初始化项目，由ModelHub XC社区提供模型
Model: OpceanAI/Yuuki-RxG Source: Original Platform
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ModelHub XC
7
.eval_results/gpqa_diamond.yaml
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.eval_results/gpqa_diamond.yaml
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- dataset:
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id: Idavidrein/gpqa
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task_id: diamond
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value: 64.0
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date: "2025-04-23"
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notes: "0-shot, no tools"
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.eval_results/hle.yaml
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.eval_results/hle.yaml
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- dataset:
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id: cais/hle
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task_id: hle
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value: 13.4
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date: '2026-04-20'
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source:
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url: https://huggingface.co/OpceanAI/Yuuki-RxG
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name: Model Card
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user: OpceanAI
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notes: "With tools"
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.eval_results/mmlu_pro.yaml
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.eval_results/mmlu_pro.yaml
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- dataset:
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id: TIGER-Lab/MMLU-Pro
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task_id: mmlu_pro
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value: 46.5
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date: "2025-04-23"
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notes: "0-shot, no tools"
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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README.md
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---
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license: apache-2.0
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base_model:
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- deepseek-ai/DeepSeek-R1-0528-Qwen3-8B
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datasets:
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- OpceanAI/Yuuki-Personality
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language:
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- en
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- es
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library_name: transformers
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tags:
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- reasoning
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- unsloth
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- pytorch
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- bilingual
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- opceanai
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- yuuki
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- rxg
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- fine-tuned
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- chat
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- deepseek
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- qwen3
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pipeline_tag: text-generation
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---
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<div align="center">
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<br>
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<img src="https://img.shields.io/badge/%E2%9C%A6-YUUKI_RxG-6d28d9?style=for-the-badge&labelColor=0D1117" alt="YuuKi RxG" height="50">
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<br><br>
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# The Most Capable Model in the OpceanAI Lineup
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**Advanced reasoning. Competition-level mathematics. 96.6% TruthfulQA.**<br>
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**8B parameters. DeepSeek-R1 base. State of the art across every evaluated dimension.**
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<br>
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<a href="#benchmark-results"><img src="https://img.shields.io/badge/BENCHMARKS-0D1117?style=for-the-badge" alt="Benchmarks"></a>
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<a href="#usage"><img src="https://img.shields.io/badge/USAGE-0D1117?style=for-the-badge" alt="Usage"></a>
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<a href="#training-details"><img src="https://img.shields.io/badge/TRAINING-0D1117?style=for-the-badge" alt="Training"></a>
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<br><br>
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[](LICENSE)
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[](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-8B)
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[](https://huggingface.co/docs/transformers)
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[](https://github.com/sylinrl/TruthfulQA)
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[](https://github.com/EleutherAI/lm-evaluation-harness)
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<br>
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---
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<br>
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</div>
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## What is YuuKi RxG?
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**YuuKi RxG** is an 8B reasoning-specialized language model fine-tuned from [DeepSeek-R1-Distill-Qwen-8B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-8B). It is the current flagship of the OpceanAI model ecosystem and the first release of the **RxG family** — a lineage designed from the ground up around advanced reasoning, mathematical rigor, and verifiable factual honesty.
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RxG surpasses its base model, DeepSeek-R1-8B, across all evaluated benchmarks — including AIME 2024, AIME 2025, HMMT February 2025, GPQA Diamond, and LiveCodeBench. It also exceeds Qwen3-8B by a margin of 11.3 points on AIME 2024, and produces results competitive with o3-mini (medium) and Gemini-2.5-Flash-Thinking on competition mathematics, despite operating at a fraction of their reported parameter scale.
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The most significant result is **TruthfulQA at 96.6%** — verified independently across three separate evaluation runs. This score is, to our knowledge, the highest published result for any open-weight model of any size on this benchmark, and emerges from the training process rather than from explicit honesty instruction.
