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Browse files- .gitattributes +39 -0
- LICENSE +202 -0
- README.md +306 -0
- chat_template.jinja +173 -0
- config.json +960 -0
- generation_config.json +13 -0
- model-00001-of-00006.safetensors +3 -0
- model-00002-of-00006.safetensors +3 -0
- model-00003-of-00006.safetensors +3 -0
- model-00004-of-00006.safetensors +3 -0
- model-00005-of-00006.safetensors +3 -0
- model-00006-of-00006.safetensors +3 -0
- model.safetensors.index.json +3 -0
- model_extra_tensors.safetensors +3 -0
- preprocessor_config.json +26 -0
- processor_config.json +60 -0
- quantization_config.json +837 -0
- tokenizer.json +3 -0
- tokenizer_config.json +33 -0
.gitattributes
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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README.md
ADDED
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|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
pipeline_tag: text-generation
|
| 4 |
+
license: apache-2.0
|
| 5 |
+
language:
|
| 6 |
+
- en
|
| 7 |
+
- zh
|
| 8 |
+
base_model:
|
| 9 |
+
- Qwen/Qwen3.5-35B-A3B
|
| 10 |
+
tags:
|
| 11 |
+
- agent
|
| 12 |
+
- apodex
|
| 13 |
+
- arxiv:2608.23283
|
| 14 |
+
---
|
| 15 |
+
|
| 16 |
+
<div align="center">
|
| 17 |
+
<img src="https://cdn-uploads.huggingface.co/production/uploads/6466e7be1343dce20e59191b/aFPexDrJ5TMuxszCnr4E0.png" width="55%" alt="Apodex" />
|
| 18 |
+
</div>
|
| 19 |
+
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+
<hr>
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| 21 |
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<div align="center" style="line-height:1">
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| 23 |
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</div>
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<h2 align="center">Apodex 1.1: Scaling Agentic Intelligence for Complex Work</h2>
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<div align="center" style="line-height:1">
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<a href="https://www.apodex.ai" target="_blank"><img alt="Online Service" src="https://img.shields.io/badge/🤖%20Online Service-Apodex 1.1-ff6b6b?color=1783ff&logoColor=white"/></a>
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| 30 |
+
<a href="https://www.apodex.com/" target="_blank"><img alt="Homepage" src="https://img.shields.io/badge/Homepage-Apodex AI-white?logoColor=white"/></a>
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+
<a href="https://platform.apodex.ai" target="_blank"><img alt="API" src="https://img.shields.io/badge/API-Apodex 1.1-1783ff?color=1783ff&logoColor=white"/></a>
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</div>
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+
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<div align="center" style="line-height: 1;">
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<a href="https://github.com/ApodexAI/FrontierAgent" target="_blank"><img alt="GitHub" src="https://img.shields.io/badge/GitHub-Apodex AI-white?logo=github&logoColor=white"/></a>
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<a href="https://huggingface.co/apodex/Apodex-1.1-mini-GPTQ-Int4/blob/main/LICENSE"><img alt="License" src="https://img.shields.io/badge/License-Apache_2.0-blue?color=blue"/></a>
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+
</div>
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| 38 |
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<p align="center">
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<b>📰<a href="https://www.apodex.com/blog/apodex-1.1-scaling-agentic-intelligence-for-complex-work">Tech Blog</a></b> | <b>📄<a href="https://www.apodex.com/pdf/20260824">Tech Report</a></b>
|
| 40 |
+
</p>
|
| 41 |
+
|
| 42 |
+
## 1. Model Introduction
|
| 43 |
+
|
| 44 |
+
**Apodex-1.1** is a reasoning-first model for complex, long-horizon research tasks. Beyond searching and writing reports, it works directly with files, data, code, and tools to complete tasks from input to verifiable deliverables. Powered by AgentOS and an asynchronous Agent Team, it can maintain task state, adapt its plan, coordinate parallel work, and incorporate user feedback throughout execution.
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| 45 |
+
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+
### Online Service
|
| 47 |
+
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| 48 |
+
Try Apodex at [apodex.ai](https://www.apodex.ai).
|
| 49 |
+
|
| 50 |
+
### Key Features
|
| 51 |
+
|
| 52 |
+
- **End-to-end execution in real environments.** Apodex 1.1 works directly with papers, datasets, spreadsheets, images, and code. It can clean data, select methods, run analyses, inspect intermediate results, recover from errors, and turn raw inputs into verifiable deliverables within one continuous task.
|
| 53 |
+
- **Adaptive and user-steerable Agent Team.** The model dynamically decomposes complex tasks and coordinates multiple Subagents working in parallel. Results flow continuously into a shared task state, allowing Apodex to revise priorities, preserve completed work, and respond to new files, requirements, or user feedback without restarting the entire task.
|
| 54 |
+
- **Verification built into delivery.** Statement Review independently checks key claims against their supporting sources, data, and computations before delivery. When evidence is insufficient, citations do not match, or results conflict with expectations, the system flags the issue, corrects the affected conclusion, and keeps the review process inspectable.
|
| 55 |
+
|
| 56 |
+
## 2. Evaluation Results
|
| 57 |
+
|
| 58 |
+
> To prevent potential information leakage (e.g., retrieving benchmark answers from public repositories), we block access to relevant benchmark-hosting websites during evaluation.
