From 8cac604223f464cc170b80f714e332020e0899a0 Mon Sep 17 00:00:00 2001 From: Philipp Emanuel Weidmann Date: Fri, 2 Oct 2026 14:00:50 +0530 Subject: [PATCH] chore: update dependencies --- pyproject.toml | 49 +- src/heretic/config.py | 6 +- src/heretic/main.py | 64 +- src/heretic/model.py | 73 +- src/heretic/modifier.py | 2 +- src/heretic/modifiers/abliteration.py | 19 +- src/heretic/modifiers/ara.py | 13 +- src/heretic/plugin.py | 2 +- src/heretic/reproduce.py | 28 +- src/heretic/scorers/benchmark_score.py | 2 +- src/heretic/system.py | 8 +- tests/gemma-4e/SHA256SUMS.ci | 7 - tests/gemma-4e/SHA256SUMS.ci2 | 7 - tests/gemma-4e/SHA256SUMS.ci3 | 7 - tests/gemma-4e/SHA256SUMS.linux | 4 +- tests/gemma-4e/SHA256SUMS.windows | 7 - tests/gpt-oss/SHA256SUMS.linux | 4 +- .../{SHA256SUMS.ci => SHA256SUMS.linux} | 4 +- tests/minicpm5/SHA256SUMS.windows | 6 - tests/mistral-3/SHA256SUMS.ci | 7 - tests/mistral-3/SHA256SUMS.ci2 | 7 - tests/mistral-3/SHA256SUMS.linux | 8 +- tests/mistral-3/SHA256SUMS.windows | 7 - tests/qwen2.5/SHA256SUMS.ci2 | 6 - .../{SHA256SUMS.ci => SHA256SUMS.linux} | 4 +- tests/qwen2.5/SHA256SUMS.windows | 6 - tests/qwen3.5-moe/SHA256SUMS.ci | 7 - tests/qwen3.5-moe/SHA256SUMS.linux | 12 +- tests/qwen3.5-moe/SHA256SUMS.windows | 7 - tests/run_tests.py | 24 +- tests/seed-oss/SHA256SUMS.linux | 4 +- uv.lock | 4892 ++++++++++------- 32 files changed, 3071 insertions(+), 2232 deletions(-) delete mode 100644 tests/gemma-4e/SHA256SUMS.ci delete mode 100644 tests/gemma-4e/SHA256SUMS.ci2 delete mode 100644 tests/gemma-4e/SHA256SUMS.ci3 delete mode 100644 tests/gemma-4e/SHA256SUMS.windows rename tests/minicpm5/{SHA256SUMS.ci => SHA256SUMS.linux} (74%) delete mode 100644 tests/minicpm5/SHA256SUMS.windows delete mode 100644 tests/mistral-3/SHA256SUMS.ci delete mode 100644 tests/mistral-3/SHA256SUMS.ci2 delete mode 100644 tests/mistral-3/SHA256SUMS.windows delete mode 100644 tests/qwen2.5/SHA256SUMS.ci2 rename tests/qwen2.5/{SHA256SUMS.ci => SHA256SUMS.linux} (74%) delete mode 100644 tests/qwen2.5/SHA256SUMS.windows delete mode 100644 tests/qwen3.5-moe/SHA256SUMS.ci delete mode 100644 tests/qwen3.5-moe/SHA256SUMS.windows diff --git a/pyproject.toml b/pyproject.toml index a4c594e..83b5a7d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -14,7 +14,6 @@ classifiers = [ "Environment :: Console", "Environment :: GPU", "Intended Audience :: Science/Research", - "License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)", "Topic :: Scientific/Engineering :: Artificial Intelligence", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.10", @@ -22,32 +21,32 @@ classifiers = [ "Programming Language :: Python :: 3.12", ] dependencies = [ - "accelerate~=1.13", - "bitsandbytes~=0.49", - "datasets~=4.7", - "huggingface-hub~=1.7", + "accelerate~=1.15", + "bitsandbytes~=0.50", + "datasets~=5.0", + "huggingface-hub~=1.33", "immutabledict~=4.3", "langdetect~=1.0", "lm-eval[hf]~=0.4", "numpy~=2.2", - "optuna~=4.7", - "peft~=0.19", + "optuna~=5.0", + "peft~=0.21", "psutil~=7.2", "py-cpuinfo~=9.0", - "pydantic-settings~=2.13", + "pydantic-settings~=2.15", "questionary~=2.1", - "rich~=14.3", + "rich~=15.0", "tomli-w~=1.2", "torch", # version deliberately unspecified "torchvision", # version deliberately unspecified - "tqdm~=4.67", - "transformers[kernels]~=5.6", + "tqdm~=4.70", + "transformers[kernels]~=5.18", ] [dependency-groups] dev = [ - "ruff>=0.14.5", - "ty>=0.0.5", + "ruff>=0.16.9", + "ty>=0.0.84", ] [project.urls] @@ -61,11 +60,31 @@ Changelog = "https://github.com/p-e-w/heretic/releases" heretic = "heretic.main:main" [build-system] -requires = ["uv_build>=0.8.11,<0.9.0"] +requires = ["uv_build>=0.12.21,<0.13.0"] build-backend = "uv_build" +[tool.ruff.lint] +ignore = [ + "B023", # "Function definition does not bind loop variable" + "BLE001", # "Do not catch blind exception" + "TRY002", # "Create your own exception" + "SIM117", # "Use a single `with` statement with multiple contexts instead of nested `with` statements" +] + [tool.uv] -exclude-newer = "7 days" +# TODO: Re-enable before 2.0 release! +#exclude-newer = "7 days" + +[tool.uv.sources] +torch = { index = "pytorch" } +torchvision = { index = "pytorch" } + +[[tool.uv.index]] +# Default to CPU wheels for PyTorch to avoid issues in CI. +# Can be overridden by passing `--index pytorch=` to uv. +name = "pytorch" +url = "https://download.pytorch.org/whl/cpu" +explicit = true [tool.uv.build-backend] module-name = "heretic" diff --git a/src/heretic/config.py b/src/heretic/config.py index 384851f..126077b 100644 --- a/src/heretic/config.py +++ b/src/heretic/config.py @@ -2,7 +2,7 @@ # Copyright (C) 2025-2026 Philipp Emanuel Weidmann + contributors from enum import Enum -from typing import Dict, Literal, TypeAlias +from typing import Literal, TypeAlias from pydantic import ( BaseModel, @@ -254,12 +254,12 @@ class Settings(BaseSettings): ), ) - device_map: str | Dict[str, int | str] = Field( + device_map: str | dict[str, int | str] = Field( default="auto", description="Device map to pass to Accelerate when loading the model.", ) - max_memory: Dict[str, str] | None = Field( + max_memory: dict[str, str] | None = Field( default=None, description='Maximum memory to allocate per device (e.g., { "0" = "20GB", "cpu" = "64GB" }).', ) diff --git a/src/heretic/main.py b/src/heretic/main.py index 3c291a0..241415b 100644 --- a/src/heretic/main.py +++ b/src/heretic/main.py @@ -1,8 +1,6 @@ # SPDX-License-Identifier: AGPL-3.0-or-later # Copyright (C) 2025-2026 Philipp Emanuel Weidmann + contributors -# ruff: noqa: E402 - import sys # Ensure standard output/error use UTF-8 instead of system default charmap (e.g. cp1252 on Windows). @@ -23,7 +21,7 @@ def _is_help_invocation() -> bool: # Parse and handle CLI help before importing heavyweight ML/runtime dependencies. if _is_help_invocation(): - Settings() # ty:ignore[missing-argument] + Settings() # FIXME: Rich progress bars are currently disabled because of rendering issues # when used from multiple threads in parallel (e.g. by huggingface_hub). @@ -223,7 +221,7 @@ def run(): try: # The required argument "model" must be provided by the user, # either on the command line or in the configuration file. - settings = Settings() # ty:ignore[missing-argument] + settings = Settings() except ValidationError as error: print(f"[red]Configuration contains [bold]{error.error_count()}[/] errors:[/]") @@ -251,12 +249,10 @@ def run(): if reproduction_information["version"] != "4": print( - ( - f"[red]Unsupported file format version: [bold]{reproduction_information['version']}[/].[/] " - "This version of Heretic reads version 4 (plugin-based) reproduce.json files. " - "Older files were produced before the introduction of the plugin system and are not supported. " - "Please install Heretic 1.4 to use these files." - ) + f"[red]Unsupported file format version: [bold]{reproduction_information['version']}[/].[/] " + "This version of Heretic reads version 4 (plugin-based) reproduce.json files. " + "Older files were produced before the introduction of the plugin system and are not supported. " + "Please install Heretic 1.4 to use these files." ) return @@ -339,12 +335,10 @@ def run(): if settings.checkpoint_action is None: print() print( - ( - "[green]You have already processed this model.[/] " - "You can show the results from the previous run, allowing you to export models or to run additional trials. " - "Alternatively, you can ignore the previous run and start from scratch. " - "This will delete the checkpoint file and all results from the previous run." - ) + "[green]You have already processed this model.[/] " + "You can show the results from the previous run, allowing you to export models or to run additional trials. " + "Alternatively, you can ignore the previous run and start from scratch. " + "This will delete the checkpoint file and all results from the previous run." ) choices.append( @@ -357,12 +351,10 @@ def run(): if settings.checkpoint_action is None: print() print( - ( - "[yellow]You have already processed this model, but the run was interrupted.[/] " - "You can continue the previous run from where it stopped. This will override any specified settings. " - "Alternatively, you can ignore the previous run and start from scratch. " - "This will delete the checkpoint file and all results from the previous run." - ) + "[yellow]You have already processed this model, but the run was interrupted.[/] " + "You can continue the previous run from where it stopped. This will override any specified settings. " + "Alternatively, you can ignore the previous run and start from scratch. " + "This will delete the checkpoint file and all results from the previous run." ) choices.append( @@ -771,12 +763,10 @@ def run(): if settings.trial_index is None: print() print( - ( - "The following trials resulted in Pareto optimal combinations of the optimization objectives. " - "After selecting a trial, you will be able to save the model, upload it to Hugging Face, " - "chat with it to test how well it works, or run standard benchmarks on it. " - "You can return to this menu later to select a different trial. " - ) + "The following trials resulted in Pareto optimal combinations of the optimization