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Penny 1.7B by dleemiller

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Penny 1.7B is an open-source language model by dleemiller. Features: 1.7b LLM, VRAM: 6.9GB, Context: 8K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.2.

  Autotrain compatible Base model:finetune:huggingfac... Base model:huggingfacetb/smoll...   Conversational   En   Endpoints compatible   Instruct   Llama   Onnx   Region:us   Safetensors   Sharded   Tensorflow   Transformers.js
Model Card on HF 🤗: https://huggingface.co/dleemiller/Penny-1.7B 

Penny 1.7B Benchmarks

LLME Score: 0.20345
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Penny 1.7B (dleemiller/Penny-1.7B)
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Penny 1.7B Parameters and Internals

LLM NamePenny 1.7B
Repository 🤗https://huggingface.co/dleemiller/Penny-1.7B 
Base Model(s)  HuggingFaceTB/SmolLM2-1.7B-Instruct   HuggingFaceTB/SmolLM2-1.7B-Instruct
Model Size1.7b
Required VRAM6.9 GB
Updated2025-09-23
Maintainerdleemiller
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.9 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.51.3
Tokenizer ClassGPT2Tokenizer
Padding Token<|im_end|>
Vocabulary Size49152
Torch Data Typefloat32

Best Alternatives to Penny 1.7B

Best Alternatives
Context / RAM
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SmolLM2 1.7B Instruct 16K16K / 3.4 GB44910
SmolLM2 1.7B Instruct8K / 3.4 GB104194724
...ygnis Alpha 1.7B V0.1 Instruct8K / 3.4 GB5222
SmolLM2 1.7B Instruct8K / 3.4 GB18534
SmolTulu 1.7B Reinforced8K / 3.4 GB105
SmolLM2 1.7 Persona8K / 3.5 GB110
Superthoughts Lite V18K / 3.4 GB123
...ghts Lite 1.8B Experimental O18K / 3.6 GB82
Cllm 1.0.0 340000 Instruct8K / 3.5 GB50
SmolLM2 1.7B Open Thought8K / 3.4 GB31
Note: green Score (e.g. "73.2") means that the model is better than dleemiller/Penny-1.7B.

Rank the Penny 1.7B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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