初始化项目，由ModelHub XC社区提供模型
Model: Mr-profik/Profik-AI-Coding Source: Original Platform
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---
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base_model:
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- huihui-ai/Huihui-Qwen3-4B-Thinking-2507-abliterated
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datasets:
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- Aquiles-ai/Athenea-Coding-100k
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license: apache-2.0
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tags:
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- code
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- agent
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- text-generation-inference
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- merge
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- uncensored
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- athenea
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language:
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- en
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- es
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pipeline_tag: text-generation
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library_name: transformers
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---
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<h1 align="center">Athenea-4B-Coding</h1>
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**Athenea-4B-Coding** is a fine-tuned version of [huihui-ai/Huihui-Qwen3-4B-Thinking-2507-abliterated](https://huggingface.co/huihui-ai/Huihui-Qwen3-4B-Thinking-2507-abliterated), specialized in **code reasoning, debugging, and problem solving**.
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Trained on high-quality programming data with explicit reasoning traces using `<think>` and `</think>` tags, the model is designed to perform detailed step-by-step reasoning for software development, algorithm design, and code comprehension tasks.
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> ⚠️ **Important Note:** This model uses an *abliterated (uncensored)* base version, providing full expressive freedom and unrestricted output generation. Users are fully responsible for any use or content produced by the model. It is intended exclusively for research and experimentation purposes.
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## 🎯 Model Description
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Athenea-4B-Coding extends Huihui-Qwen3’s structured reasoning capabilities into programming-related domains, showing strong performance on logical problem-solving, code completion, and debugging scenarios.
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Key features:
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* **Step-by-step code reasoning** within `<think>` blocks
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* **Specialization in algorithmic and debugging tasks**
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* **Uncensored output generation** for full reasoning visibility
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* **Improved logical consistency** through focused fine-tuning
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* **Compatible with open inference frameworks** (Transformers, vLLM, etc.)
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The model was fine-tuned using the dataset [Aquiles-ai/Athenea-Coding-100k](https://huggingface.co/datasets/Aquiles-ai/Athenea-Coding-100k), which includes diverse programming challenges, structured reasoning chains, and natural language explanations across multiple programming languages.
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> Note: Fine-tuning was performed using **Kronos**, Aquiles-ai’s proprietary enterprise fine-tuning system.
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## 💻 Usage
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### Installation
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```bash
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uv pip install transformers torch accelerate
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```
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### Basic Inference
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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model = AutoModelForCausalLM.from_pretrained("Aquiles-ai/Athenea-4B-Coding",
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dtype=torch.bfloat16,
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trust_remote_code=True,
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device_map="auto",
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attn_implementation="flash_attention_2") # Requires flash-attn
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# Without flash-attn:
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# model = AutoModelForCausalLM.from_pretrained("Aquiles-ai/Athenea-4B-Coding",
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# dtype="auto",
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# device_map="auto"
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# )
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tokenizer = AutoTokenizer.from_pretrained("Aquiles-ai/Athenea-4B-Coding", trust_remote_code=True)
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messages = [
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{"role": "user", "content": "Hey, write a Python function that calculates the factorial of a number recursively."}
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]
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inputs = tokenizer.apply_chat_template(
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messages,
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add_generation_prompt=True,
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tokenize=True,
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return_dict=True,
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return_tensors="pt",
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).to('cuda')
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with torch.no_grad():
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output = model.generate(
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**inputs,
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max_new_tokens=8092,
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pad_token_id=tokenizer.eos_token_id,
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eos_token_id=tokenizer.eos_token_id,
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)
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# Decode and print the output
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print(tokenizer.decode(output[0], skip_special_tokens=True))
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```
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### Streaming Inference
