Qwen2.5-0.5B-Instruct-Gensyn-Swarm-prickly_running_toad

Model overview

Qwen2.5-0.5B-Instruct-Gensyn-Swarm-prickly_running_toad is published by Sameer5500 as a text-generation model. The captured configuration identifies Qwen2ForCausalLM with model type qwen2, and Safetensors metadata reports 494,032,768 parameters. According to the model card, it fine-tunes Gensyn/Qwen2.5-0.5B-Instruct, and hub tags record rl-swarm, grpo, and gensyn markers.

Recorded capabilities

Use cases in the source record

• Conversational text-generation experiments on the small Qwen2.5-0.5B base, matching the record's conversational markers.
• Transformers pipeline experiments following the model card's text-generation quick-start example.

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.
• Provider state is historical snapshot data and should be refreshed before being presented as current.

Source and provenance

Source: Sameer5500/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-prickly_running_toad

Captured: Unknown. Processed: 2026-09-07T19:35:15.564017+00:00.

Model Card for Qwen2.5-0.5B-Instruct-Gensyn-Swarm-prickly_running_toad This model is a fine-tuned version of Gensyn/Qwen2.5-0.5B-Instruct . It has been trained using TRL . Quick start from transformers import pipeline question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?" generator = pipeline( "text-generation" , model= "Sameer5500/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-prickly_running_toad" , device= "cuda" ) output = generator([{ "role" : "user" , "content" : question}], max_new_tokens= 128 , return_full_text= False )[ 0 ] print (output[ "generated_tex…