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SmolLM2 1.7B Instruct by HuggingFaceTB

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  Autotrain compatible Base model:huggingfacetb/smoll... Base model:quantized:huggingfa...   Conversational   En   Endpoints compatible   Ext 8k   Instruct   Llama   Onnx   Region:us   Safetensors   Tensorboard   Transformers.js
Model Card on HF 🤗: https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B-Instruct 

SmolLM2 1.7B Instruct Benchmarks

MMLU Pro: 11.71
GPQA: 3.91
MUSR: 4.1
BBH: 10.92
IFEval: 53.68 vs 88 (so35)-39%
MATH Lvl 5: 4.15
LLME Score: 0.51183
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SmolLM2 1.7B Instruct (HuggingFaceTB/SmolLM2-1.7B-Instruct)

SmolLM2 1.7B Instruct Parameters and Internals

Model Type 
text generation, instruction following
Use Cases 
Areas:
text generation, instruction following, text rewriting, summarization, function calling
Applications:
educational tools, coding assistance, customer support, chatbots, language learning
Primary Use Cases:
text and instruction generation
Limitations:
primarily understands and generates content in English, generated content may not always be factually accurate or free from bias
Considerations:
Users should always verify important information and critically evaluate any generated content.
Supported Languages 
en (main)
Training Details 
Data Sources:
FineWeb-Edu, DCLM, The Stack, new mathematics and coding datasets
Data Volume:
11T tokens
Methodology:
Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO)
Hardware Used:
256 H100 GPUs
Model Architecture:
Transformer decoder
Input Output 
Input Format:
Expected input format includes system and user prompts
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Ensure queries are clear and check model's language support for optimal results.
LLM NameSmolLM2 1.7B Instruct
Repository 🤗https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B-Instruct 
Base Model(s)  HuggingFaceTB/SmolLM2-1.7B   HuggingFaceTB/SmolLM2-1.7B
Model Size1.7b
Required VRAM3.4 GB
Updated2024-12-08
MaintainerHuggingFaceTB
Model Typellama
Instruction-BasedYes
Model Files  3.4 GB   0.0 GB
Supported Languagesen
Context Length8k
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.42.3
Tokenizer ClassGPT2Tokenizer
Padding Token<|im_end|>
Vocabulary Size49152
Torch Data Typebfloat16

Quantized Models of the SmolLM2 1.7B Instruct

Model
Likes
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VRAM
SmolLM2 1.7B Instruct Bnb 4bit06101 GB

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Rank the SmolLM2 1.7B 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 v20241124
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