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer, TextIteratorStreamer
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import torch
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from threading import Thread
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model = AutoModelForCausalLM.from_pretrained("Aquiles-ai/Athenea-4B-Coding",
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dtype=torch.bfloat16,
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trust_remote_code=True,
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device_map="auto",
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attn_implementation="flash_attention_2")
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tokenizer = AutoTokenizer.from_pretrained("Aquiles-ai/Athenea-4B-Coding", trust_remote_code=True)
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messages = [
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{"role": "user", "content": "Hey, write a Python function that implements the binary search algorithm recursively."}
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]
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inputs = tokenizer.apply_chat_template(
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messages,
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add_generation_prompt=True,
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tokenize=True,
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return_dict=True,
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return_tensors="pt",
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).to('cuda')
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# Create the streamer
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streamer = TextIteratorStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)
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# Build kwargs for generate
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generate_kwargs = dict(
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**inputs,
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max_new_tokens=8092,
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pad_token_id=tokenizer.eos_token_id,
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eos_token_id=tokenizer.eos_token_id,
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streamer=streamer,
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)
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def _generate_thread(model, kwargs):
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with torch.no_grad():
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model.generate(**kwargs)
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thread = Thread(target=_generate_thread, args=(model, generate_kwargs))
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thread.start()
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for chunk in streamer:
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print(chunk, end="", flush=True)
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```
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### Production Deployment with vLLM
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**Start server:**
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```bash
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vllm serve Aquiles-ai/Athenea-4B-Coding \
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--host 0.0.0.0 \
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--port 8000 \
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--api-key dummyapikey \
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--max-model-len=16384 \
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--async-scheduling \
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--gpu-memory-utilization=0.90
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```
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**Request to the server from the OpenAI client:**
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```python
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from openai import OpenAI
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client = OpenAI(api_key="dummyapikey", base_url="http://127.0.0.1:8000/v1")
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stream = client.chat.completions.create(
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model="Aquiles-ai/Athenea-4B-Coding",
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messages=[{
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"role": "user",
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"content": "Hey, write a Python function that determines if a string is a palindrome, ignoring case, spaces, and punctuation."
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}],
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max_tokens=8092,
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stream=True
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)
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for chunk in stream:
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if chunk.choices[0].delta.content:
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print(chunk.choices[0].delta.content, end="", flush=True)
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```
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**vLLM Benefits:** 20-30x faster inference, OpenAI-compatible API, continuous batching, async scheduling.
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## Contact
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- **More about [Aquiles-ai](https://aquiles-ai.vercel.app)).**
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- **Aquiles-ai on [GitHub](https://github.com/Aquiles-ai).**
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- **Our collections at [HuggingFace](https://huggingface.co/Aquiles-ai/collections).**
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### Aquiles-playground
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In addition to code usage, you can also try our models locally through an [open-source playground on GitHub](https://github.com/Aquiles-ai/aquiles-playground).
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<p align="center">
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Made with ❤️ by <a href="https://github.com/Aquiles-ai">Aquiles-ai</a>
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</p>
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"</think>": 151668,
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"</tool_call>": 151658,
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"</tool_response>": 151666,
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"<think>": 151667,
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"<tool_call>": 151657,
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"<tool_response>": 151665,
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"<|box_end|>": 151649,
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"<|box_start|>": 151648,
