What are the hardware requirements for FalconSlerp4 7B?

FalconSlerp4 7B requires approximately 14.9 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed FalconSlerp4 7B and how large is it?

FalconSlerp4 7B is developed by hotmailuser, 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 FalconSlerp4 7B?

FalconSlerp4 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

FalconSlerp4 7B by hotmailuser — VRAM 14.9GB, 32K context

Name: FalconSlerp4 7B
Author: hotmailuser

FalconSlerp4 7B is an open-source language model by hotmailuser. Features: 7b LLM, VRAM: 14.9GB, Context: 32K, Merged, LLM Explorer Score: 0.25.

Merged Model Base model:ehristoforu/falcon3... Base model:hotmailuser/falcons... Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/hotmailuser/FalconSlerp4-7B

FalconSlerp4 7B Parameters and Internals

LLM Name	FalconSlerp4 7B
Repository 🤗	https://huggingface.co/hotmailuser/FalconSlerp4-7B
Base Model(s)	FalconSlerp3 7B Falcon3 Ultraset hotmailuser/FalconSlerp3-7B ehristoforu/falcon3-ultraset
Merged Model	Yes
Model Size	7b
Required VRAM	14.9 GB
Updated	2026-05-02
Maintainer	hotmailuser
Model Type	llama
Model Files	4.9 GB: 1-of-4 4.9 GB: 2-of-4 4.9 GB: 3-of-4 0.2 GB: 4-of-4
Model Architecture	LlamaForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.46.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|pad\|>
Vocabulary Size	131072
Torch Data Type	bfloat16

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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
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Multi-Language Support and Translation

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