Smollm 360M Cpt Fineweb Norwegian Nynorsk by jekunz

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Smollm 360M Cpt Fineweb Norwegian Nynorsk is an open-source language model by jekunz. Features: 360m LLM, VRAM: 1.4GB, Context: 8K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.19.

  Autotrain compatible Base model:finetune:huggingfac... Base model:huggingfacetb/smoll...   Conversational Dataset:huggingfacefw/fineweb-...   Endpoints compatible   Instruct   Llama   No   Region:us   Safetensors

Smollm 360M Cpt Fineweb Norwegian Nynorsk Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Smollm 360M Cpt Fineweb Norwegian Nynorsk (jekunz/smollm-360m-cpt-fineweb-norwegian-nynorsk)
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Smollm 360M Cpt Fineweb Norwegian Nynorsk Parameters and Internals

LLM NameSmollm 360M Cpt Fineweb Norwegian Nynorsk
Repository ๐Ÿค—https://huggingface.co/jekunz/smollm-360m-cpt-fineweb-norwegian-nynorsk 
Base Model(s)  SmolLM2 360M Instruct   HuggingFaceTB/SmolLM2-360M-Instruct
Model Size360m
Required VRAM1.4 GB
Updated2025-09-23
Maintainerjekunz
Model Typellama
Instruction-BasedYes
Model Files  1.4 GB   0.0 GB
Supported Languagesno
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.49.0.dev0
Tokenizer ClassGPT2Tokenizer
Padding Token<|im_end|>
Vocabulary Size49152
Torch Data Typefloat32

Best Alternatives to Smollm 360M Cpt Fineweb Norwegian Nynorsk

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Context / RAM
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Likes
SmolLM2 360M Instruct8K / 0.7 GB446881185
Smollm3 720prms8K / 0.7 GB460
ProseFlow V1 360M Instruct8K / 0.7 GB80
SmolLM2 Rethink 360M8K / 1.4 GB71
SolaraV2 Coder 05118K / 0.7 GB51
BrainrotLM Assistant 362M8K / 0 GB70
SmolLM2 CoT 360M8K / 1.4 GB819
...n Combined Instruction Dataset8K / 1.4 GB71
SmolLM2 360M Instruct Ita8K / 0.7 GB16050
SmolLM2 360M Instruct8K / 0.7 GB16414
Note: green Score (e.g. "73.2") means that the model is better than jekunz/smollm-360m-cpt-fineweb-norwegian-nynorsk.

Rank the Smollm 360M Cpt Fineweb Norwegian Nynorsk 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 v20260328a