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Mixsmol 4x400M V0.1 Epoch1 by vilm

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  Autotrain compatible   Endpoints compatible   Mixtral   Moe   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/vilm/Mixsmol-4x400M-v0.1-epoch1 

Mixsmol 4x400M V0.1 Epoch1 Benchmarks

ARC: 22.87 vs 96.7 (so35)-76.3%
HellaSwag: 30.57 vs 95.3 (gpt4)-67.9%
MMLU: 25.28 vs 88.3 (so35)-71.4%
TruthfulQA: 39.03 vs 59 (gpt4)-33.8%
WinoGrande: 52.8 vs 87.5 (gpt4)-39.7%
GSM8K: 0.15 vs 96.4 (so35)-99.8%
LLME Score: 0.21728
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixsmol 4x400M V0.1 Epoch1 (vilm/Mixsmol-4x400M-v0.1-epoch1)

Mixsmol 4x400M V0.1 Epoch1 Parameters and Internals

Additional Notes 
This is an experimental model focusing on data mixing skills with limited data training to test reasoning capabilities and crosslingual understanding.
Supported Languages 
English (95%), Vietnamese (5%)
Training Details 
Data Sources:
Synthetic Textbooks, RefinedWeb, RedPajama-v2, MathPile, ThePile: MiniPile Subset, GoodWiki, The Stack Smol XL, The Vault: train_small split, Instruction Pretraining
Data Volume:
50B tokens
LLM NameMixsmol 4x400M V0.1 Epoch1
Repository 🤗https://huggingface.co/vilm/Mixsmol-4x400M-v0.1-epoch1 
Model Size1.8b
Required VRAM3.5 GB
Updated2025-02-05
Maintainervilm
Model Typemixtral
Model Files  3.5 GB   0.0 GB
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.37.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size38365
Torch Data Typebfloat16

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Mixsmol 4x400M V0.1 Epoch24K / 3.5 GB1595
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Tiny Llama 1.8B2K / 3.7 GB00

Rank the Mixsmol 4x400M V0.1 Epoch1 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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