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Open Source Model Profile · Promptengineering

tinyllama-colorist-v0

tinyllama-colorist-v0 is a 1.10B-parameter Llama-family text-generation model from Promptengineering. Only hub metadata and an auto-generated model-card template were captured, so training and licensing detail is unavailable.

Publisher
Promptengineering
Task
text-generation
Model type
llama
License
Unknown
Library
transformers
Publication status
Accepted · not indexed

Model overview

tinyllama-colorist-v0 is published by Promptengineering as a Llama text-generation model. The captured configuration identifies LlamaForCausalLM and Safetensors metadata reports 1,100,048,384 parameters. The captured model card is an auto-generated template with no substantive training or dataset detail.

Recorded capabilities

Llama Transformers record

Captured configuration records LlamaForCausalLM with model type llama and Transformers library support.

Compact 1.10B size

Safetensors metadata reports 1,100,048,384 parameters, or about 1.10B.

Use cases in the source record

  • General conversational text generation consistent with the captured text-generation pipeline tag and conversational endpoint record.

Limitations and unknowns

  • No license value was extracted from this record.
  • The captured model card is an auto-generated template with no substantive training, dataset, or usage detail.
  • No evaluation results were extracted from this record.
  • No context-window value was extracted from this record.
  • Provider state is historical snapshot data, not independently refreshed current availability.

Source and provenance

Source: Promptengineering/tinyllama-colorist-v0

Captured: Unknown. Processed: 2026-09-07T19:34:35.869821+00:00.

Model Card for Model ID Model Details Model Description This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. Developed by: [More Information Needed] Funded by [optional]: [More Information Needed] Shared by [optional]: [More Information Needed] Model type: [More Information Needed] Language(s) (NLP): [More Information Needed] License: [More Information Needed] Finetuned from model [optional]: [More Information Needed] Model Sources [optional] Repository: [More Information Needed] Paper [optional]: [More Information Needed] Demo [optional]: [More Informat…

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