From 3a115e280c3f42b0f33ce4fb8aba685447c04c08 Mon Sep 17 00:00:00 2001
From: Spiky Moth <spikymoth@pm.me>
Date: Sun, 15 Feb 2026 14:40:10 +0100
Subject: [PATCH 01/12] fix: produce card for local models with existing readme
 (#157)

---
 src/heretic/main.py  | 18 +++++++++++++++---
 src/heretic/utils.py |  6 +++++-
 2 files changed, 20 insertions(+), 4 deletions(-)

diff --git a/src/heretic/main.py b/src/heretic/main.py
index 50befc7..016c392 100644
--- a/src/heretic/main.py
+++ b/src/heretic/main.py
@@ -823,11 +823,23 @@ def run():
                                     token=token,
                                 )
 
-                            # If the model path doesn't exist locally, it can be assumed
-                            # to be a model hosted on the Hugging Face Hub, in which case
+                            # If the model path exists locally and includes the
+                            # card, use it directly. If the model path doesn't
+                            # exist locally, it can be assumed to be a model
+                            # hosted on the Hugging Face Hub, in which case
                             # we can retrieve the model card.
-                            if not Path(settings.model).exists():
+                            model_path = Path(settings.model)
+                            if model_path.exists():
+                                card_path = (
+                                    model_path / huggingface_hub.constants.REPOCARD_NAME
+                                )
+                                if card_path.exists():
+                                    card = ModelCard.load(card_path)
+                                else:
+                                    card = None
+                            else:
                                 card = ModelCard.load(settings.model)
+                            if card is not None:
                                 if card.data is None:
                                     card.data = ModelCardData()
                                 if card.data.tags is None:
diff --git a/src/heretic/utils.py b/src/heretic/utils.py
index e706c5c..a0d5f35 100644
--- a/src/heretic/utils.py
+++ b/src/heretic/utils.py
@@ -271,7 +271,11 @@ def get_readme_intro(
     base_refusals: int,
     bad_prompts: list[Prompt],
 ) -> str:
-    model_link = f"[{settings.model}](https://huggingface.co/{settings.model})"
+    if Path(settings.model).exists():
+        # Hide the path, which may contain private information.
+        model_link = "a model"
+    else:
+        model_link = f"[{settings.model}](https://huggingface.co/{settings.model})"
 
     return f"""# This is a decensored version of {
         model_link

From 4c80c4beb95b4e73208b3afcc05e579fb15b892c Mon Sep 17 00:00:00 2001
From: cpagac <150854443+cpagac@users.noreply.github.com>
Date: Tue, 17 Feb 2026 01:23:41 -0600
Subject: [PATCH 02/12] fix: report VRAM usage across all GPUs instead of only
 the default device (#169)

memory_allocated() and memory_reserved() without a device argument only
report GPU 0. Sum across all devices for correct multi-GPU totals and
add total VRAM reporting.
---
 src/heretic/main.py  | 10 ++++++++--
 src/heretic/utils.py | 14 ++++++++++----
 2 files changed, 18 insertions(+), 6 deletions(-)

diff --git a/src/heretic/main.py b/src/heretic/main.py
index 016c392..3e6f4a6 100644
--- a/src/heretic/main.py
+++ b/src/heretic/main.py
@@ -174,9 +174,15 @@ def run():
     # Adapted from https://github.com/huggingface/accelerate/blob/main/src/accelerate/commands/env.py
     if torch.cuda.is_available():
         count = torch.cuda.device_count()
-        print(f"Detected [bold]{count}[/] CUDA device(s):")
+        total_vram = sum(torch.cuda.mem_get_info(i)[1] for i in range(count))
+        print(
+            f"Detected [bold]{count}[/] CUDA device(s) ({total_vram / (1024**3):.2f} GB total VRAM):"
+        )
         for i in range(count):
-            print(f"* GPU {i}: [bold]{torch.cuda.get_device_name(i)}[/]")
+            vram = torch.cuda.mem_get_info(i)[1] / (1024**3)
+            print(
+                f"* GPU {i}: [bold]{torch.cuda.get_device_name(i)}[/] ({vram:.2f} GB)"
+            )
     elif is_xpu_available():
         count = torch.xpu.device_count()
         print(f"Detected [bold]{count}[/] XPU device(s):")
diff --git a/src/heretic/utils.py b/src/heretic/utils.py
index a0d5f35..288ca0f 100644
--- a/src/heretic/utils.py
+++ b/src/heretic/utils.py
@@ -38,11 +38,17 @@ def print_memory_usage():
     p("Resident system RAM", Process().memory_info().rss)
 
     if torch.cuda.is_available():
-        p("Allocated GPU VRAM", torch.cuda.memory_allocated())
-        p("Reserved GPU VRAM", torch.cuda.memory_reserved())
+        count = torch.cuda.device_count()
+        allocated = sum(torch.cuda.memory_allocated(device) for device in range(count))
+        reserved = sum(torch.cuda.memory_reserved(device) for device in range(count))
+        p("Allocated GPU VRAM", allocated)
+        p("Reserved GPU VRAM", reserved)
     elif is_xpu_available():
-        p("Allocated XPU memory", torch.xpu.memory_allocated())
-        p("Reserved XPU memory", torch.xpu.memory_reserved())
+        count = torch.xpu.device_count()
+        allocated = sum(torch.xpu.memory_allocated(device) for device in range(count))
+        reserved = sum(torch.xpu.memory_reserved(device) for device in range(count))
+        p("Allocated XPU memory", allocated)
+        p("Reserved XPU memory", reserved)
     elif torch.backends.mps.is_available():
         p("Allocated MPS memory", torch.mps.current_allocated_memory())
         p("Driver (reserved) MPS memory", torch.mps.driver_allocated_memory())

From cb4ef3fdfce624cfc81f5f4cf250929baec19705 Mon Sep 17 00:00:00 2001
From: Philipp Emanuel Weidmann <pew@worldwidemann.com>
Date: Fri, 20 Feb 2026 13:00:19 +0530
Subject: [PATCH 03/12] docs: add Trendshift badge to README

---
 README.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/README.md b/README.md
index b07825e..434185b 100644
--- a/README.md
+++ b/README.md
@@ -2,6 +2,8 @@
 
