Daredevil 8B Abliterated AWQ by aspirina765

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Daredevil 8B Abliterated AWQ is an open-source language model by aspirina765. Features: 8b LLM, VRAM: 5.8GB, Context: 8K, Quantized, LLM Explorer Score: 0.14.

  Arxiv:1910.09700   4-bit   Autoquant   Autotrain compatible   Awq   Conversational   Endpoints compatible   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Daredevil 8B Abliterated AWQ Benchmarks

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

Daredevil 8B Abliterated AWQ Parameters and Internals

LLM NameDaredevil 8B Abliterated AWQ
Repository 🤗https://huggingface.co/aspirina765/Daredevil-8B-abliterated-AWQ 
Base Model(s)  Daredevil 8B Abliterated   mlabonne/Daredevil-8B-abliterated
Model Size8b
Required VRAM5.8 GB
Updated2025-09-23
Maintaineraspirina765
Model Typellama
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.38.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat16

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...8B Instruct Gradient 1048K AWQ1024K / 5.8 GB70
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Llama 3 8B Instruct AWQ8K / 5.8 GB10194929
...eta Llama 3 8B Instruct Hf AWQ8K / 5.8 GB7969
Meta Llama 3 8B Instruct AWQ8K / 5.8 GB60
Meta Llama 3 8B Instruct AWQ8K / 5.8 GB6605
Meta Llama 3 8B Instruct AWQ8K / 5.8 GB70
Note: green Score (e.g. "73.2") means that the model is better than aspirina765/Daredevil-8B-abliterated-AWQ.

Rank the Daredevil 8B Abliterated AWQ 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