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SmolLM 360M Instruct by mlx-community

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SmolLM 360M Instruct is an open-source language model by mlx-community. Features: 360m LLM, VRAM: 0.7GB, Context: 2K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.15.

  Alignment-handbook Base model:finetune:huggingfac... Base model:huggingfacetb/smoll...   Conversational Dataset:bigcode/self-oss-instr... Dataset:huggingfacetb/everyday... Dataset:magpie-align/magpie-pr...   Dataset:teknium/openhermes-2.5   En   Endpoints compatible   Instruct   Llama   Mlx   Region:us   Safetensors   Sft   Trl
Model Card on HF 🤗: https://huggingface.co/mlx-community/SmolLM-360M-Instruct 

SmolLM 360M Instruct Benchmarks

LLME Score: 0.14697
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SmolLM 360M Instruct (mlx-community/SmolLM-360M-Instruct)
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SmolLM 360M Instruct Parameters and Internals

Model Type 
instruct
Additional Notes 
The model was converted to MLX format using mlx-lm version 0.17.0.
Supported Languages 
en (unknown)
Training Details 
Data Sources:
Magpie-Align/Magpie-Pro-300K-Filtered, bigcode/self-oss-instruct-sc2-exec-filter-50k, teknium/OpenHermes-2.5, HuggingFaceTB/everyday-conversations-llama3.1-2k
LLM NameSmolLM 360M Instruct
Repository 🤗https://huggingface.co/mlx-community/SmolLM-360M-Instruct 
Base Model(s)  SmolLM 360M   HuggingFaceTB/SmolLM-360M
Model Size360m
Required VRAM0.7 GB
Updated2026-04-04
Maintainermlx-community
Model Typellama
Instruction-BasedYes
Model Files  0.7 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

Best Alternatives to SmolLM 360M Instruct

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Context / RAM
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SmolLM2 360M Instruct8K / 0.7 GB179844186
Smollm3 720prms8K / 0.7 GB740
ProseFlow V1 360M Instruct8K / 0.7 GB21
SmolLM2 360M Instruct8K / 0.7 GB115264
SmolLM2 Rethink 360M8K / 1.4 GB71
SolaraV2 Coder 05118K / 0.7 GB41
BrainrotLM Assistant 362M8K / 0 GB50
SmolLM2 CoT 360M8K / 1.4 GB279
...n Combined Instruction Dataset8K / 1.4 GB41
... Cpt Fineweb Norwegian Nynorsk8K / 1.4 GB60
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/SmolLM-360M-Instruct.

Rank the SmolLM 360M 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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