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docs: usar URL assinada do CDN para o modelo Llama 3.2 3B

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O link resolve do Hugging Face não baixa o GGUF. Os comandos wget
agora apontam para o CDN com -O e aspas, para o shell não quebrar nos &.
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lgcosta committed 2026-11-01 11:42:53 -03:00
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BUILD.md
+9 -8
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@@ -15,7 +15,7 @@ Before building, download the Llama 3.2 3B quantized model:
```bash
# Download model (approximately 2GB)
cd backend
wget https://huggingface.co/MaziyarPanahi/Llama-3.2-3B-Instruct-GGUF/resolve/main/llama-3.2-3b-instruct-q4_0.gguf
wget -O llama-3.2-3b-instruct-q4_0.gguf "https://us.aws.cdn.hf.co/xet-bridge-us/6718a700b21019fade8d68ac/b472da725da9aaf0e050c885680a67f61fceb097eb4277b0cc1e0b94e3559345?user_id=public&xip=4ii5zzvItH8&X-Xet-Cas-Uid=public&response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27llama-3.2-3b-instruct-q4_0.gguf%3B+filename%3D%22llama-3.2-3b-instruct-q4_0.gguf%22%3B&Expires=1793546619&Policy=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_&Signature=MEUCIBdL2cMsOqav%7EbG9Q2mearSLUBdBtfCA3sOBE5GdbXUnAiEA7xWOea%7ETy0Jf%7EPgRYyx1S9bxvnSFoTBI%7ERadl-Nmd8E_&Key-Pair-Id=01KXEF4KZ1B6FV465MAWR4M21F&Hash-Algorithm=SHA256"
# Place in models directory
mkdir -p models
@@ -79,7 +79,7 @@ cd backend
mkdir -p models
# Baixe o modelo Llama 3.2 3B quantizado (4-bit)
wget https://huggingface.co/MaziyarPanahi/Llama-3.2-3B-Instruct-GGUF/resolve/main/llama-3.2-3b-instruct-q4_0.gguf
wget -O llama-3.2-3b-instruct-q4_0.gguf "https://us.aws.cdn.hf.co/xet-bridge-us/6718a700b21019fade8d68ac/b472da725da9aaf0e050c885680a67f61fceb097eb4277b0cc1e0b94e3559345?user_id=public&xip=4ii5zzvItH8&X-Xet-Cas-Uid=public&response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27llama-3.2-3b-instruct-q4_0.gguf%3B+filename%3D%22llama-3.2-3b-instruct-q4_0.gguf%22%3B&Expires=1793546619&Policy=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_&Signature=MEUCIBdL2cMsOqav%7EbG9Q2mearSLUBdBtfCA3sOBE5GdbXUnAiEA7xWOea%7ETy0Jf%7EPgRYyx1S9bxvnSFoTBI%7ERadl-Nmd8E_&Key-Pair-Id=01KXEF4KZ1B6FV465MAWR4M21F&Hash-Algorithm=SHA256"
# Valide o tamanho (deve ser ~2GB)
ls -lh models/llama-3.2-3b-instruct-q4_0.gguf
@@ -97,7 +97,7 @@ cd backend
docker-compose run --rm web
# Na interface web, o GPT4All vai baixar o modelo automaticamente
# ou use: curl -O https://gpt4all.io/models/Llama-3-2-3B-Instruct-GGUF-Q4_0.gguf
# ou use a mesma URL assinada do CDN (Opção 1)
```
### Opção 3: Script Automático
@@ -109,7 +109,7 @@ docker-compose run --rm web
cd backend
mkdir -p models
MODEL_URL="https://huggingface.co/MaziyarPanahi/Llama-3.2-3B-Instruct-GGUF/resolve/main/llama-3.2-3b-instruct-q4_0.gguf"
MODEL_URL="https://us.aws.cdn.hf.co/xet-bridge-us/6718a700b21019fade8d68ac/b472da725da9aaf0e050c885680a67f61fceb097eb4277b0cc1e0b94e3559345?user_id=public&xip=4ii5zzvItH8&X-Xet-Cas-Uid=public&response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27llama-3.2-3b-instruct-q4_0.gguf%3B+filename%3D%22llama-3.2-3b-instruct-q4_0.gguf%22%3B&Expires=1793546619&Policy=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_&Signature=MEUCIBdL2cMsOqav%7EbG9Q2mearSLUBdBtfCA3sOBE5GdbXUnAiEA7xWOea%7ETy0Jf%7EPgRYyx1S9bxvnSFoTBI%7ERadl-Nmd8E_&Key-Pair-Id=01KXEF4KZ1B6FV465MAWR4M21F&Hash-Algorithm=SHA256"
if [ ! -f "models/llama-3.2-3b-instruct-q4_0.gguf" ]; then
echo "Baixando modelo Llama 3.2 3B..."
