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README.md
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---
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base_model: zed-industries/zeta
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pipeline_tag: text-generation
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inference: true
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language:
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- en
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license: apache-2.0
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model_creator: zed-industries
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model_name: zeta
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model_type: qwen2
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datasets:
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- zed-industries/zeta
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quantized_by: brittlewis12
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---
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# Zeta GGUF
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**Original model**: [Zeta](https://huggingface.co/zed-industries/zeta)
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**Model creator**: [Zed Industries](https://huggingface.co/zed-industries)
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> This is a fine-tuned version of Qwen2.5-Coder-7b for edit prediction support in Zed. Please, refer to the [zeta dataset](https://huggingface.co/datasets/zed-industries/zeta) to see how you can train this model yourself.
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This repo contains GGUF format model files for Zed Industries’ Zeta model, powering their [new "Edit Prediction" feature](https://zed.dev/blog/edit-prediction) in their open source text editor, [Zed](https://zed.dev).
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### What is GGUF?
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GGUF is a file format for representing AI models. It is the third version of the format,
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introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.
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Converted with llama.cpp build 4710 (revision [8a8c4ce](https://github.com/ggerganov/llama.cpp/commits/8a8c4ceb6050bd9392609114ca56ae6d26f5b8f5)),
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using [autogguf-rs](https://github.com/brittlewis12/autogguf-rs).
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### Prompt template: ChatML
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```
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<|im_start|>system
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{{system_message}}<|im_end|>
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<|im_start|>user
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{{prompt}}<|im_end|>
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<|im_start|>assistant
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```
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---
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## Download & run with [cnvrs](https://twitter.com/cnvrsai) on iPhone, iPad, and Mac!
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[cnvrs](https://testflight.apple.com/join/sFWReS7K) is the best app for private, local AI on your device:
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- create & save **Characters** with custom system prompts & temperature settings
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- download and experiment with any **GGUF model** you can [find on HuggingFace](https://huggingface.co/models?library=gguf)!
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* or, use an API key with the chat completions-compatible model provider of your choice -- ChatGPT, Claude, Gemini, DeepSeek, & more!
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- make it your own with custom **Theme colors**
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- powered by Metal ⚡️ & [Llama.cpp](https://github.com/ggerganov/llama.cpp), with **haptics** during response streaming!
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- **try it out** yourself today, on [Testflight](https://testflight.apple.com/join/sFWReS7K)!
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- follow [cnvrs on twitter](https://twitter.com/cnvrsai) to stay up to date
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