llama3_8b_sft_helpsteer

Model overview

llama3_8b_sft_helpsteer is published by Jennny as a Transformers text-generation fine-tune. The captured configuration identifies LlamaForCausalLM with model type llama and about 8.03B Safetensors parameters. According to the model card, it fine-tunes meta-llama/Llama-3.1-8B using TRL with an SFT training procedure.

Recorded capabilities

Use cases in the source record

• Conversational text-generation workflows using the documented Transformers pipeline example.
• SFT experiments building on the tagged helpsteer dataset and Llama-3.1-8B base.

Limitations and unknowns

• No evaluation results were extracted from this record.
• No license value was extracted for this record.
• No context-window value was extracted from this record.
• Training detail is limited to the publisher's fine-tune, SFT, and TRL notes; dataset content, steps, and compute were not extracted beyond the tagged dataset.
• Provider state is historical snapshot data, not independently refreshed current availability.

Source and provenance

Source: Jennny/llama3_8b_sft_helpsteer

Captured: Unknown. Processed: 2026-09-07T19:35:40.155823+00:00.

Model Card for meta-llama/Llama-3.1-8B This model is a fine-tuned version of meta-llama/Llama-3.1-8B on the ['Jennny/helpsteer_sft'] dataset. 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= "Jennny/llama3_8b_sft_helpsteer" , device= "cuda" ) output = generator([{ "role" : "user" , "content" : question}], max_new_tokens= 128 , return_full_text= False )[ 0 ] print (output[ "generated_text" ]) Training procedure This mode…