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Vietcuna 7B V3 by vilm

 »  All LLMs  »  vilm  »  Vietcuna 7B V3   URL Share it on

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  Autotrain compatible   Bloom   Dataset:vilm/openorca-viet   Endpoints compatible   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

Vietcuna 7B V3 Benchmarks

LLME Score: 0.14659
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Vietcuna 7B V3 Parameters and Internals

LLM NameVietcuna 7B V3
Repository 🤗https://huggingface.co/vilm/vietcuna-7b-v3 
Model Size7b
Required VRAM14.2 GB
Updated2024-09-07
Maintainervilm
Model Typebloom
Model Files  10.0 GB: 1-of-2   4.2 GB: 2-of-2   10.0 GB: 1-of-2   4.2 GB: 2-of-2
Model ArchitectureBloomForCausalLM
Transformers Version4.31.0
Vocabulary Size250880
Torch Data Typebfloat16
Vietcuna 7B V3 (vilm/vietcuna-7b-v3)

Quantized Models of the Vietcuna 7B V3

Model
Likes
Downloads
VRAM
Vietcuna 7B V3 AWQ067 GB
Vietcuna 7B V3 AWQ0177 GB

Best Alternatives to Vietcuna 7B V3

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Context / RAM
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...lama 2 7B Chat Hf Text Teacher0K / 2.2 GB60
...Qa Llama 2 7B Chat Hf Uld Loss0K / 2.2 GB50
...tral 7B Instruct V0.2 Uld Loss0K / 2.2 GB50
... 7B Instruct V0.2 Text Teacher0K / 2.2 GB50
Yayi 7B0K / 28.2 GB74028
Gogpt 7B Bloom0K / 32.3 GB6713
Phoenix Inst Chat 7B0K / 16.2 GB132043
Vietcuna 7B 2k50K / 14.2 GB50
Bloom Xp30K / 32.4 GB80
Huozi 7B Rlhf0K / 15.6 GB73
Note: green Score (e.g. "73.2") means that the model is better than vilm/vietcuna-7b-v3.

Rank the Vietcuna 7B V3 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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Release v2024072803
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