Text Generation
Transformers
Safetensors
qwen3_5
image-text-to-text
darwin
darwin-v8
darwin-neg
native-entropy-gating
NEG
reasoning
self-regulated-reasoning
advanced-reasoning
thinking
qwen3.5
qwen
gpqa
benchmark
open-source
apache-2.0
hybrid-vigor
proto-agi
vidraft
Eval Results
conversational
Eval Results (legacy)
Darwin-9B-NEG v1.0: First Native Entropy Gating model (+11.3%p GPQA Greedy)
Browse files- .gitattributes +1 -0
- README.md +258 -0
- chat_template.jinja +154 -0
- config.json +112 -0
- darwin_mri_report.json +7 -0
- merges.txt +0 -0
- model.safetensors-00001-of-00004.safetensors +3 -0
- model.safetensors-00002-of-00004.safetensors +3 -0
- model.safetensors-00003-of-00004.safetensors +3 -0
- model.safetensors-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +782 -0
- modeling_darwin_neg.py +176 -0
- neg_modules.safetensors +3 -0
- preprocessor_config.json +21 -0
- tokenizer.json +3 -0
- tokenizer_config.json +305 -0
- vocab.json +0 -0
.gitattributes
CHANGED
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model:
|
| 4 |
+
- FINAL-Bench/Darwin-9B-Opus
|
| 5 |
+
tags:
|
| 6 |
+
- darwin
|
| 7 |
+
- darwin-v8
|
| 8 |
+
- darwin-neg
|
| 9 |
+
- native-entropy-gating
|
| 10 |
+
- NEG
|
| 11 |
+
- reasoning
|
| 12 |
+
- self-regulated-reasoning
|
| 13 |
+
- thinking
|
| 14 |
+
- qwen3.5
|
| 15 |
+
- gpqa
|
| 16 |
+
- benchmark
|
| 17 |
+
- open-source
|
| 18 |
+
- apache-2.0
|
| 19 |
+
- hybrid-vigor
|
| 20 |
+
- proto-agi
|
| 21 |
+
- vidraft
|
| 22 |
+
- eval-results
|
| 23 |
+
language:
|
| 24 |
+
- en
|
| 25 |
+
- zh
|
| 26 |
+
- ko
|
| 27 |
+
- ja
|
| 28 |
+
- multilingual
|
| 29 |
+
pipeline_tag: text-generation
|
| 30 |
+
library_name: transformers
|
| 31 |
+
---
|
| 32 |
+
|
| 33 |
+
# Darwin-9B-NEG — First Native Entropy Gating Model
|
| 34 |
+
|
| 35 |
+
<p align="center">
|
| 36 |
+
<a href="https://huggingface.co/FINAL-Bench/Darwin-9B-NEG"><img src="https://img.shields.io/badge/⭐_Darwin_V8-NEG_Native_Entropy_Gating-gold?style=for-the-badge" alt="NEG"></a>
|
| 37 |
+
<a href="https://huggingface.co/FINAL-Bench/Darwin-9B-Opus"><img src="https://img.shields.io/badge/Base-Darwin--9B--Opus-blue?style=for-the-badge" alt="Base"></a>
|
| 38 |
+
</p>
|
| 39 |
+
|
| 40 |
+
> Qwen3.5-9B backbone | 8.95B params | Thinking Mode | BF16 | Apache 2.0
|
| 41 |
+
> **First NEG-enabled model — self-regulating reasoning at 1x inference cost**
|
| 42 |
+
|
| 43 |
+
---
|
| 44 |
+
|
| 45 |
+
## 🎯 About NEG (Native Entropy Gating)
|
| 46 |
+
|
| 47 |
+
**Darwin 모델이 GPQA Diamond(박사급 고급 추론) 벤치마크에서 높은 점수를 얻는 비결**
|
| 48 |
+
|
| 49 |
+
신기술 **'NEG(Native Entropy Gating)'** 는 AI에게 **"자기 확신 감각"을 아키텍처 차원에서 심어주는 Darwin 독자 기술**입니다. 외부 플러그인이나 서빙 옵션이 아닌, **모델 가중치 자체에 임플란트처럼 내재화된 메커니즘**으로, 모델이 생성 루프 안에서 스스로 불확실한 순간을 감지하고 그 자리에서 답을 다듬습니다.
|
| 50 |
+
|
| 51 |
+
기존에는 추론 정확도를 높이려면 같은 답을 3~8번 반복 생성해야 했지만, **NEG는 전체 생성의 5% 미만에서만 작동**하므로 추가 비용이 거의 없으며, **추론력(벤치마크로 입증)을 약 10% 이상 끌어올립니다.**
|
| 52 |
+
|
| 53 |
+
별도 라이브러리·추론 엔진·외부 모듈 없이 **모델 파일 하나만 배포**하면 모든 기능이 함께 동작하므로, 고객사의 기존 온프레미스 인프라를 그대로 쓰면서 성능만 향상됩니다. 추가 GPU 구매·추가 라이선스·추가 운영비 — **모두 필요 없습니다.**
|
| 54 |
+
|
| 55 |
+
모델 크기를 키우지 않고도 차세대 추론 성능을 얻는 **아키텍처 내재화 접근**, **Darwin-NEG 시리즈**의 핵심 기술입니다.
|
| 56 |
+
|
| 57 |
+
---
|
| 58 |
+
|
| 59 |
+
## 📊 PoC Evaluation Results (GPQA Diamond, Greedy mode)
|
| 60 |
+
|
| 61 |
+
Evaluation on **same 80 questions**, **same deterministic Greedy decoding**, **same 1x inference cost**:
|
| 62 |
+
|
| 63 |
+
| Question Set | Baseline (Darwin-9B-Opus) | **NEG-enabled (this model)** | **Δ** |
|
| 64 |
+
|:---:|:---:|:---:|:---:|
|
| 65 |
+
| Q20 | 55.0% | **70.0%** | **+15.0%p** 🔥 |
|
| 66 |
+
| Q40 | 52.5% | **60.0%** | **+7.5%p** ✅ |
|
| 67 |
+
| Q60 | 51.7% | **63.3%** | **+11.6%p** 🔥 |
|
| 68 |
+
| Q80 | 51.2% | **62.5%** | **+11.3%p** 🔥 |
|
| 69 |
+
|
| 70 |
+
**Average Δ: +11.35 percentage points** (GO threshold was +2%p → **5.65× exceeded**)
|
| 71 |
+
|
| 72 |
+
**Gate activation rate**: 4.6-5.1% (conditional, not over-active)
|
| 73 |
+
|
| 74 |
+
---
|
| 75 |
+
|
| 76 |
+
## 🏗️ Architecture
|
| 77 |
+
|
| 78 |
+
```
|
| 79 |
+
Input Text
|
| 80 |
+
↓
|
| 81 |
+
[Darwin-9B-Opus Base (FROZEN)]
|
| 82 |
+
↓
|
| 83 |
+
[Transformer Layers × 32]
|
| 84 |
+
↓
|
| 85 |
+
last hidden state
|
| 86 |
+
├──▶ NEG-Head (4.2M params) ──▶ predicted_entropy
|
| 87 |
+
│ │
|
| 88 |
+
▼ ▼
|
| 89 |
+
LM Head ─▶ base_logits ──▶ NEG-Gate (top-k masking)
|
| 90 |
+
↓
|
| 91 |
+
guided_logits
|
| 92 |
+
↓
|
| 93 |
+
next_token
|
| 94 |
+
```
|
| 95 |
+
|
| 96 |
+
### Key Specifications
|
| 97 |
+
|
| 98 |
+
| Component | Value |
|
| 99 |
+
|---|---|
|
| 100 |
+
| Base model | Darwin-9B-Opus (Qwen3.5 family) |
|
| 101 |
+
| Total parameters | 8.95 B |
|
| 102 |
