Bullshit 7B V2 by faced65r64

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Bullshit 7B V2 is an open-source language model by faced65r64. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, Quantized, Instruction-Based.

  4bit   Conversational   Endpoints compatible   Generated from trainer   Instruct   Quantized   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth

Bullshit 7B V2 Parameters and Internals

LLM NameBullshit 7B V2
Repository 🤗https://huggingface.co/faced65r64/bullshit-7b-v2 
Model Namecontamination-v2
Base Model(s)  unsloth/qwen2.5-7b-instruct-unsloth-bnb-4bit   unsloth/qwen2.5-7b-instruct-unsloth-bnb-4bit
Model Size7b
Required VRAM15.2 GB
Updated2026-04-19
Maintainerfaced65r64
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than faced65r64/bullshit-7b-v2.

Rank the Bullshit 7B V2 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