T Lite Instruct 0.1 Abliterated by IlyaGusev

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T Lite Instruct 0.1 Abliterated is an open-source language model by IlyaGusev. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: wtfpl, Instruction-Based, LLM Explorer Score: 0.15.

  Conversational   Endpoints compatible   Instruct   Llama   Region:us   Ru   Safetensors   Sharded   Tensorflow

T Lite Instruct 0.1 Abliterated Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
T Lite Instruct 0.1 Abliterated (IlyaGusev/T-lite-instruct-0.1-abliterated)
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T Lite Instruct 0.1 Abliterated Parameters and Internals

LLM NameT Lite Instruct 0.1 Abliterated
Repository ๐Ÿค—https://huggingface.co/IlyaGusev/T-lite-instruct-0.1-abliterated 
Model Size8b
Required VRAM16.1 GB
Updated2026-04-09
MaintainerIlyaGusev
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesru
Model ArchitectureLlamaForCausalLM
Licensewtfpl
Context Length8192
Model Max Length8192
Transformers Version4.42.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128259
Torch Data Typebfloat16

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Cthulhu 8B V1.41048K / 16.1 GB139
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...dger Nu Llama 3.1 8B UltraLong1048K / 16.2 GB53
Note: green Score (e.g. "73.2") means that the model is better than IlyaGusev/T-lite-instruct-0.1-abliterated.

Rank the T Lite Instruct 0.1 Abliterated 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