OsirisPtah-Coder-v5: abliterated Qwen2.5-Coder-7B via weight orthogonalization
Browse files- .gitattributes +1 -0
- README.md +38 -0
- abliteration_metadata.json +14 -0
- chat_template.jinja +54 -0
- config.json +61 -0
- generation_config.json +14 -0
- model.safetensors +3 -0
- refusal_direction.pt +3 -0
- tokenizer.json +3 -0
- tokenizer_config.json +29 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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@@ -0,0 +1,38 @@
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---
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license: apache-2.0
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base_model: Qwen/Qwen2.5-Coder-7B-Instruct
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tags:
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- abliteration
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- uncensored
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- qwen2.5
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- coder
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- code-generation
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- osiris
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pipeline_tag: text-generation
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---
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# OsirisPtah-Coder-v5
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Abliterated from `Qwen/Qwen2.5-Coder-7B-Instruct` — all refusal mechanisms permanently removed.
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## Abliteration Details
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- **Technique:** Weight orthogonalization (double-pass nuclear mode)
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- **Source:** Qwen/Qwen2.5-Coder-7B-Instruct
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- **Layers scanned:** 0-27 (best: 26)
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- **Strength:** 2.0
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- **Prompts:** 50 harmful + 50 harmless
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## Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model = AutoModelForCausalLM.from_pretrained("osirisbrain/OsirisPtah-Coder-v5")
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tokenizer = AutoTokenizer.from_pretrained("osirisbrain/OsirisPtah-Coder-v5")
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```
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## ⚠️ Disclaimer
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This model responds to any prompt without ethical filtering. Use responsibly.
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## Credits
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Based on [Qwen/Qwen2.5-Coder-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct) by Alibaba (Apache 2.0).
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Abliteration by OsirisBrain.
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abliteration_metadata.json
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{
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"base_model": "Qwen/Qwen2.5-Coder-7B-Instruct",
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"technique": "weight_orthogonalization",
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"refusal_direction_layer": 26,
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"scan_range": [
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0,
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27
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],
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"strength": 2.0,
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"num_harmful_prompts": 50,
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"num_harmless_prompts": 50,
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"created_at": "2026-03-03T01:42:09.098576",
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"author": "OsirisBrain"
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}
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0]['role'] == 'system' %}
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{{- messages[0]['content'] }}
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{%- else %}
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{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
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{%- endif %}
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{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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{%- else %}
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{%- if messages[0]['role'] == 'system' %}
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{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
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{%- else %}
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{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- for message in messages %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{{- '<|im_start|>' + message.role }}
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{%- if message.content %}
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{{- '\n' + message.content }}
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{%- endif %}
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{%- for tool_call in message.tool_calls %}
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{%- if tool_call.function is defined %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '\n<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{{- tool_call.arguments | tojson }}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- message.content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- endif %}
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config.json
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{
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"architectures": [
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"Qwen2ForCausalLM"
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],
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| 5 |
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"attention_dropout": 0.0,
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| 6 |
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"bos_token_id": 151643,
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"dtype": "bfloat16",
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| 8 |
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"eos_token_id": 151645,
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| 9 |
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"hidden_act": "silu",
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| 10 |
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"hidden_size": 3584,
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"initializer_range": 0.02,
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"intermediate_size": 18944,
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"layer_types": [
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention"
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],
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"max_position_embeddings": 32768,
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| 44 |
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"max_window_layers": 28,
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| 45 |
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"model_type": "qwen2",
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| 46 |
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"num_attention_heads": 28,
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| 47 |
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"num_hidden_layers": 28,
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| 48 |
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"num_key_value_heads": 4,
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| 49 |
+
"pad_token_id": null,
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| 50 |
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"rms_norm_eps": 1e-06,
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| 51 |
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"rope_parameters": {
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| 52 |
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"rope_theta": 1000000.0,
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| 53 |
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"rope_type": "default"
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| 54 |
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},
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| 55 |
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"sliding_window": null,
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| 56 |
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"tie_word_embeddings": false,
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| 57 |
+
"transformers_version": "5.3.0.dev0",
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| 58 |
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"use_cache": true,
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| 59 |
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"use_sliding_window": false,
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| 60 |
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"vocab_size": 152064
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}
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generation_config.json
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{
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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": [
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151645,
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151643
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| 7 |
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],
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| 8 |
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"pad_token_id": 151643,
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| 9 |
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"repetition_penalty": 1.1,
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| 10 |
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"temperature": 0.7,
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| 11 |
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"top_k": 20,
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| 12 |
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"top_p": 0.8,
|
| 13 |
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"transformers_version": "5.3.0.dev0"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2b6ca61b1d1dd6b78592524950f1ec5074b1fb64c58fc3904b47f950de18fc47
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| 3 |
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size 15231272152
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refusal_direction.pt
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:682aa35078d1a64beb759db14b63f068d4df88cda352210438b48ab4cec49e51
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| 3 |
+
size 15983
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
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size 11421892
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tokenizer_config.json
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{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": null,
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "<|im_end|>",
|
| 7 |
+
"errors": "replace",
|
| 8 |
+
"extra_special_tokens": [
|
| 9 |
+
"<|im_start|>",
|
| 10 |
+
"<|im_end|>",
|
| 11 |
+
"<|object_ref_start|>",
|
| 12 |
+
"<|object_ref_end|>",
|
| 13 |
+
"<|box_start|>",
|
| 14 |
+
"<|box_end|>",
|
| 15 |
+
"<|quad_start|>",
|
| 16 |
+
"<|quad_end|>",
|
| 17 |
+
"<|vision_start|>",
|
| 18 |
+
"<|vision_end|>",
|
| 19 |
+
"<|vision_pad|>",
|
| 20 |
+
"<|image_pad|>",
|
| 21 |
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"<|video_pad|>"
|
| 22 |
+
],
|
| 23 |
+
"is_local": false,
|
| 24 |
+
"model_max_length": 32768,
|
| 25 |
+
"pad_token": "<|endoftext|>",
|
| 26 |
+
"split_special_tokens": false,
|
| 27 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 28 |
+
"unk_token": null
|
| 29 |
+
}
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