What are the hardware requirements for SmolLM FT NYTCw?

SmolLM FT NYTCw requires approximately 0.5 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed SmolLM FT NYTCw and how large is it?

SmolLM FT NYTCw is developed by JHelhoski, a model with 134.5m 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 SmolLM FT NYTCw?

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

SmolLM FT NYTCw by JHelhoski — VRAM 0.5GB, 2K context

Name: SmolLM FT NYTCw
Author: JHelhoski

SmolLM FT NYTCw is an open-source language model by JHelhoski. Features: 134.5m LLM, VRAM: 0.5GB, Context: 2K, LLM Explorer Score: 0.19.

Base model:finetune:jhelhoski/... Base model:jhelhoski/smollm-ft... Endpoints compatible Generated from trainer Llama Region:us Safetensors Sft Tensorboard Trl

Model Card on HF 🤗: https://huggingface.co/JHelhoski/SmolLM-FT-NYTCw

SmolLM FT NYTCw Parameters and Internals

LLM Name	SmolLM FT NYTCw
Repository 🤗	https://huggingface.co/JHelhoski/SmolLM-FT-NYTCw
Model Name	SmolLM-FT-NYTCw
Base Model(s)	SmolLM FT NYTCw JHelhoski/SmolLM-FT-NYTCw
Model Size	134.5m
Required VRAM	0.5 GB
Updated	2026-07-29
Maintainer	JHelhoski
Model Type	llama
Model Files	0.5 GB 0.0 GB
Model Architecture	LlamaForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.55.0
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	49152
Torch Data Type	float32

Rank the SmolLM FT NYTCw 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 SmolLM FT NYTCw

Best Alternatives	Context / RAM	Downloads	Likes
BWork LLM	8K / 0.3 GB	8	0
HyzeMini	8K / 0.3 GB	26	1
Poker SmolLM	8K / 0.5 GB	1607	2
Policy Iteration 1	8K / 0.5 GB	86	0
SmolLM2 FT MyDataset	8K / 0.5 GB	5	0
SmolLM2 FT MyDataset	8K / 0.5 GB	7	0
Distilled Chat Ocra	8K / 0.5 GB	5	0
N1	2K / 0.5 GB	23	1
Value Iteration 1	2K / 0.5 GB	7	0
SmolLM FT CoEdIT	2K / 0.5 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than JHelhoski/SmolLM-FT-NYTCw.