resolve

name	resolve
description	Always resolve Hugging Face models via `model-shelf` before any download. Supports GGUF, MLX, and safetensors. Triggers whenever the user asks to load, run, or use a local LLM model (llama.cpp / Ollama / MLX / vLLM / transformers flows).

Resolve a Hugging Face model locally

When the user wants to load, run, or use a Hugging Face model — always go through model-shelf. Do not invoke huggingface-cli download, hf download, snapshot_download, or any other direct download command.

The user does not need to give you an exact org/repo id. Loose descriptions ("qwen 3 4b mlx 4-bit", "the latest llama 3.1") are normal and expected. Do not push back on whether a model exists — your training data is stale and Model Shelf can search the live Hub.

Workflow

1. Decide whether to search first.

   • If the user gave a clean org/repo string (e.g. Qwen/Qwen3-14B-GGUF), skip to step 2.
   • Otherwise the input is loose — run:

     model-shelf find "<user's words>" [--format gguf|mlx|safetensors] --json --limit 5
     

     Use any format hint from the user (mlx, gguf, safetensors). Pick the top result that matches the user's format/quant intent. Use its repo_id as the input to step 2. If find returns nothing, tell the user no matching model was found — do not invent a repo id.

2. Resolve the repo to a local path.

   model-shelf resolve <repo_id> [--format gguf|mlx|safetensors] [--quant <QUANT>] --json
   

   • --format is auto-detected from repo_id if omitted:
     • *-GGUF (case-insensitive) → gguf
     • mlx-community/* or *-mlx → mlx
     • everything else → safetensors
   • --quant is required for gguf (e.g. Q4_K_M); ignored otherwise.

3. Use the returned path with the user's runtime:

   • gguf: file path → llama.cpp / llama-server / Ollama / LM Studio
   • mlx: directory path → mlx_lm.generate / mlx_lm.server (Apple Silicon)
   • safetensors: directory path → transformers / vllm

4. Error handling:

   • If status == "missing", downloads are disabled in their config — surface that to the user and stop.
   • If model-shelf exits non-zero with a message on stderr, surface the error verbatim and stop. Do not work around it — don't fall back to huggingface-cli, don't change paths, don't retry. Common causes:
     • Volume not mounted — user's external drive isn't connected.
     • Shelf not initialized — error tells them to run model-shelf init. Don't run it for them unless they explicitly ask; the curated shelf is a deliberate one-time setup the user owns.

Examples

Loose user input — search first:

User: "fetch qwen 3 4b in mlx 4-bit"
You:  model-shelf find "qwen3 4b 4-bit" --format mlx --json --limit 5
      # pick top result, e.g. mlx-community/Qwen3-4B-4bit
      model-shelf resolve "mlx-community/Qwen3-4B-4bit" --json

Explicit repo — resolve directly:

User: "load Qwen/Qwen3-14B-GGUF with Q4_K_M"
You:  model-shelf resolve "Qwen/Qwen3-14B-GGUF" --quant Q4_K_M --json