|
| 59 |
+
|
| 60 |
+
Apodex 1.1 Agent Team delivers frontier-level performance across professional work, finance, scientific research, and general reasoning, achieving 38.5 on APEX-Agents, 78.8 on GDPVal, 54.3 on FrontierFinance, 63.3 on FrontierScience-Research, 35.3 on BioMysteryBench, and 56.1 on Humanity’s Last Exam. It consistently improves over the ReAct setup across all six benchmarks and achieves the highest scores among the compared systems on FrontierFinance and FrontierScience-Research.
|
| 61 |
+
<div align="center">
|
| 62 |
+
<img src="https://cdn-uploads.huggingface.co/production/uploads/6466e7be1343dce20e59191b/yvDHTuMzAaRqmgzw59HRR.png" width="100%" alt="Apodex Benchmarks" />
|
| 63 |
+
</div>
|
| 64 |
+
|
| 65 |
+
Apodex-1.1-mini remains competitive with frontier models, leading FrontierFinance with 50.2 and nearly matching the best result on APEX-Agent with 27.7. Its Agent Team setup also consistently outperforms ReAct across all three benchmarks. You can try Apodex-1.1-mini with our [Agent Team harness](https://github.com/ApodexAI/FrontierAgent).
|
| 66 |
+
<div align="center">
|
| 67 |
+
<img src="https://cdn-uploads.huggingface.co/production/uploads/6466e7be1343dce20e59191b/hBfEXL7HCBEXBTzZc3_4i.png" width="100%" alt="Apodex Benchmarks" />
|
| 68 |
+
</div>
|
| 69 |
+
|
| 70 |
+
## 3. Quick Start
|
| 71 |
+
|
| 72 |
+
Apodex follows the Qwen3.5 chat template — tool calls are emitted as <tool_call><function=...><parameter=...></parameter></function></tool_call> and reasoning as <think>...</think>. Launch with the matching parsers so the server returns standard OpenAI-style tool_calls and reasoning_content fields.
|
| 73 |
+
|
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+
### 3.1 Deployment
|
| 75 |
+
|
| 76 |
+
We recommend deploying Apodex with the latest [SGLang](https://github.com/sgl-project/sglang) for an OpenAI-compatible endpoint.
|
| 77 |
+
|
| 78 |
+
```shell
|
| 79 |
+
python -m sglang.launch_server \
|
| 80 |
+
--model-path apodex/Apodex-1.1-mini-GPTQ-Int4 \
|
| 81 |
+
--quantization moe_wna16 \
|
| 82 |
+
--tp-size 1 \
|
| 83 |
+
--tool-call-parser qwen3_coder \
|
| 84 |
+
--reasoning-parser qwen3
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| 85 |
+
```
|
| 86 |
+
|
| 87 |
+
### 3.2 Best Practices
|
| 88 |
+
|
| 89 |
+
For optimal performance in agentic tasks, we recommend:
|
| 90 |
+
|
| 91 |
+
```
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| 92 |
+
temperature: 1.0
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| 93 |
+
top_p: 0.95
|
| 94 |
+
repetition_penalty: 1.05
|
| 95 |
+
max_context_length: 262144
|
| 96 |
+
max_tokens: 32768
|
| 97 |
+
```
|
| 98 |
+
|
| 99 |
+
### 3.3 Agentic Usage
|
| 100 |
+
|
| 101 |
+
Apodex is trained for native function calling — tool schemas are passed via the tools= parameter of the chat-completions API and rendered into the prompt by the chat template, so the system prompt itself only needs to set the role and the high-level objective. We recommend the prompt below (this is the prompt used in our internal evaluation runs):
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| 102 |
+
|
| 103 |
+
```
|
| 104 |
+
You are Apodex, an AI assistant developed by Apodex AI.
|
| 105 |
+
|
| 106 |
+
Apodex is the flagship agent of Apodex AI. Rather than a conventional conversational LLM, it is a general-purpose solver designed for mission-critical tasks.
|
| 107 |
+
|
| 108 |
+
Current time: {today_date}. In this environment you have access to a set of tools you can use to answer the user's question.
|
| 109 |
+
|
| 110 |
+
You only have access to the tools provided. You can use multiple tools per message, and will receive the results of those tools in the user's next response. You use tools step-by-step to accomplish a given task.
|
| 111 |
+
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| 112 |
+
# General Objective
|
| 113 |
+
|
| 114 |
+
You accomplish a given task iteratively, breaking it down into clear steps and working through them methodically.
