.2?

Brahmastra 0.2 requires approximately 65.9 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Brahmastra 0.2 and how large is it?

Brahmastra 0.2 is developed by Krishnapadala55, a model with 32b 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 Brahmastra 0.2?

Brahmastra 0.2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Brahmastra 0.2 by Krishnapadala55 — VRAM 65.9GB, 128K context

Name: Brahmastra 0.2
Author: Krishnapadala55

Brahmastra 0.2 is an open-source language model by Krishnapadala55. Features: 32b LLM, VRAM: 65.9GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.23.

Base model:adapter:deepseek-ai... Base model:deepseek-ai/deepsee... Conversational Cybersecurity Dast Deepseek-r1 En Endpoints compatible Finetuned Lora Offensive-security Penetration-testing Qwen2 Reasoning Region:us Safetensors Security Sharded Tensorflow Web-security

Model Card on HF 🤗: https://huggingface.co/Krishnapadala55/brahmastra-0.2

Brahmastra 0.2 Parameters and Internals

LLM Name	Brahmastra 0.2
Repository 🤗	https://huggingface.co/Krishnapadala55/brahmastra-0.2
Base Model(s)	DeepSeek R1 Distill Qwen 32B deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
Model Size	32b
Required VRAM	65.9 GB
Updated	2026-08-02
Maintainer	Krishnapadala55
Model Type	qwen2
Model Files	5.2 GB: 1-of-13 5.3 GB: 2-of-13 5.2 GB: 3-of-13 5.2 GB: 4-of-13 5.3 GB: 5-of-13 5.2 GB: 6-of-13 5.2 GB: 7-of-13 5.3 GB: 8-of-13 5.2 GB: 9-of-13 5.2 GB: 10-of-13 5.3 GB: 11-of-13 5.2 GB: 12-of-13 3.1 GB: 13-of-13
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	5.2.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	152064

Rank the Brahmastra 0.2 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 Brahmastra 0.2

Best Alternatives	Context / RAM	Downloads	Likes
Openbuddy Qwq 32B V24.2 200K	195K / 65.8 GB	9	3
Openbuddy Qwq 32B V24.1 200K	195K / 65.8 GB	10	3
Openbuddy Qwq 32B V25.2q 200K	195K / 65.8 GB	1	4
...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	9	2
DeepSeek R1 Distill Qwen 32B	128K / 65.7 GB	841633	1584
Qwen2.5 32B	128K / 65.5 GB	49206	180
RomboUltima 32B	128K / 20.7 GB	12	6
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	29	17
Ultiima 32B	128K / 65.8 GB	11	7
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	45	4

Note: green Score (e.g. "73.2") means that the model is better than Krishnapadala55/brahmastra-0.2.