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YoutubeVtuber by kahou1234

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YoutubeVtuber is an open-source language model by kahou1234. Features: 8b LLM, VRAM: 32.2GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.14.

  Arxiv:1910.09700   Conversational   Endpoints compatible   Instruct   Llama   Llama-factory   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/kahou1234/YoutubeVtuber 

YoutubeVtuber Benchmarks

LLME Score: 0.13994
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
YoutubeVtuber (kahou1234/YoutubeVtuber)
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YoutubeVtuber Parameters and Internals

LLM NameYoutubeVtuber
Repository 🤗https://huggingface.co/kahou1234/YoutubeVtuber 
Model Size8b
Required VRAM32.2 GB
Updated2026-04-09
Maintainerkahou1234
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   2.0 GB: 1-of-9   5.0 GB: 2-of-4   1.9 GB: 2-of-9   4.9 GB: 3-of-4   2.0 GB: 3-of-9   1.2 GB: 4-of-4   1.9 GB: 4-of-9   2.0 GB: 5-of-9   1.9 GB: 6-of-9   2.0 GB: 7-of-9   1.3 GB: 8-of-9   1.1 GB: 9-of-9
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.43.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16

Best Alternatives to YoutubeVtuber

Best Alternatives
Context / RAM
Downloads
Likes
...otron 8B UltraLong 4M Instruct4192K / 32.1 GB89119
...a 3.1 8B UltraLong 4M Instruct4192K / 32.1 GB17624
UltraLong Thinking4192K / 16.1 GB93
...a 3.1 8B UltraLong 2M Instruct2096K / 32.1 GB8759
...otron 8B UltraLong 2M Instruct2096K / 32.1 GB4017
Cthulhu 8B V1.41048K / 16.1 GB139
...otron 8B UltraLong 1M Instruct1048K / 32.1 GB344055
...a 3.1 8B UltraLong 1M Instruct1048K / 32.1 GB138729
Zero Llama 3.1 8B Beta61048K / 16.1 GB51
...dger Nu Llama 3.1 8B UltraLong1048K / 16.2 GB53
Note: green Score (e.g. "73.2") means that the model is better than kahou1234/YoutubeVtuber.

Rank the YoutubeVtuber Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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