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Sheared LLaMA 2.7B Weblinx by McGill-NLP

 »  All LLMs  »  McGill-NLP  »  Sheared LLaMA 2.7B Weblinx   URL Share it on

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  Arxiv:2402.05930   Agents   Dataset:mcgill-nlp/weblinx Dataset:mcgill-nlp/weblinx-ful...   En   Endpoints compatible   Region:us   Safetensors   Sharded   Tensorflow   Web-agents   Weblinx
Model Card on HF 🤗: https://huggingface.co/McGill-NLP/Sheared-LLaMA-2.7B-weblinx 

Sheared LLaMA 2.7B Weblinx Benchmarks

LLME Score: 0.16345
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sheared LLaMA 2.7B Weblinx (McGill-NLP/Sheared-LLaMA-2.7B-weblinx)

Sheared LLaMA 2.7B Weblinx Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model is finetuned for the WebLINX dataset and was previously published on Huggingface Hub.
Supported Languages 
en (English)
LLM NameSheared LLaMA 2.7B Weblinx
Repository 🤗https://huggingface.co/McGill-NLP/Sheared-LLaMA-2.7B-weblinx 
Model Size2.7b
Required VRAM5.4 GB
Updated2025-02-22
MaintainerMcGill-NLP
Model Typellama
Model Files  5.0 GB: 1-of-2   0.4 GB: 2-of-2   0.0 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.35.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than McGill-NLP/Sheared-LLaMA-2.7B-weblinx.

Rank the Sheared LLaMA 2.7B Weblinx 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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