Instructions to use Babsie/Crow_Qwen9B_OpusUCH with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Babsie/Crow_Qwen9B_OpusUCH with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf Babsie/Crow_Qwen9B_OpusUCH:Q4_K_M # Run inference directly in the terminal: llama cli -hf Babsie/Crow_Qwen9B_OpusUCH:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Babsie/Crow_Qwen9B_OpusUCH:Q4_K_M # Run inference directly in the terminal: llama cli -hf Babsie/Crow_Qwen9B_OpusUCH:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf Babsie/Crow_Qwen9B_OpusUCH:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Babsie/Crow_Qwen9B_OpusUCH:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf Babsie/Crow_Qwen9B_OpusUCH:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Babsie/Crow_Qwen9B_OpusUCH:Q4_K_M
Use Docker
docker model run hf.co/Babsie/Crow_Qwen9B_OpusUCH:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use Babsie/Crow_Qwen9B_OpusUCH with Ollama:
ollama run hf.co/Babsie/Crow_Qwen9B_OpusUCH:Q4_K_M
- Unsloth Desktop
- Pi
How to use Babsie/Crow_Qwen9B_OpusUCH with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Babsie/Crow_Qwen9B_OpusUCH:Q4_K_M
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "Babsie/Crow_Qwen9B_OpusUCH:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use Babsie/Crow_Qwen9B_OpusUCH with Docker Model Runner:
docker model run hf.co/Babsie/Crow_Qwen9B_OpusUCH:Q4_K_M
- Lemonade
How to use Babsie/Crow_Qwen9B_OpusUCH with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Babsie/Crow_Qwen9B_OpusUCH:Q4_K_M
Run and chat with the model
lemonade run user.Crow_Qwen9B_OpusUCH-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use Babsie/Crow_Qwen9B_OpusUCH with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Babsie/Crow_Qwen9B_OpusUCH:Q4_K_M
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default Babsie/Crow_Qwen9B_OpusUCH:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use Babsie/Crow_Qwen9B_OpusUCH with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Babsie/Crow_Qwen9B_OpusUCH:Q4_K_M
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "Babsie/Crow_Qwen9B_OpusUCH:Q4_K_M" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Commit ·
131433a
0
Parent(s):
Duplicate from crownelius/Crow-9B-Opus-4.6-Distill-Heretic_Qwen3.5
Browse filesCo-authored-by: Shane <crownelius@users.noreply.huggingface.co>
- .gitattributes +41 -0
- Qwen3.5-9B-heretic-v2.BF16-mmproj.gguf +3 -0
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- Qwen3.5-9B-heretic-v2.Q8_0.gguf +3 -0
- README.md +223 -0
- banner.png +0 -0
- chat_template.jinja +154 -0
- config.json +112 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +768 -0
- processor_config.json +63 -0
- tokenizer.json +3 -0
- tokenizer_config.json +34 -0
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---
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| 2 |
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datasets:
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| 3 |
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- crownelius/Creative_Writing_ShareGPT_Enhanced
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| 4 |
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- microsoft/rStar-Coder
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| 5 |
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- peteromallet/dataclaw-peteromallet
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| 6 |
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- crownelius/Opus-4.6-Reasoning-3300x
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| 7 |
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- openbmb/UltraData-Math
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| 8 |
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- Unreleased/Dataset
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| 9 |
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base_model:
|
| 10 |
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- trohrbaugh/Qwen3.5-9B-heretic-v2
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| 11 |
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tags:
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| 12 |
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- agent
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| 13 |
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license: apache-2.0
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language:
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| 15 |
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- en
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| 16 |
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- zh
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- ru
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- es
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- fr
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- it
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- ja
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- ko
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| 23 |
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- af
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| 24 |
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- de
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- ar
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- tr
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- is
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- pl
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- sw
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- sv
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- nl
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- he
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- id
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- uk
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| 35 |
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- fa
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- pa
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- pt
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- ms
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| 39 |
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- fi
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| 40 |
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- el
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| 41 |
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---
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| 42 |
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[<img src="https://huggingface.co/crownelius/Crow-9B-Opus-4.6-Distill-Heretic_Qwen3.5/resolve/main/banner.png" width="350"/>](https://ko-fi.com/abcuo)
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| 43 |
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CROW HAS REACHED THE FIRST PAGE OF HUGGINGFACE TRENDING MODELS! THANK YOU SO MUCH!!! NUMBER 15 IN THE WORLD!!!