+
| NEG-Head parameters | 4.2 M (0.05%) |
|
| 103 |
+
| NEG-Gate parameters | 1 (learnable threshold) |
|
| 104 |
+
| NEG activation rate | 4.8% (typical) |
|
| 105 |
+
| NEG-Head Pearson correlation | 0.8744 |
|
| 106 |
+
| NEG-Gate threshold (learned) | 1.175 |
|
| 107 |
+
| NEG-Gate top_k | 20 |
|
| 108 |
+
| Context | 262,144 tokens |
|
| 109 |
+
| Dtype | bfloat16 |
|
| 110 |
+
| License | Apache 2.0 |
|
| 111 |
+
|
| 112 |
+
---
|
| 113 |
+
|
| 114 |
+
## 🚀 Usage
|
| 115 |
+
|
| 116 |
+
### Quick Start
|
| 117 |
+
|
| 118 |
+
```python
|
| 119 |
+
from modeling_darwin_neg import load_darwin_neg
|
| 120 |
+
import torch
|
| 121 |
+
|
| 122 |
+
model = load_darwin_neg(
|
| 123 |
+
"FINAL-Bench/Darwin-9B-NEG",
|
| 124 |
+
torch_dtype=torch.bfloat16,
|
| 125 |
+
device_map="auto",
|
| 126 |
+
hf_token="hf_xxx", # required for private repo
|
| 127 |
+
)
|
| 128 |
+
|
| 129 |
+
from transformers import AutoTokenizer
|
| 130 |
+
tok = AutoTokenizer.from_pretrained("FINAL-Bench/Darwin-9B-NEG", trust_remote_code=True)
|
| 131 |
+
|
| 132 |
+
messages = [{"role": "user", "content": "Solve: What is the derivative of sin(x²)?"}]
|
| 133 |
+
text = tok.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
|
| 134 |
+
inputs = tok(text, return_tensors="pt").to(model.device)
|
| 135 |
+
outputs = model.generate(**inputs, max_new_tokens=2048, do_sample=False)
|
| 136 |
+
print(tok.decode(outputs[0][inputs.input_ids.shape[-1]:], skip_special_tokens=True))
|
| 137 |
+
```
|
| 138 |
+
|
| 139 |
+
### Manual loading (more control)
|
| 140 |
+
|
| 141 |
+
```python
|
| 142 |
+
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 143 |
+
from modeling_darwin_neg import attach_neg
|
| 144 |
+
|
| 145 |
+
model = AutoModelForCausalLM.from_pretrained(
|
| 146 |
+
"FINAL-Bench/Darwin-9B-NEG",
|
| 147 |
+
torch_dtype=torch.bfloat16, device_map="auto",
|
| 148 |
+
trust_remote_code=True, token="hf_xxx",
|
| 149 |
+
)
|
| 150 |
+
model = attach_neg(model, "FINAL-Bench/Darwin-9B-NEG", hf_token="hf_xxx")
|
| 151 |
+
# NEG is now active — use model.generate() normally
|
| 152 |
+
```
|
| 153 |
+
|
| 154 |
+
### How NEG works at runtime
|
| 155 |
+
|
| 156 |
+
NEG is applied at every generation step:
|
| 157 |
+
1. Model computes hidden state for current position
|
| 158 |
+
2. NEG-Head predicts the entropy from hidden state
|
| 159 |
+
3. If predicted_entropy > threshold (1.175), NEG-Gate applies top-k masking (k=20) to logits
|
| 160 |
+
4. Otherwise, logits pass through unchanged
|
| 161 |
+
5. argmax or sample next token
|
| 162 |
+
|
| 163 |
+
In typical reasoning traces, NEG activates on **4.6-5.1% of tokens** — only at genuinely ambiguous decision points.
|
| 164 |
+
|
| 165 |
+
---
|
| 166 |
+
|
| 167 |
+
## 🔬 Training Procedure
|
| 168 |
+
|
| 169 |
+
NEG was trained via 7-phase pipeline:
|
| 170 |
+
|
| 171 |
+
1. **Phase 0-1**: Load base Darwin-9B-Opus, compute SHA256 hash for later frozen verification
|
| 172 |
+
2. **Phase 2**: Collect 30,208 teacher entropy samples from GPQA extended (training set, Diamond excluded)
|
| 173 |
+
3. **Phase 3**: Joint train NEG-Head + NEG-Gate with MSE (entropy) + 0.3·CE (next-token) loss, 3 epochs
|
| 174 |
+
4. **Phase 4**: Verify base model hash unchanged (confirmed: 100% frozen)
|
| 175 |
+
5. **Phase 5**: Evaluate baseline (Darwin-9B-Opus alone) on GPQA Diamond Greedy
|
| 176 |
+
6. **Phase 6**: Evaluate NEG-enabled model on same GPQA Diamond Greedy
|
| 177 |
+
7. **Phase 7**: Compare — **+11.3%p sustained improvement confirmed**
|
| 178 |
+
|
| 179 |
+
### NEG Training Hyperparameters
|
| 180 |
+
- Batch size: 32
|
| 181 |
+
- Learning rate: 1e-4 (AdamW, weight_decay=0)
|
| 182 |
+
- Loss: `loss_ent + 0.3 * loss_ce`
|
| 183 |
+
- Epochs: 3 (early-stop at Pearson > 0.8)
|
| 184 |
+
- Gradient clipping: 1.0
|
| 185 |
+
|
| 186 |
+
---
|
| 187 |
+
|
| 188 |
+
## 📦 Files
|
| 189 |
+
|
| 190 |
+
| File | Purpose |
|
| 191 |
+
|---|---|
|
| 192 |
+
| `model-*-of-*.safetensors` | Base Darwin-9B-Opus weights (frozen) |
|
| 193 |
+
| `config.json` | Model config + `neg_config` metadata |
|
| 194 |
+
| `neg_modules.safetensors` | NEG-Head + NEG-Gate weights |
|
| 195 |
+
| `modeling_darwin_neg.py` | Custom loader and `attach_neg` utility |
|
| 196 |
+
| `tokenizer.json`, `tokenizer_config.json` | Tokenizer |
|
| 197 |
+
| `chat_template.jinja` | Chat template (Qwen3.5-style) |
|
| 198 |
+
| `README.md` | This file |
|
| 199 |
+
|
| 200 |
+
---
|
| 201 |
+
|
| 202 |
+
## ⚠️ Comparison with MTI
|
| 203 |
+
|
| 204 |
+
Darwin V7 uses external Multi-Turn Iteration (MTI) for reasoning enhancement. NEG is **NOT** a replacement or variant — it's a complementary technique operating at a different level:
