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| #!/usr/bin/env python3 | |
| import unittest | |
| from pathlib import Path | |
| import os | |
| import sys | |
| # Necessary to load the local gguf package | |
| if "NO_LOCAL_GGUF" not in os.environ and (Path(__file__).parent.parent.parent / 'gguf-py').exists(): | |
| sys.path.insert(0, str(Path(__file__).parent.parent)) | |
| import gguf | |
| class TestMetadataMethod(unittest.TestCase): | |
| def test_id_to_title(self): | |
| self.assertEqual(gguf.Metadata.id_to_title("Mixtral-8x7B-Instruct-v0.1"), "Mixtral 8x7B Instruct v0.1") | |
| self.assertEqual(gguf.Metadata.id_to_title("Meta-Llama-3-8B"), "Meta Llama 3 8B") | |
| self.assertEqual(gguf.Metadata.id_to_title("hermes-2-pro-llama-3-8b-DPO"), "Hermes 2 Pro Llama 3 8b DPO") | |
| def test_get_model_id_components(self): | |
| # This is the basic standard form with organization marker | |
| self.assertEqual(gguf.Metadata.get_model_id_components("Mistral/Mixtral-8x7B-Instruct-v0.1"), | |
| ('Mixtral-8x7B-Instruct-v0.1', "Mistral", 'Mixtral', 'Instruct', 'v0.1', '8x7B')) | |
| # Similar to basic standard form but without organization marker | |
| self.assertEqual(gguf.Metadata.get_model_id_components("Mixtral-8x7B-Instruct-v0.1"), | |
| ('Mixtral-8x7B-Instruct-v0.1', None, 'Mixtral', 'Instruct', 'v0.1', '8x7B')) | |
| # Missing version | |
| self.assertEqual(gguf.Metadata.get_model_id_components("Mixtral-8x7B-Instruct"), | |
| ('Mixtral-8x7B-Instruct', None, 'Mixtral', 'Instruct', None, '8x7B')) | |
| # Missing finetune | |
| self.assertEqual(gguf.Metadata.get_model_id_components("Mixtral-8x7B-v0.1"), | |
| ('Mixtral-8x7B-v0.1', None, 'Mixtral', None, 'v0.1', '8x7B')) | |
| # Base name and size label only | |
| self.assertEqual(gguf.Metadata.get_model_id_components("Mixtral-8x7B"), | |
| ('Mixtral-8x7B', None, 'Mixtral', None, None, '8x7B')) | |
| # Base name and version only | |
| self.assertEqual(gguf.Metadata.get_model_id_components("Mixtral-v0.1"), | |
| ('Mixtral-v0.1', None, 'Mixtral', None, 'v0.1', None)) | |
| ## Edge Cases ## | |
| # This is too ambiguous... best to err on caution and output nothing | |
| self.assertEqual(gguf.Metadata.get_model_id_components("Mixtral"), | |
| ('Mixtral', None, None, None, None, None)) | |
| # Basename has numbers mixed in and also size label provided. Must avoid capturing number in basename | |
| self.assertEqual(gguf.Metadata.get_model_id_components("NousResearch/Meta-Llama-3-8B"), | |
| ('Meta-Llama-3-8B', "NousResearch", 'Meta-Llama-3', None, None, '8B')) | |
| # Non standard naming | |
| self.assertEqual(gguf.Metadata.get_model_id_components("Qwen1.5-MoE-A2.7B-Chat"), | |
| ('Qwen1.5-MoE-A2.7B-Chat', None, 'Qwen1.5-MoE', 'Chat', None, 'A2.7B')) | |
| # Capture 'sub size labels' e.g. A14B in '57B-A14B' usually refers to activated params/weight count | |
| self.assertEqual(gguf.Metadata.get_model_id_components("Qwen2-57B-A14B-Instruct"), | |
| ('Qwen2-57B-A14B-Instruct', None, 'Qwen2', 'Instruct', None, '57B-A14B')) | |
