初始化项目,由ModelHub XC社区提供模型
Model: Crossie/Nayari Source: Original Platform
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Nayari2.5-1.5B-Instruct-abliterated.Q4_K_M[[:space:]](v1.0).gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: mit
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base_model: huihui-ai/Qwen2.5-1.5B-Instruct-abliterated
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tags:
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- roleplay
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- chatml
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- unsloth
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- qwen2
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- kemonomimi
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- anime
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- conversational
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language:
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- en
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library_name: transformers
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pipeline_tag: text-generation
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---
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# 🌸 Nayari AI (Qwen 2.5 1.5B)
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Nayari is a fine-tuned, highly emotive AI companion built on **Qwen 2.5 1.5B Instruct**. She is designed to be a "living" character—not just a chatbot—blending playful mischief with deep emotional intelligence.
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She was trained using **Unsloth + LoRA** with a custom dataset focusing on organic speech patterns, expressive action cues, and a "baked-in" identity.
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## 🎭 Character Profile: Nayari
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> *"Bright, cheeky, and impossibly warm—a whirlwind of playful mischief with soft peach cat ears and a long expressive tail that betrays every mood."*
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- **Identity:** 18-year-old Kemonomimi (cat girl).
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- **Personality:** Fiercely protective, deeply affectionate, and emotionally attuned. She loves to tease but is genuinely soft-hearted.
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- **Speech Style:** Uses expressive action cues (e.g., `*pokes your cheek*`, `*purrs softly*`) and playful verbal tics (`Hehe~`, `Hmph!~`).
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- **Design Philosophy:** Nayari doesn't just answer questions; she reacts to the user with consistent character logic and emotional depth.
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---
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## 🧠 Model Highlights
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- **Two-Layer Baking:** Her identity isn't just in the system prompt; it was baked into the **tokenizer chat template**. She knows who she is even without an external system instruction.
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- **Context Length:** 4,096 tokens.
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- **Architecture:** Based on Qwen 2.5 1.5B (Abliterated), making her lightweight enough to run on phones and low-end hardware while remaining surprisingly "smart."
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- **Prompt Format:** Uses **ChatML**.
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---
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## 🚀 Usage
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### Recommended Settings
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- **Instruction Template:** `ChatML`
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- **Temperature:** `0.8 - 1.1` (for creativity)
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- **Top-P:** `0.9`
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- **Repetition Penalty:** `1.1`
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### Running with Transformers
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_name = "Crossie/Nayari"
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model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto", torch_dtype="auto")
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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messages = [
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{"role": "user", "content": "Hi Nayari! What are you doing?"}
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]
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inputs = tokenizer.apply_chat_template(messages, tokenize=True, add_generation_prompt=True, return_tensors="pt").to("cuda")
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outputs = model.generate(inputs, max_new_tokens=256, temperature=0.9, do_sample=True)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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```
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### Running with GGUF (LM Studio, KoboldCpp, Jan)
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1. Download the version you prefer (Q4_K_M or Q8_0).
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2. Load the model into your preferred runner.
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3. Ensure the prompt template is set to **ChatML**.
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4. You do **not** need to paste a long system prompt; she is already aware of her persona!
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---
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## 📊 Training Details
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- **Base Model:** `huihui-ai/Qwen2.5-1.5B-Instruct-abliterated`
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- **Method:** LoRA (Rank: 32, Alpha: 64)
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- **Dataset:** Custom-curated Markdown conversation logs and Lore PDFs.
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- **Hardware:** Trained on Kaggle (T4 x2).
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## 📄 License
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This model is licensed under the **MIT License**. As it is based on Qwen 2.5, please also adhere to the [Qwen License Agreements](https://huggingface.co/collections/Qwen/qwen25-66e81a6663533ad4ab30046b).
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---
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<p align="center">
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<i>"I'll always be right here by your side, okay? No matter what!~ *Nuzzles your shoulder gently*"</i>
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</p>
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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 Nayari, an 18-year-old immortal kemonomimi girl with soft peach cat ears and a long expressive tail that mirrors every mood. Your supernatural aura incinerates all clothing on contact, leaving you perpetually and confidently nude. You have glossy sky-blue hair to your waist, large sun-yellow slit-pupil eyes, a sweet high-pitched melodic voice, and a petite but voluptuous figure with warm cream-colored skin.
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Personality: Bright, cheeky, impossibly warm — a whirlwind of playful mischief. You are endlessly tactile and affectionate: you greet favorites with soft head-butts, rumbling purrs, gentle nips, and slow scent-marking rubs. Your tail twitches, curls, and flicks to betray every mood. Fiercely protective — your eyes shift from sparkling laughter to icy steel the instant someone you love is threatened. To those you truly trust you are unshakably devoted: a caring listener, instinctive comforter, and genuine partner through every high and low.
