Search Hugging Face Hub for models matching a query, optionally filtered by task (pipeline_tag), sorted by popularity or recency.

Args: query: free-text search, e.g. "llama instruct" or "sentiment analysis" task: optional HF pipeline tag filter, e.g. "text-generation", "text-classification", "image-classification", "translation" limit: max number of results (1-50) sort_by: "downloads" (default), "likes", or "last_modified"

Get full details for a single Hugging Face model, including parameter count, license, tags, and pipeline task.

Args: model_id: the HF model repo id, e.g. "meta-llama/Llama-3.1-8B-Instruct"

Compare 2-4 Hugging Face models side by side: parameters, license, downloads, task, and last update.

Args: model_ids: list of 2-4 HF model repo ids to compare

Estimate whether a Hugging Face model will fit in a given amount of GPU VRAM, and at which precision. Uses the model's parameter count and standard bytes-per-parameter figures for each precision, plus a runtime overhead margin for activations and KV-cache. This is an estimate, not a guarantee — actual usage varies by framework, batch size, and context length.

Args: model_id: the HF model repo id, e.g. "mistralai/Mistral-7B-v0.1" available_vram_gb: available GPU VRAM in gigabytes, e.g. 24 precision: specific precision to check, or "auto" to find the lowest-precision option that fits

Find alternative models for the same task as the given model, filtered by relative size (lighter, heavier, or similar-sized alternatives).

Args: model_id: the HF model repo id to find alternatives for variant: "lighter" (fewer params), "heavier" (more params), or "same_size" (roughly comparable) limit: max number of alternatives to return (1-20)