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Vietcuna 7B V3 AWQ by tienhung36

 »  All LLMs  »  tienhung36  »  Vietcuna 7B V3 AWQ   URL Share it on

  11   
  4-bit   Autotrain compatible   Awq   Bloom   Endpoints compatible   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/tienhung36/vietcuna-7b-v3-AWQ 

Vietcuna 7B V3 AWQ Benchmarks

LLME Score: 0.18566
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 AWQ (tienhung36/vietcuna-7b-v3-AWQ)

Vietcuna 7B V3 AWQ Parameters and Internals

Model Type 
text-generation
Release Notes 
Version:
GEMM
Notes:
The model makes use of zero_point and quantization settings with a q_group_size of 128 and w_bit of 4.
LLM NameVietcuna 7B V3 AWQ
Repository 🤗https://huggingface.co/tienhung36/vietcuna-7b-v3-AWQ 
Base Model(s)  Vietcuna 7B V3   vilm/vietcuna-7b-v3
Model Size7b
Required VRAM7.2 GB
Updated2025-02-22
Maintainertienhung36
Model Typebloom
Model Files  7.2 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureBloomForCausalLM
Transformers Version4.35.2
Tokenizer ClassBloomTokenizer
Padding Token<pad>
Vocabulary Size250880
Torch Data Typefloat16

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Rank the Vietcuna 7B V3 AWQ Capabilities

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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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Release v20241227
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