Kortix/FastApply-7B-v1.0

Hugging Face
TEXT GENERATIONConcurrent Unit Cost:1Model Size:7.6BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Oct 18, 2024License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Warm

Kortix/FastApply-7B-v1.0 is a 7 billion parameter model developed by Kortix, fine-tuned from unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit. It is specifically designed for instant code application and producing full file edits, achieving high throughput (approx. 150 tokens/second) and high edit accuracy. This model excels at integrating code modifications within AI-powered code editors and tools.

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Model Overview

FastApply-7B-v1.0, developed by Kortix, is a 7 billion parameter model fine-tuned from unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit. Its core purpose is to facilitate instant code application and generate comprehensive full file edits, powering applications like SoftGen AI. The model is optimized for high throughput, capable of processing approximately 150 tokens per second, while maintaining strong accuracy in code modifications.

Key Capabilities

  • Instant Code Application: Designed for rapid integration of code changes.
  • Full File Edits: Generates complete, updated code files based on provided snippets.
  • High Throughput: Achieves fast processing speeds, beneficial for real-time applications.
  • Integration with AI Code Editors: Well-suited for use with tools like Aider and PearAI.
  • Cost Reduction: Helps reduce the computational cost associated with using larger frontier models for code editing tasks.

Intended Use Cases

This model is particularly effective for scenarios requiring precise and fast code modifications. It is ideal for:

  • AI-powered code editors.
  • Automated code refactoring and merging tools.
  • Local development environments to optimize the use of larger language models for coding tasks.

For more technical details, including the data generation process and deployment instructions, refer to the Kortix/fast-apply GitHub repository.

Popular Sampler Settings

Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.

temperature
top_p
top_k
frequency_penalty
presence_penalty
repetition_penalty
min_p