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Qwen3 0.6B Abliterated TIES by nbeerbower

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Qwen3 0.6B Abliterated TIES is an open-source language model by nbeerbower. Features: 0.6b LLM, VRAM: 1.2GB, Context: 32K, License: apache-2.0, Merged, LLM Explorer Score: 0.19.

  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:huihui-ai/qwen3-0.6... Base model:qwen/qwen3-0.6b-bas...   Conversational   Endpoints compatible   Qwen3   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/nbeerbower/Qwen3-0.6B-abliterated-TIES 

Qwen3 0.6B Abliterated TIES Benchmarks

LLME Score: 0.19219
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 0.6B Abliterated TIES (nbeerbower/Qwen3-0.6B-abliterated-TIES)
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Qwen3 0.6B Abliterated TIES Parameters and Internals

LLM NameQwen3 0.6B Abliterated TIES
Repository 🤗https://huggingface.co/nbeerbower/Qwen3-0.6B-abliterated-TIES 
Base Model(s)  huihui-ai/Qwen3-0.6B-abliterated   Qwen/Qwen3-0.6B-Base   huihui-ai/Qwen3-0.6B-abliterated   Qwen/Qwen3-0.6B-Base
Merged ModelYes
Model Size0.6b
Required VRAM1.2 GB
Updated2025-09-23
Maintainernbeerbower
Model Typeqwen3
Model Files  1.2 GB
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Qwen3 0.6B Gabliterated40K / 1.2 GB473
...ied Qwen3 0.6B Gabliterated V140K / 1.2 GB170
...fied Qwen3 0.6B Abliterated V240K / 1.2 GB211
Note: green Score (e.g. "73.2") means that the model is better than nbeerbower/Qwen3-0.6B-abliterated-TIES.

Rank the Qwen3 0.6B Abliterated TIES 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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