65 lines
1.9 KiB
Markdown
65 lines
1.9 KiB
Markdown
---
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license: other
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license_name: qwen-license
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license_link: https://github.com/QwenLM/Qwen/blob/main/LICENSE
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base_model: Qwen/Qwen2.5-Coder-7B-Instruct
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model_creator: erikmiller
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model_name: Qwen2.5-Coder-7B-Swift-Lm
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tags:
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- swift
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- swift6
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- ios
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- macos
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- code
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- qwen-2.5
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- gguf
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- ollie
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- clawfi
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language:
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- en
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library_name: transformers
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pipeline_tag: text-generation
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---
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## Model Summary
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Qwen2.5-Coder-7B-Swift-Lm is a fine-tuned version of the Qwen2.5-Coder-7B-Instruct model, specifically optimized for high-performance Swift development.
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## Key Features
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Modern Swift Proficiency: Deeply familiar with Swift 6 Concurrency (Actors, Sendable) and the Observation framework (@Observable).
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Native SDK Knowledge: Fine-tuned to understand the nuances of SwiftUI, AppKit, and Combine.
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Local Performance: Optimized for GGUF format to ensure low-latency inference on Apple Silicon (Metal) via tools like LM Studio.
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## Training Details
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Dataset: 5,602 high-quality, curated Swift examples.
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Fine-tuning Method: QLoRA (Rank=16, Alpha=32).
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Target Modules: q_proj, v_proj.
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Objective: Improving code generation accuracy and reducing common pitfalls like forced-unwrapping.
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## Training Results
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Final Training Loss: 0.369
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Training Epochs: 1
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Loss Curve: The model showed a steady, controlled descent from an initial loss of 12.45 down to 0.36, indicating successful convergence on the Swift-specific dataset without aggressive overfitting.
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## Usage Instructions
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LM Studio / GGUF
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Download the .gguf file from the Files and versions tab.
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In LM Studio, load the model and enable GPU Offload to Max.
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Set your system prompt to: "You are a Senior iOS Architect specializing in clean, safe, and modern Swift code."
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Connecting to Cursor
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Start the Local Server in LM Studio (default: http://localhost:1234).
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In Cursor Settings, add a custom OpenAI API with the URL http://localhost:1234/v1.
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Select this model to get fine-tuned Swift suggestions directly in your project.
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