[whatmodel.sh](../../README.md) / Sky-T1 32B Preview
# Sky-T1 32B Preview
NovaSky (UC Berkeley) · released 2025-01 · 32.76B params · apache-2.0
**score 56.7** ±4.4 · #250 of 732 · from 3 benchmark results across 2 sources
Score within the [LMArena (text)](https://whatmodel.sh/?set=lmarena-text&score=set) comparison set only.
## What it's good at
● marks Sky-T1 32B Preview among every model on that task or test, worst to best.
task vs the others rank counts tests
agent tasks ▁▁▃●█▄▅▅▄▄▂▁ #257 of 313* 43% 1
agent tasks · #257 of 313 · 43% of its score
Beats [DeepSeek R1 0528 Qwen3 8B](deepseek-r1-0528-qwen3-8b.md) here, though they rank higher overall. Trails [Granite 4.0 1B](granite-4-0-1b.md), [SmolLM3 3B](smollm3-3b.md), [Qwen3-VL 2B Instruct](qwen3-vl-2b-instruct.md) here, though they rank lower overall.
test result vs the others in its run difficulty counts why
BFCL v3 52.4% ▁▁▁▁▁▃▅●▅▄▁▁ beats 46/114 medium · avg 51% 43% blunt · at its level
other tests (2)
test result vs the others in its run difficulty counts why
EuroEval HellaSwag (English), tes… 91.0% ▃·▁▁▂▁▂▅█▇●▁ beats 94/100 medium · avg 67% 31% sharp · at its level · noisy
EuroEval Life in the UK (English … 93.8% ▁▁▁▁▁▁▁▂▄█▄● beats 132/146 easy · avg 82% 17% noisy
source results share of the score
EuroEval leaderboards 2 48% ▇▇▇▇▇▇
Berkeley Function Calling Leaderboard r… 1 43% ▇▇▇▇▇
prior: pull toward the middle 9% ▇
weighted average = 56.7
Licences: EuroEval leaderboards ([MIT](https://github.com/EuroEval/leaderboards/blob/1a77f1d2f8ba1ba05ab73287fb090d76bf41b2e0/LICENSE)) · Berkeley Function Calling Leaderboard result archive ([Apache-2.0](../../licenses/bfcl-result-archive-v4-Apache-2.0.txt))
## How to run it
### llama.cpp (recommended)
1. Install llama.cpp. Homebrew and winget installs name the commands llama-cli and llama-server instead. [Other ways to install](https://github.com/ggml-org/llama.cpp/blob/master/docs/install.md)
```sh
# macOS / Linux
curl -LsSf https://llama.app/install.sh | sh
# Windows
irm https://llama.app/install.ps1 | iex
```
2. Run Sky-T1 32B Preview (Q4_K_M, needs ~19.85 GB, from [huggingface.co/bartowski](https://huggingface.co/bartowski/Sky-T1-32B-Preview-GGUF/tree/4e54d0a46412fce56f2dc0a561c999a0378b1244))
```sh
llama cli -hf bartowski/Sky-T1-32B-Preview-GGUF:Q4_K_M
```
3. Or start a local server and open the address it prints (http://localhost:9931)
```sh
llama serve -hf bartowski/Sky-T1-32B-Preview-GGUF:Q4_K_M
```
### LM Studio
1. Install LM Studio. Open the app once before using the lms command. [Download it (macOS / Windows / Linux)](https://lmstudio.ai/download)
2. Run Sky-T1 32B Preview (Q4_K_M, needs ~19.85 GB, from [huggingface.co/bartowski](https://huggingface.co/bartowski/Sky-T1-32B-Preview-GGUF/tree/4e54d0a46412fce56f2dc0a561c999a0378b1244))
```sh
lms get https://huggingface.co/bartowski/Sky-T1-32B-Preview-GGUF@Q4_K_M -y
```
3. Then run lms ls to see its name, and lms chat followed by that name
Other versions: 4bit (~18.4 GB, Mac only) `lms get https://huggingface.co/mlx-community/Sky-T1-32B-Preview-4bit -y` · 8bit (~34.8 GB, Mac only) `lms get https://huggingface.co/mlx-community/Sky-T1-32B-Preview-8bit -y`
### Ollama
1. Install Ollama. [Download it (macOS / Windows)](https://ollama.com/download)
```sh
# Linux
curl -fsSL https://ollama.com/install.sh | sh
```
2. Run Sky-T1 32B Preview (Q4_K_M, needs ~19.85 GB, from [huggingface.co/bartowski](https://huggingface.co/bartowski/Sky-T1-32B-Preview-GGUF/tree/4e54d0a46412fce56f2dc0a561c999a0378b1244))
```sh
ollama run hf.co/bartowski/Sky-T1-32B-Preview-GGUF:Q4_K_M
```
### MLX (Mac)
1. Install MLX (Mac). Apple silicon Macs only, text only.
```sh
# with uv
uv tool install mlx-lm
# or
pip install mlx-lm
```
2. Run Sky-T1 32B Preview (4bit, needs ~18.4 GB, Mac only, from [huggingface.co/mlx-community](https://huggingface.co/mlx-community/Sky-T1-32B-Preview-4bit/tree/ab7b2707012796ab42815581df96c684a915712c))
```sh
mlx_lm.chat --model mlx-community/Sky-T1-32B-Preview-4bit
```
3. Or start an OpenAI-compatible server at http://localhost:8080/v1
```sh
mlx_lm.server --model mlx-community/Sky-T1-32B-Preview-4bit
```
Other versions: 8bit (~34.8 GB, Mac only) `mlx_lm.chat --model mlx-community/Sky-T1-32B-Preview-8bit`
Model repository and documentation: [huggingface.co/NovaSky-AI](https://huggingface.co/NovaSky-AI/Sky-T1-32B-Preview)
[interactive version](https://whatmodel.sh/model/sky-t1-32b-preview) · [JSON](https://whatmodel.sh/api?format=json&all=1)