24 lines
634 B
Markdown
24 lines
634 B
Markdown
|
---
|
||
|
|
tags:
|
||
|
|
- text-generation
|
||
|
|
- transformers
|
||
|
|
- qwen2
|
||
|
|
pipeline_tag: text-generation
|
||
|
|
library_name: transformers
|
||
|
|
---
|
||
|
|
|
||
|
|
# Qwen2.5-3B Interview Kit Generation
|
||
|
|
|
||
|
|
Fine-tuned model for professional interview question generation.
|
||
|
|
|
||
|
|
## Model Info
|
||
|
|
- Base: Qwen/Qwen2.5-3B-Instruct
|
||
|
|
- Fine-tune: LoRA, merged
|
||
|
|
- Task: Interview question generation (JSON output)
|
||
|
|
- Max tokens recommended: 2200
|
||
|
|
|
||
|
|
## Usage
|
||
|
|
|
||
|
|
Load directly with `AutoModelForCausalLM.from_pretrained`.
|
||
|
|
|
||
|
|
The LoRA was trained for professional interviewer tone/style. RAG should still provide company/job grounding, and the app should enforce JSON with prompt constraints plus validation/repair.
|