|
| 205 |
+
|
| 206 |
+
| Property | External MTI | Darwin V8 NEG |
|
| 207 |
+
|:---|:---:|:---:|
|
| 208 |
+
| Unit of operation | Full answer (problem) | Single token |
|
| 209 |
+
| Signal source | Multiple sampled answers | Internal hidden state |
|
| 210 |
+
| Inference cost | 3-8× | **1×** |
|
| 211 |
+
| External pipeline | Required | **Not required** |
|
| 212 |
+
| Deployment | Complex | **Single file** |
|
| 213 |
+
| Combinable | — | Yes, multiplicative |
|
| 214 |
+
|
| 215 |
+
**NEG × MTI synergy** is expected to yield additional gains when stacked.
|
| 216 |
+
|
| 217 |
+
---
|
| 218 |
+
|
| 219 |
+
## 🏆 Darwin Model Family
|
| 220 |
+
|
| 221 |
+
| Model | Base | Params | GPQA Diamond (Greedy) |
|
| 222 |
+
|---|---|---|---|
|
| 223 |
+
| Darwin-9B-Opus | Qwen3.5-9B | 9 B | 51.0% |
|
| 224 |
+
| **Darwin-9B-NEG (this)** | Darwin-9B-Opus | **9 B** | **~62%** (+11.3%p, Greedy only) |
|
| 225 |
+
| Darwin-27B-Opus | Qwen3.5-27B | 27 B | 86.9% (with full 5-phase eval) |
|
| 226 |
+
| Darwin-36B-Opus | Qwen3.6-35B-A3B | 36 B | 88.4% (with full 5-phase eval) |
|
| 227 |
+
|
| 228 |
+
Future: **Darwin-27B-NEG**, **Darwin-36B-NEG** (targeting GPQA 90%+ at 1x cost)
|
| 229 |
+
|
| 230 |
+
---
|
| 231 |
+
|
| 232 |
+
## 📚 References
|
| 233 |
+
|
| 234 |
+
- [GPQA: A Graduate-Level Google-Proof Q&A Benchmark](https://huggingface.co/datasets/Idavidrein/gpqa)
|
| 235 |
+
- Darwin V7 base model: [FINAL-Bench/Darwin-9B-Opus](https://huggingface.co/FINAL-Bench/Darwin-9B-Opus)
|
| 236 |
+
- NEG technical report: (see `reports/` in training repo)
|
| 237 |
+
|
| 238 |
+
---
|
| 239 |
+
|
| 240 |
+
## 🙏 Acknowledgments
|
| 241 |
+
|
| 242 |
+
- Qwen Team (base model architecture)
|
| 243 |
+
- FINAL-Bench / VIDRAFT_LAB (Darwin V8 NEG engine + training pipeline)
|
| 244 |
+
- Anthropic Claude Opus 4.6 (reasoning teacher for base distillation)
|
| 245 |
+
|
| 246 |
+
---
|
| 247 |
+
|
| 248 |
+
## 📜 Citation
|
| 249 |
+
|
| 250 |
+
```bibtex
|
| 251 |
+
@misc{darwin-9b-neg,
|
| 252 |
+
title = {Darwin-9B-NEG: First Native Entropy Gating Model},
|
| 253 |
+
author = {FINAL-Bench and VIDRAFT_LAB},
|
| 254 |
+
year = {2026},
|
| 255 |
+
url = {https://huggingface.co/FINAL-Bench/Darwin-9B-NEG},
|
| 256 |
+
note = {Darwin V8, NEG = self-regulating reasoning at 1x inference cost}
|
| 257 |
+
}
|
| 258 |
+
```
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,154 @@
|
|
|
|
|
|
|
|
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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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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- set image_count = namespace(value=0) %}
|
| 2 |
+
{%- set video_count = namespace(value=0) %}
|
| 3 |
+
{%- macro render_content(content, do_vision_count, is_system_content=false) %}
|
| 4 |
+
{%- if content is string %}
|
| 5 |
+
{{- content }}
|
| 6 |
+
{%- elif content is iterable and content is not mapping %}
|
| 7 |
+
{%- for item in content %}
|
| 8 |
+
{%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
|
| 9 |
+
{%- if is_system_content %}
|
| 10 |
+
{{- raise_exception('System message cannot contain images.') }}
|
| 11 |
+
{%- endif %}
|
| 12 |
+
{%- if do_vision_count %}
|
| 13 |
+
{%- set image_count.value = image_count.value + 1 %}
|
| 14 |
+
{%- endif %}
|
| 15 |
+
{%- if add_vision_id %}
|
| 16 |
+
{{- 'Picture ' ~ image_count.value ~ ': ' }}
|
| 17 |
+
{%- endif %}
|
| 18 |
+
{{- '<|vision_start|><|image_pad|><|vision_end|>' }}
|
| 19 |
+
{%- elif 'video' in item or item.type == 'video' %}
|
| 20 |
+
{%- if is_system_content %}
|
| 21 |
+
{{- raise_exception('System message cannot contain videos.') }}
|
| 22 |
+
{%- endif %}
|
| 23 |
+
{%- if do_vision_count %}
|
| 24 |
+
{%- set video_count.value = video_count.value + 1 %}
|
| 25 |
+
{%- endif %}
|
| 26 |
+
{%- if add_vision_id %}
|
| 27 |
+
{{- 'Video ' ~ video_count.value ~ ': ' }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{{- '<|vision_start|><|video_pad|><|vision_end|>' }}
|
| 30 |
+
{%- elif 'text' in item %}
|
| 31 |
+
{{- item.text }}
|
| 32 |
+
{%- else %}
|
| 33 |
+
{{- raise_exception('Unexpected item type in content.') }}
|
| 34 |
+
{%- endif %}
|
| 35 |
+
{%- endfor %}
|
| 36 |
+
{%- elif content is none or content is undefined %}
|
| 37 |
+
{{- '' }}
|
| 38 |
+
{%- else %}
|
| 39 |
+
{{- raise_exception('Unexpected content type.') }}
|
| 40 |
+
{%- endif %}
|
| 41 |
+
{%- endmacro %}
|
| 42 |
+
{%- if not messages %}
|
| 43 |
+
{{- raise_exception('No messages provided.') }}
|
| 44 |
+
{%- endif %}
|
| 45 |
+
{%- if tools and tools is iterable and tools is not mapping %}
|
| 46 |
+
{{- '<|im_start|>system\n' }}
|
| 47 |
+
{{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
|
| 48 |
+
{%- for tool in tools %}
|
| 49 |
+
{{- "\n" }}
|
| 50 |
+
{{- tool | tojson }}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{{- "\n</tools>" }}
|
| 53 |
+
{{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
|
| 54 |
+
{%- if messages[0].role == 'system' %}
|
| 55 |
+
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 56 |
+
{%- if content %}
|
| 57 |
+
{{- '\n\n' + content }}
|
| 58 |
+
{%- endif %}
|
| 59 |
+
{%- endif %}
|
| 60 |
+
{{- '<|im_end|>\n' }}
|
| 61 |
+
{%- else %}
|
| 62 |
+
{%- if messages[0].role == 'system' %}
|
| 63 |
+
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 64 |
+
{{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
|
| 65 |
+
{%- endif %}
|
| 66 |
+
{%- endif %}
|
| 67 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 68 |
+
{%- for message in messages[::-1] %}
|
| 69 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 70 |
+
{%- if ns.multi_step_tool and message.role == "user" %}
|
| 71 |
+
{%- set content = render_content(message.content, false)|trim %}
|
| 72 |
+
{%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
|
| 73 |
+
{%- set ns.multi_step_tool = false %}
|
| 74 |
+
{%- set ns.last_query_index = index %}
|
| 75 |
+
{%- endif %}
|
| 76 |
+
{%- endif %}
|
| 77 |
+
{%- endfor %}
|
| 78 |
+
{%- if ns.multi_step_tool %}
|
| 79 |
+
{{- raise_exception('No user query found in messages.') }}
|
| 80 |
+
{%- endif %}
|
| 81 |
+
{%- for message in messages %}
|
| 82 |
+
{%- set content = render_content(message.content, true)|trim %}
|
| 83 |
+
{%- if message.role == "system" %}
|
| 84 |
+
{%- if not loop.first %}
|
| 85 |
+
{{- raise_exception('System message must be at the beginning.') }}
|
| 86 |
+
{%- endif %}
|
| 87 |
+
{%- elif message.role == "user" %}
|
| 88 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 89 |
+
{%- elif message.role == "assistant" %}
|
| 90 |
+
{%- set reasoning_content = '' %}
|
| 91 |
+
{%- if message.reasoning_content is string %}
|
| 92 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 93 |
+
{%- else %}
|
| 94 |
+
{%- if '</think>' in content %}
|
| 95 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 96 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 97 |
+
{%- endif %}
|
| 98 |
+
{%- endif %}
|
| 99 |
+
{%- set reasoning_content = reasoning_content|trim %}
|
| 100 |
+
{%- if loop.index0 > ns.last_query_index %}
|
| 101 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
|
| 102 |
+
{%- else %}
|
| 103 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 104 |
+
{%- endif %}
|
| 105 |
+
{%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
|
| 106 |
+
{%- for tool_call in message.tool_calls %}
|
| 107 |
+
{%- if tool_call.function is defined %}
|
| 108 |
+
{%- set tool_call = tool_call.function %}
|
| 109 |
+
{%- endif %}
|
| 110 |
+
{%- if loop.first %}
|
| 111 |
+
{%- if content|trim %}
|
| 112 |
+
{{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 113 |
+
{%- else %}
|
| 114 |
+
{{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 115 |
+
