yujiepan / text-generation Open weights updated 1 year ago

kimi-linear-tiny-random

Name: kimi-linear-tiny-random
Author: yujiepan

This tiny model is intended for debugging. It is randomly initialized using the configuration adapted from moonshotai/Kimi-Linear-48B-A3B-Instruct.

Params

5.7 M

Context

—

Downloads 30d

150 K

Likes

Licence: unknown Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 50 days

▲ 73 K in the last 30 days (32.7%)

234 K150 K

Sep 22Oct 8Oct 25Nov 10

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	bf16	0.0 GB	0.5 GB	✅ Runs comfortably

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Run it

copy-paste, exact tags checked against the Hub

~ · curl · api/v1

$ curl -s https://aimodelscomparison.com/api/v1/models/kimi-linear-tiny-random
{
  "hf_id": "yujiepan/kimi-linear-tiny-random",
  "params_b": 0.01,
  "context_length": null,
  "license": { "id": "", "commercial": "unknown" },
  "downloads_30d": 149611,
  "vram_estimates": [
    { "quant": "bf16", "gb": 0.5 }
  ],
  "updated_at": "2026-09-22T01:00:22Z"
}

est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture: KimiLinearForCausalLM
Parameters: 5.7 M
Tensor type: BF16
Vocabulary: 163,840
Layers / heads: 5 / 8
First seen on the Hub: 2025-11-04
Base model: Kimi-Linear-48B-A3B-Instruct
Training datasets: undisclosed
Added to our catalog: 2026-09-22

Family

Base model and the most-downloaded derivatives in the catalog.

Base Kimi-Linear-48B-A3B-Instruct moonshotai 136 K

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