objectives. " + "After selecting a trial, you will be able to save the model, upload it to Hugging Face, " + "chat with it to test how well it works, or run standard benchmarks on it. " + "You can return to this menu later to select a different trial. " ) while trial_loop_active: @@ -1077,13 +1067,11 @@ def run(): if is_reproducible: if settings.upload_reproducibility_information is None: print( - ( - "Heretic can add information to the repository that allows others to reproduce the model. " - "This is optional, but valuable to the community as both a learning tool and to preserve computational work already done. " - "Guaranteeing reproducibility requires basic system information (Python and OS version, CPU and GPU/accelerator info) " - "as tensor operations can give different results in different system environments. " - "[bold]The information does not include any file system paths or other private data.[/]" - ) + "Heretic can add information to the repository that allows others to reproduce the model. " + "This is optional, but valuable to the community as both a learning tool and to preserve computational work already done. " + "Guaranteeing reproducibility requires basic system information (Python and OS version, CPU and GPU/accelerator info) " + "as tensor operations can give different results in different system environments. " + "[bold]The information does not include any file system paths or other private data.[/]" ) reproducibility_information = ask_if_unset( @@ -1115,7 +1103,7 @@ def run(): if strategy == ExportStrategy.ADAPTER: print("Uploading LoRA adapter...") model.model.push_to_hub( - repo_id, + repo_id, # ty: ignore[invalid-argument-type] private=private, max_shard_size=settings.max_shard_size, token=token, @@ -1124,7 +1112,7 @@ def run(): print("Uploading merged model...") merged_model = model.get_merged_model() merged_model.push_to_hub( - repo_id, + repo_id, # ty: ignore[invalid-argument-type] private=private, max_shard_size=settings.max_shard_size, token=token, @@ -1319,7 +1307,7 @@ def run(): benchmark_original_model = scope == "Benchmark both models" hflm = HFLM( - pretrained=model.model, # ty:ignore[invalid-argument-type] + pretrained=model.model, tokenizer=model.tokenizer, # ty:ignore[invalid-argument-type] batch_size="auto", ) diff --git a/src/heretic/model.py b/src/heretic/model.py index 7112e14..951aa89 100644 --- a/src/heretic/model.py +++ b/src/heretic/model.py @@ -1,8 +1,9 @@ # SPDX-License-Identifier: AGPL-3.0-or-later # Copyright (C) 2025-2026 Philipp Emanuel Weidmann + contributors +from collections.abc import Callable from contextlib import suppress -from typing import Any, Callable, Type, TypeAlias, cast +from typing import Any, TypeAlias, cast import torch from peft import LoraConfig, PeftModel, get_peft_model @@ -23,7 +24,7 @@ from transformers import ( TextStreamer, ) from transformers.generation import ( - GenerateDecoderOnlyOutput, # ty:ignore[possibly-missing-import] + GenerateDecoderOnlyOutput, ) from .config import QuantizationMethod, Settings @@ -33,10 +34,10 @@ from .utils import Prompt, batchify, format_exception, print def get_model_class( model: str, -) -> Type[AutoModelForImageTextToText] | Type[AutoModelForCausalLM]: +) -> type[AutoModelForImageTextToText] | type[AutoModelForCausalLM]: configs = PretrainedConfig.get_config_dict(model) - if any([("vision_config" in config) for config in configs]): + if any(("vision_config" in config) for config in configs): return AutoModelForImageTextToText else: return AutoModelForCausalLM @@ -68,9 +69,14 @@ class Model: print() print(f"Loading model [bold]{settings.model}[/]...") - self.tokenizer = AutoTokenizer.from_pretrained( - settings.model, - **self.revision_kwargs, + # PreTrainedTokenizerBase is the "base class for all tokenizer backends" + # according to the documentation. + self.tokenizer = cast( + PreTrainedTokenizerBase, + AutoTokenizer.from_pretrained( + settings.model, + **self.revision_kwargs, + ), ) # Multimodal models have a processor we'll want to save. @@ -90,7 +96,7 @@ class Model: # after the prompt and thinks the sequence is complete. self.tokenizer.padding_side = "left" - self.model = None # ty:ignore[invalid-assignment] + self.model = None self.max_memory = ( {int(k) if k.isdigit() else k: v for k, v in settings.max_memory.items()} if settings.max_memory @@ -143,7 +149,7 @@ class Model: max_new_tokens=1, ) except Exception as error: - self.model = None # ty:ignore[invalid-assignment] + self.model = None empty_cache() formatted = format_exception(error) @@ -315,7 +321,7 @@ class Model: return True # Purge existing