K2 Horizon 0.9B
Description
K2 Horizon 0.9B is the compact dense member of IFM's (MBZUAI) fully open K2 Horizon family: a 0.9B-class decoder-only reasoning model (28 layers, smaller 64K vocabulary; about 1.08B parameters in the released safetensors) pretrained on 5T tokens and post-trained with multi-teacher distillation from math/code, STEM, and instruction-following experts followed by on-policy distillation. Supports English and Chinese and a 131,072-token (128K) context window via YaRN RoPE scaling. Text in, text out, with per-request reasoning effort (high recommended) and JSON/XML tool-call formats. Released 2026-09-03 under Apache 2.0 with BF16 weights plus a GGUF build, an optional Uno discrete-diffusion LoRA adapter for faster decoding, intermediate checkpoints, and training code. No priced provider is cataloged yet.
Capability Radar
Science is estimated from LLM Stats science scores or reasoning when no dedicated science benchmarks are available.
Rankings
| Domain | #Rank | Score | Source |
|---|---|---|---|
| Agentic Capability | 127 | 36.0 | LS |
Benchmark Scores (LLM Stats)
(LLM Stats (zeroeval))Math
Reasoning
Tool Calling
AA Evaluation Indices
(Artificial Analysis)No AA evaluation data available
LLM Stats Category Scores
(LLM Stats (zeroeval))Pricing
No pricing data available
Speed
No speed data available
Provider Price Ranking
No provider data available