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Opt 2.7B AWQ by bdambrosio

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Opt 2.7B AWQ is an open-source language model by bdambrosio. Features: 2.7b LLM, VRAM: 1.6GB, Context: 2K, License: apache-2.0, Quantized, LLM Explorer Score: 0.1.

  Autotrain compatible   Awq   Endpoints compatible   Opt   Pytorch   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/bdambrosio/opt-2.7b-awq 

Opt 2.7B AWQ Benchmarks

LLME Score: 0.10047
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Opt 2.7B AWQ (bdambrosio/opt-2.7b-awq)
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Opt 2.7B AWQ Parameters and Internals

LLM NameOpt 2.7B AWQ
Repository 🤗https://huggingface.co/bdambrosio/opt-2.7b-awq 
Model Size2.7b
Required VRAM1.6 GB
Updated2025-09-23
Maintainerbdambrosio
Model Typeopt
Model Files  1.6 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureOPTForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.33.1
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token</s>
End of Sentence Token</s>
Unk Token</s>
Vocabulary Size50272
Torch Data Typefloat16
Activation Functionrelu
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than bdambrosio/opt-2.7b-awq.

Rank the Opt 2.7B 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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