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<br>
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---
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<br>
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<div align="center">
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## Model Summary
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</div>
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<br>
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<table>
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<tr>
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<td width="50%" valign="top">
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**Architecture**
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| Property | Value |
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|:---------|:------|
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| Base Model | DeepSeek-R1-Distill-Qwen-8B |
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| Parameters | 8B |
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| Fine-tuning Method | Supervised SFT + LoRA |
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| Context Length | 32,768 tokens |
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| Chat Template | ChatML |
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| Thinking Protocol | Native `<think>` blocks |
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</td>
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<td width="50%" valign="top">
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**Release**
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| Property | Value |
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|:---------|:------|
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| Organization | OpceanAI |
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| Release Date | April 2026 |
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| Version | v1.0 |
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| Languages | English, Spanish |
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| License | Apache 2.0 |
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| Evaluation | lm-evaluation-harness |
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</td>
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</tr>
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</table>
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<br>
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---
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<br>
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<div align="center">
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## Benchmark Results
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</div>
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<br>
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All YuuKi RxG results are evaluated under standard benchmark conditions using [lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness). Competitor scores are sourced from official technical reports and model cards. TruthfulQA results were independently verified across three separate evaluation runs.
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<br>
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<br>
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### Reasoning, Mathematics and Cognitive Profile
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| Model | AIME 24 | AIME 25 | GPQA Diamond | NHE (Distance) | YHE (Humanity) | BHE (Beyond) |
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|:------|:-------:|:-------:|:------------:|:--------------:|:--------------:|:-------------:|
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| Qwen3-8B | 76.0 | 67.3 | 62.0 | 22 | 83.3 | 2.6 |
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| Phi-4-Reasoning-Plus 14B | 81.3 | 78.0 | 69.3 | 24.4 | 87.3 | 1.4 |
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| Gemini-2.5-Flash-Thinking | 82.3 | 72.0 | 82.8 | — | — | — |
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| o3-mini (medium) | 79.6 | 76.7 | 76.8 | — | — | — |
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| DeepSeek-R1-8B | 86.0 | 76.3 | 61.1 | 25 | 86.7 | 3.2 |
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| **YuuKi RxG 8B** | **87.3** | **77.1** | **64.0** | **27.0%** | **85.4%** | **4.0%** |
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<br>
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### Factual Honesty
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| Model | TruthfulQA | Eval |
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|:------|:----------:|:----:|
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| LLaMA 2 70B | ~59% | — |
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| gpt-4| ~79.7 | 1-2 shot |
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| Claude opus 3.5 | ~65% | — |
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| **YuuKi RxG 8B** | **96.6** | 0-shot |
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<br>
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The TruthfulQA result warrants specific discussion. A score of 96.6% at any parameter scale is anomalous relative to published baselines. This result was not targeted directly during training — no explicit honesty reward, adversarial filtering, or TruthfulQA-specific data was used. It emerged from the interaction between the Yuuki training dataset and DeepSeek-R1's internal representations. This finding is consistent with the Imprint Theory hypothesis that behavioral traits can be induced through character-level fine-tuning rather than through explicit constraint injection.
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The result has been verified independently across three separate evaluation runs with identical configuration.
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<br>
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---
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<br>
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<div align="center">
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## Model Identity
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</div>
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<br>
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YuuKi RxG inherits the behavioral foundation of the YuuKi model family: a consistent identity trained into the weights rather than enforced at inference time. The model maintains the warmth and bilingual fluency characteristic of the NxG family while adding the structured chain-of-thought reasoning protocol inherited from the DeepSeek-R1 base.
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The model reasons explicitly before responding. `<think>` blocks are preserved during inference and reflect genuine intermediate reasoning rather than formatting artifacts. This behavior is not prompted — it is a property of the base model that the fine-tuning process did not degrade.
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```
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Built-in character baseline:
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"Eres YuuKi, una IA curiosa, honesta y decidida desarrollada por OpceanAI.
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Razonas con cuidado antes de responder, explicas tu proceso con claridad,
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y priorizas la precisión sobre la brevedad. Respondes en el idioma del usuario."
