[whatmodel.sh](../../README.md) / K2 Horizon 7B
# K2 Horizon 7B
Institute of Foundation Models (MBZUAI) · released 2026-09
[Model and usage documentation](https://huggingface.co/IFM/K2-Horizon-7B)
Published measurements are available, but there is not enough shared evaluation data to calculate a comparable overall score yet.
test result reported by source
HMMT February 2026 73.3% maker IFM/K2-Horizon-7B model card
SWE-bench Verified 70.6% maker IFM/K2-Horizon-7B model card
Humanity's Last Exam 18.6% maker IFM/K2-Horizon-7B model card
SciCode (level unspecified) 31.6% maker IFM/K2-Horizon-7B model card
Terminal-Bench 2.1 39.1% maker IFM/K2-Horizon-7B model card
BrowseComp with context management 59.0% maker IFM/K2-Horizon-7B model card
τ³-bench Banking 25.8% maker IFM/K2-Horizon-7B model card
Licences: IFM/K2-Horizon-7B model card ([Apache-2.0](../../licenses/cards-gap-NOTICE.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 K2 Horizon 7B (gguf-q4_k_m, needs ~5.9 GB, from [huggingface.co/IFM](https://huggingface.co/IFM/K2-Horizon-7B-GGUF/tree/main))
```sh
llama cli -hf IFM/K2-Horizon-7B-GGUF:Q4_K_M
```
3. Or start a local server and open the address it prints (http://localhost:9931)
```sh
llama serve -hf IFM/K2-Horizon-7B-GGUF:Q4_K_M
```
Other versions: gguf-q8_0 (~11.3 GB) `llama cli -hf IFM/K2-Horizon-7B-GGUF:Q8_0`
### 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 K2 Horizon 7B (gguf-q4_k_m, needs ~5.9 GB, from [huggingface.co/IFM](https://huggingface.co/IFM/K2-Horizon-7B-GGUF/tree/main))
```sh
lms get https://huggingface.co/IFM/K2-Horizon-7B-GGUF@Q4_K_M -y
```
3. Then run lms ls to see its name, and lms chat followed by that name
Other versions: gguf-q8_0 (~11.3 GB) `lms get https://huggingface.co/IFM/K2-Horizon-7B-GGUF@Q8_0 -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 K2 Horizon 7B (gguf-q4_k_m, needs ~5.9 GB, from [huggingface.co/IFM](https://huggingface.co/IFM/K2-Horizon-7B-GGUF/tree/main))
```sh
ollama run hf.co/IFM/K2-Horizon-7B-GGUF:Q4_K_M
```
Other versions: gguf-q8_0 (~11.3 GB) `ollama run hf.co/IFM/K2-Horizon-7B-GGUF:Q8_0`
Model repository and documentation: [huggingface.co/IFM](https://huggingface.co/IFM/K2-Horizon-7B)
[Sources and licences](../method.md#sources) · [raw data](../../data/results.json) · [interactive version](https://whatmodel.sh/model/k2-horizon-7b)