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Open Source Model Profile · Hachipo

Qwen2.5-Coder-0.5B-Instruct_BIFT_manywords_4000

Qwen2.5-Coder-0.5B-Instruct_BIFT_manywords_4000 is a 0.49B-parameter Qwen2 text-generation model from Hachipo. Only core architecture and size facts were extracted.

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_BIFT_manywords_4000 is published by Hachipo as a text-generation model. The captured configuration identifies Qwen2ForCausalLM with model type qwen2, and Safetensors metadata reports 494,032,768 parameters. Hub tags mark conversational use with trl and sft markers.

Recorded capabilities

0.49B Qwen2 record

Captured Safetensors metadata reports 494,032,768 parameters for a Qwen2ForCausalLM record with model type qwen2.

TRL and SFT markers

Hub tags record trl and sft alongside transformers, safetensors, conversational, and text-generation-inference markers.

Use cases in the source record

  • Small-scale conversational text-generation experiments matching the record's conversational and TRL/SFT markers.

Limitations and unknowns

  • No evaluation results were extracted from this record.
  • No license value was extracted from this record.
  • No context-window value was extracted from this record.
  • No training, base-lineage, or BIFT details were extracted; the captured model card is an automatically generated template.
  • 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_BIFT_manywords_4000

Captured: Unknown. Processed: 2026-09-07T19:35:06.015247+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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