manuelgscom/dale-0.8b-GGUF

text-generation model by manuelgscom

Open original source ↗

From the publisher

Model card & documentation

Source preview

Read the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.

[](https://huggingface.co/datasets/manuelgscom/dale-bash-test-v2) [](https://huggingface.co/manuelgscom/dale-0.8b-GGUF/resolve/main/dale-0.8b-1.0.0-Q4KM.gguf?download=true) [](https://huggingface.co/manuelgscom/dale-0.8b-GGUF/blob/main/LICENSE) -8250df) [](https://huggingface.co/collections/manuelgscom/dale-6addf69f0c5ce62251553885) A full fine-tune of Qwen/Qwen3.5-0.8B that turns a natural-language request, in Spanish or English, into one bash command for Linux, answered as a small JSON object. It is the model behind dale, an offline command-line tool that runs it on CPU through llama.cpp, bundled in a single native binary. Since dale 1.1.0, machines with a suitable GPU can use its larger siblings dale-4b and dale-9b instead; dale-0.8b stays the CPU model and the fallback (family). dale live: ask in plain English; it proposes the command, explains it, rates the risk and only runs it once you confirm. Real, unedited recording on a desktop CPU (about 1 s per request; 1.7 s on the laptop above). dale-0.8b es un ajuste completo de Qwen3.5-0.8B que convierte una petición en castellano o en inglés en un único comando bash para Linux, con una explicación breve. Es el modelo…

manuelgscom/dale-0.8b-GGUF on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-11-15T06:58:16.716Z

Inside the original model card — Document outline
  1. dale-0.8b (GGUF)
  2. Resumen en español
  3. The dale family
  4. What it is and intended use
  5. Files
  6. Using it directly with llama.cpp
  7. Prompt
  8. Answer
  9. Example
  10. Evaluation
  11. Where the errors are
  12. Methodology

Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.

Links from the model card

References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.

Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

manuelgscom/dale-0.8b-GGUF is a text-generation model repository published by manuelgscom on Hugging Face. A library was not reported.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
text-generation
Library
Not reported
Recent downloads (30 days)
3,358
Cumulative likes
48
Hugging Face trending score
45
Reported safetensors parameters
Not reported
Architecture
Not reported
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-10-23T13:02:12.000Z
Last modified
2026-11-08T18:05:56.000Z

Compatibility and lineage

Reported languages: es, en

Reported base models: manuelgscom/dale-0.8b

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.

Use and evaluate

Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.

No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.

Model card and usage instructions

Model files and configuration

Community discussion

Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-11-15T06:57:13.838Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

Open original source

Related models

openai-community/gpt2

Qwen/Qwen3-0.6B

Qwen/Qwen3-14B

deepseek-ai/DeepSeek-V3.2

Qwen/Qwen2.5-7B-Instruct

Qwen/Qwen3-8B