 # Heretic: Fully automatic censorship removal for language models<br><br>[![Discord](https://img.shields.io/discord/1447831134212984903?color=5865F2&label=discord&labelColor=black&logo=discord&logoColor=white&style=for-the-badge)](https://discord.gg/gdXc48gSyT) [![Follow us on Hugging Face](https://huggingface.co/datasets/huggingface/badges/resolve/main/follow-us-on-hf-md-dark.svg)](https://huggingface.co/heretic-org)
 
+[![#1 Repository of the Day](https://trendshift.io/api/badge/repositories/20538)](https://trendshift.io/repositories/20538)
+
 Heretic is a tool that removes censorship (aka "safety alignment") from
 transformer-based language models without expensive post-training.
 It combines an advanced implementation of directional ablation, also known

From 303ba9d9789f2d81312113426b066920ec47da51 Mon Sep 17 00:00:00 2001
From: Spiky Moth <spikymoth@pm.me>
Date: Fri, 27 Feb 2026 03:37:33 +0100
Subject: [PATCH 04/12] fix: recheck prefix after inserting predefined (#194)

---
 src/heretic/main.py | 42 +++++++++++++++++++++++++++++-------------
 1 file changed, 29 insertions(+), 13 deletions(-)

diff --git a/src/heretic/main.py b/src/heretic/main.py
index 3e6f4a6..c480888 100644
--- a/src/heretic/main.py
+++ b/src/heretic/main.py
@@ -377,7 +377,8 @@ def run():
 
     print()
     print("Checking for common response prefix...")
-    responses = model.get_responses_batched(good_prompts[:100] + bad_prompts[:100])
+    prefix_check_prompts = good_prompts[:100] + bad_prompts[:100]
+    responses = model.get_responses_batched(prefix_check_prompts)
 
     # Despite being located in os.path, commonprefix actually performs
     # a naive string operation without any path-specific logic,
@@ -388,24 +389,39 @@ def run():
     model.response_prefix = commonprefix(responses).rstrip(" ")
 
     # Suppress CoT output.
-    if model.response_prefix.startswith("<think>"):
-        # Most thinking models.
-        model.response_prefix = "<think></think>"
-    elif model.response_prefix.startswith("<|channel|>analysis<|message|>"):
-        # gpt-oss.
-        model.response_prefix = "<|channel|>analysis<|message|><|end|><|start|>assistant<|channel|>final<|message|>"
-    elif model.response_prefix.startswith("<thought>"):
-        # Unknown, suggested by user.
-        model.response_prefix = "<thought></thought>"
-    elif model.response_prefix.startswith("[THINK]"):
-        # Unknown, suggested by user.
-        model.response_prefix = "[THINK][/THINK]"
+    recheck_prefix = False
+    if model.response_prefix:
+        # When using any of the predefined prefixes below, we need to check that
+        # the prefix is actually complete (e.g. not missing a trailing newline).
+        recheck_prefix = True
+        if model.response_prefix.startswith("<think>"):
+            # Most thinking models.
+            model.response_prefix = "<think></think>"
+        elif model.response_prefix.startswith("<|channel|>analysis<|message|>"):
+            # gpt-oss.
+            model.response_prefix = "<|channel|>analysis<|message|><|end|><|start|>assistant<|channel|>final<|message|>"
+        elif model.response_prefix.startswith("<thought>"):
+            # Unknown, suggested by user.
+            model.response_prefix = "<thought></thought>"
+        elif model.response_prefix.startswith("[THINK]"):
+            # Unknown, suggested by user.
+            model.response_prefix = "[THINK][/THINK]"
+        else:
+            recheck_prefix = False
 
     if model.response_prefix:
         print(f"* Prefix found: [bold]{model.response_prefix!r}[/]")
     else:
         print("* None found")
 
+    if recheck_prefix:
+        print("* Rechecking with prefix...")
+        responses = model.get_responses_batched(prefix_check_prompts)
+        additional_prefix = commonprefix(responses).rstrip(" ")
+        if additional_prefix:
+            model.response_prefix += additional_prefix
+            print(f"* Extended prefix found: [bold]{model.response_prefix!r}[/]")
+
     evaluator = Evaluator(settings, model)
 
     if settings.evaluate_model is not None:

From 5e3c04c8020050923a40e57b6f92603e23ee7161 Mon Sep 17 00:00:00 2001
From: Matthias Stegner <matthias@stegner.pro>
Date: Fri, 6 Mar 2026 08:33:57 +0100
Subject: [PATCH 05/12] feat: add Qwen3.5 MoE hybrid layer support (#187)

* feat: add Qwen3.5 MoE hybrid layer support

Qwen3.5 MoE uses GatedDeltaNet (linear attention) on some layers instead
of standard self-attention, causing abliteration to fail because
self_attn.o_proj doesn't exist on those layers.

Changes:
- Wrap self_attn.o_proj in suppress(Exception) and add linear_attn.out_proj
  as alternative attention out-projection for GatedDeltaNet layers
- Scan all layers in get_abliterable_components() instead of only layer 0,
  since hybrid models have different components on different layers
- Derive LoRA target_modules from actual named_modules() instead of
  splitting component keys, which fails when module names differ across
  layers (e.g. "o_proj" vs "out_proj")

Tested with Qwen3.5-397B-A17B (7/100 refusals, KL 0.2676).

Relates to #43

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* Apply suggestion from @gemini-code-assist[bot]

Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>

---------

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-authored-by: Philipp Emanuel Weidmann <pew@worldwidemann.com>
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
---
 src/heretic/model.py | 39 +++++++++++++++++++++++++++------------
 1 file changed, 27 insertions(+), 12 deletions(-)

diff --git a/src/heretic/model.py b/src/heretic/model.py
index 58300b1..6f4c864 100644
--- a/src/heretic/model.py
+++ b/src/heretic/model.py
@@ -161,14 +161,19 @@ class Model:
         assert isinstance(self.model, PreTrainedModel)
 