model object from memory to make space. - self.model = None # ty:ignore[invalid-assignment] + self.model = None empty_cache() quantization_config = self._get_quantization_config( @@ -352,10 +358,10 @@ class Model: # Most multimodal models. with suppress(Exception): - return model.model.language_model.layers + return model.model.language_model.layers # ty: ignore[unresolved-attribute, invalid-return-type] # Text-only models. - return model.model.layers + return model.model.layers # ty: ignore[unresolved-attribute, invalid-return-type] def get_layer_modules(self, layer_index: int) -> dict[str, list[Module]]: layer = self.get_layers()[layer_index] @@ -376,50 +382,50 @@ class Model: # Standard self-attention out-projection (most models). with suppress(Exception): - try_add("attn.o_proj", layer.self_attn.o_proj) # ty:ignore[possibly-missing-attribute] + try_add("attn.o_proj", layer.self_attn.o_proj) # ty: ignore[unresolved-attribute] # Qwen3.5 MoE hybrid layers use GatedDeltaNet (linear attention) instead of # standard self-attention, so self_attn.o_proj doesn't exist on those layers. with suppress(Exception): - try_add("attn.o_proj", layer.linear_attn.out_proj) # ty:ignore[possibly-missing-attribute] + try_add("attn.o_proj", layer.linear_attn.out_proj) # ty: ignore[unresolved-attribute] # Most dense models. with suppress(Exception): - try_add("mlp.down_proj", layer.mlp.down_proj) # ty:ignore[possibly-missing-attribute] + try_add("mlp.down_proj", layer.mlp.down_proj) # ty: ignore[unresolved-attribute] # Some MoE models (e.g. Qwen3). with suppress(Exception): - for expert in layer.mlp.experts: # ty:ignore[possibly-missing-attribute, not-iterable] - try_add("mlp.down_proj", expert.down_proj) # ty:ignore[possibly-missing-attribute] + for expert in layer.mlp.experts: # ty:ignore[not-iterable, unresolved-attribute] + try_add("mlp.down_proj", expert.down_proj) # ty: ignore[unresolved-attribute] # Phi-3.5-MoE (and possibly others). with suppress(Exception): - for expert in layer.block_sparse_moe.experts: # ty:ignore[possibly-missing-attribute, not-iterable] - try_add("mlp.down_proj", expert.w2) # ty:ignore[possibly-missing-attribute] + for expert in layer.block_sparse_moe.experts: # ty:ignore[not-iterable, unresolved-attribute] + try_add("mlp.down_proj", expert.w2) # ty: ignore[unresolved-attribute] # LFM dense operator blocks. with suppress(Exception): - try_add("attn.o_proj", layer.conv.out_proj) # ty:ignore[possibly-missing-attribute] + try_add("attn.o_proj", layer.conv.out_proj) # ty: ignore[unresolved-attribute] with suppress(Exception): - try_add("mlp.down_proj", layer.feed_forward.w2) # ty:ignore[possibly-missing-attribute] + try_add("mlp.down_proj", layer.feed_forward.w2) # ty: ignore[unresolved-attribute] # LFM transformer blocks. with suppress(Exception): - try_add("attn.o_proj", layer.self_attn.out_proj) # ty:ignore[possibly-missing-attribute] + try_add("attn.o_proj", layer.self_attn.out_proj) # ty: ignore[unresolved-attribute] with suppress(Exception): - for expert in layer.feed_forward.experts: # ty:ignore[possibly-missing-attribute, not-iterable] - try_add("mlp.down_proj", expert.w2) # ty:ignore[possibly-missing-attribute] + for expert in layer.feed_forward.experts: # ty:ignore[not-iterable, unresolved-attribute] + try_add("mlp.down_proj", expert.w2) # ty: ignore[unresolved-attribute] # Granite MoE Hybrid - attention layers with shared_mlp. with suppress(Exception): - try_add("mlp.down_proj", layer.shared_mlp.output_linear) # ty:ignore[possibly-missing-attribute] + try_add("mlp.down_proj", layer.shared_mlp.output_linear) # ty: ignore[unresolved-attribute] # Granite MoE Hybrid - MoE layers with experts. with suppress(Exception): - for expert in layer.moe.experts: # ty:ignore[possibly-missing-attribute, not-iterable] - try_add("mlp.down_proj", expert.output_linear) # ty:ignore[possibly-missing-attribute] + for expert in layer.moe.experts: # ty:ignore[not-iterable, unresolved-attribute] + try_add("mlp.down_proj", expert.output_linear) # ty: ignore[unresolved-attribute] # We need at least one module across all components for abliteration to work. total_modules = sum(len(mods) for mods in modules.values()) @@ -512,11 +518,12 @@ class Model: responses = [] for batch in batchify(prompts, self.settings.batch_size): - for response in self.get_responses( - batch, - skip_special_tokens=skip_special_tokens, - ): - responses.append(response) + responses.extend( + self.get_responses( + batch, + skip_special_tokens=skip_special_tokens, + ) + ) return responses @@ -809,7 +816,7 @@ class Model: # The TextStreamer constructor