What are the hardware requirements for L3 Super Nova RP 8B 8.0bpw H8 EXL2?

L3 Super Nova RP 8B 8.0bpw H8 EXL2 requires approximately 8.5 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed L3 Super Nova RP 8B 8.0bpw H8 EXL2 and how large is it?

L3 Super Nova RP 8B 8.0bpw H8 EXL2 is developed by Slvcxc, a model with 8b 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 L3 Super Nova RP 8B 8.0bpw H8 EXL2?

L3 Super Nova RP 8B 8.0bpw H8 EXL2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

L3 Super Nova RP 8B 8.0bpw H8 EXL2 by Slvcxc — VRAM 8.5GB, 8K context

Name: L3 Super Nova RP 8B 8.0bpw H8 EXL2
Author: Slvcxc

L3 Super Nova RP 8B 8.0bpw H8 EXL2 is an open-source language model by Slvcxc. Features: 8b LLM, VRAM: 8.5GB, Context: 8K, License: llama3, Quantized, Merged, LLM Explorer Score: 0.13.

Merged Model 8-bit Autotrain compatible Base model:casual-autopsy/l3-s... Base model:quantized:casual-au... Conversational Emotion classification En Endpoints compatible Exl2 Llama Quantized Region:us Role-play Roleplay Rp Safetensors Sharded Summarization Tensorflow

Model Card on HF 🤗: https://huggingface.co/Slvcxc/L3-Super-Nova-RP-8B-8.0bpw-h8-exl2

L3 Super Nova RP 8B 8.0bpw H8 EXL2 Parameters and Internals

LLM Name	L3 Super Nova RP 8B 8.0bpw H8 EXL2
Repository 🤗	https://huggingface.co/Slvcxc/L3-Super-Nova-RP-8B-8.0bpw-h8-exl2
Base Model(s)	L3 Super Nova RP 8B Casual-Autopsy/L3-Super-Nova-RP-8B
Merged Model	Yes
Model Size	8b
Required VRAM	8.5 GB
Updated	2025-07-24
Maintainer	Slvcxc
Model Type	llama
Model Files	3.2 GB: 1-of-3 3.2 GB: 2-of-3 2.1 GB: 3-of-3
Supported Languages	en
Quantization Type	exl2
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.42.3
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|eot_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the L3 Super Nova RP 8B 8.0bpw H8 EXL2 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 L3 Super Nova RP 8B 8.0bpw H8 EXL2

Best Alternatives	Context / RAM	Downloads	Likes
...B Instruct Gradient 1048K 4bit	1024K / 4.5 GB	10	2
...B Instruct Gradient 1048K 8bit	1024K / 8.6 GB	11	1
...truct Gradient 1048K Bpw6 EXL2	1024K / 6.7 GB	2	2
...truct Gradient 1048K Bpw5 EXL2	1024K / 5.8 GB	5	0
Llama 3 8B Instruct 1048K 4bit	1024K / 4.5 GB	525	25
Llama 3 8B Instruct 1048K 8bit	1024K / 8.6 GB	213	17
... Gradient 1048K 8.0bpw H8 EXL2	1024K / 8.6 GB	2	3
...ct Gradient 1048K Bpw2.25 EXL2	1024K / 3.4 GB	5	1
Llama 3 8B Instruct 262K 2bit	256K / 2.5 GB	11	1
...B Instruct 262k V2 EXL2 5.0bpw	256K / 5.8 GB	5	1

Note: green Score (e.g. "73.2") means that the model is better than Slvcxc/L3-Super-Nova-RP-8B-8.0bpw-h8-exl2.