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refactor: update docs LLM_NAME and MODEL_NAME to LLM_PROVIDER and LLM_NAME
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@@ -37,7 +37,7 @@ The fastest way to try out DocsGPT is by using the public API endpoint. This req
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Open the `.env` file and add the following lines:
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```
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LLM_NAME=docsgpt
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LLM_PROVIDER=docsgpt
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VITE_API_STREAMING=true
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```
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@@ -93,16 +93,16 @@ There are two Ollama optional files:
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3. **Pull the Ollama Model:**
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**Crucially, after launching with Ollama, you need to pull the desired model into the Ollama container.** Find the `MODEL_NAME` you configured in your `.env` file (e.g., `llama3.2:1b`). Then execute the following command to pull the model *inside* the running Ollama container:
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**Crucially, after launching with Ollama, you need to pull the desired model into the Ollama container.** Find the `LLM_NAME` you configured in your `.env` file (e.g., `llama3.2:1b`). Then execute the following command to pull the model *inside* the running Ollama container:
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```bash
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docker compose -f deployment/docker-compose.yaml -f deployment/optional/docker-compose.optional.ollama-cpu.yaml exec -it ollama ollama pull <MODEL_NAME>
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docker compose -f deployment/docker-compose.yaml -f deployment/optional/docker-compose.optional.ollama-cpu.yaml exec -it ollama ollama pull <LLM_NAME>
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```
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or (for GPU):
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```bash
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docker compose -f deployment/docker-compose.yaml -f deployment/optional/docker-compose.optional.ollama-gpu.yaml exec -it ollama ollama pull <MODEL_NAME>
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docker compose -f deployment/docker-compose.yaml -f deployment/optional/docker-compose.optional.ollama-gpu.yaml exec -it ollama ollama pull <LLM_NAME>
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```
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Replace `<MODEL_NAME>` with the actual model name from your `.env` file.
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Replace `<LLM_NAME>` with the actual model name from your `.env` file.
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4. **Access DocsGPT in your browser:**
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