Brahmastra 0.2 by Krishnapadala55

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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: 0.32.

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

Brahmastra 0.2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Brahmastra 0.2 (Krishnapadala55/brahmastra-0.2)
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Brahmastra 0.2 Parameters and Internals

LLM NameBrahmastra 0.2
Repository ๐Ÿค—https://huggingface.co/Krishnapadala55/brahmastra-0.2 
Base Model(s)  DeepSeek R1 Distill Qwen 32B   deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
Model Size32b
Required VRAM65.9 GB
Updated2026-04-12
MaintainerKrishnapadala55
Model Typeqwen2
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 Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version5.2.0
Tokenizer ClassTokenizersBackend
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064

Best Alternatives to Brahmastra 0.2

Best Alternatives
Context / RAM
Downloads
Likes
Openbuddy Qwq 32B V24.2 200K195K / 65.8 GB123
Openbuddy Qwq 32B V24.1 200K195K / 65.8 GB63
Openbuddy Qwq 32B V25.2q 200K195K / 65.8 GB104
...y Qwen2.5coder 32B V24.1q 200K195K / 65.8 GB82
DeepSeek R1 Distill Qwen 32B128K / 65.7 GB9908151531
Qwen2.5 32B128K / 65.5 GB239028174
Baichuan M2 32B128K / 65.8 GB110798120
OpenReasoning Nemotron 32B128K / 65.8 GB112273121
K2 Think128K / 65.8 GB3935360
RomboUltima 32B128K / 20.7 GB196
Note: green Score (e.g. "73.2") means that the model is better than Krishnapadala55/brahmastra-0.2.

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  

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Release v20260328a