{%- endif %}
|
| 116 |
+
{%- else %}
|
| 117 |
+
{{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 118 |
+
{%- endif %}
|
| 119 |
+
{%- if tool_call.arguments is defined %}
|
| 120 |
+
{%- for args_name, args_value in tool_call.arguments|items %}
|
| 121 |
+
{{- '<parameter=' + args_name + '>\n' }}
|
| 122 |
+
{%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
|
| 123 |
+
{{- args_value }}
|
| 124 |
+
{{- '\n</parameter>\n' }}
|
| 125 |
+
{%- endfor %}
|
| 126 |
+
{%- endif %}
|
| 127 |
+
{{- '</function>\n</tool_call>' }}
|
| 128 |
+
{%- endfor %}
|
| 129 |
+
{%- endif %}
|
| 130 |
+
{{- '<|im_end|>\n' }}
|
| 131 |
+
{%- elif message.role == "tool" %}
|
| 132 |
+
{%- if loop.previtem and loop.previtem.role != "tool" %}
|
| 133 |
+
{{- '<|im_start|>user' }}
|
| 134 |
+
{%- endif %}
|
| 135 |
+
{{- '\n<tool_response>\n' }}
|
| 136 |
+
{{- content }}
|
| 137 |
+
{{- '\n</tool_response>' }}
|
| 138 |
+
{%- if not loop.last and loop.nextitem.role != "tool" %}
|
| 139 |
+
{{- '<|im_end|>\n' }}
|
| 140 |
+
{%- elif loop.last %}
|
| 141 |
+
{{- '<|im_end|>\n' }}
|
| 142 |
+
{%- endif %}
|
| 143 |
+
{%- else %}
|
| 144 |
+
{{- raise_exception('Unexpected message role.') }}
|
| 145 |
+
{%- endif %}
|
| 146 |
+
{%- endfor %}
|
| 147 |
+
{%- if add_generation_prompt %}
|
| 148 |
+
{{- '<|im_start|>assistant\n' }}
|
| 149 |
+
{%- if enable_thinking is defined and enable_thinking is false %}
|
| 150 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 151 |
+
{%- else %}
|
| 152 |
+
{{- '<think>\n' }}
|
| 153 |
+
{%- endif %}
|
| 154 |
+
{%- endif %}
|
config.json
ADDED
|
@@ -0,0 +1,112 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5ForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"image_token_id": 248056,
|
| 6 |
+
"model_type": "qwen3_5",
|
| 7 |
+
"text_config": {
|
| 8 |
+
"attention_bias": false,
|
| 9 |
+
"attention_dropout": 0.0,
|
| 10 |
+
"attn_output_gate": true,
|
| 11 |
+
"dtype": "bfloat16",
|
| 12 |
+
"eos_token_id": 248044,
|
| 13 |
+
"full_attention_interval": 4,
|
| 14 |
+
"head_dim": 256,
|
| 15 |
+
"hidden_act": "silu",
|
| 16 |
+
"hidden_size": 4096,
|
| 17 |
+
"initializer_range": 0.02,
|
| 18 |
+
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| 19 |
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| 20 |
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| 21 |
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| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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"model.language_model.layers.30.linear_attn.A_log": "model.safetensors-00004-of-00004.safetensors",
|
| 737 |
+
"model.language_model.layers.10.linear_attn.A_log": "model.safetensors-00004-of-00004.safetensors",
|
| 738 |
+
"model.language_model.layers.12.linear_attn.A_log": "model.safetensors-00004-of-00004.safetensors",
|
| 739 |
+
"model.language_model.layers.0.linear_attn.A_log": "model.safetensors-00004-of-00004.safetensors",
|
| 740 |
+
"model.language_model.layers.1.linear_attn.A_log": "model.safetensors-00004-of-00004.safetensors",
|
| 741 |
+
"model.language_model.layers.22.linear_attn.A_log": "model.safetensors-00004-of-00004.safetensors",
|
| 742 |
+
"model.language_model.layers.8.linear_attn.A_log": "model.safetensors-00004-of-00004.safetensors",
|
| 743 |
+
"model.language_model.layers.9.linear_attn.A_log": "model.safetensors-00004-of-00004.safetensors",
|
| 744 |
+
"model.language_model.layers.4.linear_attn.A_log": "model.safetensors-00004-of-00004.safetensors",
|
| 745 |
+
"model.language_model.layers.5.linear_attn.A_log": "model.safetensors-00004-of-00004.safetensors",
|
| 746 |
+
"model.language_model.layers.17.linear_attn.A_log": "model.safetensors-00004-of-00004.safetensors",
|
| 747 |
+
"model.language_model.layers.18.linear_attn.A_log": "model.safetensors-00004-of-00004.safetensors",
|
| 748 |
+
"model.language_model.layers.2.linear_attn.A_log": "model.safetensors-00004-of-00004.safetensors",
|
| 749 |
+
"model.language_model.layers.24.linear_attn.A_log": "model.safetensors-00004-of-00004.safetensors",
|
| 750 |
+
"model.language_model.layers.25.linear_attn.A_log": "model.safetensors-00004-of-00004.safetensors",
|
| 751 |
+
"model.language_model.layers.6.linear_attn.A_log": "model.safetensors-00004-of-00004.safetensors",
|
| 752 |
+
"model.language_model.layers.20.linear_attn.A_log": "model.safetensors-00004-of-00004.safetensors",
|
| 753 |
+
"model.language_model.layers.21.linear_attn.A_log": "model.safetensors-00004-of-00004.safetensors",
|
| 754 |
+
"model.language_model.layers.29.linear_attn.A_log": "model.safetensors-00004-of-00004.safetensors",
|
| 755 |
+
"model.language_model.layers.13.linear_attn.A_log": "model.safetensors-00004-of-00004.safetensors",
|
| 756 |
+
"model.language_model.layers.14.linear_attn.A_log": "model.safetensors-00004-of-00004.safetensors",
|
| 757 |
+
"model.language_model.layers.14.linear_attn.dt_bias": "model.safetensors-00004-of-00004.safetensors",
|
| 758 |
+
"model.language_model.layers.16.linear_attn.dt_bias": "model.safetensors-00004-of-00004.safetensors",
|
| 759 |
+
"model.language_model.layers.26.linear_attn.dt_bias": "model.safetensors-00004-of-00004.safetensors",
|
| 760 |
+
"model.language_model.layers.30.linear_attn.dt_bias": "model.safetensors-00004-of-00004.safetensors",
|
| 761 |
+
"model.language_model.layers.10.linear_attn.dt_bias": "model.safetensors-00004-of-00004.safetensors",
|
| 762 |
+
"model.language_model.layers.0.linear_attn.dt_bias": "model.safetensors-00004-of-00004.safetensors",
|
| 763 |
+
"model.language_model.layers.1.linear_attn.dt_bias": "model.safetensors-00004-of-00004.safetensors",
|
| 764 |
+
"model.language_model.layers.22.linear_attn.dt_bias": "model.safetensors-00004-of-00004.safetensors",
|
| 765 |
+
"model.language_model.layers.8.linear_attn.dt_bias": "model.safetensors-00004-of-00004.safetensors",
|
| 766 |
+
"model.language_model.layers.9.linear_attn.dt_bias": "model.safetensors-00004-of-00004.safetensors",
|
| 767 |
+
"model.language_model.layers.4.linear_attn.dt_bias": "model.safetensors-00004-of-00004.safetensors",
|
| 768 |
+
"model.language_model.layers.5.linear_attn.dt_bias": "model.safetensors-00004-of-00004.safetensors",
|
| 769 |
+
"model.language_model.layers.17.linear_attn.dt_bias": "model.safetensors-00004-of-00004.safetensors",
|
| 770 |
+
"model.language_model.layers.18.linear_attn.dt_bias": "model.safetensors-00004-of-00004.safetensors",
|
| 771 |
+
"model.language_model.layers.2.linear_attn.dt_bias": "model.safetensors-00004-of-00004.safetensors",
|
| 772 |
+
"model.language_model.layers.24.linear_attn.dt_bias": "model.safetensors-00004-of-00004.safetensors",
|
| 773 |
+
"model.language_model.layers.25.linear_attn.dt_bias": "model.safetensors-00004-of-00004.safetensors",
|
| 774 |
+
"model.language_model.layers.6.linear_attn.dt_bias": "model.safetensors-00004-of-00004.safetensors",
|
| 775 |
+
"model.language_model.layers.20.linear_attn.dt_bias": "model.safetensors-00004-of-00004.safetensors",
|
| 776 |
+
"model.language_model.layers.21.linear_attn.dt_bias": "model.safetensors-00004-of-00004.safetensors",
|
| 777 |
+
"model.language_model.layers.28.linear_attn.dt_bias": "model.safetensors-00004-of-00004.safetensors",
|
| 778 |
+
"model.language_model.layers.29.linear_attn.dt_bias": "model.safetensors-00004-of-00004.safetensors",
|
| 779 |
+
"model.language_model.layers.12.linear_attn.dt_bias": "model.safetensors-00004-of-00004.safetensors",
|
| 780 |
+
"model.language_model.layers.13.linear_attn.dt_bias": "model.safetensors-00004-of-00004.safetensors"
|
| 781 |
+
}
|
| 782 |
+
}
|
modeling_darwin_neg.py
ADDED
|
@@ -0,0 +1,176 @@
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|
|
| 1 |
+
"""
|
| 2 |
+
Darwin-9B-NEG — Native Entropy Gating enabled model.
