What are the hardware requirements for Shearedplats 2.7B V2?

Shearedplats 2.7B V2 requires approximately 5.7 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 Shearedplats 2.7B V2 and how large is it?

Shearedplats 2.7B V2 is developed by vihangd, 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.

How does Shearedplats 2.7B V2 perform on standard benchmarks?

Shearedplats 2.7B V2 has the following published scores: MMLU 27.52. Compare against reference models on this page or on the LLM Explorer leaderboards.

Shearedplats 2.7B V2 by vihangd — VRAM 5.7GB, 4K context

Name: Shearedplats 2.7B V2
Author: vihangd

Shearedplats 2.7B V2 is an open-source language model by vihangd. Features: 2.7b LLM, VRAM: 5.7GB, Context: 4K, License: llama2, LLM Explorer Score: 0.13, Arc: 42.4, HellaSwag: 72.6, MMLU: 27.5, GSM8K: 1.5.

Endpoints compatible Llama Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/vihangd/shearedplats-2.7b-v2

Shearedplats 2.7B V2 Parameters and Internals

Model Type

text generation

Training Details

Data Sources:

alpaca style datasets

Methodology:

Alpaca-QLoRA (version 2)

Input Output

Input Format:

alpaca style prompt template

LLM Name	Shearedplats 2.7B V2
Repository 🤗	https://huggingface.co/vihangd/shearedplats-2.7b-v2
Model Size	2.7b
Required VRAM	5.7 GB
Updated	2026-08-07
Maintainer	vihangd
Model Type	llama
Model Files	0.4 GB: 1-of-15 0.4 GB: 2-of-15 0.4 GB: 3-of-15 0.4 GB: 4-of-15 0.4 GB: 5-of-15 0.4 GB: 6-of-15 0.4 GB: 7-of-15 0.4 GB: 8-of-15 0.4 GB: 9-of-15 0.4 GB: 10-of-15 0.4 GB: 11-of-15 0.4 GB: 12-of-15 0.4 GB: 13-of-15 0.3 GB: 14-of-15 0.2 GB: 15-of-15
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.35.0.dev0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Shearedplats 2.7B V2 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 Shearedplats 2.7B V2

Best Alternatives	Context / RAM	Downloads	Likes
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
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 Weblinx	4K / 5.4 GB	23	2
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 vihangd/shearedplats-2.7b-v2.