What are the hardware requirements for Smol Hub Tldr?

Smol Hub Tldr requires approximately 0.7 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 Smol Hub Tldr and how large is it?

Smol Hub Tldr is developed by davanstrien, a model with 360m 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 Smol Hub Tldr?

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

Smol Hub Tldr by davanstrien — VRAM 0.7GB, 8K context

Name: Smol Hub Tldr
Author: davanstrien

Smol Hub Tldr is an open-source language model by davanstrien. Features: 360m LLM, VRAM: 0.7GB, Context: 8K, License: mit, LLM Explorer Score: 0.17.

Base model:finetune:huggingfac... Base model:huggingfacetb/smoll... Conversational Dataset:davanstrien/hub-tldr-d... Dataset:davanstrien/hub-tldr-m... Doi:10.57967/hf/5664 Endpoints compatible Generated from trainer Llama Region:us Safetensors Sft Tensorboard Trl

Model Card on HF 🤗: https://huggingface.co/davanstrien/Smol-Hub-tldr

Smol Hub Tldr Parameters and Internals

LLM Name	Smol Hub Tldr
Repository 🤗	https://huggingface.co/davanstrien/Smol-Hub-tldr
Model Name	SmolLM2-360M-tldr-sft-2025-02-12_15-13
Base Model(s)	SmolLM2 360M HuggingFaceTB/SmolLM2-360M
Model Size	360m
Required VRAM	0.7 GB
Updated	2026-07-07
Maintainer	davanstrien
Model Type	llama
Model Files	0.7 GB 0.0 GB
Model Architecture	LlamaForCausalLM
License	mit
Context Length	8192
Model Max Length	8192
Transformers Version	4.52.3
Tokenizer Class	GPT2Tokenizer
Padding Token	[PAD]
Vocabulary Size	49159
Torch Data Type	bfloat16

Rank the Smol Hub Tldr 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 Smol Hub Tldr

Best Alternatives	Context / RAM	Downloads	Likes
Smol Lm2 360 Instruct	8K / 0.7 GB	344	3
SmolLM2 360M Instruct	8K / 0.7 GB	476032	208
Smollm2 360M Text2sql Sft	8K / 1.4 GB	194	0
Nuevamol 360M Init	8K / 0.7 GB	21	0
Nuevamol 360M 6Btok Wd5	8K / 0.6 GB	6	0
SmolLM2 360M	8K / 0.7 GB	92148	115
Smollm3 720prms	8K / 0.7 GB	5	0
Auto Completer 0.1	8K / 1.4 GB	7	1
ProseFlow V1 360M Instruct	8K / 0.7 GB	5	1
TwinSmolLM2 360M	8K / 0.7 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than davanstrien/Smol-Hub-tldr.