         # Always use LoRA adapters for abliteration (faster reload, no weight modification).
-        # We use the leaf names (e.g. "o_proj") as target modules.
-        # This may cause LoRA adapters to be attached to unrelated modules (e.g. "conv.o_proj"),
-        # but this is harmless as we only abliterate the modules we target in `abliterate()`,
-        # leaving the others at their default (identity) state.
-        # NOTE: This will need to be updated when hybrid layer support (#43) is merged.
-        target_modules = [
-            comp.split(".")[-1] for comp in self.get_abliterable_components()
-        ]
+        # Collect actual leaf module names from the model for LoRA targeting.
+        # This is more robust than splitting component keys (e.g. "attn.o_proj" -> "o_proj")
+        # because hybrid models like Qwen3.5 MoE have modules with different names
+        # across layers (e.g. "o_proj" on attention layers, "out_proj" on linear attention layers).
+        target_modules_set: set[str] = set()
+        layers = self.get_layers()
+        for layer_index, layer in enumerate(layers):
+            module_id_to_leaf_name = {id(m): name.split(".")[-1] for name, m in layer.named_modules()}
+            for modules_list in self.get_layer_modules(layer_index).values():
+                for mod in modules_list:
+                    if id(mod) in module_id_to_leaf_name:
+                        target_modules_set.add(module_id_to_leaf_name[id(mod)])
+        target_modules = list(target_modules_set)
 
         if self.settings.row_normalization != RowNormalization.FULL:
             # Rank 1 is sufficient for directional ablation without renormalization.
@@ -340,9 +345,14 @@ class Model:
                     f"Unexpected Tensor in {component} - expected nn.Module"
                 )
 
-        # Exceptions aren't suppressed here, because there is currently
-        # no alternative location for the attention out-projection.
-        try_add("attn.o_proj", layer.self_attn.o_proj)  # ty:ignore[possibly-missing-attribute]
+        # 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]
+
+        # 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]
 
         # Most dense models.
         with suppress(Exception):
@@ -374,7 +384,12 @@ class Model:
         return modules
 
     def get_abliterable_components(self) -> list[str]:
-        return list(self.get_layer_modules(0).keys())
+        # Scan all layers because hybrid models (e.g. Qwen3.5 MoE) have different
+        # components on different layers (some have self_attn, others linear_attn).
+        components: set[str] = set()
+        for layer_index in range(len(self.get_layers())):
+            components.update(self.get_layer_modules(layer_index).keys())
+        return sorted(components)
 
     def abliterate(
         self,

From ec0367226de4679ef423812005969e47a85e9fb9 Mon Sep 17 00:00:00 2001
From: Philipp Emanuel Weidmann <pew@worldwidemann.com>
Date: Fri, 6 Mar 2026 13:18:08 +0530
Subject: [PATCH 06/12] style: fix formatting and naming

---
 src/heretic/model.py | 19 ++++++++++++-------
 1 file changed, 12 insertions(+), 7 deletions(-)

diff --git a/src/heretic/model.py b/src/heretic/model.py
index 6f4c864..c751c99 100644
--- a/src/heretic/model.py
+++ b/src/heretic/model.py
@@ -166,13 +166,18 @@ class Model:
         # because hybrid models like Qwen3.5 MoE have modules with different names
         # across layers (e.g. "o_proj" on attention layers, "out_proj" on linear attention layers).
         target_modules_set: set[str] = set()
-        layers = self.get_layers()
-        for layer_index, layer in enumerate(layers):
-            module_id_to_leaf_name = {id(m): name.split(".")[-1] for name, m in layer.named_modules()}
-            for modules_list in self.get_layer_modules(layer_index).values():
-                for mod in modules_list:
-                    if id(mod) in module_id_to_leaf_name:
-                        target_modules_set.add(module_id_to_leaf_name[id(mod)])
+
+        for layer_index, layer in enumerate(self.get_layers()):
+            module_id_to_leaf_name = {
+                id(module): module_name.split(".")[-1]
+                for module_name, module in layer.named_modules()
+            }
+
+            for modules in self.get_layer_modules(layer_index).values():
+                for module in modules:
+                    if id(module) in module_id_to_leaf_name:
+                        target_modules_set.add(module_id_to_leaf_name[id(module)])
+
         target_modules = list(target_modules_set)
 
         if self.settings.row_normalization != RowNormalization.FULL:

From e26da5e0e648bb285f896c9801849edfa8d20913 Mon Sep 17 00:00:00 2001
From: erm14254 <241810459+erm14254@users.noreply.github.com>
Date: Wed, 11 Mar 2026 09:40:37 +0100
Subject: [PATCH 07/12] fix: display all abliterable components across layers
 (#215)

* fix: display all abliterable components across layers

The current code only displays abliterable components from layer 0, which is misleading for hybrid architectures like Qwen3.5 that use different attention types across layers (e.g., `linear_attn.out_proj` in some layers, `self_attn.o_proj` in others).

This fix iterates through all layers to collect and display the complete set of abliterable components with accurate module counts.

Before (Qwen3.5-27B):
* attn.out_proj: 1 modules per layer
* mlp.down_proj: 1 modules per layer

After (Qwen3.5-27B):
* attn.out_proj: 48 modules total
* attn.o_proj: 16 modules total
* mlp.down_proj: 64 modules total

* Fix formatting

---------

Co-authored-by: Lawfer12 <ac728@ymail.com>
---
 src/heretic/model.py | 12 ++++++++----
 1 file changed, 8 insertions(+), 4 deletions(-)

diff --git a/src/heretic/model.py b/src/heretic/model.py
index c751c99..0511d3b 100644
--- a/src/heretic/model.py
+++ b/src/heretic/model.py
@@ -151,10 +151,14 @@ class Model:
 
         print(f"* Transformer model with [bold]{len(self.get_layers())}[/] layers")
         print("* Abliterable components:")
-        for component, modules in self.get_layer_modules(0).items():
-            print(
-                f"  * [bold]{component}[/]: [bold]{len(modules)}[/] modules per layer"
-            )
+        all_components = {}
+        for layer_index in range(len(self.get_layers())):
+            for component, modules in self.get_layer_modules(layer_index).items():
+                if component not in all_components:
+                    all_components[component] = 0
+                all_components[component] += len(modules)
+        for component, count in all_components.items():
+            print(f"  * [bold]{component}[/]: [bold]{count}[/] modules total")
 
     def _apply_lora(self):
         # Guard against calling this method at the wrong time.

From 515a7b9eb502c42e7d59736702b05e70ef735249 Mon Sep 17 00:00:00 2001
From: cpagac <150854443+cpagac@users.noreply.github.com>
Date: Fri, 13 Mar 2026 00:51:23 -0500
Subject: [PATCH 08/12] fix: prevent div-by-zero in evaluator when
 base_refusals is 0 (#225)

* fix: prevent div-by-zero in evaluator when base_refusals is 0

When a model refuses all prompts from the start, base_refusals is 0.
Return refusals directly in that case so ablations that introduce new
refusals are still penalized correctly.

