Download errors.json from dispatchAI/error-patterns: direct link, hf CLI and curl.
- Browser
- Download file 1.54 kB
-
https://huggingface.co/datasets/dispatchAI/error-patterns/resolve/main/errors.json
- Command line
-
hf download hf://datasets/dispatchAI/error-patterns/errors.json
-
curl -L -o errors.json https://huggingface.co/datasets/dispatchAI/error-patterns/resolve/main/errors.json
1.54 kB
| [ | |
| { | |
| "error": "Model produces gibberish", | |
| "cause": "Wrong chat_format", | |
| "fix": "Set chat_format parameter (llama-3 for SmolLM/Llama, chatml for Qwen, gemma for Gemma)" | |
| }, | |
| { | |
| "error": "Model repeats itself", | |
| "cause": "Small model limitation", | |
| "fix": "Use a larger model or lower temperature (0.3)" | |
| }, | |
| { | |
| "error": "Model ignores instructions", | |
| "cause": "Raw text completion instead of chat", | |
| "fix": "Use create_chat_completion() not __call__()" | |
| }, | |
| { | |
| "error": "Out of memory on phone", | |
| "cause": "Model too large for RAM", | |
| "fix": "Use Q4_K_M quant or smaller model (SmolLM2-135M = 101MB)" | |
| }, | |
| { | |
| "error": "Very slow inference", | |
| "cause": "Large model on weak hardware", | |
| "fix": "Use 135M or 500M model, or Q4 quantization" | |
| }, | |
| { | |
| "error": "Model loads but no output", | |
| "cause": "Interactive mode in llama-cli", | |
| "fix": "Add -st flag for single-turn mode" | |
| }, | |
| { | |
| "error": "ADB push fails on Windows", | |
| "cause": "MSYS path conversion", | |
| "fix": "Use MSYS_NO_PATHCONV=1 before adb command" | |
| }, | |
| { | |
| "error": "Arabic text garbled", | |
| "cause": "Tokenizer not supporting Arabic", | |
| "fix": "Use Gemma-2B-Arabic with gemma chat format" | |
| }, | |
| { | |
| "error": "Function calling fails", | |
| "cause": "Model not fine-tuned for FC", | |
| "fix": "Use strong system prompt with function definitions" | |
| }, | |
| { | |
| "error": "Model says 'I don't know'", | |
| "cause": "Small model knowledge limit", | |
| "fix": "Use larger model (1B+) for factual questions" | |
| } | |
| ] |