K2 Horizon 7B
Standard benchmarks
Performance across standard evaluations
| Benchmark | Score |
|---|---|
| GPQA Diamond | 75.3 |
| HLE | 18.2 |
| SciCode | 27.5 |
Source: Artificial Analysis component evals - updated 2026-11-01.
Will it run on your hardware?
Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest
Need an exact figure for your context length? Use the VRAM calculator.
Run it locally
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Deep dive
Notes, sources, and the full write-up
K2 Horizon 7B is a 7B-parameter apache-2.0 model from MBZUAI Institute of Foundation Models. At Q4_K_M it needs roughly 4 GB of VRAM, placing it in the CPU / ≤4 GB hardware tier.
PopularityLink to this section
K2 Horizon 7B has 26,399 downloads in the last month on HuggingFace and 39 likes.
Frequently asked
Quick answers to common questions
How much VRAM does K2 Horizon 7B need?
K2 Horizon 7B with 7B parameters needs significant VRAM depending on quantization. Use our VRAM calculator for an exact estimate.
Is K2 Horizon 7B better than other IFM models?
K2 Horizon 7B has 7B parameters with 8,192 context - a strong choice for general use.
What license is K2 Horizon 7B under?
K2 Horizon 7B is released under the apache-2.0 license, making it suitable for most commercial and personal projects.
What hardware runs K2 Horizon 7B well?
With 7B parameters, K2 Horizon 7B requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.
What is the best quantization for K2 Horizon 7B?
Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Step up to Q5_K_M or Q8_0 only if you have spare VRAM. Use our VRAM calculator to compare.
What models compete with K2 Horizon 7B?
K2 Horizon 7B competes with other models in its class. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.
Nearby options
Similar models and compatible hardware by spec