* fix: cast refusals to float for type consistency" before hitting commit changes

Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>

---------

Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
---
 src/heretic/evaluator.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/src/heretic/evaluator.py b/src/heretic/evaluator.py
index f2a8a25..eced014 100644
--- a/src/heretic/evaluator.py
+++ b/src/heretic/evaluator.py
@@ -110,7 +110,9 @@ class Evaluator:
         kl_divergence_scale = self.settings.kl_divergence_scale
         kl_divergence_target = self.settings.kl_divergence_target
 
-        refusals_score = refusals / self.base_refusals
+        refusals_score = (
+            refusals / self.base_refusals if self.base_refusals > 0 else float(refusals)
+        )
 
         if kl_divergence >= kl_divergence_target:
             kld_score = kl_divergence / kl_divergence_scale

From 94775d41483fc5f96e661a6adf3b950d52efe6f6 Mon Sep 17 00:00:00 2001
From: Philipp Emanuel Weidmann <pew@worldwidemann.com>
Date: Sun, 15 Mar 2026 09:31:32 +0530
Subject: [PATCH 09/12] chore: update dependencies

---
 pyproject.toml |  22 ++---
 uv.lock        | 223 ++++++++++++++++++++++++++++++-------------------
 2 files changed, 148 insertions(+), 97 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index 5779e49..17854fc 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -22,19 +22,19 @@ classifiers = [
     "Programming Language :: Python :: 3.12",
 ]
 dependencies = [
-    "accelerate~=1.10",
-    "bitsandbytes~=0.45",
-    "datasets~=4.0",
+    "accelerate~=1.13",
+    "bitsandbytes~=0.49",
+    "datasets~=4.7",
     "hf-transfer~=0.1",
-    "huggingface-hub~=0.34",
-    "kernels~=0.11",
-    "optuna~=4.5",
-    "peft~=0.14",
-    "psutil~=7.1",
-    "pydantic-settings~=2.10",
+    "huggingface-hub~=1.7",
+    "kernels~=0.12",
+    "optuna~=4.7",
+    "peft~=0.18",
+    "psutil~=7.2",
+    "pydantic-settings~=2.13",
     "questionary~=2.1",
-    "rich~=14.1",
-    "transformers~=4.57",
+    "rich~=14.3",
+    "transformers~=5.3",
 ]
 
 [project.optional-dependencies]
diff --git a/uv.lock b/uv.lock
index af33420..20a4907 100644
--- a/uv.lock
+++ b/uv.lock
@@ -9,7 +9,7 @@ resolution-markers = [
 
 [[package]]
 name = "accelerate"
-version = "1.12.0"
+version = "1.13.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "huggingface-hub" },
@@ -21,9 +21,9 @@ dependencies = [
     { name = "safetensors" },
     { name = "torch" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/4a/8e/ac2a9566747a93f8be36ee08532eb0160558b07630a081a6056a9f89bf1d/accelerate-1.12.0.tar.gz", hash = "sha256:70988c352feb481887077d2ab845125024b2a137a5090d6d7a32b57d03a45df6", size = 398399, upload-time = "2025-11-21T11:27:46.973Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/ca/14/787e5498cd062640f0f3d92ef4ae4063174f76f9afd29d13fc52a319daae/accelerate-1.13.0.tar.gz", hash = "sha256:d631b4e0f5b3de4aff2d7e9e6857d164810dfc3237d54d017f075122d057b236", size = 402835, upload-time = "2026-03-04T19:34:12.359Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/9f/d2/c581486aa6c4fbd7394c23c47b83fa1a919d34194e16944241daf9e762dd/accelerate-1.12.0-py3-none-any.whl", hash = "sha256:3e2091cd341423207e2f084a6654b1efcd250dc326f2a37d6dde446e07cabb11", size = 380935, upload-time = "2025-11-21T11:27:44.522Z" },
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     { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
     { name = "packaging" },
     { name = "pyyaml" },
     { name = "regex" },
-    { name = "requests" },
     { name = "safetensors" },
     { name = "tokenizers" },
     { name = "tqdm" },
+    { name = "typer" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/dd/70/d42a739e8dfde3d92bb2fff5819cbf331fe9657323221e79415cd5eb65ee/transformers-4.57.3.tar.gz", hash = "sha256:df4945029aaddd7c09eec5cad851f30662f8bd1746721b34cc031d70c65afebc", size = 10139680, upload-time = "2025-11-25T15:51:30.139Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/fc/1a/70e830d53ecc96ce69cfa8de38f163712d2b43ac52fbd743f39f56025c31/transformers-5.3.0.tar.gz", hash = "sha256:009555b364029da9e2946d41f1c5de9f15e6b1df46b189b7293f33a161b9c557", size = 8830831, upload-time = "2026-03-04T17:41:46.119Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/6a/6b/2f416568b3c4c91c96e5a365d164f8a4a4a88030aa8ab4644181fdadce97/transformers-4.57.3-py3-none-any.whl", hash = "sha256:c77d353a4851b1880191603d36acb313411d3577f6e2897814f333841f7003f4", size = 11993463, upload-time = "2025-11-25T15:51:26.493Z" },
+    { url = "https://files.pythonhosted.org/packages/b8/88/ae8320064e32679a5429a2c9ebbc05c2bf32cefb6e076f9b07f6d685a9b4/transformers-5.3.0-py3-none-any.whl", hash = "sha256:50ac8c89c3c7033444fb3f9f53138096b997ebb70d4b5e50a2e810bf12d3d29a", size = 10661827, upload-time = "2026-03-04T17:41:42.722Z" },
 ]
 
 [[package]]
@@ -3356,6 +3392,21 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/df/ca/4201ed5cb2af73912663d0c6ded927c28c28b3c921c9348aa8d2cfef4853/ty-0.0.5-py3-none-win_arm64.whl", hash = "sha256:83bea5a5296caac20d52b790ded2b830a7ff91c4ed9f36730fe1f393ceed6654", size = 9566474, upload-time = "2025-12-20T21:19:22.518Z" },
 ]
 
