Instructions to use MainStack/marvy-1-14B-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MainStack/marvy-1-14B-lora with PEFT:
Task type is invalid.
- MLX
How to use MainStack/marvy-1-14B-lora with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("MainStack/marvy-1-14B-lora") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use MainStack/marvy-1-14B-lora with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "MainStack/marvy-1-14B-lora" --prompt "Once upon a time"
| cff-version: 1.2.0 | |
| message: "If you use marvy-1-14B as a baseline, fine-tune it, distill from it, or evaluate against it, please cite this work and credit MainStack." | |
| title: "marvy-1-14B: An open fine-tuned model for the full ServiceNow delivery lifecycle" | |
| abstract: "marvy-1-14B is an Apache-2.0 fine-tune of Qwen2.5-14B-Instruct specialized for the full ServiceNow delivery lifecycle: business analysis, requirements, stakeholder mapping, systems inventory, solution design documents, user stories, implementation planning, test cases, and validation." | |
| type: software | |
| authors: | |
| - name: "MainStack" | |
| website: "https://www.mainstack.co.uk/" | |
| url: "https://huggingface.co/MainStack/marvy-1-14B" | |
| repository-artifact: "https://huggingface.co/MainStack/marvy-1-14B" | |
| version: "1" | |
| date-released: "2026-06-01" | |
| license: Apache-2.0 | |
| keywords: | |
| - ServiceNow | |
| - ITSM | |
| - CSDM | |
| - solution-design | |
| - delivery | |
| - qwen2.5 | |
| - lora | |
| references: | |
| - type: software | |
| title: "Qwen2.5-14B-Instruct" | |
| authors: | |
| - name: "Qwen Team, Alibaba Cloud" | |
| url: "https://huggingface.co/Qwen/Qwen2.5-14B-Instruct" | |
| license: Apache-2.0 | |