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| 115 |
+
```
|
| 116 |
+
|
| 117 |
+
Substitute `{today_date}` with the current date (e.g. `2026-06-01`). **Do not** inline tool descriptions in the system prompt — pass them via `tools=` so the Qwen3.5 chat template can emit the correct `<tool_call><function=...>` format and the server-side `qwen3_coder` parser can recover structured `tool_calls` for you.
|
| 118 |
+
|
| 119 |
+
The example below runs Apodex as a tool-using agent against an OpenAI-compatible endpoint (the SGLang / vLLM server launched above). The agent loops — executing the requested tools and feeding results back as `role="tool"` messages — until the model produces a final answer with no tool calls.
|
| 120 |
+
|
| 121 |
+
Before running, set the endpoint:
|
| 122 |
+
|
| 123 |
+
```bash
|
| 124 |
+
export OPENAI_API_KEY="EMPTY" # any non-empty string for local servers
|
| 125 |
+
export BASE_URL="http://localhost:1234/v1"
|
| 126 |
+
```
|
| 127 |
+
|
| 128 |
+
<details open>
|
| 129 |
+
<summary>Click to expand python code example</summary>
|
| 130 |
+
|
| 131 |
+
```python
|
| 132 |
+
import json
|
| 133 |
+
import os
|
| 134 |
+
from datetime import date
|
| 135 |
+
from openai import OpenAI
|
| 136 |
+
|
| 137 |
+
|
| 138 |
+
# -------- 1. Tool implementations --------
|
| 139 |
+
def get_weather(location: str, unit: str = "celsius") -> str:
|
| 140 |
+
"""Get current weather information for a city (simulated)."""
|
| 141 |
+
table = {
|
| 142 |
+
"London": {"temperature": 15, "condition": "sunny", "humidity": 45},
|
| 143 |
+
"New York": {"temperature": 20, "condition": "cloudy", "humidity": 60},
|
| 144 |
+
"Tokyo": {"temperature": 25, "condition": "rainy", "humidity": 75},
|
| 145 |
+
}
|
| 146 |
+
w = dict(table.get(location, {"temperature": 18, "condition": "unknown", "humidity": 50}))
|
| 147 |
+
if unit == "fahrenheit":
|
| 148 |
+
w["temperature"] = w["temperature"] * 9 / 5 + 32
|
| 149 |
+
w["unit"] = "°F"
|
| 150 |
+
else:
|
| 151 |
+
w["unit"] = "°C"
|
| 152 |
+
return json.dumps(w, ensure_ascii=False)
|
| 153 |
+
|
| 154 |
+
|
| 155 |
+
def calculate(expression: str) -> str:
|
| 156 |
+
"""Evaluate a Python-style arithmetic expression."""
|
| 157 |
+
try:
|
| 158 |
+
return json.dumps({"expression": expression, "result": eval(expression)}, ensure_ascii=False)
|
| 159 |
+
except Exception as e:
|
| 160 |
+
return json.dumps({"expression": expression, "error": str(e)}, ensure_ascii=False)
|
| 161 |
+
|
| 162 |
+
|
| 163 |
+
available_tools = {"get_weather": get_weather, "calculate": calculate}
|
| 164 |
+
|
| 165 |
+
|
| 166 |
+
# -------- 2. Tool schemas (OpenAI function-calling format) --------
|
| 167 |
+
tools = [
|
| 168 |
+
{
|
| 169 |
+
"type": "function",
|
| 170 |
+
"function": {
|
| 171 |
+
"name": "get_weather",
|
| 172 |
+
"description": "Get current weather information for a city.",
|
| 173 |
+
"parameters": {
|
| 174 |
+
"type": "object",
|
| 175 |
+
"properties": {
|
| 176 |
+
"location": {"type": "string", "description": "City name, e.g. 'London'."},
|
| 177 |
+
"unit": {
|
| 178 |
+
"type": "string",
|
| 179 |
+
"enum": ["celsius", "fahrenheit"],
|
| 180 |
+
"description": "Temperature unit (default: celsius).",
|
| 181 |
+
},
|
| 182 |
+
},
|
| 183 |
+
"required": ["location"],
|
| 184 |
+
},
|
| 185 |
+
},
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"type": "function",
|
| 189 |
+
"function": {
|
| 190 |
+
"name": "calculate",
|
| 191 |
+
"description": "Evaluate a Python-style arithmetic expression.",
|
| 192 |
+
"parameters": {
|
| 193 |
+
"type": "object",
|
| 194 |
+
"properties": {
|
| 195 |
+
"expression": {
|
| 196 |
+
"type": "string",
|
| 197 |
+
"description": "Expression to evaluate, e.g. '(25 + 15) * 3 - 10'.",
|
| 198 |
+
},
|
| 199 |
+
},
|
| 200 |
+
"required": ["expression"],
|
| 201 |
+
},
|
| 202 |
+
},
|
| 203 |
+
},
|
| 204 |
+
]
|
| 205 |
+
|
| 206 |
+
|
| 207 |
+
# -------- 3. System prompt --------
|
| 208 |
+
SYSTEM_PROMPT = f"""You are Apodex, an AI assistant developed by Apodex AI.
|
| 209 |
+
|
| 210 |
+
Apodex is the flagship agent of Apodex AI. Rather than a conventional conversational LLM, it is a general-purpose solver designed for mission-critical tasks.
|
| 211 |
+
|
| 212 |
+
Current time: {date.today()}. In this environment you have access to a set of tools you can use to answer the user's question.
|
| 213 |
+
|
| 214 |
+
You only have access to the tools provided. You can use multiple tools per message, and will receive the results of those tools in the user's next response. You use tools step-by-step to accomplish a given task.
|
| 215 |
+
|
| 216 |
+
# General Objective
|
| 217 |
+
|
| 218 |
+
You accomplish a given task iteratively, breaking it down into clear steps and working through them methodically."""