| # Check that it can handle a real model id with no version code | |
| # Note that 4k in this string is non standard and microsoft were referring to context length rather than weight count | |
| self.assertEqual(gguf.Metadata.get_model_id_components("microsoft/Phi-3-mini-4k-instruct", 4 * 10**9), | |
| ('Phi-3-mini-4k-instruct', 'microsoft', 'Phi-3', '4k-instruct', None, 'mini')) | |
| # There is some legitimate models with only thousands of parameters | |
| self.assertEqual(gguf.Metadata.get_model_id_components("delphi-suite/stories-llama2-50k", 50 * 10**3), | |
| ('stories-llama2-50k', 'delphi-suite', 'stories-llama2', None, None, '50K')) | |
| # Non standard and not easy to disambiguate | |
| self.assertEqual(gguf.Metadata.get_model_id_components("DeepSeek-Coder-V2-Lite-Instruct"), | |
| ('DeepSeek-Coder-V2-Lite-Instruct', None, 'DeepSeek-Coder-V2-Lite', 'Instruct', None, None)) | |
| # This is a real model_id where they append 2DPO to refer to Direct Preference Optimization | |
| self.assertEqual(gguf.Metadata.get_model_id_components("crestf411/daybreak-kunoichi-2dpo-7b"), | |
| ('daybreak-kunoichi-2dpo-7b', 'crestf411', 'daybreak-kunoichi', '2dpo', None, '7B')) | |
| # This is a real model id where the weight size has a decimal point | |
| self.assertEqual(gguf.Metadata.get_model_id_components("Qwen2-0.5B-Instruct"), | |
| ('Qwen2-0.5B-Instruct', None, 'Qwen2', 'Instruct', None, '0.5B')) | |
| # Uses an underscore in the size label | |
| self.assertEqual(gguf.Metadata.get_model_id_components("smallcloudai/Refact-1_6B-fim"), | |
| ('Refact-1_6B-fim', 'smallcloudai', 'Refact', 'fim', None, '1.6B')) | |
| # Uses Iter3 for the version | |
| self.assertEqual(gguf.Metadata.get_model_id_components("UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3"), | |
| ('Gemma-2-9B-It-SPPO-Iter3', 'UCLA-AGI', 'Gemma-2', 'It-SPPO', 'Iter3', '9B')) | |
| # Has two potential versions in the basename | |
| self.assertEqual(gguf.Metadata.get_model_id_components("NousResearch/Hermes-2-Theta-Llama-3-8B"), | |
| ('Hermes-2-Theta-Llama-3-8B', 'NousResearch', 'Hermes-2-Theta-Llama-3', None, None, '8B')) | |
| # Potential version in the basename | |
| self.assertEqual(gguf.Metadata.get_model_id_components("SeaLLMs/SeaLLMs-v3-7B-Chat"), | |
| ('SeaLLMs-v3-7B-Chat', 'SeaLLMs', 'SeaLLMs-v3', 'Chat', None, '7B')) | |
| # Underscore in the basename, and 1m for the context size | |
| self.assertEqual(gguf.Metadata.get_model_id_components("internlm/internlm2_5-7b-chat-1m", 7 * 10**9), | |
| ('internlm2_5-7b-chat-1m', 'internlm', 'internlm2_5', 'chat-1m', None, '7B')) | |
| # Version before the finetune name | |
| self.assertEqual(gguf.Metadata.get_model_id_components("pszemraj/jamba-900M-v0.13-KIx2"), | |
| ('jamba-900M-v0.13-KIx2', 'pszemraj', 'jamba', 'KIx2', 'v0.13', '900M')) | |
| # TODO: hf suffix which could be ignored but isn't | |
| self.assertEqual(gguf.Metadata.get_model_id_components("state-spaces/mamba-2.8b-hf"), | |
