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SmolLM 135M Instruct by HuggingFaceTB

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Model Card on HF 🤗: https://huggingface.co/HuggingFaceTB/SmolLM-135M-Instruct 

SmolLM 135M Instruct Benchmarks

MMLU Pro: 1.96
GPQA: 1.23
MUSR: 3.37
BBH: 2.69
IFEval: 12.14 vs 88 (so35)-86.2%
LLME Score: 0.28824
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SmolLM 135M Instruct (HuggingFaceTB/SmolLM-135M-Instruct)

SmolLM 135M Instruct Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Applications:
General knowledge questions, Creative writing, Basic Python programming
Limitations:
English only, May have difficulty with arithmetics, editing tasks and complex reasoning
Considerations:
Use as assistive tools rather than definitive sources of information
Supported Languages 
en (proficient)
Training Details 
Data Sources:
Magpie-Align/Magpie-Pro-300K-Filtered, bigcode/self-oss-instruct-sc2-exec-filter-50k, teknium/OpenHermes-2.5, HuggingFaceTB/everyday-conversations-llama3.1-2k
Data Volume:
262k tokens per batch, 1 epoch
Methodology:
Fine-tuned on publicly available datasets
Input Output 
Input Format:
Messages as JSON with role and content fields.
Accepted Modalities:
text
Output Format:
Generated responses as text.
Performance Tips:
Use temperature 0.2 and top-p 0.9 for better sampling.
Release Notes 
Version:
v0.1
Notes:
Initial release. Fine-tuned with stated datasets and DPO.
Version:
v0.2
Notes:
Improved dataset mix for small models and changes in fine-tuning strategy for better topic coherence.
LLM NameSmolLM 135M Instruct
Repository 🤗https://huggingface.co/HuggingFaceTB/SmolLM-135M-Instruct 
Base Model(s)  SmolLM 135M   HuggingFaceTB/SmolLM-135M
Model Size135m
Required VRAM0.3 GB
Updated2025-02-05
MaintainerHuggingFaceTB
Model Typellama
Instruction-BasedYes
Model Files  0.3 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.42.3
Tokenizer ClassGPT2Tokenizer
Padding Token<|im_end|>
Vocabulary Size49152
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than HuggingFaceTB/SmolLM-135M-Instruct.

Rank the SmolLM 135M Instruct 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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