XiaomiMiMo / text-generation updated 1 year ago

MiMo-7B-Base

Name: MiMo-7B-Base
Author: XiaomiMiMo

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Unlocking the Reasoning Potential of Language ModelFrom Pretraining to Posttraining ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Params

7.8 B

Context

32,768

Downloads 30d

299 K

Likes

137

Commercial use: allowed mit Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 10 days

299 K285 K

Jul 28Jul 31Aug 3Aug 6

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	15.7 GB	18.9 GB	✅ Runs comfortably
model.safetensors (bf16, full)	bf16 + 32K ctx	15.7 GB	22.4 GB	⚠️ Tight — reduce context

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/mimo-7b-base
{
  "hf_id": "XiaomiMiMo/MiMo-7B-Base",
  "params_b": 7.83,
  "context_length": 32768,
  "license": { "id": "mit", "commercial": "yes" },
  "downloads_30d": 298510,
  "vram_estimates": [
    { "quant": "bf16", "gb": 18.9 }
  ],
  "updated_at": "2026-07-28T18:06:42Z"
}

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

Specifications

Architecture: MiMoForCausalLM
Parameters: 7.8 B
Tensor type: BF16
Context length: 32,768
Vocabulary: 151,680
Layers / heads: 36 / 32
Licence: mit
First seen on the Hub: 2025-04-29
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Compare with

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Appears in

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