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SmolLM 1.7B Instruct 4bit by mlx-community

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  4bit   Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Llama   Mlx   Quantized   Region:us   Safetensors

SmolLM 1.7B Instruct 4bit Benchmarks

LLME Score: 0.22125
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 4bit Parameters and Internals

LLM NameSmolLM 1.7B Instruct 4bit
Repository 🤗https://huggingface.co/mlx-community/SmolLM-1.7B-Instruct-4bit 
Model Size1.7b
Required VRAM1 GB
Updated2024-11-21
Maintainermlx-community
Model Typellama
Instruction-BasedYes
Model Files  1.0 GB
Supported Languagesen
Quantization Type4bit
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
SmolLM 1.7B Instruct 4bit (mlx-community/SmolLM-1.7B-Instruct-4bit)

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...auerkrautLM SOLAR Instruct AWQ8K / 6 GB12
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Sakura SOLAR Instruct AWQ4K / 6 GB41
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/SmolLM-1.7B-Instruct-4bit.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110
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