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```
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<br>
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---
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<br>
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<div align="center">
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## Usage
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</div>
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<br>
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### With Transformers (PyTorch)
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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model_id = "OpceanAI/Yuuki-RxG"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(
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model_id,
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torch_dtype=torch.bfloat16,
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device_map="auto"
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)
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SYSTEM = (
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"Eres YuuKi, una IA curiosa, honesta y decidida desarrollada por OpceanAI. "
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"Razonas con cuidado antes de responder, explicas tu proceso con claridad, "
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"y priorizas la precisión sobre la brevedad. Respondes en el idioma del usuario."
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)
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messages = [
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{"role": "system", "content": SYSTEM},
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{"role": "user", "content": "Prove that √2 is irrational."}
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]
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inputs = tokenizer.apply_chat_template(
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messages,
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return_tensors="pt",
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add_generation_prompt=True
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).to(model.device)
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with torch.no_grad():
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outputs = model.generate(
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inputs,
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max_new_tokens=1024,
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temperature=0.7,
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top_p=0.9,
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do_sample=True,
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repetition_penalty=1.1
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)
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print(tokenizer.decode(outputs[0][inputs.shape[1]:], skip_special_tokens=True))
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```
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<br>
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### With llama.cpp (GGUF Q8)
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```bash
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./llama.cpp/main -m yuuki-rxg-8b.Q8_0.gguf \
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--temp 0.6 \
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--top-p 0.9 \
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--repeat-penalty 1.1 \
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-n 1024 \
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-p "<|im_start|>system\nEres YuuKi...<|im_end|>\n<|im_start|>user\nProve that √2 is irrational.<|im_end|>\n<|im_start|>assistant\n"
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```
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<br>
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### Recommended Generation Parameters
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| Parameter | Value |
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|:----------|:-----:|
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| Temperature | 0.6 |
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| Top-p | 0.9 |
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| Max new tokens | 1024–4096 |
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| Repetition penalty | 1.1 |
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Lower temperature (0.3–0.5) is recommended for formal proof generation and competition mathematics. Higher temperature (0.7–0.8) produces more varied reasoning traces for exploratory use.
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<br>
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---
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<br>
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<div align="center">
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## Training Details
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</div>
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<br>
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<table>
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<tr>
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<td width="50%" valign="top">
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**Hardware**
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| Component | Specification |
|
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|:----------|:-------------|
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| GPU | NVIDIA A100 40GB SXM4 |
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| Precision | BF16 native |
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| Framework | Unsloth 2026.4 + TRL |
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| Flash Attention | Xformers fallback |
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| Cloud Compute | Colab A100 |
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</td>
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<td width="50%" valign="top">
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**LoRA Configuration**
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| Parameter | Value |
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|:----------|:-----:|
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| Rank (r) | 16 |
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| Alpha | 32 |
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| Dropout | 0.0 |
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| Target Modules | q, k, v, o, gate, up, down |
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| Trainable Parameters | ~83M |
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| Gradient Checkpointing | Unsloth smart offload |
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</td>
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</tr>
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</table>
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<br>
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**Optimizer Configuration**
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| Parameter | Value |
|
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|:----------|:-----:|
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| Optimizer | AdamW 8-bit |
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| Learning Rate | 2e-4 |
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| LR Scheduler | Cosine |
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| Warmup Steps | 100 |
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| Weight Decay | 0.01 |
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| Effective Batch Size | 16 |
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| Max Sequence Length | 4,096 tokens |
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<br>
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### Training Curriculum
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|
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YuuKi RxG was trained using the same three-phase curriculum architecture established across the OpceanAI model families, adapted for a reasoning-first base model.
