import.md
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# Import a model
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This guide walks through creating an Ollama model from an existing model on HuggingFace from PyTorch, Safetensors or GGUF. It optionally covers pushing the model to [ollama.ai](https://ollama.ai/library).
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This guide walks through importing a PyTorch, Safetensors or GGUF model from a HuggingFace repo to Ollama.
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## Supported models
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@ -11,7 +11,7 @@ Ollama supports a set of model architectures, with support for more coming soon:
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- GPT-NeoX
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- BigCode
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To view a model's architecture, check its `config.json` file. You should see an entry under `architecture` (e.g. `LlamaForCausalLM`).
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To view a model's architecture, check the `config.json` file in its HuggingFace repo. You should see an entry under `architectures` (e.g. `LlamaForCausalLM`).
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## Importing
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@ -23,7 +23,7 @@ git clone https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1
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cd Mistral-7B-Instruct-v0.1
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```
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### Step 2: Convert and quantize
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### Step 2: Convert and quantize (PyTorch and Safetensors)
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A [Docker image](https://hub.docker.com/r/ollama/quantize) with the tooling required to convert and quantize models is available.
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TEMPLATE "[INST] {{ .Prompt }} [/INST]"
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```
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### Step 4: Create an Ollama model
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### Step 4: Create the Ollama model
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Finally, create a model from your `Modelfile`:
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ollama run example "What is your favourite condiment?"
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```
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### Step 5: Publish your model (optional - in alpha)
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### Step 5: Publish your model (optional – early alpha)
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Publishing models is in early alpha. If you'd like to publish your model to share with others, follow these steps:
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1. Create [an account](https://ollama.ai/signup)
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2. Ollama uses SSH keys similar to Git. Find your public key with `cat ~/.ollama/id_ed25519.pub` and copy it to your clipboard.
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2. Run `cat ~/.ollama/id_ed25519.pub` to view your Ollama public key. Copy this to the clipboard.
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3. Add your public key to your [Ollama account](https://ollama.ai/settings/keys)
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Next, copy your model to your username's namespace:
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ollama push <your username>/example
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```
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After publishing, your model will be available at `https://ollama.ai/<your username>/example`
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After publishing, your model will be available at `https://ollama.ai/<your username>/example`.
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## Quantization reference
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