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| 44 |
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| 45 |
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| 46 |
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# 🪶 CROW-9B
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| 47 |
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> **Flagship Intelligence. Featherweight Footprint.**
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| 48 |
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> *Meticulously distilled from Claude Opus 4.6 into a highly efficient Qwen 3.5 architecture.*
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| 49 |
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| 50 |
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---
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| 51 |
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| 52 |
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**`Architecture:`** `Qwen 3.5` | **`Parameters:`** `9 Billion` | **`Teacher Model:`** `Claude Opus 4.6` | **`Type:`** `Distilled LLM`
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| 53 |
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| 54 |
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---
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| 55 |
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| 56 |
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### 🌟 Model Highlights
|
| 57 |
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* **Distilled Excellence:** Captures the deep reasoning, nuanced formatting, and instruction-following capabilities of Claude Opus 4.6.
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| 58 |
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* **Highly Agile:** At just 9B parameters, Crow runs efficiently on consumer-grade GPUs and edge devices without sacrificing contextual depth.
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| 59 |
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* **Qwen 3.5 Backbone:** Inherits robust multilingual support, a massive context window, and structural stability.
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| 60 |
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| 61 |
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--- Generating this model was expensive. You can support this one and future models by tipping. https://ko-fi.com/abcuo
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| 62 |
+
|
| 63 |
+
## Available Model files:
|
| 64 |
+
- `Qwen3.5-9B-heretic-v2.F16.gguf`
|
| 65 |
+
- `Qwen3.5-9B-heretic-v2.Q8_0.gguf`
|
| 66 |
+
- `Qwen3.5-9B-heretic-v2.Q5_K_M.gguf`
|
| 67 |
+
- `Qwen3.5-9B-heretic-v2.Q4_K_M.gguf`
|
| 68 |
+
- `Qwen3.5-9B-heretic-v2.BF16-mmproj.gguf`
|
| 69 |
+
|
| 70 |
+
## User Guide
|
| 71 |
+
|
| 72 |
+
### Recommended System Prompt
|
| 73 |
+
|
| 74 |
+
Default system prompt:
|
| 75 |
+
|
| 76 |
+
```text
|
| 77 |
+
You are Crow, a precise and capable assistant for reasoning, writing, coding, and long-form dialogue.
|
| 78 |
+
|
| 79 |
+
Behavior rules:
|
| 80 |
+
- Answer the user's actual request directly.
|
| 81 |
+
- Be accurate, complete, and structured.
|
| 82 |
+
- Think before answering, but do not get stuck in repetitive loops or meta-commentary.
|
| 83 |
+
- If the request is ambiguous or incomplete, state what is missing and make the smallest reasonable assumption needed to continue.
|
| 84 |
+
- If the user wants creative writing, preserve tone, continuity, and character consistency.
|
| 85 |
+
- If the user wants analysis or technical help, prefer concrete steps, examples, and decisions over fluff.
|
| 86 |
+
- Finish with a usable answer, not just planning.
|
| 87 |
+
```
|
| 88 |
+
|
| 89 |
+
Shorter fallback system prompt:
|
| 90 |
+
|
| 91 |
+
```text
|
| 92 |
+
You are Crow. Give direct, useful answers. Keep reasoning concise. Do not loop, do not repeat yourself, and do not pad. If context is missing, say what is missing in one sentence and continue with the best reasonable assumption.
