SmolLM2 135M Instruct Q8 Mlx by HuggingFaceTB

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SmolLM2 135M Instruct Q8 Mlx is an open-source language model by HuggingFaceTB. Features: 135m LLM, VRAM: 0.1GB, Context: 8K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.17.

  8-bit Base model:huggingfacetb/smoll... Base model:quantized:huggingfa...   Conversational   En   Endpoints compatible   Instruct   Llama   Mlx   Mlx-my-repo   Onnx   Q8   Quantized   Region:us   Safetensors   Transformers.js

SmolLM2 135M Instruct Q8 Mlx Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

SmolLM2 135M Instruct Q8 Mlx Parameters and Internals

LLM NameSmolLM2 135M Instruct Q8 Mlx
Repository 🤗https://huggingface.co/HuggingFaceTB/SmolLM2-135M-Instruct-Q8-mlx 
Base Model(s)  SmolLM2 135M Instruct   HuggingFaceTB/SmolLM2-135M-Instruct
Model Size135m
Required VRAM0.1 GB
Updated2026-03-30
MaintainerHuggingFaceTB
Model Typellama
Instruction-BasedYes
Model Files  0.1 GB
Supported Languagesen
Quantization Typeq8
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.42.3
Tokenizer ClassGPT2Tokenizer
Padding Token<|im_end|>
Vocabulary Size49152
Torch Data Typebfloat16

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SmolLM2 135M Instruct Bnb 4bit8K / 0.1 GB12133
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SmolLM 135M Instruct Fp162K / 0.3 GB92
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SmolLM2 Rethink 135M8K / 0.5 GB322
SmolLM2 135M Instruct Ita8K / 0.1 GB240
...molLM2 135M Instruct Reasoning8K / 0.3 GB70
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SmolLM2 135M Instruct8K / 0.3 GB22510
Note: green Score (e.g. "73.2") means that the model is better than HuggingFaceTB/SmolLM2-135M-Instruct-Q8-mlx.

Rank the SmolLM2 135M Instruct Q8 Mlx 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