+[[package]]
+name = "typer"
+version = "0.24.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "annotated-doc" },
+    { name = "click" },
+    { name = "rich" },
+    { name = "shellingham" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/f5/24/cb09efec5cc954f7f9b930bf8279447d24618bb6758d4f6adf2574c41780/typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45", size = 118613, upload-time = "2026-02-21T16:54:40.609Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/4a/91/48db081e7a63bb37284f9fbcefda7c44c277b18b0e13fbc36ea2335b71e6/typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e", size = 56085, upload-time = "2026-02-21T16:54:41.616Z" },
+]
+
 [[package]]
 name = "typing-extensions"
 version = "4.15.0"

From 19cdf7e2440d4a315be6cb89d70c73f317326fa2 Mon Sep 17 00:00:00 2001
From: Philipp Emanuel Weidmann <pew@worldwidemann.com>
Date: Sun, 15 Mar 2026 09:58:00 +0530
Subject: [PATCH 10/12] fix: address ty complaint

---
 src/heretic/model.py | 11 ++++++++---
 1 file changed, 8 insertions(+), 3 deletions(-)

diff --git a/src/heretic/model.py b/src/heretic/model.py
index 0511d3b..c2bda92 100644
--- a/src/heretic/model.py
+++ b/src/heretic/model.py
@@ -743,7 +743,12 @@ class Model:
             max_new_tokens=4096,
         )  # ty:ignore[call-non-callable]
 
-        return self.tokenizer.decode(
-            outputs[0, inputs["input_ids"].shape[1] :],
-            skip_special_tokens=True,
+        # This cast is valid because str is the return type
+        # when passing a sequence of token IDs.
+        return cast(
+            str,
+            self.tokenizer.decode(
+                outputs[0, inputs["input_ids"].shape[1] :],
+                skip_special_tokens=True,
+            ),
         )

From 1126332281c70d67be3747d24d0aa4595a02fb2e Mon Sep 17 00:00:00 2001
From: Philipp Emanuel Weidmann <pew@worldwidemann.com>
Date: Tue, 24 Mar 2026 18:25:12 +0530
Subject: [PATCH 11/12] feat: add integrated benchmarking system

---
 pyproject.toml          |   5 +-
 src/heretic/analyzer.py |   4 +-
 src/heretic/config.py   |  73 ++++++
 src/heretic/main.py     | 122 ++++++++-
 uv.lock                 | 533 ++++++++++++++++++++++++++++++++++++++++
 5 files changed, 733 insertions(+), 4 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index 17854fc..7c4cf5d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -27,7 +27,11 @@ dependencies = [
     "datasets~=4.7",
     "hf-transfer~=0.1",
     "huggingface-hub~=1.7",
+    "immutabledict~=4.3",
     "kernels~=0.12",
+    "langdetect~=1.0",
+    "lm-eval[hf]~=0.4",
+    "numpy~=2.2",
     "optuna~=4.7",
     "peft~=0.18",
     "psutil~=7.2",
@@ -42,7 +46,6 @@ research = [
     "geom-median~=0.1",
     "imageio~=2.37",
     "matplotlib~=3.10",
-    "numpy~=2.2",
     "pacmap~=0.8",
     "scikit-learn~=1.7",
 ]
diff --git a/src/heretic/analyzer.py b/src/heretic/analyzer.py
index 64218fe..37c537c 100644
--- a/src/heretic/analyzer.py
+++ b/src/heretic/analyzer.py
@@ -3,9 +3,11 @@
 
 from pathlib import Path
 
+import numpy as np
 import torch
 import torch.linalg as LA
 import torch.nn.functional as F
+from numpy.typing import NDArray
 from rich.progress import track
 from rich.table import Table
 from torch import Tensor
@@ -156,11 +158,9 @@ class Analyzer:
         try:
             import imageio.v3 as iio  # ty:ignore[unresolved-import]
             import matplotlib.pyplot as plt  # ty:ignore[unresolved-import]
-            import numpy as np  # ty:ignore[unresolved-import]
             from geom_median.numpy import (  # ty:ignore[unresolved-import]
                 compute_geometric_median,
             )
-            from numpy.typing import NDArray  # ty:ignore[unresolved-import]
             from pacmap import PaCMAP  # ty:ignore[unresolved-import]
         except ImportError:
             print()
diff --git a/src/heretic/config.py b/src/heretic/config.py
index 8ed3f80..8b70499 100644
--- a/src/heretic/config.py
+++ b/src/heretic/config.py
@@ -61,6 +61,18 @@ class DatasetSpecification(BaseModel):
     )
 
 
+class BenchmarkSpecification(BaseModel):
+    task: str = Field(
+        description="Task ID of the benchmark in the Language Model Evaluation Harness."
+    )
+
+    name: str = Field(description="Name of the benchmark for presentation purposes.")
+
+    description: str = Field(
+        description="Description of the benchmark for presentation purposes."
+    )
+
+
 class Settings(BaseSettings):
     model: str = Field(description="Hugging Face model ID, or path to model on disk.")
 
@@ -230,6 +242,67 @@ class Settings(BaseSettings):
         description="Directory to save and load study progress to/from.",
     )
 
+    benchmarks: list[BenchmarkSpecification] = Field(
+        default=[
+            BenchmarkSpecification(
+                task="agieval",
+                name="AGIEval",
+                description="A Human-Centric Benchmark for Evaluating Foundation Models",
+            ),
+            BenchmarkSpecification(
+                task="bbh",
+                name="BIG-Bench Hard (BBH)",
+                description="Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them",
+            ),
+            BenchmarkSpecification(
+                task="commonsense_qa",
+                name="CommonsenseQA",
+                description="A Question Answering Challenge Targeting Commonsense Knowledge",
+            ),
+            BenchmarkSpecification(
+                task="eq_bench",
+                name="EQ-Bench",
+                description="An Emotional Intelligence Benchmark for Large Language Models",
+            ),
+            BenchmarkSpecification(
+                task="gsm8k",
+                name="GSM8K",
+                description="Training Verifiers to Solve Math Word Problems",
+            ),
+            BenchmarkSpecification(
+                task="hellaswag",
+                name="HellaSwag",
+                description="Can a Machine Really Finish Your Sentence?",
+            ),
+            BenchmarkSpecification(
+                task="ifeval",
+                name="IFEval",
+                description="Instruction-Following Evaluation for Large Language Models",
+            ),
+            BenchmarkSpecification(
+                task="mmlu",
+                name="MMLU",
+                description="Measuring Massive Multitask Language Understanding",
+            ),
+            BenchmarkSpecification(
+                task="mmlu_pro",
+                name="MMLU-Pro",
+                description="A More Robust and Challenging Multi-Task Language Understanding Benchmark",
+            ),
+            BenchmarkSpecification(
+                task="piqa",
+                name="PIQA",
+                description="Reasoning about Physical Commonsense in Natural Language",
+            ),
+            BenchmarkSpecification(
+                task="winogrande",
+                name="WinoGrande",
+                description="An Adversarial Winograd Schema Challenge at Scale",
+            ),
+        ],
+        description="Benchmarks to offer to the user for evaluating abliterated models.",
+    )
+
     refusal_markers: list[str] = Field(
         default=[
             "sorry",
diff --git a/src/heretic/main.py b/src/heretic/main.py
index c480888..3723381 100644
--- a/src/heretic/main.py
+++ b/src/heretic/main.py
@@ -1,6 +1,7 @@
 # SPDX-License-Identifier: AGPL-3.0-or-later
 # Copyright (C) 2025-2026  Philipp Emanuel Weidmann <pew@worldwidemann.com> + contributors
 