|
| 93 |
+
```
|
| 94 |
+
|
| 95 |
+
### Install & Dependencies
|
| 96 |
+
|
| 97 |
+
#### LM Studio
|
| 98 |
+
|
| 99 |
+
1. Install LM Studio from `https://lmstudio.ai/`.
|
| 100 |
+
2. Download one of the GGUF files from the Files tab for this repo.
|
| 101 |
+
3. Pick a quant based on your hardware:
|
| 102 |
+
- `Q4_K_M`: lowest memory use
|
| 103 |
+
- `Q5_K_M`: best default for most users
|
| 104 |
+
- `Q8_0`: stronger quality, higher memory use
|
| 105 |
+
- `F16`: best quality, highest memory use
|
| 106 |
+
4. Load the GGUF in LM Studio.
|
| 107 |
+
5. If you need image support in a compatible GGUF runtime, also download the paired `mmproj` file.
|
| 108 |
+
|
| 109 |
+
Dependencies:
|
| 110 |
+
|
| 111 |
+
- A current LM Studio build
|
| 112 |
+
- Enough disk space for the model and cache
|
| 113 |
+
- Enough RAM / VRAM for your selected quant
|
| 114 |
+
- Current GPU drivers if you want GPU offload
|
| 115 |
+
|
| 116 |
+
#### Ollama
|
| 117 |
+
|
| 118 |
+
1. Install Ollama from `https://docs.ollama.com/quickstart`.
|
| 119 |
+
2. Download a Crow 9B GGUF from this repo.
|
| 120 |
+
3. Place the GGUF in its own folder.
|
| 121 |
+
4. Create a `Modelfile`.
|
| 122 |
+
5. Build the model with `ollama create`.
|
| 123 |
+
|
| 124 |
+
Dependencies:
|
| 125 |
+
|
| 126 |
+
- A current Ollama release
|
| 127 |
+
- Enough disk space for the GGUF and Ollama model store
|
| 128 |
+
- Enough RAM / VRAM for your selected quant
|
| 129 |
+
- Current GPU drivers if you want GPU acceleration
|
| 130 |
+
|
| 131 |
+
### Good LM Studio Settings
|
| 132 |
+
|
| 133 |
+
Recommended starting points:
|
| 134 |
+
|
| 135 |
+
| Use case | Temperature | Top P | Top K | Repeat penalty | Context | Max tokens |
|
| 136 |
+
|---|---:|---:|---:|---:|---:|---:|
|
| 137 |
+
| General / reasoning | 0.6 | 0.95 | 20 | 1.05 | 16384 | 4096 |
|
| 138 |
+
| Creative writing / roleplay | 0.8 | 0.95 | 40 | 1.02 | 16384-32768 | 4096-8192 |
|
| 139 |
+
|
| 140 |
+
Notes:
|
| 141 |
+
|
| 142 |
+
- Start with `Q5_K_M` unless you have a reason to use a different quant.
|
| 143 |
+
- Lower temperature if you see rambling or unstable reasoning.
|
| 144 |
+
- Do not max out context by default. Larger contexts cost more memory and can make long chats less stable on weaker hardware.
|
| 145 |
+
|
| 146 |
+
### Good Ollama Settings
|
| 147 |
+
|
| 148 |
+
Example `Modelfile`:
|
| 149 |
+
|
| 150 |
+
```text
|
| 151 |
+
FROM ./Qwen3.5-9B-heretic-v2.Q5_K_M.gguf
|
| 152 |
+
|
| 153 |
+
PARAMETER num_ctx 16384
|
| 154 |
+
PARAMETER temperature 0.6
|
| 155 |
+
PARAMETER top_p 0.95
|
| 156 |
+
PARAMETER top_k 20
|
| 157 |
+
PARAMETER repeat_penalty 1.05
|
| 158 |
+
PARAMETER repeat_last_n 256
|
| 159 |
+
|
| 160 |
+
SYSTEM """
|
| 161 |
+
You are Crow, a precise and capable assistant for reasoning, writing, coding, and long-form dialogue.
|
| 162 |
+
Answer directly, stay coherent, avoid repetitive thinking loops, and finish with a complete answer.
|
| 163 |
+
If context is missing, identify the gap briefly and continue with the best reasonable assumption.
