TitanML / text-generation updated 2 years ago

tiny-mixtral

Name: tiny-mixtral
Author: TitanML

This is a tiny-random mixtral, useful for testing and CI/CD pipelines. It is not trained at all, and not suitable for inferencing in any application.

Params

250 M

Context

131,072

Downloads 30d

490 K

Likes

Licence: unknown Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 10 days

500 K470 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	f32	1.0 GB	1.6 GB	✅ Runs comfortably
model.safetensors (bf16, full)	bf16 + 128K ctx	1.0 GB	2.2 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/tiny-mixtral
{
  "hf_id": "TitanML/tiny-mixtral",
  "params_b": 0.25,
  "context_length": 131072,
  "license": { "id": "", "commercial": "unknown" },
  "downloads_30d": 489554,
  "vram_estimates": [
    { "quant": "f32", "gb": 1.6 }
  ],
  "updated_at": "2026-07-28T18:05:20Z"
}

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

Specifications

Architecture: MixtralForCausalLM
Parameters: 250 M
Tensor type: F32
Context length: 131,072
Vocabulary: 32,000
Layers / heads: 2 / 32
First seen on the Hub: 2024-04-24
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Compare with

Qwen3-0.6B 29.7 M gpt2 13.7 M Qwen2.5-0.5B-Instruct 6.6 M Qwen2.5-0.5B 2.6 M pythia-160m 2.5 M gemma-3-270m 2.1 M

Appears in

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