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Numfa V2 3B by numfa

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  Autotrain compatible   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/numfa/numfa_v2-3b 

Numfa V2 3B Benchmarks

LLME Score: 0.20103
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Numfa V2 3B (numfa/numfa_v2-3b)

Numfa V2 3B Parameters and Internals

Model Type 
bilingual, language model, text generation
Additional Notes 
The model is trained on freely available datasets using open-source software.
Supported Languages 
en (English), th (Thai)
Training Details 
Data Sources:
wannaphong/KhanomTanLLM-pretrained-dataset
Methodology:
Trained by EasyLM
Training Time:
8 days
Hardware Used:
TPU4-64
LLM NameNumfa V2 3B
Repository 🤗https://huggingface.co/numfa/numfa_v2-3b 
Model Size3b
Required VRAM7.3 GB
Updated2024-08-29
Maintainernumfa
Model Typellama
Model Files  5.0 GB: 1-of-2   2.3 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size64256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than numfa/numfa_v2-3b.

Rank the Numfa V2 3B 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 v20241227
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