What are the hardware requirements for Musenet 1B4 L94 D1024 Rwkv Converted?

Musenet 1B4 L94 D1024 Rwkv Converted requires approximately 5.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Musenet 1B4 L94 D1024 Rwkv Converted and how large is it?

Musenet 1B4 L94 D1024 Rwkv Converted is developed by breadlicker45. 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 Musenet 1B4 L94 D1024 Rwkv Converted?

Musenet 1B4 L94 D1024 Rwkv Converted is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Musenet 1B4 L94 D1024 Rwkv Converted by breadlicker45 — VRAM 5.3GB

Name: Musenet 1B4 L94 D1024 Rwkv Converted
Author: breadlicker45

Musenet 1B4 L94 D1024 Rwkv Converted is an open-source language model by breadlicker45. Features: LLM, VRAM: 5.3GB, LLM Explorer Score: 0.08.

Endpoints compatible Pytorch Region:us Rwkv Sharded

Model Card on HF 🤗: https://huggingface.co/breadlicker45/Musenet-1B4-L94-D1024-rwkv-converted

Musenet 1B4 L94 D1024 Rwkv Converted Parameters and Internals

Additional Notes

The model is deemed suboptimal because of the way it was trained and is not recommended for use.

Training Details

Methodology:

The model has issues due to problematic training methods.

LLM Name	Musenet 1B4 L94 D1024 Rwkv Converted
Repository 🤗	https://huggingface.co/breadlicker45/Musenet-1B4-L94-D1024-rwkv-converted
Required VRAM	5.3 GB
Updated	2026-08-04
Maintainer	breadlicker45
Model Type	rwkv
Model Files	2.0 GB: 1-of-3 2.0 GB: 2-of-3 1.3 GB: 3-of-3
Model Architecture	RwkvForCausalLM
Transformers Version	4.30.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	20257
Torch Data Type	float32

Rank the Musenet 1B4 L94 D1024 Rwkv Converted 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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EagleX 1 7T HF	0K / 15 GB	32	10
Rwkv 4 1b5 Pile	0K / 6.1 GB	407	6
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... Pileplus 1B5 Evol Instruct V2	0K / 6.1 GB	58	0
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Rwkv Musenet Test Untrained4	0K / 0.9 GB	7	0
Rwkv Musenet Test Untrained	0K / 0.1 GB	7	0
Rwkv Music3	0K / 1.7 GB	8	1
MuseRift	0K / 1.7 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than breadlicker45/Musenet-1B4-L94-D1024-rwkv-converted.