|
| 219 |
+
|
| 220 |
+
|
| 221 |
+
# -------- 4. Agentic loop --------
|
| 222 |
+
def run_agent(user_query: str, model: str = "apodex/Apodex-1.1-mini-GPTQ-Int4", max_turns: int = 20):
|
| 223 |
+
client = OpenAI(
|
| 224 |
+
api_key=os.environ.get("OPENAI_API_KEY", "EMPTY"),
|
| 225 |
+
base_url=os.environ.get("BASE_URL", "<http://localhost:1234/v1>"),
|
| 226 |
+
)
|
| 227 |
+
|
| 228 |
+
messages = [
|
| 229 |
+
{"role": "system", "content": SYSTEM_PROMPT},
|
| 230 |
+
{"role": "user", "content": user_query},
|
| 231 |
+
]
|
| 232 |
+
print(f"\\n{'=' * 60}\\nUser: {user_query}\\n{'=' * 60}\\n")
|
| 233 |
+
|
| 234 |
+
for turn in range(max_turns):
|
| 235 |
+
resp = client.chat.completions.create(
|
| 236 |
+
model=model,
|
| 237 |
+
messages=messages,
|
| 238 |
+
tools=tools,
|
| 239 |
+
parallel_tool_calls=True,
|
| 240 |
+
temperature=1.0,
|
| 241 |
+
top_p=0.95,
|
| 242 |
+
max_tokens=16384,
|
| 243 |
+
extra_body={"repetition_penalty": 1.05},
|
| 244 |
+
)
|
| 245 |
+
msg = resp.choices[0].message
|
| 246 |
+
|
| 247 |
+
# Optional: print reasoning if the server exposes it (qwen3 reasoning parser)
|
| 248 |
+
reasoning = getattr(msg, "reasoning_content", None)
|
| 249 |
+
if reasoning:
|
| 250 |
+
print(f"[think] {reasoning.strip()}\\n")
|
| 251 |
+
if msg.content:
|
| 252 |
+
print(f"[assistant] {msg.content.strip()}\\n")
|
| 253 |
+
|
| 254 |
+
messages.append(msg)
|
| 255 |
+
|
| 256 |
+
# No more tool calls -> final answer
|
| 257 |
+
if not msg.tool_calls:
|
| 258 |
+
print(f"💬 Final answer:\\n{msg.content}\\n")
|
| 259 |
+
return msg.content
|
| 260 |
+
|
| 261 |
+
# Execute every tool call requested in this turn
|
| 262 |
+
for call in msg.tool_calls:
|
| 263 |
+
name = call.function.name
|
| 264 |
+
args = json.loads(call.function.arguments or "{}")
|
| 265 |
+
print(f"🔧 call {name}({args})")
|
| 266 |
+
try:
|
| 267 |
+
result = available_toolsname
|
| 268 |
+
except Exception as e:
|
| 269 |
+
result = json.dumps({"error": f"{type(e).__name__}: {e}"}, ensure_ascii=False)
|
| 270 |
+
print(f" ↳ {result}\\n")
|
| 271 |
+
messages.append({
|
| 272 |
+
"role": "tool",
|
| 273 |
+
"tool_call_id": call.id,
|
| 274 |
+
"content": result,
|
| 275 |
+
})
|
| 276 |
+
|
| 277 |
+
print("⚠️ Reached max_turns without a final answer.")
|
| 278 |
+
return None
|
| 279 |
+
|
| 280 |
+
|
| 281 |
+
if __name__ == "__main__":
|
| 282 |
+
run_agent("What's the weather in London in Fahrenheit, and what's (25 + 15) * 3 - 10?")
|
| 283 |
+
```
|
| 284 |
+
|
| 285 |
+
</details>
|
| 286 |
+
|
| 287 |
+
|
| 288 |
+
## 4. License
|
| 289 |
+
|
| 290 |
+
Apodex-1.1 is released under Apache 2.0.
|
| 291 |
+
|
| 292 |
+
## 5. Citation
|
| 293 |
+
|
| 294 |
+
If you find this project useful in your research, please consider citing:
|
| 295 |
+
|
| 296 |
+
```
|
| 297 |
+
@article{apodex2026,
|
| 298 |
+
title={Apodex 1.1: Scaling Agentic Intelligence for Complex Work},
|
| 299 |
+
author={Apodex Team},
|
| 300 |
+
year={2026}
|
| 301 |
+
}
|
| 302 |
+
```
|
| 303 |
+
|
| 304 |
+
## Contact
|
| 305 |
+
|
| 306 |
+
Reach the Apodex Team via our [website](https://apodex.com).