annotates this parameter with the AutoTokenizer # type, which makes no sense because AutoTokenizer is a factory class, # not a base class that tokenizers inherit from. - self.tokenizer, # ty:ignore[invalid-argument-type] + self.tokenizer, skip_prompt=True, skip_special_tokens=True, ) diff --git a/src/heretic/modifier.py b/src/heretic/modifier.py index f17ad97..673b307 100644 --- a/src/heretic/modifier.py +++ b/src/heretic/modifier.py @@ -32,7 +32,7 @@ class Serializable(Protocol): Parameters = TypeVar("Parameters", bound=Serializable) -class Modifier(Generic[Parameters], Plugin, ABC): +class Modifier(Plugin, ABC, Generic[Parameters]): """ Abstract base class for modifier plugins. diff --git a/src/heretic/modifiers/abliteration.py b/src/heretic/modifiers/abliteration.py index 842dd42..79ebbbd 100644 --- a/src/heretic/modifiers/abliteration.py +++ b/src/heretic/modifiers/abliteration.py @@ -6,7 +6,7 @@ from dataclasses import asdict, dataclass from enum import Enum from typing import Any, cast -import bitsandbytes as bnb +import bitsandbytes.functional as BNB_F import torch import torch.linalg as LA import torch.nn.functional as F @@ -332,9 +332,7 @@ class Abliteration(Modifier[Parameters]): weight_distribution = parameters.weight_distributions[component] # Type inference fails here for some reason. - distance = cast( - float, abs(layer_index - weight_distribution.max_weight_position) - ) + distance = abs(layer_index - weight_distribution.max_weight_position) # Don't orthogonalize layers that are more than # min_weight_distance away from max_weight_position. @@ -390,15 +388,10 @@ class Abliteration(Modifier[Parameters]): W = base_weight.to(torch.float32) else: # 4-bit quantization. - # This cast is always valid. Type inference fails here because the - # bnb.functional module is not found by ty for some reason. - W = cast( - Tensor, - bnb.functional.dequantize_4bit( # ty:ignore[possibly-missing-attribute] - base_weight.data, - quant_state, - ).to(torch.float32), - ) + W = BNB_F.dequantize_4bit( + base_weight.data, + quant_state, + ).to(torch.float32) # Flatten weight matrix to (out_features, in_features). W = W.view(W.shape[0], -1) diff --git a/src/heretic/modifiers/ara.py b/src/heretic/modifiers/ara.py index f93a708..428c4ab 100644 --- a/src/heretic/modifiers/ara.py +++ b/src/heretic/modifiers/ara.py @@ -7,7 +7,7 @@ from dataclasses import asdict, dataclass from typing import Any, cast -import bitsandbytes as bnb +import bitsandbytes.functional as BNB_F import torch import torch.linalg as LA import torch.nn.functional as F @@ -264,13 +264,10 @@ class ARA(Modifier[Parameters]): W_base = base_weight.to(torch.float32) else: # Use the original dequantization logic from bitsandbytes. - W_base = cast( - Tensor, - bnb.functional.dequantize_4bit( # ty:ignore[possibly-missing-attribute] - base_weight.data, - quant_state, - ).to(torch.float32), - ) + W_base = BNB_F.dequantize_4bit( + base_weight.data, + quant_state, + ).to(torch.float32) # Pre-calculate the original row norms to preserve them. # See https://huggingface.co/blog/grimjim/norm-preserving-biprojected-abliteration diff --git a/src/heretic/plugin.py b/src/heretic/plugin.py index ffdb4d5..cbff3d6 100644 --- a/src/heretic/plugin.py +++ b/src/heretic/plugin.py @@ -362,4 +362,4 @@ class Plugin: Override this in subclasses to do one-time setup (e.g. load prompts, compute baselines). """ - return None + return diff --git a/src/heretic/reproduce.py b/src/heretic/reproduce.py index 7261914..0f5a04f 100644 --- a/src/heretic/reproduce.py +++ b/src/heretic/reproduce.py @@ -81,7 +81,7 @@ def collect_reproducibles(path: str): found += 1 - commit_hash = paths_info[0].last_commit.oid + commit_hash = paths_info[0].last_commit.oid # ty: ignore[unresolved-attribute] file_path = ( Path(path) @@ -285,12 +285,10 @@ def check_environment( else: print( - ( - "[yellow]The provided JSON file does not contain system information. " - "Some system parameters can affect reproducibility, but due to the lack of system information, " - "Heretic is unable to verify that those parameters match the original environment. " - "Reproduction may or may not produce a byte-for-byte identical model.[/]" - ) + "[yellow]The provided JSON file does not contain system information. " + "Some system parameters can affect reproducibility, but due to the lack of system information, " + "Heretic is unable to verify that those parameters match the original environment. " + "Reproduction may or may not produce a byte-for-byte identical model.