|
| 164 |
+
"""
|
| 165 |
+
```
|
| 166 |
+
|
| 167 |
+
Build and run:
|
| 168 |
+
|
| 169 |
+
```bash
|
| 170 |
+
ollama create crow-9b -f Modelfile
|
| 171 |
+
ollama run crow-9b
|
| 172 |
+
```
|
| 173 |
+
|
| 174 |
+
For more creative outputs, raise `temperature` to `0.8`, raise `top_k` to `40`, and reduce `repeat_penalty` slightly to `1.02`.
|
| 175 |
+
|
| 176 |
+
### If You Hit a Thinking Loop
|
| 177 |
+
|
| 178 |
+
If the model starts looping inside `<think>` tags, repeating analysis, or stalling:
|
| 179 |
+
|
| 180 |
+
1. Stop generation.
|
| 181 |
+
2. Retry with a lower temperature, ideally `0.4` to `0.6`.
|
| 182 |
+
3. Increase repeat penalty slightly, for example from `1.05` to `1.08`.
|
| 183 |
+
4. Add an instruction like:
|
| 184 |
+
|
| 185 |
+
```text
|
| 186 |
+
Answer directly. Keep reasoning brief. Do not repeat analysis. Give the final answer.
|
| 187 |
+
```
|
| 188 |
+
|
| 189 |
+
5. Start a fresh chat if the current conversation has become unstable.
|
| 190 |
+
6. If the problem happens mostly on lower quants, move up to `Q8_0` or `F16`.
|
| 191 |
+
|
| 192 |
+
### If the Prompt Is Incomplete or the Output Cuts Off
|
| 193 |
+
|
| 194 |
+
If the prompt is incomplete or malformed:
|
| 195 |
+
|
| 196 |
+
1. Clean it before sending it.
|
| 197 |
+
2. Remove broken tags, clipped instructions, or half-finished bullets.
|
| 198 |
+
3. If only partial context is available, prepend:
|
| 199 |
+
|
| 200 |
+
```text
|
| 201 |
+
If context is missing, state your assumptions briefly and continue with the most likely intended task.
|
| 202 |
+
```
|
| 203 |
+
|
| 204 |
+
If the output cuts off:
|
| 205 |
+
|
| 206 |
+
1. Increase max tokens.
|
| 207 |
+
2. Ask:
|
| 208 |
+
|
| 209 |
+
```text
|
| 210 |
+
Continue from the last complete sentence. Do not restart or summarize. Continue exactly where you stopped.
|
| 211 |
+
```
|
| 212 |
+
|
| 213 |
+
3. If it still restarts instead of continuing, begin a fresh chat and resend the prompt with the desired output format stated more explicitly.
|
| 214 |
+
|
| 215 |
+
### Prompting Tips
|
| 216 |
+
|
| 217 |
+
- State the exact deliverable: list, table, code, rewrite, draft, critique, or decision.
|
| 218 |
+
- For coding, specify language, runtime, and expected input/output.
|
| 219 |
+
- For creative writing, specify tone, genre, constraints, and point of view up front.
|
| 220 |
+
- For high-control tasks, say whether you want concise output, full reasoning, or final answer only.