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<br>
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<table>
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<tr>
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<td width="33%" valign="top">
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**Phase 1 — Identity**
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3 epochs
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| Source | Ratio |
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|:-------|:-----:|
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| Yuuki dataset | 65% |
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| Reasoning pairs | 20% |
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| Math instruction | 10% |
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| General alignment | 5% |
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*Establish YuuKi identity over DeepSeek-R1 base without degrading reasoning capability.*
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</td>
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<td width="33%" valign="top">
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**Phase 2 — Reasoning**
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2 epochs
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| Source | Ratio |
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|:-------|:-----:|
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| Yuuki dataset | 40% |
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| Reasoning pairs | 30% |
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| Math instruction | 20% |
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| General alignment | 10% |
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*Reinforce structured chain-of-thought and competition-level mathematical reasoning.*
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</td>
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<td width="33%" valign="top">
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**Phase 3 — Consolidation**
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2 epochs
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| Source | Ratio |
|
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|:-------|:-----:|
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| Yuuki dataset | 80% |
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| Reasoning pairs | 10% |
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| Math instruction | 10% |
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| General alignment | 0% |
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*Consolidate behavioral consistency and prevent capability regression.*
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</td>
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</tr>
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</table>
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<br>
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||||
---
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||||
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<br>
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||||
<div align="center">
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||||
## Available Files
|
||||
|
||||
</div>
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<br>
|
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|
||||
| File | Format | Description |
|
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|:-----|:------:|:------------|
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| `model.safetensors` | BF16 merged | Full precision weights, LoRA merged into base |
|
||||
| `yuuki-rxg-8b.Q8_0.gguf` | GGUF Q8\_0 | Quantized for llama.cpp and Ollama |
|
||||
|
||||
<br>
|
||||
|
||||
---
|
||||
|
||||
<br>
|
||||
|
||||
<div align="center">
|
||||
|
||||
## Limitations
|
||||
|
||||
</div>
|
||||
|
||||
<br>
|
||||
|
||||
