nkkbr/Mini-K3-1H-attn-4kda-v2
text-generation model by nkkbr
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Model card & documentation
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This repository contains a text-only Mini-K3-1H v2 pretraining checkpoint from a controlled 20-architecture comparison. The family retains Kimi-K3's KDA and Gated MLA operators, block Attention Residuals, Stable LatentMoE, SiTU activations, output gates, and Quantile Balancing at approximately one billion logical parameters. The exact architecture for this repository is listed below; some ablations deliberately replace the baseline KDA/MLA ratio, decay granularity, convolution length, or positional encoding. control state retained in FP32 where defined by the implementation Every numbered checkpoint is an immutable Git tag. main points to the most recent uploaded checkpoint. The final tag is exactly checkpoint-tokens-016000000000-final and is created only after exactly 16,000,000,000 valid loss targets have been processed. All 20 runs use canonical name-and-shape keyed initialization with base seed 20260914. Parameters shared by two architectures, with the same semantic name and shape, therefore begin byte-identically. Variant-only or shape-changing parameters receive their own deterministic streams. All runs consume the…
Read the full model card ↗ · Preview checked 2026-10-31T02:04:07.472Z
Inside the original model card — Document outline
- Mini-K3-1H-attn-4kda
- Architecture
- Checkpoint
- Initialization and comparability
- Training recipe
- Files and loading
- Evaluation
- Limitations
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Model overview
nkkbr/Mini-K3-1H-attn-4kda-v2 is a text-generation model repository published by nkkbr on Hugging Face. The source reports the pytorch 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
- pytorch
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 1,028,476,624
- Architecture
- Not reported
- License
- Not reported — check the model card
- Access
- Not gated by Hugging Face
- Created
- 2026-09-16T06:18:17.000Z
- Last modified
- 2026-09-16T06:18:23.000Z
Compatibility and lineage
Language coverage was not reported.
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.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-16T06:34:51.485Z. Daily imports are snapshots, not real-time monitoring.
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