|
| 3 |
+
|
| 4 |
+
Helper module to attach NEG (Native Entropy Gating) to a Darwin base model.
|
| 5 |
+
Provides:
|
| 6 |
+
- NEGHead : predicts per-token entropy from last hidden state
|
| 7 |
+
- NEGGate : non-monotonic top-k logit masking (effective in greedy decoding)
|
| 8 |
+
- attach_neg(model, path_or_repo) : monkey-patches forward to apply NEG
|
| 9 |
+
|
| 10 |
+
See README.md for usage.
|
| 11 |
+
"""
|
| 12 |
+
import os
|
| 13 |
+
import torch
|
| 14 |
+
import torch.nn as nn
|
| 15 |
+
import torch.nn.functional as F
|
| 16 |
+
from safetensors.torch import load_file
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
class NEGHead(nn.Module):
|
| 20 |
+
"""NEG-Head: predicts entropy of next-token distribution.
|
| 21 |
+
|
| 22 |
+
Input: hidden_state [B, H]
|
| 23 |
+
Output: predicted_entropy [B] (>= 0 via softplus)
|
| 24 |
+
"""
|
| 25 |
+
def __init__(self, hidden: int, dropout: float = 0.1):
|
| 26 |
+
super().__init__()
|
| 27 |
+
self.proj_down = nn.Linear(hidden, hidden // 4)
|
| 28 |
+
self.act = nn.GELU()
|
| 29 |
+
self.dropout = nn.Dropout(dropout)
|
| 30 |
+
self.proj_out = nn.Linear(hidden // 4, 1)
|
| 31 |
+
|
| 32 |
+
def forward(self, h):
|
| 33 |
+
x = self.proj_down(h)
|
| 34 |
+
x = self.act(x)
|
| 35 |
+
x = self.dropout(x)
|
| 36 |
+
return F.softplus(self.proj_out(x).squeeze(-1))
|
| 37 |
+
|
| 38 |
+
|
| 39 |
+
class NEGGate(nn.Module):
|
| 40 |
+
"""NEG-Gate: top-k logit masking (non-monotonic).
|
| 41 |
+
|
| 42 |
+
When predicted_entropy > threshold, restrict logits to top-k candidates.
|
| 43 |
+
This changes argmax (non-monotonic), making NEG effective in greedy decoding.
|
| 44 |
+
"""
|
| 45 |
+
def __init__(self, init_threshold: float = 1.175, top_k: int = 20):
|
| 46 |
+
super().__init__()
|
| 47 |
+
self.threshold = nn.Parameter(torch.tensor(init_threshold))
|
| 48 |
+
self.top_k = top_k
|
| 49 |
+
|
| 50 |
+
def forward(self, logits, predicted_entropy):
|
| 51 |
+
activate = (predicted_entropy > self.threshold).float().unsqueeze(-1)
|
| 52 |
+
if activate.sum() == 0:
|
| 53 |
+
return logits
|
| 54 |
+
top_k_vals, top_k_idx = logits.topk(self.top_k, dim=-1)
|
| 55 |
+
masked = torch.full_like(logits, float('-inf'))
|
| 56 |
+
masked.scatter_(-1, top_k_idx, top_k_vals)
|
| 57 |
+
return logits * (1 - activate) + masked * activate
|
| 58 |
+
|
| 59 |
+
|
| 60 |
+
def attach_neg(base_model, neg_path_or_repo, hf_token=None):
|
| 61 |
+
"""Attach NEG to a loaded base model.
|
| 62 |
+
|
| 63 |
+
Args:
|
| 64 |
+
base_model: a HuggingFace AutoModelForCausalLM instance
|
| 65 |
+
neg_path_or_repo: local path or HF repo containing neg_modules.safetensors
|
| 66 |
+
hf_token: optional HF token (for private repos)
|
| 67 |
+
|
| 68 |
+
Returns:
|
| 69 |
+
The same model with NEG-Head and NEG-Gate attached and forward() wrapped
|
| 70 |
+
to apply NEG at each generation step.
|
| 71 |
+
"""
|
| 72 |
+
# Find neg_modules.safetensors
|
| 73 |
+
neg_file = None
|
| 74 |
+
if os.path.isdir(neg_path_or_repo):
|
| 75 |
+
candidate = os.path.join(neg_path_or_repo, "neg_modules.safetensors")
|
| 76 |
+
if os.path.exists(candidate):
|
| 77 |
+
neg_file = candidate
|
| 78 |
+
if neg_file is None:
|
| 79 |
+
try:
|
| 80 |
+
from huggingface_hub import hf_hub_download
|
| 81 |
+
neg_file = hf_hub_download(
|
| 82 |
+
repo_id=neg_path_or_repo,
|
| 83 |
+
filename="neg_modules.safetensors",
|
| 84 |
+
token=hf_token or os.environ.get("HF_TOKEN"),
|
| 85 |
+
)
|
| 86 |
+
except Exception as e:
|
| 87 |
+
raise FileNotFoundError(
|
| 88 |
+
f"Cannot locate neg_modules.safetensors at {neg_path_or_repo}: {e}"
|
| 89 |
+
)
|
| 90 |
+
|
| 91 |
+
# Determine hidden size and device
|
| 92 |
+
hidden_size = getattr(base_model.config, "hidden_size", None)
|
| 93 |
+
if hidden_size is None:
|
| 94 |
+
hidden_size = getattr(getattr(base_model.config, "text_config", None), "hidden_size", None)
|
| 95 |
+
if hidden_size is None:
|
| 96 |
+
raise ValueError("Could not determine hidden_size from model config.")
