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SmolLM 135M Layer Pruned 90M Raw by Trelis

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SmolLM 135M Layer Pruned 90M Raw is an open-source language model by Trelis. Features: 135m LLM, VRAM: 0.2GB, Context: 2K, LLM Explorer Score: 0.15.

  Arxiv:1910.09700   Conversational   Endpoints compatible   Llama   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Trelis/SmolLM-135M-layer-pruned-90M-raw 

SmolLM 135M Layer Pruned 90M Raw Benchmarks

LLME Score: 0.15175
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SmolLM 135M Layer Pruned 90M Raw (Trelis/SmolLM-135M-layer-pruned-90M-raw)
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SmolLM 135M Layer Pruned 90M Raw Parameters and Internals

LLM NameSmolLM 135M Layer Pruned 90M Raw
Repository 🤗https://huggingface.co/Trelis/SmolLM-135M-layer-pruned-90M-raw 
Model Size135m
Required VRAM0.2 GB
Updated2026-05-01
MaintainerTrelis
Model Typellama
Model Files  0.2 GB
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.44.2
Tokenizer ClassGPT2Tokenizer
Padding Token<|im_end|>
Vocabulary Size49152
Torch Data Typebfloat16

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SmolLM2 135M Instruct8K / 0.3 GB1615229319
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Smollm2 Helpbot 135M8K / 0.3 GB11
BokantLM0.1 135M Deepseek8K / 0.5 GB90
SmolLM2 135M Mofbandgap8K / 0.3 GB50
SmolLM2 Rethink 135M8K / 0.5 GB32
SmolLM2 135M Instruct Ita8K / 0.1 GB240
SmolLM2 FT MyDataset8K / 0.5 GB650
SmolLM2 135M Eagle8K / 0.3 GB73
Note: green Score (e.g. "73.2") means that the model is better than Trelis/SmolLM-135M-layer-pruned-90M-raw.

Rank the SmolLM 135M Layer Pruned 90M Raw 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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