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Smollm2 1.7B Smoltalk by ketchup123

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Smollm2 1.7B Smoltalk is an open-source language model by ketchup123. Features: 1.7b LLM, VRAM: 3.4GB, Context: 8K, LLM Explorer Score: 0.18.

  Llama   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/ketchup123/smollm2-1.7b-smoltalk 

Smollm2 1.7B Smoltalk Benchmarks

LLME Score: 0.18257
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 Smoltalk (ketchup123/smollm2-1.7b-smoltalk)
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Smollm2 1.7B Smoltalk Parameters and Internals

LLM NameSmollm2 1.7B Smoltalk
Repository 🤗https://huggingface.co/ketchup123/smollm2-1.7b-smoltalk 
Model Size1.7b
Required VRAM3.4 GB
Updated2025-09-19
Maintainerketchup123
Model Typellama
Model Files  3.4 GB
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.51.3
Tokenizer ClassGPT2Tokenizer
Padding Token<pad>
Vocabulary Size49160
Torch Data Typebfloat16

Best Alternatives to Smollm2 1.7B Smoltalk

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...FT Tulu3 Decontaminated Masked16K / 3.4 GB2710
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Augmented B933f090bb558b888K / 3.4 GB2960
...FT Tulu3 Decontaminated Masked8K / 3.4 GB1940
SmolLM2 1.7B Instruct8K / 3.4 GB12476
SmolLM2 1.7B8K / 3.4 GB44818155
...ygnis Alpha 1.7B V0.1 Instruct8K / 3.4 GB112
Note: green Score (e.g. "73.2") means that the model is better than ketchup123/smollm2-1.7b-smoltalk.

Rank the Smollm2 1.7B Smoltalk 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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