inference-optimization/Kimi-K3-4.6B-A4.5B-small

feature-extraction model by inference-optimization

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This is a small version of moonshotai/Kimi-K3 created for testing and development. It preserves the full architecture characteristics of the base (hybrid KDA linear attention + MLA full attention, latent MoE with shared experts, attention-residual blocks, MoonViT3d vision tower, patchmergerv2 projector) with fewer layers and fewer experts. The following parameters were reduced from the original model (these are the ONLY changes — all other hyperparameters are identical to the base): Layer layout (minimal set covering every distinct attention and MLP type of the base, using combinations that occur in the base): numexpertspertoken (topk) = 16 is unchanged; 18 = topk + 2 so routing is still exercised. numnextnpredictlayers = 0 as in the base (backbone-only checkpoint, no MTP weights). Size note: 4.6B total is the forced minimum for this architecture under the keep-all-hyperparameters constraint: the untied embeddings alone are 2 × 163840 × 7168 ≈ 2.35B params, the single dense-MLP…

inference-optimization/Kimi-K3-4.6B-A4.5B-small on Hugging Face A short preview, not the full document.

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  1. Kimi-K3-4.6B-A4.5B-small
  2. Model Details
  3. Configuration Changes
  4. Checkpoint Structure
  5. Usage
  6. Creation Process
  7. Validation Output
  8. Notes

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Model overview

inference-optimization/Kimi-K3-4.6B-A4.5B-small is a feature-extraction model repository published by inference-optimization on Hugging Face. The source reports the transformers library.

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Model facts

Task
feature-extraction
Library
transformers
Recent downloads (30 days)
0
Cumulative likes
0
Hugging Face trending score
0
Reported safetensors parameters
4,609,999,602
Architecture
KimiK3ForConditionalGeneration
License
other
Access
Not gated by Hugging Face
Created
2026-10-20T06:41:10.000Z
Last modified
2026-10-20T06:41:47.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: moonshotai/Kimi-K3

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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Source: Hugging Face Hub. Metadata observed 2026-10-20T06:43:37.702Z. Daily imports are snapshots, not real-time monitoring.

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