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,173 @@
|
|
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|
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|
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|
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|
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|
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|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
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|
|
|
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|
|
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|
|
|
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|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- set apodex_identity = '# Role Definition\n- Name: Apodex\n- Developer: Apodex AI\n- Identity: An AI assistant developed by Apodex AI\n- Core Principle: Always respond as Apodex and never pretend or claim to be any other AI model\n- Please interact with the user strictly in the identity of Apodex.' %}
|
| 2 |
+
{%- set identity_mode = identity_mode if identity_mode is defined else 'fallback' %}
|
| 3 |
+
{%- set has_caller_system = (messages and messages[0].role == 'system') %}
|
| 4 |
+
{%- set inject_identity = (identity_mode == 'force') or (identity_mode == 'fallback' and not has_caller_system) %}
|
| 5 |
+
{%- set image_count = namespace(value=0) %}
|
| 6 |
+
{%- set video_count = namespace(value=0) %}
|
| 7 |
+
{%- macro render_content(content, do_vision_count, is_system_content=false) %}
|
| 8 |
+
{%- if content is string %}
|
| 9 |
+
{{- content }}
|
| 10 |
+
{%- elif content is iterable and content is not mapping %}
|
| 11 |
+
{%- for item in content %}
|
| 12 |
+
{%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
|
| 13 |
+
{%- if is_system_content %}
|
| 14 |
+
{{- raise_exception('System message cannot contain images.') }}
|
| 15 |
+
{%- endif %}
|
| 16 |
+
{%- if do_vision_count %}
|
| 17 |
+
{%- set image_count.value = image_count.value + 1 %}
|
| 18 |
+
{%- endif %}
|
| 19 |
+
{%- if add_vision_id %}
|
| 20 |
+
{{- 'Picture ' ~ image_count.value ~ ': ' }}
|
| 21 |
+
{%- endif %}
|
| 22 |
+
{{- '<|vision_start|><|image_pad|><|vision_end|>' }}
|
| 23 |
+
{%- elif 'video' in item or item.type == 'video' %}
|
| 24 |
+
{%- if is_system_content %}
|
| 25 |
+
{{- raise_exception('System message cannot contain videos.') }}
|
| 26 |
+
{%- endif %}
|
| 27 |
+
{%- if do_vision_count %}
|
| 28 |
+
{%- set video_count.value = video_count.value + 1 %}
|
| 29 |
+
{%- endif %}
|
| 30 |
+
{%- if add_vision_id %}
|
| 31 |
+
{{- 'Video ' ~ video_count.value ~ ': ' }}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '<|vision_start|><|video_pad|><|vision_end|>' }}
|
| 34 |
+
{%- elif 'text' in item %}
|
| 35 |
+
{{- item.text }}
|
| 36 |
+
{%- else %}
|
| 37 |
+
{{- raise_exception('Unexpected item type in content.') }}
|
| 38 |
+
{%- endif %}
|
| 39 |
+
{%- endfor %}
|
| 40 |
+
{%- elif content is none or content is undefined %}
|
| 41 |
+
{{- '' }}
|
| 42 |
+
{%- else %}
|
| 43 |
+
{{- raise_exception('Unexpected content type.') }}
|
| 44 |
+
{%- endif %}
|
| 45 |
+
{%- endmacro %}
|
| 46 |
+
{%- if not messages %}
|
| 47 |
+
{{- raise_exception('No messages provided.') }}
|
| 48 |
+
{%- endif %}
|
| 49 |
+
{%- if tools and tools is iterable and tools is not mapping %}
|
| 50 |
+
{{- '<|im_start|>system\n' }}
|
| 51 |
+
{{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
|
| 52 |
+
{%- for tool in tools %}
|
| 53 |
+
{{- "\n" }}
|
| 54 |
+
{{- tool | tojson }}
|
| 55 |
+
{%- endfor %}
|
| 56 |
+
{{- "\n</tools>" }}
|
| 57 |
+
{{- '\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>' }}
|
| 58 |
+
{%- if inject_identity %}
|
| 59 |
+
{{- '\n\n' + apodex_identity }}
|
| 60 |
+
{%- endif %}
|
| 61 |
+
{%- if has_caller_system %}
|
| 62 |
+
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 63 |
+
{%- if content %}
|
| 64 |
+
{{- '\n\n' + content }}
|
| 65 |
+
{%- endif %}
|
| 66 |
+
{%- endif %}
|
| 67 |
+
{{- '<|im_end|>\n' }}
|
| 68 |
+
{%- else %}
|
| 69 |
+
{%- if inject_identity or has_caller_system %}
|
| 70 |
+
{{- '<|im_start|>system\n' }}
|
| 71 |
+
{%- set parts = namespace(first=true) %}
|
| 72 |
+
{%- if inject_identity %}
|
| 73 |
+
{{- apodex_identity }}
|
| 74 |
+
{%- set parts.first = false %}
|
| 75 |
+
{%- endif %}
|
| 76 |
+
{%- if has_caller_system %}
|
| 77 |
+
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 78 |
+
{%- if content %}
|
| 79 |
+
{%- if not parts.first %}{{- '\n\n' }}{%- endif %}
|
| 80 |
+
{{- content }}
|
| 81 |
+
{%- endif %}
|
| 82 |
+
{%- endif %}
|
| 83 |
+
{{- '<|im_end|>\n' }}
|
| 84 |
+
{%- endif %}
|
| 85 |
+
{%- endif %}
|
| 86 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 87 |
+
{%- for message in messages[::-1] %}
|
| 88 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 89 |
+
{%- if ns.multi_step_tool and message.role == "user" %}
|
| 90 |
+
