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Numfalm V2 1B by numfa

 »  All LLMs  »  numfa  »  Numfalm V2 1B   URL Share it on

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  Autotrain compatible   En   Endpoints compatible   Llama   Region:us   Safetensors   Th
Model Card on HF 🤗: https://huggingface.co/numfa/numfalm_v2-1b 

Numfalm V2 1B Benchmarks

ARC: 25.26 vs 96.7 (so35)-73.9%
HellaSwag: 32.6 vs 95.3 (gpt4)-65.8%
MMLU: 25.76 vs 88.3 (so35)-70.8%
TruthfulQA: 45.31 vs 59 (gpt4)-23.2%
WinoGrande: 50.36 vs 87.5 (gpt4)-42.4%
GSM8K: 0.45 vs 96.4 (so35)-99.5%
LLME Score: 0.24274
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Numfalm V2 1B (numfa/numfalm_v2-1b)

Numfalm V2 1B Parameters and Internals

Model Type 
text generation
Additional Notes 
Bilingual language model trained in Thai and English.
Supported Languages 
en (full), th (full)
Training Details 
Data Sources:
wannaphong/KhanomTanLLM-pretrained-dataset
Methodology:
We train the model from public dataset only.
Training Time:
4 days
Hardware Used:
TPU4-64
Model Architecture:
EasyLM
Input Output 
Accepted Modalities:
text
Output Format:
generated text
LLM NameNumfalm V2 1B
Repository 🤗https://huggingface.co/numfa/numfalm_v2-1b 
Model Size1b
Required VRAM2.8 GB
Updated2024-08-29
Maintainernumfa
Model Typellama
Model Files  2.8 GB
Supported Languagesen th
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/numfalm_v2-1b.

Rank the Numfalm V2 1B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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