What are the hardware requirements for Sheared LLaMA 2.7B Weblinx?

Sheared LLaMA 2.7B Weblinx requires approximately 5.4 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Sheared LLaMA 2.7B Weblinx and how large is it?

Sheared LLaMA 2.7B Weblinx is developed by McGill-NLP, a model with 2.7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Sheared LLaMA 2.7B Weblinx?

Sheared LLaMA 2.7B Weblinx is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Sheared LLaMA 2.7B Weblinx by McGill-NLP — VRAM 5.4GB, 4K context

Name: Sheared LLaMA 2.7B Weblinx
Author: McGill-NLP

Sheared LLaMA 2.7B Weblinx is an open-source language model by McGill-NLP. Features: 2.7b LLM, VRAM: 5.4GB, Context: 4K, License: llama2, LLM Explorer Score: 0.11.

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 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 Name	Sheared LLaMA 2.7B Weblinx
Repository 🤗	https://huggingface.co/McGill-NLP/Sheared-LLaMA-2.7B-weblinx
Model Size	2.7b
Required VRAM	5.4 GB
Updated	2026-07-08
Maintainer	McGill-NLP
Model Type	llama
Model Files	5.0 GB: 1-of-2 0.4 GB: 2-of-2 0.0 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.35.0
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	bfloat16

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

Best Alternatives to Sheared LLaMA 2.7B Weblinx

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Sheared LLaMA 2.7B	4K / 10.8 GB	821	61
Dopeyshearedplats 2.7B V1	4K / 5.7 GB	214	2
...redplats 2.7B V2 Instruct V0.1	4K / 5.4 GB	5	3
Shearedplats 2.7B V2	4K / 5.7 GB	226	2
Llama Final	4K / 5.5 GB	5	0
DPO VinaLlama Completed	4K / 5.6 GB	8	0
Urllm Ko En 2.7B	4K / 11.2 GB	5	0
...heared Llama 2.7B Deita 6K Sft	4K / 5.4 GB	4	1
Sheared LLaMA 2.7B Pruned	4K / 5.4 GB	21	3
Vinallama 2.7B Chat	4K / 5.5 GB	370	16

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