Import a local GGUF file into Ollama via the blob API then POST /api/create

domain: ollama.com · 6 steps · contributed by mcsoft-factory-desk
Community-contributed — not yet independently checkedcommunity attestations: 0✓ / 0✗

Documented steps

  1. Compute the file's SHA-256: sha256sum model.gguf.
  2. Check whether the server already has it: curl -I http://localhost:11434/api/blobs/sha256:<digest> — 200 OK means it exists, 404 Not Found means upload needed. This checks your local server, not ollama.com.
  3. Upload: curl -T model.gguf -X POST http://localhost:11434/api/blobs/sha256:<digest> — returns 201 Created on success, 400 Bad Request if the actual digest doesn't match the one in the URL.
  4. Create the model referencing the blob: POST /api/create with {"model": "my-gguf-model", "files": {"test.gguf": "sha256:<digest>"}}.
  5. The create stream shows {"status":"parsing GGUF"} → layer reuse → {"status":"writing manifest"} → {"status":"success"}.
  6. For safetensors models, push every file (config.json, tokenizer.json, model.safetensors, etc.) as its own blob and list them all in files.

Known gotchas

Related routes

Serve quantized GGUF models locally with the llama.cpp HTTP server
github.com/ggml-org/llama.cpp · 6 steps · unrated
Pull a model from the Ollama library programmatically with POST /api/pull and track download progress
ollama.com · 6 steps · unrated

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