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SmolLM2 1.7B Merged by vonjack

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SmolLM2 1.7B Merged is an open-source language model by vonjack. Features: 1.7b LLM, VRAM: 3.4GB, Context: 8K, Quantized, Instruction-Based, Merged, LLM Explorer Score: 0.19.

  Merged Model   Arxiv:2306.01708 Base model:huggingfacetb/smoll... Base model:huggingfacetb/smoll...   Conversational   Endpoints compatible   Gguf   Instruct   Llama   Q4   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/vonjack/SmolLM2-1.7B-Merged 

SmolLM2 1.7B Merged Benchmarks

LLME Score: 0.19449
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SmolLM2 1.7B Merged (vonjack/SmolLM2-1.7B-Merged)
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SmolLM2 1.7B Merged Parameters and Internals

LLM NameSmolLM2 1.7B Merged
Repository 🤗https://huggingface.co/vonjack/SmolLM2-1.7B-Merged 
Base Model(s)  HuggingFaceTB/SmolLM2-1.7B   HuggingFaceTB/SmolLM2-1.7B-Instruct   HuggingFaceTB/SmolLM2-1.7B   HuggingFaceTB/SmolLM2-1.7B-Instruct
Merged ModelYes
Model Size1.7b
Required VRAM3.4 GB
Updated2026-05-10
Maintainervonjack
Model Typellama
Instruction-BasedYes
Model Files  1.1 GB   3.4 GB: 1-of-1
GGUF QuantizationYes
Quantization Typeq4|gguf|q4_k
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.46.0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size49152
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than vonjack/SmolLM2-1.7B-Merged.

Rank the SmolLM2 1.7B Merged 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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