Create README.md
Browse files
README.md
ADDED
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
pipeline_tag: text-generation
|
4 |
+
tags:
|
5 |
+
- cortex.cpp
|
6 |
+
---
|
7 |
+
|
8 |
+
## Overview
|
9 |
+
|
10 |
+
SmolLM2 is a family of compact language models available in three sizes: 135M, 360M, and 1.7B parameters. These models are designed to solve a wide range of tasks while being lightweight enough for on-device deployment. More details can be found in the [SmolLM2 paper](https://arxiv.org/abs/2502.02737v1).
|
11 |
+
|
12 |
+
The **1.7B variant** demonstrates significant improvements over its predecessor, SmolLM1-1.7B, especially in instruction following, knowledge retention, reasoning, and mathematical problem-solving. It was trained on **11 trillion tokens** using a diverse dataset combination, including **FineWeb-Edu, DCLM, The Stack**, and newly curated mathematics and coding datasets that will be released soon.
|
13 |
+
|
14 |
+
The **instruct version** of SmolLM2 was developed through **supervised fine-tuning (SFT)** using a mix of public datasets and curated proprietary datasets. It further benefits from **Direct Preference Optimization (DPO)** using **UltraFeedback**.
|
15 |
+
|
16 |
+
Additionally, the instruct model supports tasks such as **text rewriting, summarization, and function calling**, enabled by datasets from **Argilla**, including **Synth-APIGen-v0.1**. The SFT dataset is available at: [SmolTalk SFT Dataset](https://huggingface.co/datasets/HuggingFaceTB/smoltalk).
|
17 |
+
|
18 |
+
For further details, visit the [SmolLM2 GitHub repository](https://github.com/huggingface/smollm), where you will find resources for **pre-training, post-training, evaluation, and local inference**.
|
19 |
+
|
20 |
+
## Variants
|
21 |
+
|
22 |
+
| No | Variant | Cortex CLI command |
|
23 |
+
| -- | ------------------------------------------------------ | ---------------------- |
|
24 |
+
| 1 | [gguf](https://huggingface.co/cortexso/smollm2/tree/main) | `cortex run smollm2` |
|
25 |
+
|
26 |
+
## Use it with Jan (UI)
|
27 |
+
|
28 |
+
1. Install **Jan** using [Quickstart](https://jan.ai/docs/quickstart)
|
29 |
+
2. Use in Jan model Hub:
|
30 |
+
```bash
|
31 |
+
cortexhub/smollm2
|
32 |
+
```
|
33 |
+
|
34 |
+
## Use it with Cortex (CLI)
|
35 |
+
|
36 |
+
1. Install **Cortex** using [Quickstart](https://cortex.jan.ai/docs/quickstart)
|
37 |
+
2. Run the model with command:
|
38 |
+
```bash
|
39 |
+
cortex run smollm2
|
40 |
+
```
|
41 |
+
|
42 |
+
## Credits
|
43 |
+
|
44 |
+
- **Author:** SmolLM2 Team
|
45 |
+
- **Converter:** [Homebrew](https://www.homebrew.ltd/)
|
46 |
+
- **Original License:** [Apache 2.0](https://huggingface.co/smollm2/blob/main/LICENSE.txt)
|
47 |
+
- **Papers:** [SmolLM2 Research](https://arxiv.org/abs/2502.02737v1)
|