What are the hardware requirements for LLmRa 2.7B?

LLmRa 2.7B requires approximately 10.6 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed LLmRa 2.7B and how large is it?

LLmRa 2.7B is developed by L-R, 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 LLmRa 2.7B perform on standard benchmarks?

LLmRa 2.7B has the following published scores: MMLU 25.58. Compare against reference models on this page or on the LLM Explorer leaderboards.

LLmRa 2.7B by L-R — VRAM 10.6GB, 2K context

Name: LLmRa 2.7B
Author: L-R

LLmRa 2.7B is an open-source language model by L-R. Features: 2.7b LLM, VRAM: 10.6GB, Context: 2K, License: other, LLM Explorer Score: 0.14, Arc: 37, HellaSwag: 60.7, MMLU: 25.6, GSM8K: 0.3.

Ai Autotrain compatible Conversational Conversationalai En Opt Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/L-R/LLmRa-2.7B

LLmRa 2.7B Parameters and Internals

LLM Name	LLmRa 2.7B
Repository 🤗	https://huggingface.co/L-R/LLmRa-2.7B
Model Size	2.7b
Required VRAM	10.6 GB
Updated	2024-09-26
Maintainer	L-R
Model Type	opt
Model Files	10.0 GB: 1-of-2 0.6 GB: 2-of-2
Supported Languages	en
Model Architecture	OPTForCausalLM
License	other
Context Length	2048
Model Max Length	2048
Transformers Version	4.31.0
Tokenizer Class	GPT2Tokenizer
Beginning of Sentence Token	</s>
End of Sentence Token	</s>
Unk Token	</s>
Vocabulary Size	50265
Torch Data Type	float32
Activation Function	relu
Errors	replace

Rank the LLmRa 2.7B 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

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