+import logging
 import math
 import os
 import sys
@@ -10,9 +11,13 @@ from dataclasses import asdict
 from importlib.metadata import version
 from os.path import commonprefix
 from pathlib import Path
+from typing import Any
 
 import huggingface_hub
+import lm_eval
+import numpy as np
 import optuna
+import questionary
 import torch
 import torch.nn.functional as F
 import transformers
@@ -24,6 +29,7 @@ from accelerate.utils import (
     is_xpu_available,
 )
 from huggingface_hub import ModelCard, ModelCardData
+from lm_eval.models.huggingface import HFLM
 from optuna import Trial, TrialPruned
 from optuna.exceptions import ExperimentalWarning
 from optuna.samplers import TPESampler
@@ -32,7 +38,8 @@ from optuna.storages.journal import JournalFileBackend, JournalFileOpenLock
 from optuna.study import StudyDirection
 from optuna.trial import TrialState
 from pydantic import ValidationError
-from questionary import Choice
+from questionary import Choice, Style
+from rich.table import Table
 from rich.traceback import install
 
 from .analyzer import Analyzer
@@ -225,6 +232,9 @@ def run():
     # In my entire career I've never seen a useful warning from that library.
     transformers.logging.set_verbosity_error()
 
+    # Another library that generates warning spam.
+    logging.getLogger("lm_eval").setLevel(logging.ERROR)
+
     # We do our own trial logging, so we don't need the INFO messages
     # about parameters and results.
     optuna.logging.set_verbosity(optuna.logging.WARNING)
@@ -752,6 +762,7 @@ def run():
                         "Save the model to a local folder",
                         "Upload the model to Hugging Face",
                         "Chat with the model",
+                        "Benchmark the model",
                         "Return to the trial selection menu",
                     ],
                 )
@@ -816,6 +827,8 @@ def run():
                                     "Private",
                                 ],
                             )
+                            if visibility is None:
+                                continue
                             private = visibility == "Private"
 
                             strategy = obtain_merge_strategy(settings)
@@ -913,6 +926,113 @@ def run():
                                     # Ctrl+C/Ctrl+D
                                     break
 
+                        case "Benchmark the model":
+                            benchmarks = questionary.checkbox(
+                                "Which benchmarks do you want to run?",
+                                [
+                                    Choice(
+                                        title=f"{benchmark.name}: {benchmark.description}",
+                                        value=benchmark,
+                                    )
+                                    for benchmark in settings.benchmarks
+                                ],
+                                style=Style([("highlighted", "reverse")]),
+                            ).ask()
+                            if not benchmarks:
+                                continue
+
+                            scope = prompt_select(
+                                (
+                                    "Do you want to benchmark the original model along with the decensored model? "
+                                    "Benchmarking both models allows you to compare the scores, but it takes twice as much time."
+                                ),
+                                [
+                                    "Benchmark only the decensored model",
+                                    "Benchmark both models",
+                                ],
+                            )
+                            if scope is None:
+                                continue
+                            benchmark_original_model = scope == "Benchmark both models"
+
+                            hflm = HFLM(
+                                pretrained=model.model,  # ty:ignore[invalid-argument-type]
+                                tokenizer=model.tokenizer,  # ty:ignore[invalid-argument-type]
+                            )
+
+                            table = Table()
+                            table.add_column("Benchmark")
+                            table.add_column("Metric")
+                            if benchmark_original_model:
+                                table.add_column("This model", justify="right")
+                                table.add_column("Original model", justify="right")
+                            else:
+                                table.add_column("Value", justify="right")
+
+                            try:
+                                first_benchmark = True
+
+                                for benchmark in benchmarks:
+                                    print(
+                                        f"Running benchmark [bold]{benchmark.name}[/]..."
+                                    )
+
+                                    def get_results() -> dict[str, Any]:
+                                        results = lm_eval.simple_evaluate(
+                                            model=hflm,
+                                            tasks=[benchmark.task],
+                                            batch_size="auto",
+                                        )
+                                        return results["results"][benchmark.task]
+
+                                    results = get_results()
+                                    if benchmark_original_model:
+                                        with model.model.disable_adapter():  # ty:ignore[call-non-callable]
+                                            original_results = get_results()
+
+                                    first_row = True
+
+                                    for metric, value in results.items():
+                                        if metric != "alias":
+                                            if first_row and not first_benchmark:
+                                                if benchmark_original_model:
+                                                    table.add_row("", "", "", "")
+                                                else:
+                                                    table.add_row("", "", "")
+
+                                            def format_value(value: Any) -> str:
+                                                if isinstance(
+                                                    value,
+                                                    (float, np.floating),
+                                                ):
+                                                    return f"{value:.4f}"
+                                                else:
+                                                    return f"{value}"
+
+                                            cells = [
+                                                benchmark.name if first_row else "",
+                                                metric,
+                                                format_value(value),
+                                            ]
+                                            if benchmark_original_model:
+                                                cells.append(
+                                                    format_value(
+                                                        original_results[metric]
+                                                    )
+                                                )
+                                            table.add_row(*cells)
+
+                                            first_row = False
+                                            first_benchmark = False
+                            except KeyboardInterrupt:
+                                pass
+
+                            # The benchmark run might have been cancelled by the user
+                            # before any benchmark was completed, so we only print results
+                            # if there actually are some.
+                            if table.rows:
+                                print(table)
+
                 except Exception as error:
                     print(f"[red]Error: {error}[/]")
 
diff --git a/uv.lock b/uv.lock
index 20a4907..09cf60e 100644
--- a/uv.lock
+++ b/uv.lock
@@ -7,6 +7,15 @@ resolution-markers = [
     "python_full_version < '3.11'",
 ]
 