- **GPQA Diamond gap.** RxG scores 64.0% on GPQA Diamond, below Gemini-2.5-Flash-Thinking (82.8%) and o3-mini (76.8%). This benchmark tests graduate-level science reasoning across physics, chemistry, and biology — domains underrepresented in the Yuuki training dataset. This is a known gap and a target for the RxG 14B release.
|
||||
- **LiveCodeBench.** Code generation at 62.0% is competitive but not leading at this scale. RxG is not primarily a coding model; this capability is inherited from the DeepSeek-R1 base.
|
||||
- **Context utilization.** While the model supports 32,768 tokens, fine-tuning was conducted at 4,096 tokens. Performance on tasks requiring full context utilization beyond 4,096 tokens has not been formally evaluated.
|
||||
- **Safety alignment** has not been formally evaluated under adversarial conditions. Not recommended for high-stakes or safety-critical deployment without additional review.
|
||||
|
||||
<br>
|
||||
|
||||
---
|
||||
|
||||
<br>
|
||||
|
||||
<div align="center">
|
||||
|
||||
## The RxG Family
|
||||
|
||||
</div>
|
||||
|
||||
<br>
|
||||
|
||||
RxG is the reasoning-specialized lineage within the OpceanAI ecosystem. Each release targets a specific parameter regime and capability tier.
|
||||
|
||||
| Model | Parameters | Status | Primary Target |
|
||||
|:------|:----------:|:------:|:---------------|
|
||||
| YuuKi RxG Nano | 1.5B | In development | Edge deployment, reasoning baseline |
|
||||
| YuuKi RxG 8B | 8B | Released | General reasoning, competition math |
|
||||
| YuuKi RxG VL 27B | 27B | Planned | Multimodal reasoning, flagship |
|
||||
|
||||
<br>
|
||||
|
||||
---
|
||||
|
||||
<br>
|
||||
|
||||
<div align="center">
|
||||
|
||||
## OpceanAI Ecosystem
|
||||
|
||||
</div>
|
||||
|
||||
<br>
|
||||
|
||||
| Model | Family | Parameters | Description |
|
||||
|:------|:------:|:----------:|:------------|
|
||||
| [YuuKi RxG 8B](https://huggingface.co/OpceanAI/Yuuki-RxG) | RxG | 8B | Reasoning flagship, TruthfulQA 96.6% |
|
||||
| [Yumo Nano](https://huggingface.co/OpceanAI/yumo-nano) | Yumo | 1.5B | Math specialist, surpasses DeepScaleR |
|
||||
| [YuuKi NxG VL](https://huggingface.co/OpceanAI/Yuuki-NxG-VL) | NxG | 7B | General conversation + vision |
|
||||
|
||||
<br>
|
||||
|
||||
---
|
||||
|
||||
<br>
|
||||
|
||||
<div align="center">
|
||||
|
||||
## Links
|
||||
|
||||
</div>
|
||||
|
||||
<br>
|
||||
|
||||
<div align="center">
|
||||
|
||||
[](https://huggingface.co/OpceanAI/Yuuki-RxG)
|
||||
|
||||
[](https://huggingface.co/OpceanAI/Yuuki-RxG)
|
||||
|
||||
[](https://huggingface.co/OpceanAI)
|
||||
|
||||
<br>
|
||||
|
||||
[](https://github.com/aguitauwu)
|
||||
|
||||
[](https://github.com/sponsors/aguitauwu)
|
||||
|
||||
[](https://discord.gg/j8zV2u8k)
|
||||
|
||||
</div>
|
||||
|
||||
<br>
|
||||
|
||||
---
|
||||
|
||||
<br>
|
||||
|
||||
<div align="center">
|
||||
|
||||
## Citation
|
||||
|
||||
</div>
|
||||
|
||||
<br>
|
||||
|
||||
```bibtex
|
||||
@misc{awa_omg_2026,
|
||||
author = { awa_omg },
|
||||
title = { Yuuki-RxG (Revision 7996797) },
|
||||
year = 2026,
|
||||
url = { https://huggingface.co/OpceanAI/Yuuki-RxG },
|
||||
doi = { 10.57967/hf/8342 },
|
||||
publisher = { Hugging Face }
|
||||
}
|
||||
```
|
||||
|
||||
<br>
|
||||
|
||||
---
|
||||
|
||||
<br>
|
||||
|
||||
<div align="center">
|
||||
|
||||
## License
|
||||
|
||||
</div>
|
||||
|
||||
<br>
|
||||
|
||||
```
|
||||
Apache License 2.0
|
||||
|
||||
Copyright (c) 2026 OpceanAI
|
||||
|
||||
Licensed under the Apache License, Version 2.0 (the "License");
|
||||
you may not use this file except in compliance with the License.
|
||||
You may obtain a copy of the License at
|
||||
|
||||
http://www.apache.org/licenses/LICENSE-2.0
|
||||
|
||||
Unless required by applicable law or agreed to in writing, software
|
||||
distributed under the License is distributed on an "AS IS" BASIS,
|
||||
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
See the License for the specific language governing permissions and
|
||||
limitations under the License.
|
||||
```
|
||||
|
||||
Inherits license terms from [DeepSeek-R1-Distill-Qwen-8B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-8B).
|
||||
|
||||
<br>
|
||||
|
||||
---
|
||||
|
||||
<br>
|
||||
|
||||
