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SmolLM 360M Instruct 8bit by mlx-community

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SmolLM 360M Instruct 8bit is an open-source language model by mlx-community. Features: 360m LLM, VRAM: 0.4GB, Context: 2K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

  8bit   Conversational   En   Endpoints compatible   Instruct   Llama   Mlx   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/mlx-community/SmolLM-360M-Instruct-8bit 

SmolLM 360M Instruct 8bit Benchmarks

LLME Score: 0.1414
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 8bit (mlx-community/SmolLM-360M-Instruct-8bit)
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SmolLM 360M Instruct 8bit Parameters and Internals

Model Type 
text generation
Additional Notes 
The model has been converted to MLX format.
LLM NameSmolLM 360M Instruct 8bit
Repository 🤗https://huggingface.co/mlx-community/SmolLM-360M-Instruct-8bit 
Model Size360m
Required VRAM0.4 GB
Updated2026-05-24
Maintainermlx-community
Model Typellama
Instruction-BasedYes
Model Files  0.4 GB
Supported Languagesen
Quantization Type8bit
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 8bit

Best Alternatives
Context / RAM
Downloads
Likes
SmolLM2 360M Bnb 4bit8K / 0.3 GB18702
SmolLM2 360M Instruct Bnb 4bit8K / 0.3 GB10442
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
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/SmolLM-360M-Instruct-8bit.

Rank the SmolLM 360M Instruct 8bit Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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