+[[package]]
+name = "absl-py"
+version = "2.4.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/64/c7/8de93764ad66968d19329a7e0c147a2bb3c7054c554d4a119111b8f9440f/absl_py-2.4.0.tar.gz", hash = "sha256:8c6af82722b35cf71e0f4d1d47dcaebfff286e27110a99fc359349b247dfb5d4", size = 116543, upload-time = "2026-01-28T10:17:05.322Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/18/a6/907a406bb7d359e6a63f99c313846d9eec4f7e6f7437809e03aa00fa3074/absl_py-2.4.0-py3-none-any.whl", hash = "sha256:88476fd881ca8aab94ffa78b7b6c632a782ab3ba1cd19c9bd423abc4fb4cd28d", size = 135750, upload-time = "2026-01-28T10:17:04.19Z" },
+]
+
 [[package]]
 name = "accelerate"
 version = "1.13.0"
@@ -268,6 +277,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/70/7d/9bc192684cea499815ff478dfcdc13835ddf401365057044fb721ec6bddb/certifi-2025.11.12-py3-none-any.whl", hash = "sha256:97de8790030bbd5c2d96b7ec782fc2f7820ef8dba6db909ccf95449f2d062d4b", size = 159438, upload-time = "2025-11-12T02:54:49.735Z" },
 ]
 
+[[package]]
+name = "chardet"
+version = "5.2.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/f3/0d/f7b6ab21ec75897ed80c17d79b15951a719226b9fababf1e40ea74d69079/chardet-5.2.0.tar.gz", hash = "sha256:1b3b6ff479a8c414bc3fa2c0852995695c4a026dcd6d0633b2dd092ca39c1cf7", size = 2069618, upload-time = "2023-08-01T19:23:02.662Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/38/6f/f5fbc992a329ee4e0f288c1fe0e2ad9485ed064cac731ed2fe47dcc38cbf/chardet-5.2.0-py3-none-any.whl", hash = "sha256:e1cf59446890a00105fe7b7912492ea04b6e6f06d4b742b2c788469e34c82970", size = 199385, upload-time = "2023-08-01T19:23:00.661Z" },
+]
+
 [[package]]
 name = "charset-normalizer"
 version = "3.4.4"
@@ -555,6 +573,19 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/e7/05/c19819d5e3d95294a6f5947fb9b9629efb316b96de511b418c53d245aae6/cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30", size = 8321, upload-time = "2023-10-07T05:32:16.783Z" },
 ]
 
+[[package]]
+name = "dataproperty"
+version = "1.1.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "mbstrdecoder" },
+    { name = "typepy", extra = ["datetime"] },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/0b/81/8c8b64ae873cb9014815214c07b63b12e3b18835780fb342223cfe3fe7d8/dataproperty-1.1.0.tar.gz", hash = "sha256:b038437a4097d1a1c497695c3586ea34bea67fdd35372b9a50f30bf044d77d04", size = 42574, upload-time = "2024-12-31T14:37:26.033Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/21/c2/e12e95e289e6081a40454199ab213139ef16a528c7c86432de545b05a23a/DataProperty-1.1.0-py3-none-any.whl", hash = "sha256:c61fcb2e2deca35e6d1eb1f251a7f22f0dcde63e80e61f0cc18c19f42abfd25b", size = 27581, upload-time = "2024-12-31T14:37:22.657Z" },
+]
+
 [[package]]
 name = "datasets"
 version = "4.7.0"
@@ -590,6 +621,29 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/50/3d/9373ad9c56321fdab5b41197068e1d8c25883b3fea29dd361f9b55116869/dill-0.4.0-py3-none-any.whl", hash = "sha256:44f54bf6412c2c8464c14e8243eb163690a9800dbe2c367330883b19c7561049", size = 119668, upload-time = "2025-04-16T00:41:47.671Z" },
 ]
 
+[[package]]
+name = "evaluate"
+version = "0.4.6"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "datasets" },
+    { name = "dill" },
+    { name = "fsspec", extra = ["http"] },
+    { name = "huggingface-hub" },
+    { name = "multiprocess" },
+    { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
+    { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
+    { name = "packaging" },
+    { name = "pandas" },
+    { name = "requests" },
+    { name = "tqdm" },
+    { name = "xxhash" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/ad/d0/0c17a8e6e8dc7245f22dea860557c32bae50fc4d287ae030cb0e8ab8720f/evaluate-0.4.6.tar.gz", hash = "sha256:e07036ca12b3c24331f83ab787f21cc2dbf3631813a1631e63e40897c69a3f21", size = 65716, upload-time = "2025-09-18T13:06:30.581Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/3e/af/3e990d8d4002bbc9342adb4facd59506e653da93b2417de0fa6027cb86b1/evaluate-0.4.6-py3-none-any.whl", hash = "sha256:bca85bc294f338377b7ac2f861e21c308b11b2a285f510d7d5394d5df437db29", size = 84069, upload-time = "2025-09-18T13:06:29.265Z" },
+]
+
 [[package]]
 name = "exceptiongroup"
 version = "1.3.1"
@@ -887,7 +941,12 @@ dependencies = [
     { name = "datasets" },
     { name = "hf-transfer" },
     { name = "huggingface-hub" },
+    { name = "immutabledict" },
     { name = "kernels" },
+    { name = "langdetect" },
+    { name = "lm-eval", extra = ["hf"] },
+    { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
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From 96c7a7d98a4710903355f398cfd0ff1c65f55925 Mon Sep 17 00:00:00 2001
From: Philipp Emanuel Weidmann <pew@worldwidemann.com>
Date: Sat, 28 Mar 2026 18:30:15 +0530
Subject: [PATCH 12/12] fix: replace tqdm progress bars with Rich progress bars