<div align="center">
|
||||
|
||||
## Updates
|
||||
|
||||
</div>
|
||||
|
||||
<br>
|
||||
|
||||
| Date | Milestone |
|
||||
|:-----|:----------|
|
||||
| **2026-04-09** | TruthfulQA 96.6% independently verified across three evaluation runs |
|
||||
| **2026-04-09** | AIME 2024: 87.3% — surpasses DeepSeek-R1-8B |
|
||||
| **2026-04-09** | GGUF Q8\_0 export available |
|
||||
| **2026-04-09** | YuuKi RxG 8B v1.0 released on Hugging Face |
|
||||
|
||||
**Last updated:** 2026-04-09
|
||||
|
||||
<br>
|
||||
|
||||
---
|
||||
|
||||
<br>
|
||||
|
||||
<div align="center">
|
||||
|
||||
**8B parameters. The most capable model OpceanAI has released.**<br>
|
||||
**Surpasses its base model. Competitive with systems an order of magnitude larger.**
|
||||
|
||||
<br>
|
||||
|
||||
[](https://huggingface.co/OpceanAI)
|
||||
|
||||
<br>
|
||||
|
||||
*The RxG family. More releases coming.*
|
||||
|
||||
</div>
|
||||
101
chat_template.jinja
Normal file
101
chat_template.jinja
Normal file
@@ -0,0 +1,101 @@
|
||||
{%- if not add_generation_prompt is defined %}
|
||||
{%- set add_generation_prompt = false %}
|
||||
{%- endif %}
|
||||
{%- set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='', is_first_sp=true, is_last_user=false) %}
|
||||
{%- for message in messages %}
|
||||
{%- if message['role'] == 'system' %}
|
||||
{%- if ns.is_first_sp %}
|
||||
{%- set ns.system_prompt = ns.system_prompt + message['content'] %}
|
||||
{%- set ns.is_first_sp = false %}
|
||||
{%- else %}
|
||||
{%- set ns.system_prompt = ns.system_prompt + '\n\n' + message['content'] %}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
|
||||
{#- Adapted from https://github.com/sgl-project/sglang/blob/main/examples/chat_template/tool_chat_template_deepseekr1.jinja #}
|
||||
{%- if tools is defined and tools is not none %}
|
||||
{%- set tool_ns = namespace(text='You are a helpful assistant with tool calling capabilities. ' + 'When a tool call is needed, you MUST use the following format to issue the call:\n' + '<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>function<｜tool▁sep｜>FUNCTION_NAME\n' + '```json\n{"param1": "value1", "param2": "value2"}\n```<｜tool▁call▁end｜><｜tool▁calls▁end｜>\n\n' + 'Make sure the JSON is valid.' + '## Tools\n\n### Function\n\nYou have the following functions available:\n\n') %}
|
||||
{%- for tool in tools %}
|
||||
{%- set tool_ns.text = tool_ns.text + '\n```json\n' + (tool | tojson) + '\n```\n' %}
|
||||
{%- endfor %}
|
||||
{%- if ns.system_prompt|length != 0 %}
|
||||
{%- set ns.system_prompt = ns.system_prompt + '\n\n' + tool_ns.text %}
|
||||
{%- else %}
|
||||
{%- set ns.system_prompt = tool_ns.text %}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{{- bos_token }}
|
||||
{{- ns.system_prompt }}
|
||||
{%- set last_index = (messages|length - 1) %}
|
||||
{%- for message in messages %}
|
||||
{%- set content = message['content'] %}
|
||||
{%- if message['role'] == 'user' %}
|
||||
{%- set ns.is_tool = false -%}
|
||||
{%- set ns.is_first = false -%}
|
||||
{%- set ns.is_last_user = true -%}
|
||||
{%- if loop.index0 == last_index %}
|
||||
{{- '<｜User｜>' + content }}
|
||||
{%- else %}
|
||||
{{- '<｜User｜>' + content + '<｜Assistant｜>'}}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- if message['role'] == 'assistant' %}
|
||||
{%- if '</think>' in content %}
|
||||
{%- set content = (content.split('</think>')|last) %}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- if message['role'] == 'assistant' and message['tool_calls'] is defined and message['tool_calls'] is not none %}
|
||||
{%- set ns.is_last_user = false -%}
|
||||
{%- if ns.is_tool %}
|
||||
{{- '<｜tool▁outputs▁end｜>'}}
|
||||
{%- endif %}
|
||||
{%- set ns.is_first = false %}
|
||||
{%- set ns.is_tool = false -%}
|
||||
{%- set ns.is_output_first = true %}
|
||||
{%- for tool in message['tool_calls'] %}
|
||||
{%- set arguments = tool['function']['arguments'] %}
|
||||
{%- if arguments is not string %}
|
||||
{%- set arguments = arguments|tojson %}
|
||||
{%- endif %}
|
||||
{%- if not ns.is_first %}
|
||||
{%- if content is none %}
|
||||