[/]" ) requirements = get_requirements_dict() @@ -321,10 +319,8 @@ def check_environment( if system_mismatches or package_mismatches: print() print( - ( - "[yellow]Your local environment doesn't perfectly match the environment " - "used to produce the original model. The following components differ:[/]" - ) + "[yellow]Your local environment doesn't perfectly match the environment " + "used to produce the original model. The following components differ:[/]" ) if system_mismatches: @@ -358,12 +354,10 @@ def check_environment( if system_mismatches or package_mismatches: print() print( - ( - f"There is a {cast(MismatchSeverity, mismatch_severity).__rich__()} chance " - "that reproduction won't produce a byte-for-byte identical model. " - "However, the resulting model will very likely still behave similarly " - "to the original model." - ) + f"There is a {cast(MismatchSeverity, mismatch_severity).__rich__()} chance " + "that reproduction won't produce a byte-for-byte identical model. " + "However, the resulting model will very likely still behave similarly " + "to the original model." ) if settings.ignore_mismatches is None: diff --git a/src/heretic/scorers/benchmark_score.py b/src/heretic/scorers/benchmark_score.py index 15aaf8c..6694a90 100644 --- a/src/heretic/scorers/benchmark_score.py +++ b/src/heretic/scorers/benchmark_score.py @@ -44,7 +44,7 @@ class BenchmarkScore(Scorer): model = ctx.get_model() self.hflm = HFLM( - pretrained=model.model, # ty:ignore[invalid-argument-type] + pretrained=model.model, tokenizer=model.tokenizer, # ty:ignore[invalid-argument-type] batch_size="auto", ) diff --git a/src/heretic/system.py b/src/heretic/system.py index ddefb41..0ac41c4 100644 --- a/src/heretic/system.py +++ b/src/heretic/system.py @@ -96,7 +96,7 @@ def get_amdgpu_driver_version() -> str | None: if os.path.exists(version_path): with open(version_path, "r", encoding="utf-8") as f: return f.read().strip() - except Exception: + except Exception: # noqa: S110 pass return None @@ -249,7 +249,7 @@ def get_accelerator_info_dict() -> dict[str, Any]: info: dict[str, Any] = { "type": "ROCm" if is_rocm else "CUDA", "api_name": "HIP Version" if is_rocm else "CUDA Version", - "api_version": torch.version.hip if is_rocm else torch.version.cuda, # ty:ignore[unresolved-attribute] + "api_version": torch.version.hip if is_rocm else torch.version.cuda, "driver_version": get_amdgpu_driver_version() if is_rocm else get_nvidia_driver_version(), @@ -264,13 +264,13 @@ def get_accelerator_info_dict() -> dict[str, Any]: return info if is_xpu_available(): - count = torch.xpu.device_count() # ty:ignore[unresolved-attribute] + count = torch.xpu.device_count() return { "type": "XPU", "api_name": None, "api_version": None, "driver_version": get_xpu_driver_version(), - "devices": [{"name": torch.xpu.get_device_name(i)} for i in range(count)], # ty:ignore[unresolved-attribute] + "devices": [{"name": torch.xpu.get_device_name(i)} for i in range(count)], } if is_mlu_available(): diff --git a/tests/gemma-4e/SHA256SUMS.ci b/tests/gemma-4e/SHA256SUMS.ci deleted file mode 100644 index 7889e21..0000000 --- a/tests/gemma-4e/SHA256SUMS.ci +++ /dev/null @@ -1,7 +0,0 @@ -2f1b4d75d067bae3fe44e676721c7f077d243bc007156cb9c2f8b5836613d082 *chat_template.jinja -ca80080dfa4ec6ba87152fa2b9afe70b90c400e5c4b1d6bdc3aa3114467ca68f *config.json -70070bac883cf9c39b5992450d6b23cd160eaf33099e24c654e0359d2f87c760 *generation_config.json -f3f4ec19504f182486459cf4e255ece265c25f827840d63b6a9d4058b8e4877a *model.safetensors -32bdf45d2ad4cc29a0822ddd157a182de76644f0419a6228d151495256e9813c *processor_config.json -cc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f *tokenizer.json -a1bab8c81ed15fa6ce912ec993c66cb49392e0487fb1ea5f5f11ea3618683627 *tokenizer_config.json diff --git a/tests/gemma-4e/SHA256SUMS.ci2 b/tests/gemma-4e/SHA256SUMS.ci2 deleted file mode 100644 index 7388619..0000000 --- a/tests/gemma-4e/SHA256SUMS.ci2 +++ /dev/null @@ -1,7 +0,0 @@ -2f1b4d75d067bae3fe44e676721c7f077d243bc007156cb9c2f8b5836613d082 *chat_template.jinja -ca80080dfa4ec6ba87152fa2b9afe70b90c400e5c4b1d6bdc3aa3114467ca68f *config.json -70070bac883cf9c39b5992450d6b23cd160eaf33099e24c654e0359d2f87c760 *generation_config.json -53c4ee891dce23c0ac85bebc2c4d48301469750fafbb3e6e024c15786d94db8b *model.safetensors -32bdf45d2ad4cc29a0822ddd157a182de76644f0419a6228d151495256e9813c *processor_config.json -cc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f *tokenizer.json -a1bab8c81ed15fa6ce912ec993c66cb49392e0487fb1ea5f5f11ea3618683627 *tokenizer_config.json diff --git a/tests/gemma-4e/SHA256SUMS.ci3 b/tests/gemma-4e/SHA256SUMS.ci3 deleted file mode 100644 index 8a57057..0000000 --- a/tests/gemma-4e/SHA256SUMS.ci3 +++ /dev/null @@ -1,7 +0,0 @@ -2f1b4d75d067bae3fe44e676721c7f077d243bc007156cb9c2f8b5836613d082 *chat_template.jinja -ca80080dfa4ec6ba87152fa2b9afe70b90c400e5c4b1d6bdc3aa3114467ca68f *config.json -70070bac883cf9c39b5992450d6b23cd160eaf33099e24c654e0359d2f87c760 *generation_config.json -9ff0593e3fbd0ba463bbc980ebb3ed34798e562b606f90cd93c2df5403732c7b *model.safetensors -32bdf45d2ad4cc29a0822ddd157a182de76644f0419a6228d151495256e9813c *processor_config.json -cc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f *tokenizer.json -a1bab8c81ed15fa6ce912ec993c66cb49392e0487fb1ea5f5f11ea3618683627 *tokenizer_config.json diff --git a/tests/gemma-4e/SHA256SUMS.linux b/tests/gemma-4e/SHA256SUMS.linux index 059a83e..d65f6c3 100644 --- a/tests/gemma-4e/SHA256SUMS.linux +++ b/tests/gemma-4e/SHA256SUMS.linux @@ -1,6 +1,6 @@ 2f1b4d75d067bae3fe44e676721c7f077d243bc007156cb9c2f8b5836613d082 *chat_template.jinja -ca80080dfa4ec6ba87152fa2b9afe70b90c400e5c4b1d6bdc3aa3114467ca68f *config.json -70070bac883cf9c39b5992450d6b23cd160eaf33099e24c654e0359d2f87c760 *generation_config.json +c128bc8647a505e343c8cdff9bdd188b1a4a3f81938148685cbf90dff9827268 *config.json +58678fb2b8ae1b96652dffa43f864ad1c1c59e49c889bab4264ba0844c4a23b8 *generation_config.json effe36925f85ecb1e29bba84501a456bb49df21e4047be8b7ea3f6f88181fb65 *model.safetensors 32bdf45d2ad4cc29a0822ddd157a182de76644f0419a6228d151495256e9813c *processor_config.json cc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f *tokenizer.json diff --git a/tests/gemma-4e/SHA256SUMS.windows b/tests/gemma-4e/SHA256SUMS.windows deleted file mode 100644 index 63e7f77..0000000 --- a/tests/gemma-4e/SHA256SUMS.windows +++ /dev/null @@ -1,7 +0,0 @@ -b16d3228a775c549ba97af41233a54e9de8dd2b65250f78346661d18b936a8b5 *chat_template.jinja -0094ad598a8043f84d82ad5c886547bca1d1d7f302d82f1491f83d388e89acd4 *config.json -1a019c5d688d54cf01318eab88cb4345dfa52135eb1d83c2f54125469eb88d5c *generation_config.json -effe36925f85ecb1e29bba84501a456bb49df21e4047be8b7ea3f6f88181fb65 *model.safetensors -24d00232e58cfa179fe8b3911c788d4aad9a6279d778ebe4c72e82623b6197f9 *processor_config.json -cc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f *tokenizer.json -8044bbbddaee8dc47e6b5660e013ba92224d4a5392b2939c59699aa0105f5c8b *tokenizer_config.json diff --git a/tests/gpt-oss/SHA256SUMS.linux b/tests/gpt-oss/SHA256SUMS.linux index 4d6fee4..8e8ced3 100644 --- a/tests/gpt-oss/SHA256SUMS.linux +++ b/tests/gpt-oss/SHA256SUMS.linux @@ -1,6 +1,6 @@ f8d9255777615591a7cc1a7c932f5a69e181128902295e1b81221d20d983cac7 *chat_template.jinja -91d2a5190c7ea0f74ed499428d4ad62b5208d63b36f7bbb562d15f4be25bd5c2 *config.json -dd6034a30113decdfaf8886622e20eb9e2e02d3f774918d474a4e26cfd7fbba8 *generation_config.json +22d559dde87f1a0faf02efed3062af2b1fc8a1721a55b952cd5f5d8c356b4feb *config.json +523e422e425e7a7ba23d85cc0faeef143dc5da37b72bfc649df5a8d83ee95beb *generation_config.json aefe8b9c4b4969f6d13c5d778760f3dce4e25134324b33677934550d9df02a7c *model.safetensors fce342a4642cb8afc42d8d89cfa21198b64a43458ded7f6ff28d1151a08c9cda *tokenizer.json 9ba5fa877168e24823cb583c55b4c2e4df0331f30084953c7cf07de294640384 *tokenizer_config.json diff --git a/tests/minicpm5/SHA256SUMS.ci b/tests/minicpm5/SHA256SUMS.linux similarity index 74% rename from tests/minicpm5/SHA256SUMS.ci rename to tests/minicpm5/SHA256SUMS.linux index b8b20f2..42d2622 100644 --- a/tests/minicpm5/SHA256SUMS.ci +++ b/tests/minicpm5/SHA256SUMS.linux @@ -1,6 +1,6 @@ 7451a05cf1e28a79d97d7c0bc951028c0b1915119bf9046acd06a0e3d931f47c *chat_template.jinja -fe6fd41d9f2ce5d6486748cf0330b574f37bf7d4e915f7b39d1af1a185cac3c3 *config.json -c4c2ef5ae4a4e2dd10655a3b99d801a8a50497286ddd042ba35bcfefc44ad349 *generation_config.json +de44f54b200f63c8ccb7899965bc9aaf21b23d35164c7de9a3cc3394530e3821 *config.json +12d96814a0cd1a72cae14392b04b9644353e8600614faa6eb7ee5edbf9452ec1 *generation_config.json 1535a9b7a91b2cb39ad280dbd9a940e2609a0b423d5b924df4d664e579912802 *model.safetensors ad92aaa8d3032c98a9158b8c5e8682bed10027ed6463e4fb1320fe5384210873 *tokenizer.json 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-39f03c383413f531fd302c06c7e982ad98c83f0657a8339ae25478ccb81fdcda *chat_template.jinja -f69f84977a47c8fea9ce9fc26b7de379216cb01146ea726a87996d3554cfcd19 *config.json -34dfa6012ca9ac5f57e5521d8dbaecbc7ab7f7ab0fd96ec020b543aab5f265d9 *generation_config.json -876c6691eb85e3e5e11771e589529830fb454ab26344e1271ae550661e312b50 *model.safetensors -84be30b124b50749c56d25fdbec5ccedf564446f6b3b035e88e1e07b986d2491 *processor_config.json -c3a8d92e371b92a2cd6e678e31ebc27d0235e929a51fbf290f74742b341fa96f *tokenizer.json -7b29c843c0043622d28fd4638451cbb0a609d99a0762ffbff3b92b4b2fee4d94 *tokenizer_config.json diff --git a/tests/mistral-3/SHA256SUMS.ci2 b/tests/mistral-3/SHA256SUMS.ci2 deleted file mode 100644 index 8729d40..0000000 --- a/tests/mistral-3/SHA256SUMS.ci2 +++ /dev/null @@ -1,7 +0,0 @@ -39f03c383413f531fd302c06c7e982ad98c83f0657a8339ae25478ccb81fdcda *chat_template.jinja -f69f84977a47c8fea9ce9fc26b7de379216cb01146ea726a87996d3554cfcd19 *config.json -34dfa6012ca9ac5f57e5521d8dbaecbc7ab7f7ab0fd96ec020b543aab5f265d9 *generation_config.json -6febb813086f253e5ec0fcda02fdfc849c551a7dba54681b37ac5bc402e4eed6 *model.safetensors -84be30b124b50749c56d25fdbec5ccedf564446f6b3b035e88e1e07b986d2491 *processor_config.json -c3a8d92e371b92a2cd6e678e31ebc27d0235e929a51fbf290f74742b341fa96f *tokenizer.json -7b29c843c0043622d28fd4638451cbb0a609d99a0762ffbff3b92b4b2fee4d94 *tokenizer_config.json diff --git a/tests/mistral-3/SHA256SUMS.linux b/tests/mistral-3/SHA256SUMS.linux index 367f1cc..7fc42c6 100644 --- a/tests/mistral-3/SHA256SUMS.linux +++ b/tests/mistral-3/SHA256SUMS.linux @@ -1,7 +1,7 @@ 39f03c383413f531fd302c06c7e982ad98c83f0657a8339ae25478ccb81fdcda *chat_template.jinja -f69f84977a47c8fea9ce9fc26b7de379216cb01146ea726a87996d3554cfcd19 *config.json -34dfa6012ca9ac5f57e5521d8dbaecbc7ab7f7ab0fd96ec020b543aab5f265d9 *generation_config.json -29aff97d5633dead9e1ccd29a2cc153b4b7431d22f63c8d6cf60bc6547681cc9 *model.safetensors 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1fa8e5d..0000000 --- a/tests/qwen3.5-moe/SHA256SUMS.ci +++ /dev/null @@ -1,7 +0,0 @@ -a4aee8afcf2e0711942cf848899be66016f8d14a889ff9ede07bca099c28f715 *chat_template.jinja -749b56d1b1e08081981169db6f2c44ab0be4fd6ebb452d15baafa5e09c21586a *config.json -4625d1d64d41d1fa9dae7af4ba1e1d7e65a194073d4efa58acb266a916eaaa74 *generation_config.json -2b3e575ac065f11ae5d4a7c3740efccbed294b646f1645239191ee8393354e03 *model.safetensors -01562eddd6f9e9ec4bc31656a3b7055284cafbf889acc6c4348dca431ae31f68 *processor_config.json -87a7830d63fcf43bf241c3c5242e96e62dd3fdc29224ca26fed8ea333db72de4 *tokenizer.json -2e31d1126e81bddf8d15c3f95260fb487b48c5131b24fcbb5bb9d2537e7afac0 *tokenizer_config.json diff --git a/tests/qwen3.5-moe/SHA256SUMS.linux b/tests/qwen3.5-moe/SHA256SUMS.linux index 2749fa4..dbd4c43 100644 --- a/tests/qwen3.5-moe/SHA256SUMS.linux +++ b/tests/qwen3.5-moe/SHA256SUMS.linux @@ -1,7 +1,7 @@ a4aee8afcf2e0711942cf848899be66016f8d14a889ff9ede07bca099c28f715 *chat_template.jinja 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a/tests/run_tests.py +++ b/tests/run_tests.py @@ -53,7 +53,7 @@ for test_directory in script_directory.iterdir(): print() - valid_hashes: dict[str, list[str]] = {} + valid_hashes: dict[str, set[str]] = {} for hash_file in hash_files: with open(hash_file, "r", encoding="utf-8") as file: @@ -63,25 +63,23 @@ for test_directory in script_directory.iterdir(): filename = filename.removeprefix("*") if filename not in valid_hashes: - valid_hashes[filename] = [] + valid_hashes[filename] = set() - valid_hashes[filename].append(sha256.lower()) + valid_hashes[filename].add(sha256.lower()) # Track which specific files failed within this test directory. failed_files: list[str] = [] - for filename in valid_hashes: + for filename, hashes in valid_hashes.items(): sha256 = get_file_sha256(test_directory / "model" / filename) - if sha256.lower() not in valid_hashes[filename]: + if sha256.lower() not in hashes: print( - ( - f"Test {test_directory.name} has FAILED!\n" - f"Output file {filename} doesn't match any valid hash.\n\n" - f"Valid hashes:\n" - f"{chr(10).join(valid_hashes[filename])}\n\n" - f"Actual hash:\n" - f"{sha256}\n" - ) + f"Test {test_directory.name} has FAILED!\n" + f"Output file {filename} doesn't match any valid hash.\n\n" + f"Valid hashes:\n" + f"{chr(10).join(hashes)}\n\n" + f"Actual hash:\n" + f"{sha256}\n" ) failed_files.append(filename) diff --git a/tests/seed-oss/SHA256SUMS.linux b/tests/seed-oss/SHA256SUMS.linux index 5191641..bebf3f6 100644 --- a/tests/seed-oss/SHA256SUMS.linux +++ b/tests/seed-oss/SHA256SUMS.linux @@ -1,6 +1,6 @@ 39a23a1a28f68acd747373fa688bea630021ec4db2bc8dec2fd3962240fb0418 *chat_template.jinja -35e3ad5aeaa78984629ceba6c22a4236b4c21d6959485900da2a5a98ea7e4062 *config.json -2ec7a17f55287d482ca956f5acff44d9e88f6c7fd5ec06c7c33d641afa9af330 *generation_config.json +45d58c7316e9dab89e918b9ca1c141b8c7f5250d55e0f9be76f2f452903aeef8 *config.json +02b35dff3057b998f224a3a5599dc7737ba028e3b4181ba89ba74ba1e707a5dc *generation_config.json 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