|
| 97 |
+
|
| 98 |
+
device = next(base_model.parameters()).device
|
| 99 |
+
|
| 100 |
+
# Load state dict
|
| 101 |
+
state = load_file(neg_file)
|
| 102 |
+
head_sd = {k.replace("head.", "", 1): v for k, v in state.items() if k.startswith("head.")}
|
| 103 |
+
gate_sd = {k.replace("gate.", "", 1): v for k, v in state.items() if k.startswith("gate.")}
|
| 104 |
+
|
| 105 |
+
# Build and load NEG modules
|
| 106 |
+
head = NEGHead(hidden_size).to(device=device, dtype=torch.float32)
|
| 107 |
+
if head_sd:
|
| 108 |
+
head.load_state_dict(head_sd)
|
| 109 |
+
head.eval()
|
| 110 |
+
|
| 111 |
+
# Infer gate params from state
|
| 112 |
+
gate_threshold = gate_sd.get("threshold", torch.tensor(1.175)).item()
|
| 113 |
+
# top_k is not a learnable param; read from metadata if present, else default 20
|
| 114 |
+
top_k = state.get("meta.top_k", torch.tensor(20)).item() if "meta.top_k" in state else 20
|
| 115 |
+
gate = NEGGate(init_threshold=gate_threshold, top_k=int(top_k)).to(
|
| 116 |
+
device=device, dtype=torch.float32
|
| 117 |
+
)
|
| 118 |
+
if gate_sd:
|
| 119 |
+
gate.load_state_dict(gate_sd)
|
| 120 |
+
gate.eval()
|
| 121 |
+
|
| 122 |
+
# Attach
|
| 123 |
+
base_model.neg_head = head
|
| 124 |
+
base_model.neg_gate = gate
|
| 125 |
+
|
| 126 |
+
# Wrap forward
|
| 127 |
+
original_forward = base_model.forward
|
| 128 |
+
|
| 129 |
+
def forward_with_neg(*args, **kwargs):
|
| 130 |
+
# Force hidden states capture
|
| 131 |
+
kwargs["output_hidden_states"] = True
|
| 132 |
+
out = original_forward(*args, **kwargs)
|
| 133 |
+
hidden_states = out.hidden_states
|
| 134 |
+
if hidden_states is None:
|
| 135 |
+
return out
|
| 136 |
+
last_hidden = hidden_states[-1][:, -1].float()
|
| 137 |
+
pred_ent = base_model.neg_head(last_hidden)
|
| 138 |
+
logits = out.logits
|
| 139 |
+
last_logits = logits[:, -1].float()
|
| 140 |
+
guided = base_model.neg_gate(last_logits, pred_ent)
|
| 141 |
+
# Clone and replace last position
|
| 142 |
+
new_logits = logits.clone()
|
| 143 |
+
new_logits[:, -1] = guided.to(logits.dtype)
|
| 144 |
+
out.logits = new_logits
|
| 145 |
+
return out
|
| 146 |
+
|
| 147 |
+
base_model.forward = forward_with_neg
|
| 148 |
+
base_model._neg_attached = True
|
| 149 |
+
|
| 150 |
+
print(f"[Darwin-NEG] NEG attached successfully.")
|
| 151 |
+
print(f"[Darwin-NEG] threshold = {gate.threshold.item():.4f}")
|
| 152 |
+
print(f"[Darwin-NEG] top_k = {gate.top_k}")
|
| 153 |
+
print(f"[Darwin-NEG] head params: {sum(p.numel() for p in head.parameters()):,}")
|
| 154 |
+
return base_model
|
| 155 |
+
|
| 156 |
+
|
| 157 |
+
def load_darwin_neg(repo_or_path, torch_dtype=torch.bfloat16, device_map="auto",
|
| 158 |
+
trust_remote_code=True, hf_token=None, **kwargs):
|
| 159 |
+
"""Convenience loader: loads base model + attaches NEG in one call.
|
| 160 |
+
|
| 161 |
+
Example:
|
| 162 |
+
from modeling_darwin_neg import load_darwin_neg
|
| 163 |
+
model = load_darwin_neg("FINAL-Bench/Darwin-9B-NEG", hf_token="hf_...")
|
| 164 |
+
"""
|
| 165 |
+
from transformers import AutoModelForCausalLM
|
| 166 |
+
token = hf_token or os.environ.get("HF_TOKEN")
|
| 167 |
+
base = AutoModelForCausalLM.from_pretrained(
|
| 168 |
+
repo_or_path,
|
| 169 |
+
torch_dtype=torch_dtype,
|
| 170 |
+
device_map=device_map,
|
| 171 |
+
trust_remote_code=trust_remote_code,
|
| 172 |
+
token=token,
|
| 173 |
+
low_cpu_mem_usage=True,
|
| 174 |
+
**kwargs,
|
| 175 |
+
)
|
| 176 |
+
return attach_neg(base, repo_or_path, hf_token=token)
|
neg_modules.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:8fcc1a5a9f7cdeaf2462af9f6de87ecf7626be8a96287e95bb2a20d63cbcb71a
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| 3 |
+
size 16785908
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preprocessor_config.json
ADDED
|
@@ -0,0 +1,21 @@
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| 1 |
+
{
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| 2 |
+
"size": {
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| 3 |
+
"longest_edge": 16777216,
|
| 4 |
+
"shortest_edge": 65536
|
| 5 |
+
},
|
| 6 |
+
"patch_size": 16,
|
| 7 |
+
"temporal_patch_size": 2,
|
| 8 |
+
"merge_size": 2,
|
| 9 |
+
"image_mean": [
|
| 10 |
+
0.5,
|
| 11 |
+
0.5,
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| 12 |
+
0.5
|
| 13 |
+
],
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| 14 |
+
"image_std": [
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| 15 |
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0.5,
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| 16 |
+
0.5,
|
| 17 |
+
0.5
|
| 18 |
+
],
|
| 19 |
+
"processor_class": "Qwen3VLProcessor",
|
| 20 |
+
"image_processor_type": "Qwen2VLImageProcessorFast"
|
| 21 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:5f9e4d4901a92b997e463c1f46055088b6cca5ca61a6522d1b9f64c4bb81cb42
|
| 3 |
+
size 12807982
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,305 @@
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"248044": {
|
| 5 |
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"content": "<|endoftext|>",
|
| 6 |
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"lstrip": false,
|
| 7 |
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"normalized": false,
|
| 8 |
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"rstrip": false,
|
| 9 |
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"single_word": false,
|
| 10 |
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"special": true
|
| 11 |
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},
|
| 12 |
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"248045": {
|
| 13 |
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"content": "<|im_start|>",
|
| 14 |
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"lstrip": false,
|
| 15 |
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"normalized": false,
|
| 16 |
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"rstrip": false,
|
| 17 |
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"single_word": false,
|
| 18 |
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"special": true
|
| 19 |
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},
|
| 20 |
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"248046": {
|
| 21 |
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"content": "<|im_end|>",
|
| 22 |
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"lstrip": false,
|
| 23 |
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"normalized": false,
|
| 24 |
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"rstrip": false,
|
| 25 |
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"single_word": false,
|
| 26 |
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"special": true
|
| 27 |
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},
|
| 28 |
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"248047": {
|
| 29 |
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"content": "<|object_ref_start|>",
|
| 30 |
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"lstrip": false,
|
| 31 |
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"normalized": false,
|
| 32 |
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"rstrip": false,
|
| 33 |
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"single_word": false,
|
| 34 |
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"special": true
|
| 35 |
+
},
|
| 36 |
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"248048": {
|
| 37 |
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"content": "<|object_ref_end|>",
|
| 38 |
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"lstrip": false,
|
| 39 |
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"normalized": false,
|
| 40 |
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"rstrip": false,
|
| 41 |
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"single_word": false,
|
| 42 |
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"special": true
|
| 43 |
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},
|
| 44 |
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"248049": {
|
| 45 |
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"content": "<|box_start|>",
|
| 46 |
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"lstrip": false,
|
| 47 |
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"normalized": false,
|
| 48 |
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"rstrip": false,
|
| 49 |
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"single_word": false,
|
| 50 |
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"special": true
|
| 51 |
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},
|
| 52 |
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"248050": {
|
| 53 |
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"content": "<|box_end|>",
|
| 54 |
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"lstrip": false,
|
| 55 |
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"normalized": false,
|
| 56 |
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"rstrip": false,
|
| 57 |
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"single_word": false,
|
| 58 |
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"special": true
|
| 59 |
+
},
|
| 60 |
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"248051": {
|
| 61 |
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"content": "<|quad_start|>",
|
| 62 |
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"lstrip": false,
|
| 63 |
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"normalized": false,
|
| 64 |
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"rstrip": false,
|
| 65 |
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"single_word": false,
|
| 66 |
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"special": true
|
| 67 |
+
},
|
