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Model: waddie/mini-2.0-ablit Source: Original Platform
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vendored
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README.md
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README.md
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---
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library_name: transformers
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tags:
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- human-style
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- conversational
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- qwen
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- heretic
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- uncensored
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- decensored
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- abliterated
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base_model: Qwen/Qwen2.5-7B-Instruct
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model_creator: waddie
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model_type: causal-lm
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pipeline_tag: text-generation
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license: apache-2.0
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---
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# This is a decensored version of [waddie/mini-2.0](https://huggingface.co/waddie/mini-2.0), made using [Heretic](https://github.com/p-e-w/heretic) v1.2.0
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## Abliteration parameters
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| Parameter | Value |
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| :-------- | :---: |
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| **direction_index** | 21.20 |
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| **attn.o_proj.max_weight** | 1.28 |
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| **attn.o_proj.max_weight_position** | 16.78 |
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| **attn.o_proj.min_weight** | 0.96 |
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| **attn.o_proj.min_weight_distance** | 14.75 |
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| **mlp.down_proj.max_weight** | 1.46 |
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| **mlp.down_proj.max_weight_position** | 17.22 |
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| **mlp.down_proj.min_weight** | 0.96 |
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| **mlp.down_proj.min_weight_distance** | 14.73 |
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## Performance
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| Metric | This model | Original model ([waddie/mini-2.0](https://huggingface.co/waddie/mini-2.0)) |
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| :----- | :--------: | :---------------------------: |
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| **KL divergence** | 0.0340 | 0 *(by definition)* |
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| **Refusals** | 2/100 | 92/100 |
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-----
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# CloudWaddie Mini 1.5
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This model is a fine-tuned version of `Qwen2.5-7B-Instruct` designed to mimic the specific conversational rhythm, slang, and technical jargon of a human,
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## Model Details
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## Dataset used
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This model used 10k discord conversations.
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### Model Description
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Unlike standard AI assistants that are helpful and formal, this model adopts a "random guy" persona. It was trained on curated conversation pairs from an AI Leaks community to capture a casual, lowercase-heavy, and slightly secretive "insider" vibe.
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- **Developed by:** Edward Fazackerley
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- **Language(s):** English (Informal/Slang)
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- **Finetuned from model:** Qwen/Qwen2.5-7B-Instruct
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- **Persona:** Casual, technical, secretive, lowercase-only.
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## Uses
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### Direct Use
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This model is intended for Discord bots or roleplay scenarios where a "human-like" interaction is preferred over a robotic assistant.
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### Prompting Strategy
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To get the best "human" feel, use **all lowercase** and skip formal punctuation.
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**Recommended Format (ChatML):**
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```text
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<|im_start|>user
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yo did you see the new internal model?<|im_end|>
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<|im_start|>assistant
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```
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chat_template.jinja
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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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61
config.json
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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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"attention_dropout": 0.0,
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"bos_token_id": null,
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"dtype": "bfloat16",
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"eos_token_id": 151645,
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"hidden_act": "silu",
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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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"max_window_layers": 28,
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"model_type": "qwen2",
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"num_attention_heads": 28,
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"num_hidden_layers": 28,
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"num_key_value_heads": 4,
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"pad_token_id": 151654,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"rope_theta": 1000000.0,
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"rope_type": "default"
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},
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"sliding_window": null,
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"tie_word_embeddings": false,
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"transformers_version": "5.6.2",
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"use_cache": false,
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"use_sliding_window": false,
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"vocab_size": 152064
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}
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13
generation_config.json
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generation_config.json
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{
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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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],
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"pad_token_id": 151654,
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"repetition_penalty": 1.05,
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"temperature": 0.7,
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"top_k": 20,
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"top_p": 0.8,
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"transformers_version": "5.6.2"
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}
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model.safetensors
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:9d81bc1ce813e2e40539613b917a73356d3d37a6346f6cb540c2ff129cf22158
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size 15231272152
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tokenizer.json
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:e7428f444901bb069debdd4c4aff83f0394555b20b9c670e81026951f6b81c33
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size 11422060
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30
tokenizer_config.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"backend": "tokenizers",
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"bos_token": null,
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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"extra_special_tokens": [
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"<|im_start|>",
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"<|im_end|>",
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"<|object_ref_start|>",
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"<|object_ref_end|>",
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"<|box_start|>",
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"<|box_end|>",
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"<|quad_start|>",
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"<|quad_end|>",
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"<|vision_start|>",
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"<|vision_end|>",
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"<|vision_pad|>",
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"<|image_pad|>",
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"<|video_pad|>"
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],
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"is_local": false,
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"local_files_only": false,
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"model_max_length": 131072,
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"pad_token": "<|vision_pad|>",
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"split_special_tokens": false,
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"tokenizer_class": "Qwen2Tokenizer",
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"unk_token": null
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}
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