Shellwhiz 7B by AuricErgeson

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Shellwhiz 7B is an open-source language model by AuricErgeson. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.32.

Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-7b-ins...   Bash   Code   Conversational Dataset:auricergeson/text-to-s...   En   Endpoints compatible   Gguf   Instruct   Qlora   Quantized   Qwen2   Region:us   Safetensors   Sharded   Shell   Tensorflow   Unsloth

Shellwhiz 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Shellwhiz 7B Parameters and Internals

LLM NameShellwhiz 7B
Repository 🤗https://huggingface.co/AuricErgeson/shellwhiz-7b 
Base Model(s)  Qwen/Qwen2.5-7B-Instruct   Qwen/Qwen2.5-7B-Instruct
Model Size7b
Required VRAM15.2 GB
Updated2026-07-11
MaintainerAuricErgeson
Model Typeqwen2
Instruction-BasedYes
Model Files  4.7 GB   4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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Rank the Shellwhiz 7B 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