What are the hardware requirements for SimpleLlamaSentences?

SimpleLlamaSentences requires a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed SimpleLlamaSentences and how large is it?

SimpleLlamaSentences is developed by SummerSigh, a model with 4.6m 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 SimpleLlamaSentences?

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

SimpleLlamaSentences by SummerSigh — 2K context

Name: SimpleLlamaSentences
Author: SummerSigh

SimpleLlamaSentences is an open-source language model by SummerSigh. Features: 4.6m LLM, Context: 2K, LLM Explorer Score: 0.13.

Endpoints compatible Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/SummerSigh/SimpleLlamaSentences

SimpleLlamaSentences Parameters and Internals

LLM Name	SimpleLlamaSentences
Repository 🤗	https://huggingface.co/SummerSigh/SimpleLlamaSentences
Model Size	4.6m
Required VRAM	0 GB
Updated	2026-07-25
Maintainer	SummerSigh
Model Type	llama
Model Files	0.0 GB 0.0 GB 0.0 GB 0.0 GB
Model Architecture	LlamaForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.41.2
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32001
Torch Data Type	float32

Rank the SimpleLlamaSentences 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 SimpleLlamaSentences

Best Alternatives	Context / RAM	Downloads	Likes
TinyLLama V0	2K / 0 GB	231176	45
UniversalNER TinyLLama	2K / 0 GB	10	1
UniversalNER TinyLLama	2K / 0 GB	6	1
Q4 Llama 3	8K / 6.1 GB	12	0
Llama3 Finetune 4bit	8K / 6.1 GB	0	0

Note: green Score (e.g. "73.2") means that the model is better than SummerSigh/SimpleLlamaSentences.