The new k2 horizon models seem like an absolute beast
Summary
The k2 horizon AI models, particularly the 7B variant, are praised for outperforming muse glimmer despite smaller size, with full open-sourcing that could set a new standard if benchmarks are accurate.
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Introducing K2 Horizon: Frontier Performance, Radically Open
K2 Horizon is introduced as a high-performance, radically open AI model or technology, aimed at advancing performance in its field.
@IFM_AI: Introducing K2 Horizon: a connected fleet of six foundation models ranging from 0.9 billion to 375 billion parameters. …
IFM AI introduces K2 Horizon, a fully open-source fleet of six foundation models ranging from 0.9B to 375B parameters, claiming frontier performance in coding and agentic tasks. The release is touted as the largest fully open-source model launch in AI history, with complete transparency and open access to training data and code.
@svpino: This is huge for anyone who wants to see open models succeed! First time I've seen open models release checkpoint-level…
The post highlights the release of K2 Horizon, a connected fleet of six open foundation models from 0.9B to 375B parameters, with checkpoint-level logs, training code, and evaluations, marking a significant step for open AI development.
quants for K2-Horizon are now available
Quantized versions of the K2-Horizon AI model series are now available for download on Hugging Face, supporting various sizes from 0.9B to 36B parameters. However, the llama.cpp support is still in progress, requiring a fork for use.
@ssahoo_: As per Artificial Analysis' updated Evals, our K2-Horizon-400B-Moe model still beats Thinking Machine's Inkling model. …
IFM AI's K2-Horizon-400B-MoE continues to outperform Thinking Machine's Inkling on Artificial Analysis benchmarks, according to a team member highlighting the year-old lab's progress.