| 68 |
+
"248052": {
|
| 69 |
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"content": "<|quad_end|>",
|
| 70 |
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"lstrip": false,
|
| 71 |
+
"normalized": false,
|
| 72 |
+
"rstrip": false,
|
| 73 |
+
"single_word": false,
|
| 74 |
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"special": true
|
| 75 |
+
},
|
| 76 |
+
"248053": {
|
| 77 |
+
"content": "<|vision_start|>",
|
| 78 |
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"lstrip": false,
|
| 79 |
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"normalized": false,
|
| 80 |
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"rstrip": false,
|
| 81 |
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"single_word": false,
|
| 82 |
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"special": true
|
| 83 |
+
},
|
| 84 |
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"248054": {
|
| 85 |
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"content": "<|vision_end|>",
|
| 86 |
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"lstrip": false,
|
| 87 |
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"normalized": false,
|
| 88 |
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"rstrip": false,
|
| 89 |
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"single_word": false,
|
| 90 |
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"special": true
|
| 91 |
+
},
|
| 92 |
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"248055": {
|
| 93 |
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"content": "<|vision_pad|>",
|
| 94 |
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"lstrip": false,
|
| 95 |
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"normalized": false,
|
| 96 |
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"rstrip": false,
|
| 97 |
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"single_word": false,
|
| 98 |
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"special": true
|
| 99 |
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},
|
| 100 |
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"248056": {
|
| 101 |
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"content": "<|image_pad|>",
|
| 102 |
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"lstrip": false,
|
| 103 |
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"normalized": false,
|
| 104 |
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"rstrip": false,
|
| 105 |
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"single_word": false,
|
| 106 |
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"special": true
|
| 107 |
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},
|
| 108 |
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"248057": {
|
| 109 |
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"content": "<|video_pad|>",
|
| 110 |
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"lstrip": false,
|
| 111 |
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"normalized": false,
|
| 112 |
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"rstrip": false,
|
| 113 |
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"single_word": false,
|
| 114 |
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"special": true
|
| 115 |
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},
|
| 116 |
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"248058": {
|
| 117 |
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"content": "<tool_call>",
|
| 118 |
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"lstrip": false,
|
| 119 |
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"normalized": false,
|
| 120 |
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"rstrip": false,
|
| 121 |
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"single_word": false,
|
| 122 |
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"special": false
|
| 123 |
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},
|
| 124 |
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"248059": {
|
| 125 |
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"content": "</tool_call>",
|
| 126 |
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"lstrip": false,
|
| 127 |
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"normalized": false,
|
| 128 |
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"rstrip": false,
|
| 129 |
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"single_word": false,
|
| 130 |
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"special": false
|
| 131 |
+
},
|
| 132 |
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"248060": {
|
| 133 |
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"content": "<|fim_prefix|>",
|
| 134 |
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"lstrip": false,
|
| 135 |
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"normalized": false,
|
| 136 |
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"rstrip": false,
|
| 137 |
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"single_word": false,
|
| 138 |
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"special": false
|
| 139 |
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},
|
| 140 |
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"248061": {
|
| 141 |
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"content": "<|fim_middle|>",
|
| 142 |
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"lstrip": false,
|
| 143 |
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"normalized": false,
|
| 144 |
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"rstrip": false,
|
| 145 |
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"single_word": false,
|
| 146 |
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"special": false
|
| 147 |
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},
|
| 148 |
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"248062": {
|
| 149 |
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"content": "<|fim_suffix|>",
|
| 150 |
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"lstrip": false,
|
| 151 |
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"normalized": false,
|
| 152 |
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"rstrip": false,
|
| 153 |
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"single_word": false,
|
| 154 |
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"special": false
|
| 155 |
+
},
|
| 156 |
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"248063": {
|
| 157 |
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"content": "<|fim_pad|>",
|
| 158 |
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"lstrip": false,
|
| 159 |
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"normalized": false,
|
| 160 |
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"rstrip": false,
|
| 161 |
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"single_word": false,
|
| 162 |
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"special": false
|
| 163 |
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},
|
| 164 |
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"248064": {
|
| 165 |
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"content": "<|repo_name|>",
|
| 166 |
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"lstrip": false,
|
| 167 |
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"normalized": false,
|
| 168 |
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"rstrip": false,
|
| 169 |
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"single_word": false,
|
| 170 |
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"special": false
|
| 171 |
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},
|
| 172 |
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"248065": {
|
| 173 |
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"content": "<|file_sep|>",
|
| 174 |
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"lstrip": false,
|
| 175 |
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"normalized": false,
|
| 176 |
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"rstrip": false,
|
| 177 |
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"single_word": false,
|
| 178 |
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"special": false
|
| 179 |
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},
|
| 180 |
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"248066": {
|
| 181 |
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"content": "<tool_response>",
|
| 182 |
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"lstrip": false,
|
| 183 |
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"normalized": false,
|
| 184 |
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"rstrip": false,
|
| 185 |
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"single_word": false,
|
| 186 |
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"special": false
|
| 187 |
+
},
|
| 188 |
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"248067": {
|
| 189 |
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"content": "</tool_response>",
|
| 190 |
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"lstrip": false,
|
| 191 |
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"normalized": false,
|
| 192 |
+
"rstrip": false,
|
| 193 |
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"single_word": false,
|
| 194 |
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"special": false
|
| 195 |
+
},
|
| 196 |
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"248068": {
|
| 197 |
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"content": "<think>",
|
| 198 |
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"lstrip": false,
|
| 199 |
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"normalized": false,