| ('mamba-2.8b-hf', 'state-spaces', 'mamba', 'hf', None, '2.8B')) | |
| # Two sizes, don't merge them, the other is the number of tokens on which it was trained | |
| self.assertEqual(gguf.Metadata.get_model_id_components("abacaj/llama-161M-100B", 161 * 10**6), | |
| ('llama-161M-100B', 'abacaj', 'llama', '100b', None, '161M')) | |
| # It's a trap, there is no size label | |
| self.assertEqual(gguf.Metadata.get_model_id_components("SparseLLM/relu-100B", 1340 * 10**6), | |
| ('relu-100B', 'SparseLLM', 'relu', '100b', None, None)) | |
| # Weird size notation | |
| self.assertEqual(gguf.Metadata.get_model_id_components("bigscience/bloom-7b1-petals"), | |
| ('bloom-7b1-petals', 'bigscience', 'bloom', 'petals', None, '7.1B')) | |
| # Ignore full-text size labels when there are number-based ones, and deduplicate size labels | |
| self.assertEqual(gguf.Metadata.get_model_id_components("MaziyarPanahi/GreenNode-mini-7B-multilingual-v1olet-Mistral-7B-Instruct-v0.1"), | |
| ('GreenNode-mini-7B-multilingual-v1olet-Mistral-7B-Instruct-v0.1', 'MaziyarPanahi', 'GreenNode-mini', 'multilingual-v1olet-Mistral-Instruct', 'v0.1', '7B')) | |
| # Instruct in a name without a size label | |
| self.assertEqual(gguf.Metadata.get_model_id_components("mistralai/Mistral-Nemo-Instruct-2407"), | |
| ('Mistral-Nemo-Instruct-2407', 'mistralai', 'Mistral-Nemo', 'Instruct', '2407', None)) | |
| # Non-obvious splitting relying on 'chat' keyword | |
| self.assertEqual(gguf.Metadata.get_model_id_components("deepseek-ai/DeepSeek-V2-Chat-0628"), | |
| ('DeepSeek-V2-Chat-0628', 'deepseek-ai', 'DeepSeek-V2', 'Chat', '0628', None)) | |
| # Multiple versions | |
| self.assertEqual(gguf.Metadata.get_model_id_components("OpenGVLab/Mini-InternVL-Chat-2B-V1-5"), | |
| ('Mini-InternVL-Chat-2B-V1-5', 'OpenGVLab', 'Mini-InternVL', 'Chat', 'V1-5', '2B')) | |
| # TODO: DPO in the name | |
| self.assertEqual(gguf.Metadata.get_model_id_components("jondurbin/bagel-dpo-2.8b-v0.2"), | |
| ('bagel-dpo-2.8b-v0.2', 'jondurbin', 'bagel-dpo', None, 'v0.2', '2.8B')) | |
| # DPO in name, but can't be used for the finetune to keep 'LLaMA-3' in the basename | |
| self.assertEqual(gguf.Metadata.get_model_id_components("voxmenthe/SFR-Iterative-DPO-LLaMA-3-8B-R-unquantized"), | |
| ('SFR-Iterative-DPO-LLaMA-3-8B-R-unquantized', 'voxmenthe', 'SFR-Iterative-DPO-LLaMA-3', 'R-unquantized', None, '8B')) | |
| # Too ambiguous | |
| # TODO: should "base" be a 'finetune' or 'size_label'? | |
| # (in this case it should be a size label, but other models use it to signal that they are not finetuned) | |
| self.assertEqual(gguf.Metadata.get_model_id_components("microsoft/Florence-2-base"), | |
| ('Florence-2-base', 'microsoft', None, None, None, None)) | |
| ## Invalid cases ## | |
| # Start with a dash and has dashes in rows | |
| self.assertEqual(gguf.Metadata.get_model_id_components("mistralai/-Mistral--Nemo-Base-2407-"), | |
| ('-Mistral--Nemo-Base-2407-', 'mistralai', 'Mistral-Nemo-Base', None, '2407', None)) | |