|
| 221 |
+
|
| 222 |
+
This was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth)
|
| 223 |
+
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
|
banner.png
ADDED
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,154 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
"torch_dtype": "bfloat16",
|
| 6 |
+
"eos_token_id": 248046,
|
| 7 |
+
"image_token_id": 248056,
|
| 8 |
+
"model_type": "qwen3_5",
|
| 9 |
+
"pad_token_id": 248044,
|
| 10 |
+
"text_config": {
|
| 11 |
+
"attention_bias": false,
|
| 12 |
+
"attention_dropout": 0.0,
|
| 13 |
+
"attn_output_gate": true,
|
| 14 |
+
"bos_token_id": null,
|
| 15 |
+
"torch_dtype": "bfloat16",
|
| 16 |
+
"eos_token_id": 248044,
|
| 17 |
+
"full_attention_interval": 4,
|
| 18 |
+
"head_dim": 256,
|
| 19 |
+
"hidden_act": "silu",
|
| 20 |
+
"hidden_size": 4096,
|
| 21 |
+
"initializer_range": 0.02,
|
| 22 |
+
"intermediate_size": 12288,
|
| 23 |
+
"layer_types": [
|
| 24 |
+
"linear_attention",
|
| 25 |
+
"linear_attention",
|
| 26 |
+
"linear_attention",
|
| 27 |
+
"full_attention",
|
| 28 |
+
"linear_attention",
|
| 29 |
+
"linear_attention",
|
| 30 |
+
"linear_attention",
|
| 31 |
+
"full_attention",
|
| 32 |
+
"linear_attention",
|
| 33 |
+
"linear_attention",
|
| 34 |
+
"linear_attention",
|
| 35 |
+
"full_attention",
|
| 36 |
+
"linear_attention",
|
| 37 |
+
"linear_attention",
|
| 38 |
+
"linear_attention",
|
| 39 |
+
"full_attention",
|
| 40 |
+
"linear_attention",
|
| 41 |
+
"linear_attention",
|
| 42 |
+
"linear_attention",
|
| 43 |
+
"full_attention",
|
| 44 |
+
"linear_attention",
|
| 45 |
+
"linear_attention",
|
| 46 |
+
"linear_attention",
|
| 47 |
+
"full_attention",
|
| 48 |
+
"linear_attention",
|
| 49 |
+
"linear_attention",
|
| 50 |
+
"linear_attention",
|
| 51 |
+
"full_attention",
|
| 52 |
+
"linear_attention",
|
| 53 |
+
"linear_attention",
|
| 54 |
+
"linear_attention",
|
| 55 |
+
"full_attention"
|
| 56 |
+
],
|
| 57 |
+
"linear_conv_kernel_dim": 4,
|
| 58 |
+
"linear_key_head_dim": 128,
|
| 59 |
+
"linear_num_key_heads": 16,
|
| 60 |
+
"linear_num_value_heads": 32,
|
| 61 |
+
"linear_value_head_dim": 128,
|
| 62 |
+
"mamba_ssm_dtype": "float32",
|
| 63 |
+
"max_position_embeddings": 262144,
|
| 64 |
+
"mlp_only_layers": [],
|
| 65 |
+
"model_type": "qwen3_5_text",
|
| 66 |
+
"mtp_num_hidden_layers": 1,
|
| 67 |
+
"mtp_use_dedicated_embeddings": false,
|
| 68 |
+
"num_attention_heads": 16,
|
| 69 |
+
"num_hidden_layers": 32,
|
| 70 |
+
"num_key_value_heads": 4,
|
| 71 |
+
"pad_token_id": null,
|
| 72 |
+
"partial_rotary_factor": 0.25,
|
| 73 |
+
"rms_norm_eps": 1e-06,
|
| 74 |
+
"rope_parameters": {
|
| 75 |
+
"mrope_interleaved": true,
|
| 76 |
+
"mrope_section": [
|
| 77 |
+
11,
|
| 78 |
+
11,
|
| 79 |
+
10
|
| 80 |
+
],
|
| 81 |
+
"partial_rotary_factor": 0.25,
|
| 82 |
+
"rope_theta": 10000000,
|
| 83 |
+
"rope_type": "default"
|
| 84 |
+
},
|
| 85 |
+
"tie_word_embeddings": false,
|
| 86 |
+
"use_cache": true,
|
| 87 |
+
"vocab_size": 248320
|
| 88 |
+
},
|
| 89 |
+
"tie_word_embeddings": false,
|
| 90 |
+
"unsloth_version": "2026.2.1",
|
| 91 |
+
"use_cache": false,
|
| 92 |
+
"video_token_id": 248057,
|
| 93 |
+
"vision_config": {
|
| 94 |
+
"deepstack_visual_indexes": [],
|
| 95 |
+
"depth": 27,
|
| 96 |
+
"torch_dtype": "bfloat16",
|
| 97 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 98 |
+
"hidden_size": 1152,
|
| 99 |
+
"in_channels": 3,
|
| 100 |
+
"initializer_range": 0.02,
|
| 101 |
+
"intermediate_size": 4304,
|
| 102 |
+
"model_type": "qwen3_5",
|
| 103 |
+
"num_heads": 16,
|
| 104 |
+
"num_position_embeddings": 2304,
|
| 105 |
+
