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SmolLM 135M Instruct Layer Pruned 90M Raw by Trelis

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  Autotrain compatible Base model:finetune:huggingfac... Base model:huggingfacetb/smoll...   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Trelis/SmolLM-135M-Instruct-layer-pruned-90M-raw 

SmolLM 135M Instruct Layer Pruned 90M Raw Benchmarks

LLME Score: 0.19755
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 Layer Pruned 90M Raw (Trelis/SmolLM-135M-Instruct-layer-pruned-90M-raw)

SmolLM 135M Instruct Layer Pruned 90M Raw Parameters and Internals

Additional Notes 
Layers are removed from the top of the model (except for the last layer) in order to reduce the parameter count to approximately 99M.
LLM NameSmolLM 135M Instruct Layer Pruned 90M Raw
Repository 🤗https://huggingface.co/Trelis/SmolLM-135M-Instruct-layer-pruned-90M-raw 
Base Model(s)  SmolLM 135M Instruct   HuggingFaceTB/SmolLM-135M-Instruct
Model Size135m
Required VRAM0.2 GB
Updated2025-06-01
MaintainerTrelis
Model Typellama
Instruction-BasedYes
Model Files  0.2 GB
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.44.2
Tokenizer ClassGPT2Tokenizer
Padding Token<|im_end|>
Vocabulary Size49152
Torch Data Typebfloat16

Best Alternatives to SmolLM 135M Instruct Layer Pruned 90M Raw

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SmolLM2 135M Instruct8K / 0.3 GB179618196
SmolLM2 135M Instruct Ita8K / 0.1 GB110
SmolLM2 135M Instruct8K / 0.3 GB19593
SmolLM2 135M Grpo Gsm8k8K / 0.5 GB577
...wre324 R1 SmolLM2 135M Distill8K / 0.5 GB70
...molLM2 135M Instruct Reasoning8K / 0.3 GB70
...rtis SmolLM2 135M Instruct DPO8K / 0.5 GB80
Kurtis SmolLM2 135M Instruct8K / 0.5 GB80
Reasoning SmolLM2 135M8K / 0.5 GB1045
Jaja Small V48K / 0.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than Trelis/SmolLM-135M-Instruct-layer-pruned-90M-raw.

Rank the SmolLM 135M Instruct 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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Release v20241227
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