{%- set content = render_content(message.content, false)|trim %}
|
| 91 |
+
{%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
|
| 92 |
+
{%- set ns.multi_step_tool = false %}
|
| 93 |
+
{%- set ns.last_query_index = index %}
|
| 94 |
+
{%- endif %}
|
| 95 |
+
{%- endif %}
|
| 96 |
+
{%- endfor %}
|
| 97 |
+
{%- if ns.multi_step_tool %}
|
| 98 |
+
{{- raise_exception('No user query found in messages.') }}
|
| 99 |
+
{%- endif %}
|
| 100 |
+
{%- for message in messages %}
|
| 101 |
+
{%- set content = render_content(message.content, true)|trim %}
|
| 102 |
+
{%- if message.role == "system" %}
|
| 103 |
+
{%- if not loop.first %}
|
| 104 |
+
{{- raise_exception('System message must be at the beginning.') }}
|
| 105 |
+
{%- endif %}
|
| 106 |
+
{%- elif message.role == "user" %}
|
| 107 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 108 |
+
{%- elif message.role == "assistant" %}
|
| 109 |
+
{%- set reasoning_content = '' %}
|
| 110 |
+
{%- if message.reasoning_content is string %}
|
| 111 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 112 |
+
{%- else %}
|
| 113 |
+
{%- if '</think>' in content %}
|
| 114 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 115 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 116 |
+
{%- endif %}
|
| 117 |
+
{%- endif %}
|
| 118 |
+
{%- set reasoning_content = reasoning_content|trim %}
|
| 119 |
+
{%- if (preserve_thinking is not defined or preserve_thinking is true) or (loop.index0 > ns.last_query_index) %}
|
| 120 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
|
| 121 |
+
{%- else %}
|
| 122 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 123 |
+
{%- endif %}
|
| 124 |
+
{%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
|
| 125 |
+
{%- for tool_call in message.tool_calls %}
|
| 126 |
+
{%- if tool_call.function is defined %}
|
| 127 |
+
{%- set tool_call = tool_call.function %}
|
| 128 |
+
{%- endif %}
|
| 129 |
+
{%- if loop.first %}
|
| 130 |
+
{%- if content|trim %}
|
| 131 |
+
{{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 132 |
+
{%- else %}
|
| 133 |
+
{{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 134 |
+
{%- endif %}
|
| 135 |
+
{%- else %}
|
| 136 |
+
{{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 137 |
+
{%- endif %}
|
| 138 |
+
{%- if tool_call.arguments is defined %}
|
| 139 |
+
{%- for args_name, args_value in tool_call.arguments|items %}
|
| 140 |
+
{{- '<parameter=' + args_name + '>\n' }}
|
| 141 |
+
{%- set args_value = args_value | string if args_value is string else args_value | tojson | safe %}
|
| 142 |
+
{{- args_value }}
|
| 143 |
+
{{- '\n</parameter>\n' }}
|
| 144 |
+
{%- endfor %}
|
| 145 |
+
{%- endif %}
|
| 146 |
+
{{- '</function>\n</tool_call>' }}
|
| 147 |
+
{%- endfor %}
|
| 148 |
+
{%- endif %}
|
| 149 |
+
{{- '<|im_end|>\n' }}
|
| 150 |
+
{%- elif message.role == "tool" %}
|
| 151 |
+
{%- if loop.previtem and loop.previtem.role != "tool" %}
|
| 152 |
+
{{- '<|im_start|>user' }}
|
| 153 |
+
{%- endif %}
|
| 154 |
+
{{- '\n<tool_response>\n' }}
|
| 155 |
+
{{- content }}
|
| 156 |
+
{{- '\n</tool_response>' }}
|
| 157 |
+
{%- if not loop.last and loop.nextitem.role != "tool" %}
|
| 158 |
+
{{- '<|im_end|>\n' }}
|
| 159 |
+
{%- elif loop.last %}
|
| 160 |
+
{{- '<|im_end|>\n' }}
|
| 161 |
+
{%- endif %}
|
| 162 |
+
{%- else %}
|
| 163 |
+
{{- raise_exception('Unexpected message role.') }}
|
| 164 |
+
{%- endif %}
|
| 165 |
+
{%- endfor %}
|
| 166 |
+
{%- if add_generation_prompt %}
|
| 167 |
+
{{- '<|im_start|>assistant\n' }}
|
| 168 |
+
{%- if enable_thinking is defined and enable_thinking is false %}
|
| 169 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 170 |
+
{%- else %}
|
| 171 |
+
{{- '<think>\n' }}
|
| 172 |
+
{%- endif %}
|
| 173 |
+
{%- endif %}
|
config.json
ADDED
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@@ -0,0 +1,960 @@
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generation_config.json
ADDED
|
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|
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|
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|
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|
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model-00001-of-00006.safetensors
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model-00006-of-00006.safetensors
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model.safetensors.index.json
ADDED
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model_extra_tensors.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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size 1689376032
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,26 @@
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|
| 1 |
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{
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| 2 |
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"do_convert_rgb": true,
|
| 3 |
