MinimaLabs/KLM-1.6

text-generation model by MinimaLabs

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KLM 1.6 is a 99M-parameter base language model that continues training from a checkpoint of our KLM 1.5 taken before its decay stage. KLM 1.6 decays its learning rate over 100B tokens instead of 20B. Aside from that not much has changed, since this is an incremental update over KLM 1.5. All scores are zero-shot with length-normalized accuracy. On that leaderboard, KLM 1.6's Intelligence Index is 33.95 which puts it first among models under 100M, under 150M and under 250M parameters, and only two models of any size score higher, both of them around 360M parameters. Each chart's axis starts at random-guess accuracy, which is 25% for most benchmarks and 50% for PIQA, so the height of a bar shows how far a model scores above chance. KLM 1.6 was trained on 2,048-token sequences in three stages, with 128 sequences per step in the first two and 192 in the…

MinimaLabs/KLM-1.6 on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-11-12T10:21:19.681Z

Inside the original model card — Document outline
  1. KLM 1.6
  2. What's new
  3. Benchmarks
  4. Training
  5. Architecture
  6. Intended use
  7. Usage
  8. Limitations
  9. License

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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

MinimaLabs/KLM-1.6 is a text-generation model repository published by MinimaLabs on Hugging Face. The source reports the transformers 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
transformers
Recent downloads (30 days)
1,095
Cumulative likes
73
Hugging Face trending score
73
Reported safetensors parameters
98,975,308
Architecture
KLMForCausalLM
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-11-09T10:00:48.000Z
Last modified
2026-11-09T10:21:02.000Z

Compatibility and lineage

Reported languages: en

Base-model lineage was not included.

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.

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Model card and usage instructions

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-11-14T06:56:53.534Z. Daily imports are snapshots, not real-time monitoring.

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