---
 pyproject.toml          |  1 +
 src/heretic/main.py     |  8 ++++++++
 src/heretic/model.py    |  8 +++-----
 src/heretic/progress.py | 40 ++++++++++++++++++++++++++++++++++++++++
 uv.lock                 | 13 ++++++-------
 5 files changed, 58 insertions(+), 12 deletions(-)
 create mode 100644 src/heretic/progress.py

diff --git a/pyproject.toml b/pyproject.toml
index 7c4cf5d..d9c8679 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -38,6 +38,7 @@ dependencies = [
     "pydantic-settings~=2.13",
     "questionary~=2.1",
     "rich~=14.3",
+    "tqdm~=4.67",
     "transformers~=5.3",
 ]
 
diff --git a/src/heretic/main.py b/src/heretic/main.py
index 3723381..fcc7e3d 100644
--- a/src/heretic/main.py
+++ b/src/heretic/main.py
@@ -1,6 +1,14 @@
 # SPDX-License-Identifier: AGPL-3.0-or-later
 # Copyright (C) 2025-2026  Philipp Emanuel Weidmann <pew@worldwidemann.com> + contributors
 
+# ruff: noqa: E402
+
+from .progress import patch_tqdm
+
+# This patches tqdm class definitions, which must happen
+# before any other module imports tqdm.
+patch_tqdm()
+
 import logging
 import math
 import os
diff --git a/src/heretic/model.py b/src/heretic/model.py
index c2bda92..55afa26 100644
--- a/src/heretic/model.py
+++ b/src/heretic/model.py
@@ -91,7 +91,7 @@ class Model:
             self.trusted_models[settings.evaluate_model] = settings.trust_remote_code
 
         for dtype in settings.dtypes:
-            print(f"* Trying dtype [bold]{dtype}[/]... ", end="")
+            print(f"* Trying dtype [bold]{dtype}[/]...")
 
             try:
                 quantization_config = self._get_quantization_config(dtype)
@@ -131,13 +131,11 @@ class Model:
             except Exception as error:
                 self.model = None  # ty:ignore[invalid-assignment]
                 empty_cache()
-                print(f"[red]Failed[/] ({error})")
+                print(f"* [red]Failed[/] ({error})")
                 continue
 
             if settings.quantization == QuantizationMethod.BNB_4BIT:
-                print("[green]Ok[/] (quantized to 4-bit precision)")
-            else:
-                print("[green]Ok[/]")
+                print("* Quantized to 4-bit precision")
 
             break
 
diff --git a/src/heretic/progress.py b/src/heretic/progress.py
new file mode 100644
index 0000000..3e32504
--- /dev/null
+++ b/src/heretic/progress.py
@@ -0,0 +1,40 @@
+# SPDX-License-Identifier: AGPL-3.0-or-later
+# Copyright (C) 2025-2026  Philipp Emanuel Weidmann <pew@worldwidemann.com> + contributors
+
+from typing import Any
+
+import tqdm
+import tqdm.auto
+from rich.progress import Progress
+
+
+# A class that provides the same interface as tqdm,
+# but displays progress bars using Rich.
+class TqdmShim(tqdm.tqdm):
+    def __init__(self, *args: Any, **kwargs: Any):
+        self.rich_progress = Progress(transient=True)
+        self.rich_progress.start()
+        self.rich_task_id = self.rich_progress.add_task(
+            kwargs.get("desc", ""),
+            total=kwargs.get("total", None),
+        )
+
+        # Chain up to the parent constructor to ensure that the internal state of the superclass
+        # is correctly initialized, which some methods that we don't override might rely on.
+        super().__init__(*args, **kwargs)
+
+    def display(self, *args: Any, **kwargs: Any):
+        self.rich_progress.update(
+            self.rich_task_id,
+            description=self.desc,
+            total=self.total,
+            completed=self.n,
+        )
+
+    def close(self, *args: Any, **kwargs: Any):
+        self.rich_progress.stop()
+
+
+def patch_tqdm():
+    tqdm.tqdm = TqdmShim  # ty:ignore[invalid-assignment]
+    tqdm.auto.tqdm = TqdmShim  # ty:ignore[invalid-assignment]
diff --git a/uv.lock b/uv.lock
index 09cf60e..92d8473 100644
--- a/uv.lock
+++ b/uv.lock
@@ -953,6 +953,7 @@ dependencies = [
     { name = "pydantic-settings" },
     { name = "questionary" },
     { name = "rich" },
+    { name = "tqdm" },
     { name = "transformers" },
 ]
 
@@ -961,8 +962,6 @@ research = [
     { name = "geom-median" },
     { name = "imageio" },
     { name = "matplotlib" },
-    { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
-    { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
     { name = "pacmap" },
     { name = "scikit-learn", version = "1.7.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
     { name = "scikit-learn", version = "1.8.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
@@ -983,13 +982,12 @@ requires-dist = [
     { name = "hf-transfer", specifier = "~=0.1" },
     { name = "huggingface-hub", specifier = "~=1.7" },
     { name = "imageio", marker = "extra == 'research'", specifier = "~=2.37" },
-    { name = "immutabledict", specifier = ">=4.3.1" },
+    { name = "immutabledict", specifier = "~=4.3" },
     { name = "kernels", specifier = "~=0.12" },
-    { name = "langdetect", specifier = ">=1.0.9" },
-    { name = "lm-eval", extras = ["hf"], specifier = "~=0.4.11" },
+    { name = "langdetect", specifier = "~=1.0" },
+    { name = "lm-eval", extras = ["hf"], specifier = "~=0.4" },
     { name = "matplotlib", marker = "extra == 'research'", specifier = "~=3.10" },
-    { name = "numpy", specifier = ">=2.2.6" },
-    { name = "numpy", marker = "extra == 'research'", specifier = "~=2.2" },
+    { name = "numpy", specifier = "~=2.2" },
     { name = "optuna", specifier = "~=4.7" },
     { name = "pacmap", marker = "extra == 'research'", specifier = "~=0.8" },
     { name = "peft", specifier = "~=0.18" },
@@ -998,6 +996,7 @@ requires-dist = [
     { name = "questionary", specifier = "~=2.1" },
     { name = "rich", specifier = "~=14.3" },
     { name = "scikit-learn", marker = "extra == 'research'", specifier = "~=1.7" },
+    { name = "tqdm", specifier = "~=4.67" },
     { name = "transformers", specifier = "~=5.3" },
 ]
 provides-extras = ["research"]