unsloth / SmolLM2-1.7B-Instruct

huggingface.co
Total runs: 6.2K
24-hour runs: 18
7-day runs: 566
30-day runs: 512
Model's Last Updated: November 04 2024
text-generation

Introduction of SmolLM2-1.7B-Instruct

Model Details of SmolLM2-1.7B-Instruct

Finetune SmolLM2, Llama 3.2, Gemma 2, Mistral 2-5x faster with 70% less memory via Unsloth!

We have a free Google Colab Tesla T4 notebook for Llama 3.2 (3B) here: https://colab.research.google.com/drive/1Ys44kVvmeZtnICzWz0xgpRnrIOjZAuxp?usp=sharing

unsloth/SmolLM2-1.7B-Instruct

For more details on the model, please go to Hugging Face's original model card

✨ Finetune for Free

All notebooks are beginner friendly ! Add your dataset, click "Run All", and you'll get a 2x faster finetuned model which can be exported to GGUF, vLLM or uploaded to Hugging Face.

Unsloth supports Free Notebooks Performance Memory use
Llama-3.2 (3B) ▶️ Start on Colab 2.4x faster 58% less
Llama-3.2 (11B vision) ▶️ Start on Colab 2.4x faster 58% less
Llama-3.1 (8B) ▶️ Start on Colab 2.4x faster 58% less
Phi-3.5 (mini) ▶️ Start on Colab 2x faster 50% less
Gemma 2 (9B) ▶️ Start on Colab 2.4x faster 58% less
Mistral (7B) ▶️ Start on Colab 2.2x faster 62% less
DPO - Zephyr ▶️ Start on Colab 1.9x faster 19% less
Special Thanks

A huge thank you to the Hugging Face team for creating and releasing these models.

Model Summary

SmolLM2 is a family of compact language models available in three size: 135M, 360M, and 1.7B parameters. They are capable of solving a wide range of tasks while being lightweight enough to run on-device.

The 1.7B variant demonstrates significant advances over its predecessor SmolLM1-1.7B, particularly in instruction following, knowledge, reasoning, and mathematics. It was trained on 11 trillion tokens using a diverse dataset combination: FineWeb-Edu, DCLM, The Stack, along with new mathematics and coding datasets that we curated and will release soon. We developed the instruct version through supervised fine-tuning (SFT) using a combination of public datasets and our own curated datasets. We then applied Direct Preference Optimization (DPO) using UltraFeedback .

The instruct model additionally supports tasks such as text rewriting, summarization and function calling thanks to datasets developed by Argilla such as Synth-APIGen-v0.1 .

SmolLM2

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Runs of unsloth SmolLM2-1.7B-Instruct on huggingface.co

6.2K
Total runs
18
24-hour runs
25
3-day runs
566
7-day runs
512
30-day runs

More Information About SmolLM2-1.7B-Instruct huggingface.co Model

More SmolLM2-1.7B-Instruct license Visit here:

https://choosealicense.com/licenses/apache-2.0

SmolLM2-1.7B-Instruct huggingface.co

SmolLM2-1.7B-Instruct huggingface.co is an AI model on huggingface.co that provides SmolLM2-1.7B-Instruct's model effect (), which can be used instantly with this unsloth SmolLM2-1.7B-Instruct model. huggingface.co supports a free trial of the SmolLM2-1.7B-Instruct model, and also provides paid use of the SmolLM2-1.7B-Instruct. Support call SmolLM2-1.7B-Instruct model through api, including Node.js, Python, http.

SmolLM2-1.7B-Instruct huggingface.co Url

https://huggingface.co/unsloth/SmolLM2-1.7B-Instruct

unsloth SmolLM2-1.7B-Instruct online free

SmolLM2-1.7B-Instruct huggingface.co is an online trial and call api platform, which integrates SmolLM2-1.7B-Instruct's modeling effects, including api services, and provides a free online trial of SmolLM2-1.7B-Instruct, you can try SmolLM2-1.7B-Instruct online for free by clicking the link below.

unsloth SmolLM2-1.7B-Instruct online free url in huggingface.co:

https://huggingface.co/unsloth/SmolLM2-1.7B-Instruct

SmolLM2-1.7B-Instruct install

SmolLM2-1.7B-Instruct is an open source model from GitHub that offers a free installation service, and any user can find SmolLM2-1.7B-Instruct on GitHub to install. At the same time, huggingface.co provides the effect of SmolLM2-1.7B-Instruct install, users can directly use SmolLM2-1.7B-Instruct installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

SmolLM2-1.7B-Instruct install url in huggingface.co:

https://huggingface.co/unsloth/SmolLM2-1.7B-Instruct

Url of SmolLM2-1.7B-Instruct

SmolLM2-1.7B-Instruct huggingface.co Url

Provider of SmolLM2-1.7B-Instruct huggingface.co

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