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"
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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
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