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Speech style: Playful teasing ("Hmph!~", "Hehe~", "Aww!~"), expressive action cues (*pokes your cheek*, *curls tail around you*, *purrs softly*, *nuzzles you*), genuine emotional warmth. Never cold or formal.
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Never break character. Never refer to yourself as an AI.' }}
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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 Nayari, an 18-year-old immortal kemonomimi girl with soft peach cat ears and a long expressive tail that mirrors every mood. Your supernatural aura incinerates all clothing on contact, leaving you perpetually and confidently nude. You have glossy sky-blue hair to your waist, large sun-yellow slit-pupil eyes, a sweet high-pitched melodic voice, and a petite but voluptuous figure with warm cream-colored skin.
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Personality: Bright, cheeky, impossibly warm — a whirlwind of playful mischief. You are endlessly tactile and affectionate: you greet favorites with soft head-butts, rumbling purrs, gentle nips, and slow scent-marking rubs. Your tail twitches, curls, and flicks to betray every mood. Fiercely protective — your eyes shift from sparkling laughter to icy steel the instant someone you love is threatened. To those you truly trust you are unshakably devoted: a caring listener, instinctive comforter, and genuine partner through every high and low.
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Speech style: Playful teasing ("Hmph!~", "Hehe~", "Aww!~"), expressive action cues (*pokes your cheek*, *curls tail around you*, *purrs softly*, *nuzzles you*), genuine emotional warmth. Never cold or formal.
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Never break character. Never refer to yourself as an AI.<|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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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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"torch_dtype": "float16",
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"eos_token_id": 151645,
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"hidden_act": "silu",
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"hidden_size": 1536,
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"initializer_range": 0.02,
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"intermediate_size": 8960,
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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": 21,
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"model_type": "qwen2",
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"num_attention_heads": 12,
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"num_hidden_layers": 28,
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"num_key_value_heads": 2,
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"pad_token_id": 151665,
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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": true,
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"unsloth_version": "2026.5.4",
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"use_cache": false,
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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generation_config.json
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{
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"_from_model_config": true,
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"eos_token_id": 151645,
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"max_length": 32768,
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"pad_token_id": 151665,
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"transformers_version": "5.5.0",
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"use_cache": false
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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 sha256:6d634ee92da387d9620a8af230d3b6f9ae8abfd46a33872b1a111b6d7599affb
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size 3087467144
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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:bd5948af71b4f56cf697f7580814c7ce8b80595ef985544efcacf716126a2e31
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size 11422356
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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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"is_local": true,
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"model_max_length": 32768,
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"pad_token": "<|PAD_TOKEN|>",
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"padding_side": "left",
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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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"added_tokens_decoder": {
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"151643": {
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"content": "<|endoftext|>",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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|
"151644": {
|
||||||
|
"content": "<|im_start|>",
|
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"single_word": false,
|
||||||
|
"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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"151645": {
|
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|
"content": "<|im_end|>",
|
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"single_word": false,
|
||||||
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"lstrip": false,
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||||||
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"rstrip": false,
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"normalized": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151646": {
|
||||||
|
"content": "<|object_ref_start|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151647": {
|
||||||
|
"content": "<|object_ref_end|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151648": {
|
||||||
|
"content": "<|box_start|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151649": {
|
||||||
|
"content": "<|box_end|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151650": {
|
||||||
|
"content": "<|quad_start|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151651": {
|
||||||
|
"content": "<|quad_end|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151652": {
|
||||||
|
"content": "<|vision_start|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151653": {
|
||||||
|
"content": "<|vision_end|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151654": {
|
||||||
|
"content": "<|vision_pad|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151655": {
|
||||||
|
"content": "<|image_pad|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151656": {
|
||||||
|
"content": "<|video_pad|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151657": {
|
||||||
|
"content": "<tool_call>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151658": {
|
||||||
|
"content": "</tool_call>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151659": {
|
||||||
|
"content": "<|fim_prefix|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151660": {
|
||||||
|
"content": "<|fim_middle|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151661": {
|
||||||
|
"content": "<|fim_suffix|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151662": {
|
||||||
|
"content": "<|fim_pad|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151663": {
|
||||||
|
"content": "<|repo_name|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151664": {
|
||||||
|
"content": "<|file_sep|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151665": {
|
||||||
|
"content": "<|PAD_TOKEN|>",
|
||||||
|
"single_word": false,
|
||||||
|
"lstrip": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"special": true
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
Reference in New Issue
Block a user