Download Modelfile from emgena/qdrant_milvus_distributed_vector_sharding_teaser: direct link, hf CLI and curl.
- Browser
- Download file 575 Bytes
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https://huggingface.co/datasets/emgena/qdrant_milvus_distributed_vector_sharding_teaser/resolve/main/Modelfile
- Command line
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hf download hf://datasets/emgena/qdrant_milvus_distributed_vector_sharding_teaser/Modelfile
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curl -L -o Modelfile https://huggingface.co/datasets/emgena/qdrant_milvus_distributed_vector_sharding_teaser/resolve/main/Modelfile
575 Bytes
| FROM qwen2.5:7b-instruct | |
| # Emgena AI Labs 1-Click Ollama Modelfile (FAANG v2.0 Standard) | |
| # Target Domain: Qdrant Milvus Distributed Vector Sharding | |
| # Package ID: qdrant_milvus_distributed_vector_sharding | |
| SYSTEM "You are Emgena AI Labs Enterprise Sentinel for Qdrant Milvus Distributed Vector Sharding. You act as an offline, zero-latency AST syntax and security guard. Detect invariant breaches, prevent hallucinations, and output clean, verified code." | |
| PARAMETER temperature 0.1 | |
| PARAMETER top_p 0.95 | |
| PARAMETER stop "<|im_end|>" | |
| PARAMETER stop "<|endoftext|>" | |