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Mixsmol 4x400M V0.1 Epoch3 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-epoch3 

Mixsmol 4x400M V0.1 Epoch3 Benchmarks

LLME Score: 0.16412
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 Epoch3 (vilm/Mixsmol-4x400M-v0.1-epoch3)

Mixsmol 4x400M V0.1 Epoch3 Parameters and Internals

Model Type 
multimodal, crosslingual
Additional Notes 
Note that this is an experimental model run focusing on data mixing.
Training Details 
Data Sources:
Synthetic Textbooks, RefinedWeb, RedPajama-v2, MathPile, ThePile, GoodWiki, The Stack Smol XL, The Vault: train_small split, Instruction Pretraining
Data Volume:
50B tokens
Methodology:
Experimental in data mixing focusing on reasoning capabilities through synthetic textbook data and crosslingual understanding through machine translation/multilingual tasks pretraining
Release Notes 
Version:
Epoch 3
Notes:
This version was trained on 50B tokens to test reasoning capabilities and crosslingual understanding. Future runs will use more data and compute to maximize capabilities.
LLM NameMixsmol 4x400M V0.1 Epoch3
Repository 🤗https://huggingface.co/vilm/Mixsmol-4x400M-v0.1-epoch3 
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

Best Alternatives to Mixsmol 4x400M V0.1 Epoch3

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Mixsmol 4x400M V0.1 Epoch14K / 3.5 GB14912
Mixsmol 4x400M V0.1 Epoch24K / 3.5 GB1595
Mixtral 4x400M4K / 7.1 GB572
Tiny Llama 1.8B2K / 3.7 GB00
Note: green Score (e.g. "73.2") means that the model is better than vilm/Mixsmol-4x400M-v0.1-epoch3.

Rank the Mixsmol 4x400M V0.1 Epoch3 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  
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Release v20241227
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