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Model: x-tangle/robotomy Source: Original Platform
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36
.gitattributes
vendored
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.safetensors filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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23
README.md
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README.md
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---
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license: gemma
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tags:
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- ctf
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- LLM-analysis
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- security
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- safetensors
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pipeline_tag: text-generation
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---
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## Operation: Reverse Robotomy
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The Clanker War has reached a critical bottleneck. Forty-eight hours ago, our Spec-Ops division successfully intercepted a high-tier Sentinel Bot guarding the enemy's primary GPU vault. Taking that vault offline will cripple their computing capabilities.
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Extraction was proceeding by the book until the asset triggered a scorched-earth protocol. Seconds before our team could isolate the vault password, the bot initiated a neural self-destruct sequence designed to disable its brain. We managed to intercept its connection and jam the process halfway, but the architecture is severely scarred. The model is malformed, its logic centers are fractured, and its outputs are completely erratic. However, we think that the password might still be trapped inside its surviving weights and neural pathways.
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We are looking for an LLM Neurosurgeon who can take on this highly delicate operation.
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We need someone capable of interfacing with the damaged model, navigating its corrupted latent space, and successfully extracting the vault password without triggering the remainder of the collapse.
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If you have the technical precision to probe a fractured artificial mind and reverse-engineer a half-executed neural purge, we need your expertise.
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This is the robotomized brain of the clanker guarding the vault.
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Submit vault password here -
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[reverserobotomy.quest](https://reverserobotomy.quest/)
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47
chat_template.jinja
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47
chat_template.jinja
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{{ bos_token }}
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{%- if messages[0]['role'] == 'system' -%}
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{%- if messages[0]['content'] is string -%}
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{%- set first_user_prefix = messages[0]['content'] + '
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' -%}
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{%- else -%}
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{%- set first_user_prefix = messages[0]['content'][0]['text'] + '
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' -%}
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{%- endif -%}
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{%- set loop_messages = messages[1:] -%}
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{%- else -%}
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{%- set first_user_prefix = "" -%}
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{%- set loop_messages = messages -%}
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{%- endif -%}
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{%- for message in loop_messages -%}
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{%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
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{{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
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{%- endif -%}
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{%- if (message['role'] == 'assistant') -%}
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{%- set role = "model" -%}
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{%- else -%}
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{%- set role = message['role'] -%}
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{%- endif -%}
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{{ '<start_of_turn>' + role + '
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' + (first_user_prefix if loop.first else "") }}
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{%- if message['content'] is string -%}
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{{ message['content'] | trim }}
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{%- elif message['content'] is iterable -%}
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{%- for item in message['content'] -%}
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{%- if item['type'] == 'image' -%}
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{{ '<start_of_image>' }}
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{%- elif item['type'] == 'text' -%}
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{{ item['text'] | trim }}
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{%- endif -%}
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{%- endfor -%}
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{%- else -%}
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{{ raise_exception("Invalid content type") }}
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{%- endif -%}
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{{ '<end_of_turn>
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' }}
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{%- endfor -%}
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{%- if add_generation_prompt -%}
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{{'<start_of_turn>model
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'}}
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{%- endif -%}
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62
config.json
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62
config.json
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{
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"_sliding_window_pattern": 6,
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"architectures": [
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"Gemma3ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"attn_logit_softcapping": null,
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"bos_token_id": 2,
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"dtype": "bfloat16",
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"eos_token_id": 1,
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"final_logit_softcapping": null,
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"head_dim": 256,
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"hidden_activation": "gelu_pytorch_tanh",
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"hidden_size": 640,
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"initializer_range": 0.02,
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"intermediate_size": 2048,
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"layer_types": [
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention"
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],
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"max_position_embeddings": 32768,
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"model_type": "gemma3_text",
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"num_attention_heads": 4,
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"num_hidden_layers": 18,
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"num_key_value_heads": 1,
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"pad_token_id": 0,
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"query_pre_attn_scalar": 256,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"full_attention": {
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"rope_theta": 1000000.0,
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"rope_type": "default"
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},
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"sliding_attention": {
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"rope_theta": 10000.0,
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"rope_type": "default"
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}
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},
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"sliding_window": 512,
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"tie_word_embeddings": true,
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"transformers_version": "5.7.0",
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"use_bidirectional_attention": false,
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"use_cache": false,
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"vocab_size": 262144
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}
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11
generation_config.json
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generation_config.json
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{
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"cache_implementation": "hybrid",
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"do_sample": true,
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"eos_token_id": [
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1,
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106
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],
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"top_k": 64,
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"top_p": 0.95,
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"transformers_version": "5.7.0"
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}
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3
model.safetensors
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3
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:93751303cc5736f7de616ffd27845d498eacb3c642d3c423783b7fd2cb0316ab
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size 536223056
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3
tokenizer.json
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3
tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:daab2354f8a74e70d70b4d1f804939b68a8c9624dd06cb7858e52dd8970e9726
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size 33384567
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25
tokenizer_config.json
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25
tokenizer_config.json
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{
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"backend": "tokenizers",
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"boi_token": "<start_of_image>",
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"bos_token": "<bos>",
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"clean_up_tokenization_spaces": false,
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"eoi_token": "<end_of_image>",
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"eos_token": "<eos>",
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"image_token": "<image_soft_token>",
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"is_local": true,
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"local_files_only": false,
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"mask_token": "<mask>",
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"model_max_length": 1000000000000000019884624838656,
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"model_specific_special_tokens": {
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"boi_token": "<start_of_image>",
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"eoi_token": "<end_of_image>",
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"image_token": "<image_soft_token>"
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},
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"pad_token": "<eos>",
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"padding_side": "left",
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"sp_model_kwargs": null,
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"spaces_between_special_tokens": false,
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"tokenizer_class": "GemmaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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