| ## LoRA ## | |
| self.assertEqual(gguf.Metadata.get_model_id_components("Llama-3-Instruct-abliteration-LoRA-8B"), | |
| ('Llama-3-Instruct-abliteration-LoRA-8B', None, 'Llama-3', 'Instruct-abliteration-LoRA', None, '8B')) | |
| # Negative size --> output is a LoRA adaper --> prune "LoRA" out of the name to avoid redundancy with the suffix | |
| self.assertEqual(gguf.Metadata.get_model_id_components("Llama-3-Instruct-abliteration-LoRA-8B", -1234), | |
| ('Llama-3-Instruct-abliteration-LoRA-8B', None, 'Llama-3', 'Instruct-abliteration', None, '8B')) | |
| def test_apply_metadata_heuristic_from_model_card(self): | |
| model_card = { | |
| 'tags': ['Llama-3', 'instruct', 'finetune', 'chatml', 'DPO', 'RLHF', 'gpt4', 'synthetic data', 'distillation', 'function calling', 'json mode', 'axolotl'], | |
| 'model-index': [{'name': 'Mixtral-8x7B-Instruct-v0.1', 'results': []}], | |
| 'language': ['en'], | |
| 'datasets': ['teknium/OpenHermes-2.5'], | |
| 'widget': [{'example_title': 'Hermes 2 Pro', 'messages': [{'role': 'system', 'content': 'You are a sentient, superintelligent artificial general intelligence, here to teach and assist me.'}, {'role': 'user', 'content': 'Write a short story about Goku discovering kirby has teamed up with Majin Buu to destroy the world.'}]}], | |
| 'base_model': ["EmbeddedLLM/Mistral-7B-Merge-14-v0", "janai-hq/trinity-v1"] | |
| } | |
| got = gguf.Metadata.apply_metadata_heuristic(gguf.Metadata(), model_card, None, None) | |
| expect = gguf.Metadata() | |
| expect.base_models=[{'name': 'Mistral 7B Merge 14 v0', 'organization': 'EmbeddedLLM', 'version': '14-v0', 'repo_url': 'https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-v0'}, {'name': 'Trinity v1', 'organization': 'Janai Hq', 'version': 'v1', 'repo_url': 'https://huggingface.co/janai-hq/trinity-v1'}] | |
| expect.tags=['Llama-3', 'instruct', 'finetune', 'chatml', 'DPO', 'RLHF', 'gpt4', 'synthetic data', 'distillation', 'function calling', 'json mode', 'axolotl'] | |
| expect.languages=['en'] | |
| expect.datasets=['teknium/OpenHermes-2.5'] | |
| self.assertEqual(got, expect) | |
| def test_apply_metadata_heuristic_from_hf_parameters(self): | |
| hf_params = {"_name_or_path": "./hermes-2-pro-llama-3-8b-DPO"} | |
| got = gguf.Metadata.apply_metadata_heuristic(gguf.Metadata(), model_card=None, hf_params=hf_params, model_path=None) | |
| expect = gguf.Metadata(name='Hermes 2 Pro Llama 3 8b DPO', finetune='DPO', basename='hermes-2-pro-llama-3', size_label='8B') | |
| self.assertEqual(got, expect) | |
| def test_apply_metadata_heuristic_from_model_dir(self): | |
| model_dir_path = Path("./hermes-2-pro-llama-3-8b-DPO") | |
| got = gguf.Metadata.apply_metadata_heuristic(gguf.Metadata(), model_card=None, hf_params=None, model_path=model_dir_path) | |
| expect = gguf.Metadata(name='Hermes 2 Pro Llama 3 8b DPO', finetune='DPO', basename='hermes-2-pro-llama-3', size_label='8B') | |
| self.assertEqual(got, expect) | |
| if __name__ == "__main__": | |
| unittest.main() | |