@@ -226,9 +226,10 @@ docker-compose logs -f celery-beat
If the model download fails:
```bash
# Download manually
cd backend/models
wget <model-url>
# Download manually (mesma URL assinada da seção Download do Modelo)
cd backend
mkdir -p models
wget -O models/llama-3.2-3b-instruct-q4_0.gguf "https://us.aws.cdn.hf.co/xet-bridge-us/6718a700b21019fade8d68ac/b472da725da9aaf0e050c885680a67f61fceb097eb4277b0cc1e0b94e3559345?user_id=public&xip=4ii5zzvItH8&X-Xet-Cas-Uid=public&response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27llama-3.2-3b-instruct-q4_0.gguf%3B+filename%3D%22llama-3.2-3b-instruct-q4_0.gguf%22%3B&Expires=1793546619&Policy=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_&Signature=MEUCIBdL2cMsOqav%7EbG9Q2mearSLUBdBtfCA3sOBE5GdbXUnAiEA7xWOea%7ETy0Jf%7EPgRYyx1S9bxvnSFoTBI%7ERadl-Nmd8E_&Key-Pair-Id=01KXEF4KZ1B6FV465MAWR4M21F&Hash-Algorithm=SHA256"
```
### Qdrant Not Starting
@@ -732,7 +733,7 @@ ls -lh backend/models/
# Baixar novamente
cd backend
wget https://huggingface.co/MaziyarPanahi/Llama-3.2-3B-Instruct-GGUF/resolve/main/llama-3.2-3b-instruct-q4_0.gguf
wget -O llama-3.2-3b-instruct-q4_0.gguf "https://us.aws.cdn.hf.co/xet-bridge-us/6718a700b21019fade8d68ac/b472da725da9aaf0e050c885680a67f61fceb097eb4277b0cc1e0b94e3559345?user_id=public&xip=4ii5zzvItH8&X-Xet-Cas-Uid=public&response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27llama-3.2-3b-instruct-q4_0.gguf%3B+filename%3D%22llama-3.2-3b-instruct-q4_0.gguf%22%3B&Expires=1793546619&Policy=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_&Signature=MEUCIBdL2cMsOqav%7EbG9Q2mearSLUBdBtfCA3sOBE5GdbXUnAiEA7xWOea%7ETy0Jf%7EPgRYyx1S9bxvnSFoTBI%7ERadl-Nmd8E_&Key-Pair-Id=01KXEF4KZ1B6FV465MAWR4M21F&Hash-Algorithm=SHA256"
# Reiniciar containers
docker-compose down
README.md
+1 -1
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@@ -134,7 +134,7 @@ cd backend
mkdir -p models
# Baixe o modelo Llama 3.2 3B quantizado
wget https://huggingface.co/MaziyarPanahi/Llama-3.2-3B-Instruct-GGUF/resolve/main/llama-3.2-3b-instruct-q4_0.gguf
wget -O llama-3.2-3b-instruct-q4_0.gguf "https://us.aws.cdn.hf.co/xet-bridge-us/6718a700b21019fade8d68ac/b472da725da9aaf0e050c885680a67f61fceb097eb4277b0cc1e0b94e3559345?user_id=public&xip=4ii5zzvItH8&X-Xet-Cas-Uid=public&response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27llama-3.2-3b-instruct-q4_0.gguf%3B+filename%3D%22llama-3.2-3b-instruct-q4_0.gguf%22%3B&Expires=1793546619&Policy=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_&Signature=MEUCIBdL2cMsOqav%7EbG9Q2mearSLUBdBtfCA3sOBE5GdbXUnAiEA7xWOea%7ETy0Jf%7EPgRYyx1S9bxvnSFoTBI%7ERadl-Nmd8E_&Key-Pair-Id=01KXEF4KZ1B6FV465MAWR4M21F&Hash-Algorithm=SHA256"
mv llama-3.2-3b-instruct-q4_0.gguf models/
# Ou use o GPT4All para baixar automaticamente