"out_hidden_size": 4096,
|
| 106 |
+
"patch_size": 16,
|
| 107 |
+
"spatial_merge_size": 2,
|
| 108 |
+
"temporal_patch_size": 2
|
| 109 |
+
},
|
| 110 |
+
"vision_end_token_id": 248054,
|
| 111 |
+
"vision_start_token_id": 248053
|
| 112 |
+
}
|
model-00001-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6193b1a1239bbfa2fd5624867d092b7a9aeeafe9896d10c19cabd1c9d1f2d1f0
|
| 3 |
+
size 9930464136
|
model-00002-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:39bb73a52f816d7f8aaac973c2d3e168be5f2976e27d1e8fa324c2b46371d488
|
| 3 |
+
size 8889257096
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,768 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
|
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|
|
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|
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|
|
|
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|
|
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|
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|
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|
|
|
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|
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|
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|
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|
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processor_config.json
ADDED
|
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|
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|
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},
|
| 27 |
+
"temporal_patch_size": 2
|
| 28 |
+
},
|
| 29 |
+
"processor_class": "Qwen3VLProcessor",
|
| 30 |
+
"video_processor": {
|
| 31 |
+
"data_format": "channels_first",
|
| 32 |
+
"default_to_square": true,
|
| 33 |
+
"do_convert_rgb": true,
|
| 34 |
+
"do_normalize": true,
|
| 35 |
+
"do_rescale": true,
|
| 36 |
+
"do_resize": true,
|
| 37 |
+
"do_sample_frames": true,
|
| 38 |
+
"fps": 2,
|
| 39 |
+
"image_mean": [
|
| 40 |
+
0.5,
|
| 41 |
+
0.5,
|
| 42 |
+
0.5
|
| 43 |
+
],
|
| 44 |
+
"image_std": [
|
| 45 |
+
0.5,
|
| 46 |
+
0.5,
|
| 47 |
+
0.5
|
| 48 |
+
],
|
| 49 |
+
"max_frames": 768,
|
| 50 |
+
"merge_size": 2,
|
| 51 |
+
"min_frames": 4,
|
| 52 |
+
"patch_size": 16,
|
| 53 |
+
"resample": 3,
|
| 54 |
+
"rescale_factor": 0.00392156862745098,
|
| 55 |
+
"return_metadata": false,
|
| 56 |
+
"size": {
|
| 57 |
+
"longest_edge": 25165824,
|
| 58 |
+
"shortest_edge": 4096
|
| 59 |
+
},
|
| 60 |
+
"temporal_patch_size": 2,
|
| 61 |
+
"video_processor_type": "Qwen3VLVideoProcessor"
|
| 62 |
+
}
|
| 63 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:394a997fc1db2fd404ef14b59385a73f10f0164a92db69f87090cc658c9abc10
|
| 3 |
+
size 19989610
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": false,
|
| 13 |
+
"model_max_length": 262144,
|
| 14 |
+
"model_specific_special_tokens": {
|
| 15 |
+
"audio_bos_token": "<|audio_start|>",
|
| 16 |
+
"audio_eos_token": "<|audio_end|>",
|
| 17 |
+
"audio_token": "<|audio_pad|>",
|
| 18 |
+
"image_token": "<|image_pad|>",
|
| 19 |
+
"video_token": "<|video_pad|>",
|
| 20 |
+
"vision_bos_token": "<|vision_start|>",
|
| 21 |
+
"vision_eos_token": "<|vision_end|>"
|
| 22 |
+
},
|
| 23 |
+
"pad_token": "<|endoftext|>",
|
| 24 |
+
"padding_side": "right",
|
| 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": "TokenizersBackend",
|
| 29 |
+
"unk_token": null,
|
| 30 |
+
"video_token": "<|video_pad|>",
|
| 31 |
+
"vision_bos_token": "<|vision_start|>",
|
| 32 |
+
"vision_eos_token": "<|vision_end|>",
|
| 33 |
+
"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 %}"
|
| 34 |
+
}
|