Introduce a new model `e5-mistral-7b-it`, which can be used to produce embeddings. Job producing the model image: https://github.com/ubicloud/ai-images/actions/runs/11363010686 The image contains this model: https://huggingface.co/intfloat/e5-mistral-7b-instruct
5 lines
1.4 KiB
YAML
5 lines
1.4 KiB
YAML
- { id: 8b0b55b3-fb99-415f-8441-3abef2c2a200, model_name: test-model, enabled: true, locations: [hetzner-fsn1], vm_size: standard-gpu-6 , storage_volumes: [{encrypted: true, size_gib: 80}, {read_only: true, image: ai-model-test-model}], boot_image: ai-ubuntu-2404-nvidia, engine: vllm, engine_params: "" }
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- { id: 04ba0d97-859b-46ba-a90b-36a7c7900d4b, model_name: gemma-2-2b-it, enabled: true, locations: [hetzner-fsn1], vm_size: standard-gpu-6 , storage_volumes: [{encrypted: true, size_gib: 80}, {read_only: true, image: ai-model-gemma-2-2b-it}], boot_image: ai-ubuntu-2404-nvidia, engine: vllm, engine_params: "" }
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- { id: acc50340-c036-44ff-85a2-c5b7c8823e2a, model_name: llama-3-2-3b-it, enabled: true, locations: [hetzner-fsn1], vm_size: standard-gpu-6 , storage_volumes: [{encrypted: true, size_gib: 80}, {read_only: true, image: ai-model-llama-3-2-3b-it}], boot_image: ai-ubuntu-2404-nvidia, engine: vllm, engine_params: "--gpu-memory-utilization 0.95 --max-model-len 90000 --enable-auto-tool-choice --tool-call-parser llama3_json --chat-template resources/tool_chat_template_llama3.2_json.jinja" }
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- { id: 9f077493-dcd7-4067-8311-c98c4b48c4d4, model_name: e5-mistral-7b-it, enabled: true, locations: [hetzner-fsn1], vm_size: standard-gpu-6 , storage_volumes: [{encrypted: true, size_gib: 80}, {read_only: true, image: ai-model-e5-mistral-7b-it}], boot_image: ai-ubuntu-2404-nvidia, engine: vllm, engine_params: "--gpu-memory-utilization 0.95" }
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