Aleph-Alpha/Kolibri-1
text-generation model by Aleph-Alpha
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Model card & documentation
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Tech report | Tech blog Kolibri is Aleph Alpha's mixture-of-experts (MoE) reasoning model, with a focus on German and English. The model supports an explicit reasoning mode and tool calling. It is optimized for long-context and inference efficiency. Kolibri is intended to process text input and output in German and English and to perform a wide range of tasks beyond natural-language generation, for example multi-step reasoning, coding, structured extraction, retrieval-augmented generation, long-document processing and agentic tool calling. Kolibri was pre-trained on sequences of 16,384 tokens, mid-trained on 65,536 and trained on 262,144 tokens in a final long-context phase, which is its native context length. Because positional encoding is applied only in the sliding-window layers, the context can be extended beyond that length without any position scaling, in principle to arbitrary lengths. We have validated quality and serving efficiency up to 1,048,576 tokens. For latency- or throughput-sensitive deployments and for complex…
Read the full model card ↗ · Preview checked 2026-10-04T06:39:44.017Z
Inside the original model card — Document outline
- Kolibri
- Model overview
- Intended use
- Design goals
- AI system types
- Sustainability
- Energy consumption
- Energy measurement
- Getting started
- Querying the server (OpenAI-compatible API)
- Reasoning mode
- Tool calling
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
Aleph-Alpha/Kolibri-1 is a text-generation model repository published by Aleph-Alpha on Hugging Face. The source reports the vllm library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- vllm
- Recent downloads (30 days)
- 0
- Cumulative likes
- 275
- Hugging Face trending score
- 270
- Reported safetensors parameters
- 78,103,074,560
- Architecture
- Kolibri1ForCausalLM
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-02T05:54:02.000Z
- Last modified
- 2026-10-03T08:43:53.000Z
Compatibility and lineage
Reported languages: de, en
Reported base models: Aleph-Alpha/Kolibri-1-BF16
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-04T06:38:41.811Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.