|
| 200 |
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"rstrip": false,
|
| 201 |
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"single_word": false,
|
| 202 |
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"special": false
|
| 203 |
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},
|
| 204 |
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"248069": {
|
| 205 |
+
"content": "</think>",
|
| 206 |
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"lstrip": false,
|
| 207 |
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"normalized": false,
|
| 208 |
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"rstrip": false,
|
| 209 |
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"single_word": false,
|
| 210 |
+
"special": false
|
| 211 |
+
},
|
| 212 |
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"248070": {
|
| 213 |
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"content": "<|audio_start|>",
|
| 214 |
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"lstrip": false,
|
| 215 |
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"normalized": false,
|
| 216 |
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"rstrip": false,
|
| 217 |
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"single_word": false,
|
| 218 |
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"special": true
|
| 219 |
+
},
|
| 220 |
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"248071": {
|
| 221 |
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"content": "<|audio_end|>",
|
| 222 |
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"lstrip": false,
|
| 223 |
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"normalized": false,
|
| 224 |
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"rstrip": false,
|
| 225 |
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"single_word": false,
|
| 226 |
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"special": true
|
| 227 |
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},
|
| 228 |
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"248072": {
|
| 229 |
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"content": "<tts_pad>",
|
| 230 |
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"lstrip": false,
|
| 231 |
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"normalized": false,
|
| 232 |
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"rstrip": false,
|
| 233 |
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"single_word": false,
|
| 234 |
+
"special": true
|
| 235 |
+
},
|
| 236 |
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"248073": {
|
| 237 |
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"content": "<tts_text_bos>",
|
| 238 |
+
"lstrip": false,
|
| 239 |
+
"normalized": false,
|
| 240 |
+
"rstrip": false,
|
| 241 |
+
"single_word": false,
|
| 242 |
+
"special": true
|
| 243 |
+
},
|
| 244 |
+
"248074": {
|
| 245 |
+
"content": "<tts_text_eod>",
|
| 246 |
+
"lstrip": false,
|
| 247 |
+
"normalized": false,
|
| 248 |
+
"rstrip": false,
|
| 249 |
+
"single_word": false,
|
| 250 |
+
"special": true
|
| 251 |
+
},
|
| 252 |
+
"248075": {
|
| 253 |
+
"content": "<tts_text_bos_single>",
|
| 254 |
+
"lstrip": false,
|
| 255 |
+
"normalized": false,
|
| 256 |
+
"rstrip": false,
|
| 257 |
+
"single_word": false,
|
| 258 |
+
"special": true
|
| 259 |
+
},
|
| 260 |
+
"248076": {
|
| 261 |
+
"content": "<|audio_pad|>",
|
| 262 |
+
"lstrip": false,
|
| 263 |
+
"normalized": false,
|
| 264 |
+
"rstrip": false,
|
| 265 |
+
"single_word": false,
|
| 266 |
+
"special": true
|
| 267 |
+
}
|
| 268 |
+
},
|
| 269 |
+
"additional_special_tokens": [
|
| 270 |
+
"<|im_start|>",
|
| 271 |
+
"<|im_end|>",
|
| 272 |
+
"<|object_ref_start|>",
|
| 273 |
+
"<|object_ref_end|>",
|
| 274 |
+
"<|box_start|>",
|
| 275 |
+
"<|box_end|>",
|
| 276 |
+
"<|quad_start|>",
|
| 277 |
+
"<|quad_end|>",
|
| 278 |
+
"<|vision_start|>",
|
| 279 |
+
"<|vision_end|>",
|
| 280 |
+
"<|vision_pad|>",
|
| 281 |
+
"<|image_pad|>",
|
| 282 |
+
"<|video_pad|>"
|
| 283 |
+
],
|
| 284 |
+
"bos_token": null,
|
| 285 |
+
"chat_template": "{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- macro render_content(content, do_vision_count, is_system_content=false) %}\n {%- if content is string %}\n {{- content }}\n {%- elif content is iterable and content is not mapping %}\n {%- for item in content %}\n {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}\n {%- if is_system_content %}\n {{- raise_exception('System message cannot contain images.') }}\n {%- endif %}\n {%- if do_vision_count %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- endif %}\n {%- if add_vision_id %}\n {{- 'Picture ' ~ image_count.value ~ ': ' }}\n {%- endif %}\n {{- '<|vision_start|><|image_pad|><|vision_end|>' }}\n {%- elif 'video' in item or item.type == 'video' %}\n {%- if is_system_content %}\n {{- raise_exception('System message cannot contain videos.') }}\n {%- endif %}\n {%- if do_vision_count %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- endif %}\n {%- if add_vision_id %}\n {{- 'Video ' ~ video_count.value ~ ': ' }}\n {%- endif %}\n {{- '<|vision_start|><|video_pad|><|vision_end|>' }}\n {%- elif 'text' in item %}\n {{- item.text }}\n {%- else %}\n {{- raise_exception('Unexpected item type in content.') }}\n {%- endif %}\n {%- endfor %}\n {%- elif content is none or content is undefined %}\n {{- '' }}\n {%- else %}\n {{- raise_exception('Unexpected content type.') }}\n {%- endif %}\n{%- endmacro %}\n{%- if not messages %}\n {{- raise_exception('No messages provided.') }}\n{%- endif %}\n{%- if tools and tools is iterable and tools is not mapping %}\n {{- '<|im_start|>system\\n' }}\n {{- \"# Tools\\n\\nYou have access to the following functions:\\n\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\" }}\n {{- '\\n\\nIf you choose to call a function ONLY reply in the following format with NO suffix:\\n\\n<tool_call>\\n<function=example_function_name>\\n<parameter=example_parameter_1>\\nvalue_1\\n</parameter>\\n<parameter=example_parameter_2>\\nThis is the value for the second parameter\\nthat can span\\nmultiple lines\\n</parameter>\\n</function>\\n</tool_call>\\n\\n<IMPORTANT>\\nReminder:\\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\\n- Required parameters MUST be specified\\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\\n</IMPORTANT>' }}\n {%- if messages[0].role == 'system' %}\n {%- set content = render_content(messages[0].content, false, true)|trim %}\n {%- if content %}\n {{- '\\n\\n' + content }}\n {%- endif %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {%- set content = render_content(messages[0].content, false, true)|trim %}\n {{- '<|im_start|>system\\n' + content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" %}\n {%- set content = render_content(message.content, false)|trim %}\n {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if ns.multi_step_tool %}\n {{- raise_exception('No user query found in messages.') }}\n{%- endif %}\n{%- for message in messages %}\n {%- set content = render_content(message.content, true)|trim %}\n {%- if message.role == \"system\" %}\n {%- if not loop.first %}\n {{- raise_exception('System message must be at the beginning.') }}\n {%- endif %}\n {%- elif message.role == \"user\" %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is string %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in content %}\n {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- set reasoning_content = reasoning_content|trim %}\n {%- if loop.index0 > ns.last_query_index %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content + '\\n</think>\\n\\n' + content }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {%- if loop.first %}\n {%- if content|trim %}\n {{- '\\n\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n {%- else %}\n {{- '<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n {%- endif %}\n {%- else %}\n {{- '\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n {%- endif %}\n {%- if tool_call.arguments is defined %}\n {%- for args_name, args_value in tool_call.arguments|items %}\n {{- '<parameter=' + args_name + '>\\n' }}\n {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}\n {{- args_value }}\n {{- '\\n</parameter>\\n' }}\n {%- endfor %}\n {%- endif %}\n {{- '</function>\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.previtem and loop.previtem.role != \"tool\" %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- content }}\n {{- '\\n</tool_response>' }}\n {%- if not loop.last and loop.nextitem.role != \"tool\" %}\n {{- '<|im_end|>\\n' }}\n {%- elif loop.last %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- else %}\n {{- raise_exception('Unexpected message role.') }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- else %}\n {{- '<think>\\n' }}\n {%- endif %}\n{%- endif %}",
|
| 286 |
+
"clean_up_tokenization_spaces": false,
|
| 287 |
+
"eos_token": "<|im_end|>",
|
| 288 |
+
"errors": "replace",
|
| 289 |
+
"model_max_length": 262144,
|
| 290 |
+
"pad_token": "<|endoftext|>",
|
| 291 |
+
"split_special_tokens": false,
|
| 292 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 293 |
+
"unk_token": null,
|
| 294 |
+
"add_bos_token": false,
|
| 295 |
+
"pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
|
| 296 |
+
"extra_special_tokens": {
|
| 297 |
+
"audio_bos_token": "<|audio_start|>",
|
| 298 |
+
"audio_eos_token": "<|audio_end|>",
|
| 299 |
+
"audio_token": "<|audio_pad|>",
|
| 300 |
+
"image_token": "<|image_pad|>",
|
| 301 |
+
"video_token": "<|video_pad|>",
|
| 302 |
+
"vision_bos_token": "<|vision_start|>",
|
| 303 |
+
"vision_eos_token": "<|vision_end|>"
|
| 304 |
+
}
|
| 305 |
+
}
|
vocab.json
ADDED
|
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See raw diff
|
|
|