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SmolLM 135M Instruct Fp16 by mlx-community

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  Autotrain compatible   Conversational   En   Endpoints compatible   Fp16   Instruct   Llama   Mlx   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/mlx-community/SmolLM-135M-Instruct-fp16 

SmolLM 135M Instruct Fp16 Benchmarks

LLME Score: 0.18402
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SmolLM 135M Instruct Fp16 (mlx-community/SmolLM-135M-Instruct-fp16)

SmolLM 135M Instruct Fp16 Parameters and Internals

LLM NameSmolLM 135M Instruct Fp16
Repository 🤗https://huggingface.co/mlx-community/SmolLM-135M-Instruct-fp16 
Model Size135m
Required VRAM0.3 GB
Updated2025-06-01
Maintainermlx-community
Model Typellama
Instruction-BasedYes
Model Files  0.3 GB
Supported Languagesen
Quantization Typefp16
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 135M Instruct Bnb 4bit8K / 0.1 GB15432
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SmolLM 135M Instruct 8bit2K / 0.1 GB102
SmolLM2 135M Instruct8K / 0.3 GB179618196
SmolLM2 135M Instruct Ita8K / 0.1 GB110
SmolLM2 135M Instruct8K / 0.3 GB19593
SmolLM2 135M Grpo Gsm8k8K / 0.5 GB577
...wre324 R1 SmolLM2 135M Distill8K / 0.5 GB70
...molLM2 135M Instruct Reasoning8K / 0.3 GB70
...rtis SmolLM2 135M Instruct DPO8K / 0.5 GB80
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/SmolLM-135M-Instruct-fp16.

Rank the SmolLM 135M Instruct Fp16 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 v20241227
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