Kolibri 1
Active Parameters
78B
Context Length
262K
Modality
Text
Architecture
Mixture of Experts
KV Cache Rate
100 KB/tok
License
Apache 2.0
Release Date
2 Oct 2026
Knowledge Cutoff
-
API Pricing (per 1M)
Self-hosted only
Hardware Sizing
Precision
Context
Workload Memory: 155.09 GB
FP16 · 8K context
Base Weights: 151.81 GB
KV Cache: 0.78 GB
Runtime & Graphs: 2.50 GB
Minimum Required Hardware
8x NVIDIA H100 80GB
155.1 / 576.0 GB usable · TP 8
8x RTX 4090 24GB
155.1 / 172.8 GB usable · TP 8
Determine requirements for your specific workload:
Open in VRAM Calculator
Architecture Diagram
Evaluation Benchmarks
No evaluation benchmarks for Kolibri 1 available.
Rankings
Overall Rank
-
Coding Rank
-
About Kolibri 1
Kolibri 1 is an open foundation language model released by Aleph Alpha featuring native causal language modeling architectures. It is designed for European multilingual processing, enterprise compliance, and general reasoning tasks.
Technical Specifications
Attention
Attention Structure
Grouped-Query Attention
Attention Heads
48
Key-Value Heads
4
Attention Head Dimension
128
Position Embedding
ROPE
RoPE Theta
10,000
Sliding Window Attention
Yes
Sliding Window Size
513
Sliding Window Ratio
80.0%
Normalization
RMS Normalization
Activation Function
SwigLU
Dimensions
Hidden Dimension Size
2,560
Number of Layers
50
Tokenizer
Vocabulary Size
128,000
Mixture of Experts
Total Expert Parameters
3.5B
Number of Experts
384
Active Experts
6
Shared Experts
1
FFN Intermediate Size (per Expert)
512
Dense Layers Before MoE
0
Resources
About Kolibri
The Kolibri model family developed by Aleph Alpha.
Other Kolibri Models
- No related models available