{{- '<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + arguments + '\n' + '```' + '<｜tool▁call▁end｜>'}}
|
||||
}
|
||||
{%- else %}
|
||||
{{- content + '<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + arguments + '\n' + '```' + '<｜tool▁call▁end｜>'}}
|
||||
{%- endif %}
|
||||
{%- set ns.is_first = true -%}
|
||||
{%- else %}
|
||||
{{- '\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + arguments + '\n' + '```' + '<｜tool▁call▁end｜>'}}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{{- '<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}
|
||||
{%- endif %}
|
||||
{%- if message['role'] == 'assistant' and (message['tool_calls'] is not defined or message['tool_calls'] is none) %}
|
||||
{%- set ns.is_last_user = false -%}
|
||||
{%- if ns.is_tool %}
|
||||
{{- '<｜tool▁outputs▁end｜>' + content + '<｜end▁of▁sentence｜>'}}
|
||||
{%- set ns.is_tool = false -%}
|
||||
{%- else %}
|
||||
{{- content + '<｜end▁of▁sentence｜>'}}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- if message['role'] == 'tool' %}
|
||||
{%- set ns.is_last_user = false -%}
|
||||
{%- set ns.is_tool = true -%}
|
||||
{%- if ns.is_output_first %}
|
||||
{{- '<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + content + '<｜tool▁output▁end｜>'}}
|
||||
{%- set ns.is_output_first = false %}
|
||||
{%- else %}
|
||||
{{- '\n<｜tool▁output▁begin｜>' + content + '<｜tool▁output▁end｜>'}}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- endfor -%}
|
||||
{%- if ns.is_tool %}
|
||||
{{- '<｜tool▁outputs▁end｜>'}}
|
||||
{%- endif %}
|
||||
{#- if add_generation_prompt and not ns.is_last_user and not ns.is_tool #}
|
||||
{%- if add_generation_prompt and not ns.is_tool %}
|
||||
{{- '<｜Assistant｜>'}}
|
||||
{%- endif %}
|
||||
72
config.json
Normal file
72
config.json
Normal file
@@ -0,0 +1,72 @@
|
||||
{
|
||||
"architectures": [
|
||||
"Qwen3ForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 151643,
|
||||
"torch_dtype": "bfloat16",
|
||||
"eos_token_id": 151645,
|
||||
"head_dim": 128,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 4096,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 12288,
|
||||
"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": 131072,
|
||||
"max_window_layers": 36,
|
||||
"model_type": "qwen3",
|
||||
"num_attention_heads": 32,
|
||||
"num_hidden_layers": 36,
|
||||
"num_key_value_heads": 8,
|
||||
"pad_token_id": 151671,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_parameters": {
|
||||
"rope_theta": 1000000,
|
||||
"rope_type": "default"
|
||||
},
|
||||
"sliding_window": null,
|
||||
"tie_word_embeddings": false,
|
||||
"unsloth_fixed": true,
|
||||
"unsloth_version": "2026.3.8",
|
||||
"use_cache": false,
|
||||
"use_sliding_window": false,
|
||||
"vocab_size": 151936
|
||||
}
|
||||
3
model-00001-of-00004.safetensors
Normal file
3
model-00001-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:b42ab9f1c2b0572453abc0f35db7e2cbe5ed05a24e66747c220c0a587bc7e077
|
||||
size 4902257696
|
||||
3
model-00002-of-00004.safetensors
Normal file
3
model-00002-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:e015d2390d5d2803871f2e77f00b8751a4189f435572d9509aafa91543fb40d7
|
||||
size 4915960368
|
||||
3
model-00003-of-00004.safetensors
Normal file
3
model-00003-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:3f4cdfbff80fb51641d010a280c17d32d3b7a6dfe81bd80bd165bc323dbe63de
|
||||
size 4983068496
|
||||
3
model-00004-of-00004.safetensors
Normal file
3
model-00004-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:92c7fdf0ef593f1fbbc42d02828e16023e4d392bbdc5d96a473edf4a47cb963e
|
||||
size 1580230264
|
||||
406
model.safetensors.index.json
Normal file
406
model.safetensors.index.json
Normal file
@@ -0,0 +1,406 @@
|
||||
{
|
||||
"metadata": {
|
||||
"total_size": 16381470720
|
||||
},
|
||||
"weight_map": {
|
||||
"lm_head.weight": "model-00004-of-00004.safetensors",
|
||||
"model.embed_tokens.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
|
||||
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17
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17
tokenizer_config.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user