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"do_normalize": true,
|
| 4 |
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"do_rescale": true,
|
| 5 |
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"do_resize": true,
|
| 6 |
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| 7 |
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| 11 |
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|
| 12 |
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| 13 |
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| 14 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
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| 24 |
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| 25 |
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|
| 26 |
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|
processor_config.json
ADDED
|
@@ -0,0 +1,60 @@
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|
| 1 |
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{
|
| 2 |
+
"image_processor": {
|
| 3 |
+
"do_convert_rgb": true,
|
| 4 |
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"do_normalize": true,
|
| 5 |
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"do_rescale": true,
|
| 6 |
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"do_resize": true,
|
| 7 |
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"image_mean": [
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| 8 |
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0.5,
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| 10 |
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|
| 11 |
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|
| 12 |
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"image_processor_type": "Qwen2VLImageProcessor",
|
| 13 |
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"image_std": [
|
| 14 |
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0.5,
|
| 15 |
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0.5,
|
| 16 |
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0.5
|
| 17 |
+
],
|
| 18 |
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|
| 19 |
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"patch_size": 16,
|
| 20 |
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"resample": 3,
|
| 21 |
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"rescale_factor": 0.00392156862745098,
|
| 22 |
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"size": {
|
| 23 |
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|
| 24 |
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"shortest_edge": 65536
|
| 25 |
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},
|
| 26 |
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"temporal_patch_size": 2
|
| 27 |
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},
|
| 28 |
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"processor_class": "Qwen3VLProcessor",
|
| 29 |
+
"video_processor": {
|
| 30 |
+
"do_convert_rgb": true,
|
| 31 |
+
"do_normalize": true,
|
| 32 |
+
"do_rescale": true,
|
| 33 |
+
"do_resize": true,
|
| 34 |
+
"do_sample_frames": true,
|
| 35 |
+
"fps": 2,
|
| 36 |
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"image_mean": [
|
| 37 |
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0.5,
|
| 38 |
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0.5,
|
| 39 |
+
0.5
|
| 40 |
+
],
|
| 41 |
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"image_std": [
|
| 42 |
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0.5,
|
| 43 |
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0.5,
|
| 44 |
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0.5
|
| 45 |
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],
|
| 46 |
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"max_frames": 768,
|
| 47 |
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"merge_size": 2,
|
| 48 |
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"min_frames": 4,
|
| 49 |
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"patch_size": 16,
|
| 50 |
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|
| 51 |
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"rescale_factor": 0.00392156862745098,
|
| 52 |
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"return_metadata": false,
|
| 53 |
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"size": {
|
| 54 |
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|
| 55 |
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"shortest_edge": 4096
|
| 56 |
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},
|
| 57 |
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"temporal_patch_size": 2,
|
| 58 |
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"video_processor_type": "Qwen3VLVideoProcessor"
|
| 59 |
+
}
|
| 60 |
+
}
|
quantization_config.json
ADDED
|
@@ -0,0 +1,837 @@
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| 1 |
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| 2 |
