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The system handles asynchronous job submission, progress tracking, and error handling across the conversion lifecycle. It abstracts away subprocess management, temporary file handling, and cleanup operations.","intents":["Convert a model without writing code or using command-line tools","Monitor conversion progress and receive clear error messages if validation fails","Download the quantized model artifact directly from the browser","Repeat conversions with different quantization levels without re-uploading the model"],"best_for":["Non-technical users and researchers unfamiliar with CLI tools","Teams prototyping model deployment strategies without local infrastructure","Educators demonstrating model quantization concepts in workshops"],"limitations":["No persistent job history or result caching; conversions cannot be resumed if interrupted","Gradio interface has no native support for real-time progress streaming; updates are polled","Browser session timeout may disconnect long-running conversions (>1 hour)","No API endpoint for programmatic access; automation requires web scraping or Gradio client library","Single concurrent user per Space instance (unless scaled); queuing not implemented"],"requires":["Modern web browser with JavaScript enabled","HuggingFace account (free) to access Spaces","Stable internet connection for entire conversion duration"],"input_types":["text (model identifier via text input)","text (quantization level via dropdown selection)","optional: text (HuggingFace token via password input)"],"output_types":["binary (downloadable GGUF file)","text (conversion status messages and error logs)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hf-space-ggml-org--gguf-my-repo__cap_3","uri":"capability://planning.reasoning.quantization.parameter.selection.and.recommendation","name":"quantization parameter selection and recommendation","description":"Provides a curated set of quantization strategies (Q4_0, Q4_1, Q5_0, Q5_1, Q8_0) with automatic recommendations based on model size and use case. The system maps model parameter counts to optimal quantization levels, balancing inference speed, memory footprint, and quality loss. 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The system writes converted models to a temporary directory, serves them via HTTP for browser download, and implements garbage collection to prevent disk exhaustion. It handles large file downloads (2-50GB) through streaming and resumable transfer protocols.","intents":["Download a converted GGUF model directly to local storage after conversion completes","Resume interrupted downloads without re-running the conversion","Ensure temporary files are cleaned up to prevent Spaces storage quota exhaustion","Share download links with team members or external collaborators"],"best_for":["Individual developers downloading single model artifacts","Teams with limited storage who need to download and immediately deploy models"],"limitations":["No persistent artifact storage; models are deleted after ~24 hours or Space restart","No versioning or model registry; previous conversions cannot be retrieved","Download links are not shareable across Space instances or after restart","Large models (>50GB) may exceed Spaces disk quota, causing conversion failure","No bandwidth throttling; large downloads may impact other Space users"],"requires":["Sufficient Spaces disk quota (typically 50GB for free tier)","Browser support for large file downloads (HTTP Range requests)","Stable internet connection for entire download duration"],"input_types":[],"output_types":["binary (GGUF model file via HTTP download)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hf-space-ggml-org--gguf-my-repo__cap_5","uri":"capability://safety.moderation.error.handling.and.conversion.failure.diagnostics","name":"error handling and conversion failure diagnostics","description":"Captures and reports errors from the llama.cpp conversion pipeline, including validation failures (unsupported architectures), runtime errors (OOM, timeout), and API failures (HuggingFace Hub unavailable). 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It implements retry logic for transient failures (network timeouts) and graceful degradation for unsupported models.","intents":["Understand why a model conversion failed and what to do next","Identify if a failure is due to model incompatibility vs infrastructure limitations","Retry failed conversions automatically without manual intervention","Report conversion errors to developers for debugging and improvement"],"best_for":["Users debugging conversion failures without technical expertise","Teams monitoring conversion reliability and identifying problematic models","Developers improving the tool based on failure patterns"],"limitations":["Error messages are generic; specific failure root causes may not be obvious","No structured error logging; diagnostic information is not persisted for analysis","Retry logic is simple (fixed backoff); no exponential backoff or circuit breaker pattern","Timeout errors do not distinguish between slow conversion vs infrastructure overload","No integration with error tracking services (Sentry, DataDog) for alerting"],"requires":["Conversion attempt that encounters an error condition"],"input_types":[],"output_types":["text (user-friendly error message)","text (diagnostic information: error code, stack trace, suggested actions)"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":23,"verified":false,"data_access_risk":"high","permissions":["HuggingFace model repository with compatible architecture (LLaMA, Mistral, Phi, etc.)","HuggingFace API token for private model access (optional for public models)","Sufficient Spaces compute quota (CPU-based, limited by HF tier)","Model must be in transformers-compatible format with safetensors or PyTorch weights","Valid HuggingFace model identifier (org/model-name format)","Network connectivity to HuggingFace Hub API endpoints","Modern web browser with JavaScript enabled","HuggingFace account (free) to access Spaces","Stable internet connection for entire conversion duration","Model parameter count (extracted from HuggingFace metadata)"],"failure_modes":["Conversion time scales with model size; 70B+ parameter models may timeout on free Spaces tier","No streaming output of conversion progress — users wait for full completion","Limited control over quantization hyperparameters; preset strategies only","Output artifacts stored temporarily; no persistent model registry or versioning","Single-model-at-a-time processing; no batch job queuing or parallel conversion","Metadata extraction depends on model card completeness; some community models lack detailed configs","No support for non-HuggingFace model sources (Ollama, ModelScope, local paths)","Architecture detection is rule-based; edge-case architectures may be misclassified","API rate limiting on HuggingFace Hub may delay metadata fetching for popular models","No persistent job history or result caching; conversions cannot be resumed if interrupted","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.22,"ecosystem":0.36,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:22.766Z","last_scraped_at":"2026-05-03T14:22:48.012Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=ggml-org--gguf-my-repo","compare_url":"https://unfragile.ai/compare?artifact=ggml-org--gguf-my-repo"}},"signature":"h4KN0pGHWv1dQBUxm8wCWBJNMlSTMIulo4OCEHUoli7dwdL6InKXvjcLcR4tliJsdcD/A2WYp4gf3StZXDIyCg==","signedAt":"2026-06-21T03:49:51.681Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/ggml-org--gguf-my-repo","artifact":"https://unfragile.ai/ggml-org--gguf-my-repo","verify":"https://unfragile.ai/api/v1/verify?slug=ggml-org--gguf-my-repo","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}