What are the hardware requirements for ReluLLaMA 7B?

ReluLLaMA 7B requires approximately 27 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 ReluLLaMA 7B and how large is it?

ReluLLaMA 7B is developed by SparseLLM, a model with 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 ReluLLaMA 7B?

ReluLLaMA 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

ReluLLaMA 7B by SparseLLM — VRAM 27GB, 2K context

Name: ReluLLaMA 7B
Author: SparseLLM

ReluLLaMA 7B is an open-source language model by SparseLLM. Features: 7b LLM, VRAM: 27GB, Context: 2K, License: llama2, LLM Explorer Score: 0.1.

Arxiv:2110.01786 Arxiv:2310.04564 En Endpoints compatible Llama Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/SparseLLM/ReluLLaMA-7B

ReluLLaMA 7B Parameters and Internals

Model Type

Text Generation

Use Cases

Limitations:

Model carries risks such as producing inaccurate, biased or objectionable responses. Testing has been conducted primarily in English.

Considerations:

Developers should perform safety testing and tuning tailored to their specific applications.

Training Details

Data Sources:

Wikipedia, Pile, StackOverflow

Data Volume:

5 billion tokens

Methodology:

Joint optimization on the conventional language modeling objective and the knowledge distillation objective. The student model is the ReLU-activated version.

Hardware Used:

8xA100(80G)

LLM Name	ReluLLaMA 7B
Repository 🤗	https://huggingface.co/SparseLLM/ReluLLaMA-7B
Model Size	7b
Required VRAM	27 GB
Updated	2026-07-20
Maintainer	SparseLLM
Model Type	llama
Model Files	9.9 GB: 1-of-3 9.9 GB: 2-of-3 7.2 GB: 3-of-3 9.9 GB: 1-of-3 9.9 GB: 2-of-3 7.2 GB: 3-of-3
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	2048
Model Max Length	2048
Transformers Version	4.31.0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float32

Rank the ReluLLaMA 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

Best Alternatives to ReluLLaMA 7B

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124	1024K / 16.1 GB	93
162	1024K / 16.1 GB	60
157	1024K / 16.1 GB	101
118	1024K / 16.1 GB	15
A5.4	1024K / 16.1 GB	12
A3.4	1024K / 16.1 GB	13
A2.4	1024K / 16.1 GB	12
A6 L	1024K / 16.1 GB	201
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2 Very Sci Fi	1024K / 16.1 GB	317

Note: green Score (e.g. "73.2") means that the model is better than SparseLLM/ReluLLaMA-7B.