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"<|endoftext|>": 151643,
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"<|file_sep|>": 151664,
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"<|fim_middle|>": 151660,
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"<|fim_pad|>": 151662,
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"<|fim_prefix|>": 151659,
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"<|fim_suffix|>": 151661,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644,
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"<|image_pad|>": 151655,
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"<|object_ref_end|>": 151647,
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"<|object_ref_start|>": 151646,
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"<|quad_end|>": 151651,
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"<|quad_start|>": 151650,
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"<|repo_name|>": 151663,
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"<|video_pad|>": 151656,
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"<|vision_end|>": 151653,
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"<|vision_pad|>": 151654,
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"<|vision_start|>": 151652
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}
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atheneamodel.png
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version https://git-lfs.github.com/spec/v1
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oid sha256:8d1b9c6cd89b785f5ef3264a42c108c14f58daf25ea1f880a9fb9a7fd7f8dc5c
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size 447743
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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 + '\n\n' }}
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{%- endif %}
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{{- "# 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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{%- endif %}
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- for message in messages[::-1] %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
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{%- set ns.multi_step_tool = false %}
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{%- set ns.last_query_index = index %}
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{%- endif %}
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{%- endfor %}
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{%- for message in messages %}
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{%- if message.content is string %}
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{%- set content = message.content %}
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{%- else %}
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{%- set content = '' %}
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{%- endif %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is string %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in content %}
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{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- set content = content.split('</think>')[-1].lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- if loop.index0 > ns.last_query_index %}
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{%- if loop.last or (not loop.last and reasoning_content) %}
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- if message.tool_calls %}
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{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and content) or (not loop.first) %}
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{{- '\n' }}
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{%- endif %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{%- if tool_call.arguments is string %}
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{{- tool_call.arguments }}
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{%- else %}
|
||||||
|
{{- tool_call.arguments | tojson }}
|
||||||
|
{%- endif %}
|
||||||
|
{{- '}\n</tool_call>' }}
|
||||||
|
{%- endfor %}
|
||||||
|
{%- endif %}
|
||||||
|
{{- '<|im_end|>\n' }}
|
||||||
|
{%- elif message.role == "tool" %}
|
||||||
|
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
||||||
|
{{- '<|im_start|>user' }}
|
||||||
|
{%- endif %}
|
||||||
|
{{- '\n<tool_response>\n' }}
|
||||||
|
{{- content }}
|
||||||
|
{{- '\n</tool_response>' }}
|
||||||
|
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
||||||
|
{{- '<|im_end|>\n' }}
|
||||||
|
{%- endif %}
|
||||||
|
{%- endif %}
|
||||||
|
{%- endfor %}
|
||||||
|
{%- if add_generation_prompt %}
|
||||||
|
{{- '<|im_start|>assistant\n<think>\n' }}
|
||||||
|
{%- endif %}
|
||||||
68
config.json
Normal file
68
config.json
Normal file
@@ -0,0 +1,68 @@
|
|||||||
|
{
|
||||||
|
"architectures": [
|
||||||
|
"Qwen3ForCausalLM"
|
||||||
|
],
|
||||||
|
"attention_bias": false,
|
||||||
|
"attention_dropout": 0.0,
|
||||||
|
"dtype": "bfloat16",
|
||||||
|
"eos_token_id": 151645,
|
||||||
|
"head_dim": 128,
|
||||||
|
"hidden_act": "silu",
|
||||||
|
"hidden_size": 2560,
|
||||||
|
"initializer_range": 0.02,
|
||||||
|
"intermediate_size": 9728,
|
||||||
|
"layer_types": [
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention"
|
||||||
|
],
|
||||||
|
"max_position_embeddings": 262144,
|
||||||
|
"max_window_layers": 36,
|
||||||
|
"model_type": "qwen3",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"rms_norm_eps": 1e-06,
|
||||||
|
"rope_scaling": null,
|
||||||
|
"rope_theta": 5000000,
|
||||||
|
"sliding_window": null,
|
||||||
|
"tie_word_embeddings": true,
|
||||||
|
"transformers_version": "4.56.2",
|
||||||
|
"use_cache": false,
|
||||||
|
"use_sliding_window": false,
|
||||||
|
"vocab_size": 151936
|
||||||
|
}
|
||||||
12
generation_config.json
Normal file
12
generation_config.json
Normal file
@@ -0,0 +1,12 @@
|
|||||||
|
{
|
||||||
|
"do_sample": true,
|
||||||
|
"eos_token_id": [
|
||||||
|
151645,
|
||||||
|
151643
|
||||||
|
],
|
||||||
|
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|
||||||
|
"temperature": 0.6,
|
||||||
|
"top_k": 20,
|
||||||
|
"top_p": 0.95,
|
||||||
|
"transformers_version": "4.56.2"
|
||||||
|
}
|
||||||
151388
merges.txt
Normal file
151388
merges.txt
Normal file
File diff suppressed because it is too large
Load Diff
3
model-00001-of-00002.safetensors
Normal file
3
model-00001-of-00002.safetensors
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
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||||||
|
oid sha256:a1d0a9a13efd74eab9d8c99cae78d5ef88fc2d014ac12249f0c8591558d6620c
|
||||||
|
size 4967215360
|
||||||
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model-00002-of-00002.safetensors
Normal file
3
model-00002-of-00002.safetensors
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
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||||||
|
oid sha256:e18f234a9b204fd9e27d35e5e165601aca519b2df46a6d3eb895ac38c98750d1
