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SmolLM 1.7B Instruct 8bit by mlx-community

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SmolLM 1.7B Instruct 8bit is an open-source language model by mlx-community. Features: 1.7b LLM, VRAM: 1.8GB, 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-1.7B-Instruct-8bit 

SmolLM 1.7B Instruct 8bit Benchmarks

LLME Score: 0.14065
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SmolLM 1.7B Instruct 8bit (mlx-community/SmolLM-1.7B-Instruct-8bit)
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SmolLM 1.7B Instruct 8bit Parameters and Internals

LLM NameSmolLM 1.7B Instruct 8bit
Repository 🤗https://huggingface.co/mlx-community/SmolLM-1.7B-Instruct-8bit 
Model Size1.7b
Required VRAM1.8 GB
Updated2026-05-25
Maintainermlx-community
Model Typellama
Instruction-BasedYes
Model Files  1.8 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

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SmolLM2 1.7B Instruct8K / 3.4 GB17476
...ygnis Alpha 1.7B V0.1 Instruct8K / 3.4 GB1702
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Penny 1.7B8K / 6.9 GB17024
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/SmolLM-1.7B-Instruct-8bit.

Rank the SmolLM 1.7B Instruct 8bit 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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