What are the hardware requirements for Undi95 Remm Slerp Bf16?

Undi95 Remm Slerp Bf16 requires approximately 26 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 Undi95 Remm Slerp Bf16 and how large is it?

Undi95 Remm Slerp Bf16 is developed by wxgeorge, a model with 13b 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 Undi95 Remm Slerp Bf16?

Undi95 Remm Slerp Bf16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Undi95 Remm Slerp Bf16 by wxgeorge — VRAM 26GB, 4K context

Name: Undi95 Remm Slerp Bf16
Author: wxgeorge

Undi95 Remm Slerp Bf16 is an open-source language model by wxgeorge. Features: 13b LLM, VRAM: 26GB, Context: 4K, Merged, LLM Explorer Score: 0.17.

Merged Model Base model:finetune:undi95/rem... Base model:undi95/remm-slerp-l... Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/wxgeorge/undi95-remm-slerp-bf16

Undi95 Remm Slerp Bf16 Parameters and Internals

LLM Name	Undi95 Remm Slerp Bf16
Repository 🤗	https://huggingface.co/wxgeorge/undi95-remm-slerp-bf16
Base Model(s)	ReMM SLERP L2 13B Undi95/ReMM-SLERP-L2-13B
Merged Model	Yes
Model Size	13b
Required VRAM	26 GB
Updated	2026-07-24
Maintainer	wxgeorge
Model Type	llama
Model Files	5.0 GB: 1-of-6 5.0 GB: 2-of-6 4.9 GB: 3-of-6 4.9 GB: 4-of-6 4.9 GB: 5-of-6 1.3 GB: 6-of-6
Model Architecture	LlamaForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.49.0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
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
Code Generation
Multi-Language Support and Translation

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