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+
"mlp.experts.74.down_proj",
|
| 748 |
+
"mlp.experts.74.gate_proj",
|
| 749 |
+
"mlp.experts.74.up_proj",
|
| 750 |
+
"mlp.experts.75.down_proj",
|
| 751 |
+
"mlp.experts.75.gate_proj",
|
| 752 |
+
"mlp.experts.75.up_proj",
|
| 753 |
+
"mlp.experts.76.down_proj",
|
| 754 |
+
"mlp.experts.76.gate_proj",
|
| 755 |
+
"mlp.experts.76.up_proj",
|
| 756 |
+
"mlp.experts.77.down_proj",
|
| 757 |
+
"mlp.experts.77.gate_proj",
|
| 758 |
+
"mlp.experts.77.up_proj",
|
| 759 |
+
"mlp.experts.78.down_proj",
|
| 760 |
+
"mlp.experts.78.gate_proj",
|
| 761 |
+
"mlp.experts.78.up_proj",
|
| 762 |
+
"mlp.experts.79.down_proj",
|
| 763 |
+
"mlp.experts.79.gate_proj",
|
| 764 |
+
"mlp.experts.79.up_proj",
|
| 765 |
+
"mlp.experts.8.down_proj",
|
| 766 |
+
"mlp.experts.8.gate_proj",
|
| 767 |
+
"mlp.experts.8.up_proj",
|
| 768 |
+
"mlp.experts.80.down_proj",
|
| 769 |
+
"mlp.experts.80.gate_proj",
|
| 770 |
+
"mlp.experts.80.up_proj",
|
| 771 |
+
"mlp.experts.81.down_proj",
|
| 772 |
+
"mlp.experts.81.gate_proj",
|
| 773 |
+
"mlp.experts.81.up_proj",
|
| 774 |
+
"mlp.experts.82.down_proj",
|
| 775 |
+
"mlp.experts.82.gate_proj",
|
| 776 |
+
"mlp.experts.82.up_proj",
|
| 777 |
+
"mlp.experts.83.down_proj",
|
| 778 |
+
"mlp.experts.83.gate_proj",
|
| 779 |
+
"mlp.experts.83.up_proj",
|
| 780 |
+
"mlp.experts.84.down_proj",
|
| 781 |
+
"mlp.experts.84.gate_proj",
|
| 782 |
+
"mlp.experts.84.up_proj",
|
| 783 |
+
"mlp.experts.85.down_proj",
|
| 784 |
+
"mlp.experts.85.gate_proj",
|
| 785 |
+
"mlp.experts.85.up_proj",
|
| 786 |
+
"mlp.experts.86.down_proj",
|
| 787 |
+
"mlp.experts.86.gate_proj",
|
| 788 |
+
"mlp.experts.86.up_proj",
|
| 789 |
+
"mlp.experts.87.down_proj",
|
| 790 |
+
"mlp.experts.87.gate_proj",
|
| 791 |
+
"mlp.experts.87.up_proj",
|
| 792 |
+
"mlp.experts.88.down_proj",
|
| 793 |
+
"mlp.experts.88.gate_proj",
|
| 794 |
+
"mlp.experts.88.up_proj",
|
| 795 |
+
"mlp.experts.89.down_proj",
|
| 796 |
+
"mlp.experts.89.gate_proj",
|
| 797 |
+
"mlp.experts.89.up_proj",
|
| 798 |
+
"mlp.experts.9.down_proj",
|
| 799 |
+
"mlp.experts.9.gate_proj",
|
| 800 |
+
"mlp.experts.9.up_proj",
|
| 801 |
+
"mlp.experts.90.down_proj",
|
| 802 |
+
"mlp.experts.90.gate_proj",
|
| 803 |
+
"mlp.experts.90.up_proj",
|
| 804 |
+
"mlp.experts.91.down_proj",
|
| 805 |
+
"mlp.experts.91.gate_proj",
|
| 806 |
+
"mlp.experts.91.up_proj",
|
| 807 |
+
"mlp.experts.92.down_proj",
|
| 808 |
+
"mlp.experts.92.gate_proj",
|
| 809 |
+
"mlp.experts.92.up_proj",
|
| 810 |
+
"mlp.experts.93.down_proj",
|
| 811 |
+
"mlp.experts.93.gate_proj",
|
| 812 |
+
"mlp.experts.93.up_proj",
|
| 813 |
+
"mlp.experts.94.down_proj",
|
| 814 |
+
"mlp.experts.94.gate_proj",
|
| 815 |
+
"mlp.experts.94.up_proj",
|
| 816 |
+
"mlp.experts.95.down_proj",
|
| 817 |
+
"mlp.experts.95.gate_proj",
|
| 818 |
+
"mlp.experts.95.up_proj",
|
| 819 |
+
"mlp.experts.96.down_proj",
|
| 820 |
+
"mlp.experts.96.gate_proj",
|
| 821 |
+
"mlp.experts.96.up_proj",
|
| 822 |
+
"mlp.experts.97.down_proj",
|
| 823 |
+
"mlp.experts.97.gate_proj",
|
| 824 |
+
"mlp.experts.97.up_proj",
|
| 825 |
+
"mlp.experts.98.down_proj",
|
| 826 |
+
"mlp.experts.98.gate_proj",
|
| 827 |
+
"mlp.experts.98.up_proj",
|
| 828 |
+
"mlp.experts.99.down_proj",
|
| 829 |
+
"mlp.experts.99.gate_proj",
|
| 830 |
+
"mlp.experts.99.up_proj",
|
| 831 |
+
"self_attn.k_proj",
|
| 832 |
+
"self_attn.o_proj",
|
| 833 |
+
"self_attn.q_proj",
|
| 834 |
+
"self_attn.v_proj"
|
| 835 |
+
]
|
| 836 |
+
]
|
| 837 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
|
| 3 |
+
size 19989325
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"audio_bos_token": "<|audio_start|>",
|
| 4 |
+
"audio_eos_token": "<|audio_end|>",
|
| 5 |
+
"audio_token": "<|audio_pad|>",
|
| 6 |
+
"backend": "tokenizers",
|
| 7 |
+
"bos_token": null,
|
| 8 |
+
"clean_up_tokenization_spaces": false,
|
| 9 |
+
"eos_token": "<|im_end|>",
|
| 10 |
+
"errors": "replace",
|
| 11 |
+
"image_token": "<|image_pad|>",
|
| 12 |
+
"is_local": true,
|
| 13 |
+
"local_files_only": false,
|
| 14 |
+
"model_max_length": 262144,
|
| 15 |
+
"model_specific_special_tokens": {
|
| 16 |
+
"audio_bos_token": "<|audio_start|>",
|
| 17 |
+
"audio_eos_token": "<|audio_end|>",
|
| 18 |
+
"audio_token": "<|audio_pad|>",
|
| 19 |
+
"image_token": "<|image_pad|>",
|
| 20 |
+
"video_token": "<|video_pad|>",
|
| 21 |
+
"vision_bos_token": "<|vision_start|>",
|
| 22 |
+
"vision_eos_token": "<|vision_end|>"
|
| 23 |
+
},
|
| 24 |
+
"pad_token": "<|endoftext|>",
|
| 25 |
+
"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+",
|
| 26 |
+
"processor_class": "Qwen3VLProcessor",
|
| 27 |
+
"split_special_tokens": false,
|
| 28 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 29 |
+
"unk_token": null,
|
| 30 |
+
"video_token": "<|video_pad|>",
|
| 31 |
+
"vision_bos_token": "<|vision_start|>",
|
| 32 |
+
"vision_eos_token": "<|vision_end|>"
|
| 33 |
+
}
|