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Open Source Model Profile · Hachipo

Qwen2.5-Coder-0.5B-Instruct_PIFT-enja_manywords_6000

Qwen2.5-Coder-0.5B-Instruct_PIFT-enja_manywords_6000 is a 0.49B-parameter Qwen2 text-generation model from Hachipo. The captured card adds no substantive detail beyond the auto-generated template.

Publisher
Hachipo
Task
text-generation
Model type
qwen2
License
Unknown
Library
transformers
Publication status
Accepted · not indexed

Model overview

Qwen2.5-Coder-0.5B-Instruct_PIFT-enja_manywords_6000 is published by Hachipo as a text-generation model. The captured configuration identifies Qwen2ForCausalLM, and Safetensors metadata reports about 0.49B parameters. The captured model card is auto-generated and adds no substantive training or evaluation detail.

Recorded capabilities

Qwen2 coding architecture

The captured configuration identifies Qwen2ForCausalLM with model type qwen2 and Transformers support.

Sub-billion size

The captured Safetensors metadata reports 494,032,768 parameters, or about 0.49B.

TRL and SFT tagging

Hub tags record trl, sft, conversational use, transformers, and endpoints compatibility.

Use cases in the source record

  • Small text-generation experiments consistent with the captured pipeline tag and conversational tagging.

Limitations and unknowns

  • No license value was extracted from this record.
  • No evaluation results were extracted from this record.
  • No context-window value was extracted from this record.
  • The model card contains only template headings, so training, dataset, and use detail are unavailable in this evidence.
  • Provider state is historical snapshot data and should be refreshed before being presented as current.

Source and provenance

Source: Hachipo/Qwen2.5-Coder-0.5B-Instruct_PIFT-enja_manywords_6000

Captured: Unknown. Processed: 2026-09-07T19:35:05.890033+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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