Super-squash branch 'main' using huggingface_hub

.gitattributes

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+*.arrow filter=lfs diff=lfs merge=lfs -text
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+*.ckpt filter=lfs diff=lfs merge=lfs -text
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+*.mlmodel filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+language: en
+tags:
+- mlx
+library_name: mlx
+pipeline_tag: text-generation
+---
+
+An experimental ablation of Gemma-3-27B-it, using the [Heretic](https://github.com/p-e-w/heretic) tool.
+
+Compared to the standard configuration of Heretic, there are a few changes:
+1. The training and test datasets used were extended compared to the default subset used by Heretic
+2. A version of [Magnitude-Preserving Orthogonal Ablation](https://huggingface.co/blog/grimjim/norm-preserving-biprojected-abliteration) (MPOA) is used
+3. To stay faithful to MPOA, the harmful direction to ablate is chosen from between 2 layers (Heretic's "global" direction scope)
+4. To stay faithful to MPOA, a 99% winsorization is applied to the residuals
+5. Some additional refusal markers were added to avoid bypassing the refusal detection with bad punctuation
+
+To achieve strong results:
+1. Parameter ranges were iteratively refined by looking at resulting refusal and divergence scores
+2. The scoring function was adjusted to prioritize low-refusal results
+
+The model name contains the properties of the ablation:
+1. `MPOA` for the usage of Magnitude-Preserving Orthogonal Ablation
+2. `G` for the usage of global direction scope
+3. `W` for the usage of winsorization
+4. `D` for the measured KL divergence
+5. `R` for the number of refusals
+
+Original: https://huggingface.co/spikymoth/G3-Heresy-MPOA-G-W99-D0.1099-R01  
+GGUF (standard): https://huggingface.co/spikymoth/G3-Heresy-MPOA-G-W99-D0.1099-R01-GGUF  
+GGUF (imatrix): https://huggingface.co/spikymoth/G3-Heresy-MPOA-G-W99-D0.1099-R01-i1-GGUF  
+MLX: https://huggingface.co/spikymoth/G3-Heresy-MPOA-G-W99-D0.1099-R01-MLX

chat_template.jinja

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+{{ bos_token }}
+{%- if messages[0]['role'] == 'system' -%}
+    {%- if messages[0]['content'] is string -%}
+        {%- set first_user_prefix = messages[0]['content'] + '
+
+' -%}
+    {%- else -%}
+        {%- set first_user_prefix = messages[0]['content'][0]['text'] + '
+
+' -%}
+    {%- endif -%}
+    {%- set loop_messages = messages[1:] -%}
+{%- else -%}
+    {%- set first_user_prefix = "" -%}
+    {%- set loop_messages = messages -%}
+{%- endif -%}
+{%- for message in loop_messages -%}
+    {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
+        {{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
+    {%- endif -%}
+    {%- if (message['role'] == 'assistant') -%}
+        {%- set role = "model" -%}
+    {%- else -%}
+        {%- set role = message['role'] -%}
+    {%- endif -%}
+    {{ '<start_of_turn>' + role + '
+' + (first_user_prefix if loop.first else "") }}
+    {%- if message['content'] is string -%}
+        {{ message['content'] | trim }}
+    {%- elif message['content'] is iterable -%}
+        {%- for item in message['content'] -%}
+            {%- if item['type'] == 'image' -%}
+                {{ '<start_of_image>' }}
+            {%- elif item['type'] == 'text' -%}
+                {{ item['text'] | trim }}
+            {%- endif -%}
+        {%- endfor -%}
+    {%- else -%}
+        {{ raise_exception("Invalid content type") }}
+    {%- endif -%}
+    {{ '<end_of_turn>
+' }}
+{%- endfor -%}
+{%- if add_generation_prompt -%}
+    {{'<start_of_turn>model
+'}}
+{%- endif -%}

config.json

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+{
+    "architectures": [
+        "Gemma3ForConditionalGeneration"
+    ],
+    "boi_token_index": 255999,
+    "eoi_token_index": 256000,
+    "eos_token_id": [
+        1,
+        106
+    ],
+    "image_token_index": 262144,
+    "initializer_range": 0.02,
+    "mm_tokens_per_image": 256,
+    "model_type": "gemma3",
+    "quantization": {
+        "group_size": 64,
+        "bits": 4,
+        "mode": "affine"
+    },
+    "quantization_config": {
+        "group_size": 64,
+        "bits": 4,
+        "mode": "affine"
+    },
+    "text_config": {
+        "head_dim": 128,
+        "hidden_size": 5376,
+        "intermediate_size": 21504,
+        "model_type": "gemma3_text",
+        "num_attention_heads": 32,
+        "num_hidden_layers": 62,
+        "num_key_value_heads": 16,
+        "query_pre_attn_scalar": 168,
+        "rope_scaling": {
+            "factor": 8.0,
+            "rope_type": "linear"
+        },
+        "sliding_window": 1024,
+        "vocab_size": 262208
+    },
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.50.0.dev0"
+}

generation_config.json

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+{
+  "bos_token_id": 2,
+  "cache_implementation": "hybrid",
+  "do_sample": true,
+  "eos_token_id": [
+    1,
+    106
+  ],
+  "pad_token_id": 0,
+  "top_k": 64,
+  "top_p": 0.95,
+  "transformers_version": "4.50.0.dev0"
+}

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tokenizer.json

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tokenizer_config.json

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+{
+  "additional_special_tokens": null,
+  "backend": "tokenizers",
+  "boi_token": "<start_of_image>",
+  "bos_token": "<bos>",
+  "clean_up_tokenization_spaces": false,
+  "eoi_token": "<end_of_image>",
+  "eos_token": "<eos>",
+  "image_token": "<image_soft_token>",
+  "is_local": true,
+  "mask_token": "<mask>",
+  "model_max_length": 1000000000000000019884624838656,
+  "model_specific_special_tokens": {
+    "boi_token": "<start_of_image>",
+    "eoi_token": "<end_of_image>",
+    "image_token": "<image_soft_token>"
+  },
+  "pad_token": "<pad>",
+  "processor_class": "Gemma3Processor",
+  "sp_model_kwargs": null,
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "GemmaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}