What are the hardware requirements for Smollm2 1.7B Smoltalk?

Smollm2 1.7B Smoltalk requires approximately 3.4 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 Smollm2 1.7B Smoltalk and how large is it?

Smollm2 1.7B Smoltalk is developed by ketchup123, 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 Smollm2 1.7B Smoltalk?

Smollm2 1.7B Smoltalk is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Smollm2 1.7B Smoltalk by ketchup123 — VRAM 3.4GB, 8K context

Name: Smollm2 1.7B Smoltalk
Author: ketchup123

Smollm2 1.7B Smoltalk is an open-source language model by ketchup123. Features: 1.7b LLM, VRAM: 3.4GB, Context: 8K, LLM Explorer Score: 0.18.

Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/ketchup123/smollm2-1.7b-smoltalk

Smollm2 1.7B Smoltalk Parameters and Internals

LLM Name	Smollm2 1.7B Smoltalk
Repository 🤗	https://huggingface.co/ketchup123/smollm2-1.7b-smoltalk
Model Size	1.7b
Required VRAM	3.4 GB
Updated	2026-08-08
Maintainer	ketchup123
Model Type	llama
Model Files	3.4 GB
Model Architecture	LlamaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.51.3
Tokenizer Class	GPT2Tokenizer
Padding Token	<pad>
Vocabulary Size	49160
Torch Data Type	bfloat16

Rank the Smollm2 1.7B Smoltalk 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 Smollm2 1.7B Smoltalk

Best Alternatives	Context / RAM	Downloads	Likes
...FT Tulu3 Decontaminated Masked	16K / 3.4 GB	342	0
...B 16K SFT Tulu3 Decontaminated	16K / 3.4 GB	146	0
SmolLM2 1.7B 16K	16K / 3.4 GB	12	0
SmolLM2 1.7B Instruct 16K	16K / 3.4 GB	103	10
SmolLM2 1.7B Instruct	8K / 3.4 GB	154013	742
SmolLM2 1.7B Instruct	8K / 3.4 GB	4909	6
Yoru	8K / 3.4 GB	309	0
Augmented B933f090bb558b88	8K / 3.4 GB	574	0
...FT Tulu3 Decontaminated Masked	8K / 3.4 GB	274	0
Banglish Companion	8K / 6.8 GB	1254	0

Note: green Score (e.g. "73.2") means that the model is better than ketchup123/smollm2-1.7b-smoltalk.