CodeText analysis

dale-0.8b

A tiny model that turns a request in plain words in Spanish or English into one Bash command for Linux and answers with a small JSON with a short explanation. It can refuse an unsuitable request and say that it is not sure. It underlies the offline tool dale, which runs it on a CPU through llama.cpp, asks for confirmation before running and marks dangerous operations. On the authors test of 471 tasks it scores 79.4% against 62.8% for Qwen3.5-9B and Gemma 4 E4B, the authors figures. Q4_K_M quantization, about 529 MB, median latency 1.72 seconds on a 2020 laptop. Larger dale-4b models for graphics cards exist too. Russian is not stated.

Developer
manuelgscom, not stated
First release
Oct 2026
Latest release
Oct 2026
Sizes
0.8B (GGUF about 529 MB)
License
Commercial use allowedApache 2.0 (a fine-tune of Qwen3.5-0.8B)
Russian
Not supported
Running
On your own serverAlso runs without a GPU
Industries
Software development, Customer support
Deploy on your server Hugging Face GitHub

What it does

  • Linux command hints in plain words without the internet
  • helping beginners in the terminal with confirmation before running
  • a built-in helper for administrators on weak machines

Where it is used

IT and administrationeducationembedded and offline tools

Hardware requirements

LaptopLaptop or regular PC, up to 8 GB of VRAM — smaller versions
fits
1 GPUOne GPU with 16–80 GB — mid-size versions
no versions
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. dale-0.8b (GGUF Q4_K_M)

How to run it

On your own serverWeights are downloaded from Hugging Face and served with vLLM (load and API) or llama.cpp (modest hardware). The model then runs in a closed network with no per-request fees.Hugging Face
How much hardware you needCalculate the VRAM for the model size, context length and number of concurrent requests.Open the hardware calculator

I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems.

Frequently asked questions

Can dale-0.8b be used in a commercial project?

Yes. License: Apache 2.0 (a fine-tune of Qwen3.5-0.8B). It allows commercial use, but it is still worth having a lawyer review the license before launch.

What hardware does dale-0.8b need?

At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Some versions also run on an ordinary CPU, without a GPU. You can calculate the exact VRAM for your model size and context in the hardware calculator.

Does dale-0.8b support Russian?

No. The developer documentation lists the supported languages and Russian is not among them.

Where can I download dale-0.8b and what does it cost?

The dale-0.8b weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.

How I deploy it for clients

  1. SelectionI pick the model size for your task and hardware and test it on your examples.
  2. DeploymentI deploy it on your server or in a closed network and provide an API.
  3. Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
  4. IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.

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Details

Source: huggingface.co/manuelgscom/dale-0.8b-GGUF. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.