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SmolLM 1.7B Instruct by HuggingFaceTB

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SmolLM 1.7B Instruct Benchmarks

MMLU Pro: 1.85
GPQA: 1.34
MUSR: 2.08
BBH: 2.08
IFEval: 23.48 vs 88 (so35)-73.3%
LLME Score: 0.32757
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

SmolLM 1.7B Instruct Parameters and Internals

LLM NameSmolLM 1.7B Instruct
Repository 🤗https://huggingface.co/HuggingFaceTB/SmolLM-1.7B-Instruct 
Base Model(s)  HuggingFaceTB/SmolLM-1.7B   HuggingFaceTB/SmolLM-1.7B
Model Size1.7b
Required VRAM3.4 GB
Updated2024-11-07
MaintainerHuggingFaceTB
Model Typellama
Instruction-BasedYes
Model Files  3.4 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
SmolLM 1.7B Instruct (HuggingFaceTB/SmolLM-1.7B-Instruct)

Quantized Models of the SmolLM 1.7B Instruct

Model
Likes
Downloads
VRAM
SmolLM 1.7B Instruct GGUF44490 GB

Best Alternatives to SmolLM 1.7B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
SmolLM2 1.7B Instruct8K / 3.4 GB16940236
SmolLM2 1.7B Instruct8K / 3.4 GB743
SmolLM 1.7B Instruct 4bit2K / 1 GB162
SmolLM 1.7B Instruct 8bit2K / 1.8 GB191
...uerkrautLM SOLAR Instruct GPTQ8K / 6 GB112
...auerkrautLM SOLAR Instruct AWQ8K / 6 GB22
...auerkrautLM SOLAR Instruct AWQ8K / 6 GB70
Sakura SOLAR Instruct GPTQ4K / 6 GB73
Sakura SOLAR Instruct AWQ4K / 6 GB91
...rautLM UNA SOLAR Instruct GPTQ4K / 6 GB63
Note: green Score (e.g. "73.2") means that the model is better than HuggingFaceTB/SmolLM-1.7B-Instruct.

Rank the SmolLM 1.7B Instruct Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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