|
||||||
|
size 3077766632
|
||||||
406
model.safetensors.index.json
Normal file
406
model.safetensors.index.json
Normal file
@@ -0,0 +1,406 @@
|
|||||||
|
{
|
||||||
|
"metadata": {
|
||||||
|
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|
||||||
|
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|
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|
||||||
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|
||||||
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|
||||||
3
preview_playground.png
Normal file
3
preview_playground.png
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
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||||||
|
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|
||||||
|
size 168736
|
||||||
31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
|
|||||||
|
{
|
||||||
|
"additional_special_tokens": [
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
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|
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|
||||||
|
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|
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|
||||||
|
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|
||||||
|
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|
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|
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|
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|
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|
||||||
|
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|
||||||
|
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|
||||||
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
Binary file not shown.
239
tokenizer_config.json
Normal file
239
tokenizer_config.json
Normal file
@@ -0,0 +1,239 @@
|
|||||||
|
{
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
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|
||||||
|
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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||||||
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||||||
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||||||
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|
||||||
|
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|
||||||
|
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||||||
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|
||||||
|
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|
||||||
|
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|
||||||
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||||||
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|
||||||
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||||||
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||||||
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|
||||||
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||||||
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|
||||||
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||||||
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||||||
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|
||||||
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|
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|
||||||
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|
||||||
|
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|
||||||
|
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|
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|
||||||
|
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|
||||||
|
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|
||||||
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|
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|
||||||
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|
||||||
|
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|
||||||
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|
||||||
|
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|
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|
||||||
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|
||||||
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|
||||||
|
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|
||||||
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|
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|
||||||
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
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|
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|
||||||
|
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|
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|
||||||
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|
||||||
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|
||||||
|
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|
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|
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|
||||||
|
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||||||
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||||||
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|
||||||
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||||||
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|
||||||
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||||||
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|
||||||
|
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||||||
|
"content": "<|fim_suffix|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151662": {
|
||||||
|
"content": "<|fim_pad|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151663": {
|
||||||
|
"content": "<|repo_name|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151664": {
|
||||||
|
"content": "<|file_sep|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151665": {
|
||||||
|
"content": "<tool_response>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151666": {
|
||||||
|
"content": "</tool_response>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151667": {
|
||||||
|
"content": "<think>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151668": {
|
||||||
|
"content": "</think>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"additional_special_tokens": [
|
||||||
|
"<|im_start|>",
|
||||||
|
"<|im_end|>",
|
||||||
|
"<|object_ref_start|>",
|
||||||
|
"<|object_ref_end|>",
|
||||||
|
"<|box_start|>",
|
||||||
|
"<|box_end|>",
|
||||||
|
"<|quad_start|>",
|
||||||
|
"<|quad_end|>",
|
||||||
|
"<|vision_start|>",
|
||||||
|
"<|vision_end|>",
|
||||||
|
"<|vision_pad|>",
|
||||||
|
"<|image_pad|>",
|
||||||
|
"<|video_pad|>"
|
||||||
|
],
|
||||||
|
"bos_token": null,
|
||||||
|
"clean_up_tokenization_spaces": false,
|
||||||
|
"eos_token": "<|im_end|>",
|
||||||
|
"errors": "replace",
|
||||||
|
"extra_special_tokens": {},
|
||||||
|
"model_max_length": 262144,
|
||||||
|
"pad_token": "<|endoftext|>",
|
||||||
|
"split_special_tokens": false,
|
||||||
|
"tokenizer_class": "Qwen2Tokenizer",
|
||||||
|
"unk_token": null
|
||||||
|
}
|
||||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user