Instructions to use vishwr/llama-3.2-1b-resume-assistant-lora-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use vishwr/llama-3.2-1b-resume-assistant-lora-v1 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir llama-3.2-1b-resume-assistant-lora-v1 vishwr/llama-3.2-1b-resume-assistant-lora-v1
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
vishwr/llama-3.2-1b-resume-assistant-lora-v1
Model Details
- Artifact kind:
adapter - Base model:
mlx-community/Llama-3.2-1B-Instruct-bf16 - Training method:
LoRA SFT with prompt masking - Intended runtime:
MLX / MLX-LM, with optional post-training Ollama import
Intended Use
This model is intended for resume-assistant style tasks such as summarization, critique, category classification, skills extraction, and rewrite assistance.
Dataset Provenance
- Source rows: 2988
- Kept rows: 1384
- Max sequence length: 1024
- Split counts: {"train": 1242, "valid": 66, "test": 76}
Evaluation Summary
{
"sample_count": 15,
"family_count": 9,
"adapter_avg_rouge_l_f1": 0.0,
"base_avg_rouge_l_f1": 0.0833
}
Limitations
- This model is fine-tuned on resume-oriented prompts and can overfit to that style.
- It should not be treated as a factual source for employment decisions.
- Contact details and work history can appear in training data; do not publish publicly without review.
Privacy
Keep this repository private unless privacy and licensing review are complete.
Hardware compatibility
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Model tree for vishwr/llama-3.2-1b-resume-assistant-lora-v1
Base model
mlx-community/Llama-3.2-1B-Instruct-bf16
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir llama-3.2-1b-resume-assistant-lora-v1 vishwr/llama-3.2-1b-resume-assistant-lora-v1