What are the hardware requirements for Penny 1.7B?

Penny 1.7B requires approximately 6.9 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Penny 1.7B and how large is it?

Penny 1.7B is developed by dleemiller, a model with 1.7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Penny 1.7B?

Penny 1.7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Penny 1.7B by dleemiller — VRAM 6.9GB, 8K context

Name: Penny 1.7B
Author: dleemiller

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: 0.18.

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 Parameters and Internals

LLM Name	Penny 1.7B
Repository 🤗	https://huggingface.co/dleemiller/Penny-1.7B
Base Model(s)	HuggingFaceTB/SmolLM2-1.7B-Instruct HuggingFaceTB/SmolLM2-1.7B-Instruct
Model Size	1.7b
Required VRAM	6.9 GB
Updated	2026-08-06
Maintainer	dleemiller
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.9 GB: 2-of-2
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.51.3
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	49152
Torch Data Type	float32

Rank the Penny 1.7B capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Penny 1.7B

Best Alternatives	Context / RAM	Downloads	Likes
SmolLM2 1.7B Instruct 16K	16K / 3.4 GB	103	10
SmolLM2 1.7B Instruct	8K / 3.4 GB	154013	742
Yoru	8K / 3.4 GB	309	0
SmolLM2 1.7B Instruct	8K / 3.4 GB	4909	6
...ygnis Alpha 1.7B V0.1 Instruct	8K / 3.4 GB	11	2
SmolTulu 1.7B Reinforced	8K / 3.4 GB	12	5
SmolLM2 1.7 Persona	8K / 3.5 GB	7	0
Superthoughts Lite V1	8K / 3.4 GB	92	3
...ghts Lite 1.8B Experimental O1	8K / 3.6 GB	11	2
Cllm 1.0.0 340000 Instruct	8K / 3.5 GB	5	0

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