Image-Text-to-Text
Transformers
Safetensors
MLX
qwen3_5
coding
research
unsloth
qwen3_6
qwen
fable
qwen3.6
qwen3.5
claude4.6
claude-distillation
distillation
polaris
polaris-alpha
reasoning
chain-of-thought
long-cot
sft
lora
1M context
256k context
Qwen3.6
All use cases
instruction-tuned
conversational
text-generation
multilingual
math
stem
experimental
Deckard(qx)
creative
creative writing
fiction writing
plot generation
sub-plot generation
story generation
scene continue
storytelling
fiction story
science fiction
all genres
story
writing
vivid prosing
vivid writing
fiction
bf16
roleplaying
mergekit
Merge
Instructions to use nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451") model = AutoModelForMultimodalLM.from_pretrained("nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451", device_map="auto") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] inputs = processor.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - MLX
How to use nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451 with MLX:
# Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import apply_chat_template from mlx_vlm.utils import load_config # Load the model model, processor = load("nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451") config = load_config("nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451") # Prepare input image = ["http://images.cocodataset.org/val2017/000000039769.jpg"] prompt = "Describe this image." # Apply chat template formatted_prompt = apply_chat_template( processor, config, prompt, num_images=1 ) # Generate output output = generate(model, processor, formatted_prompt, image) print(output) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- vLLM
How to use nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451
- SGLang
How to use nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }' - Unsloth Studio
How to use nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451 with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451 to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451", max_seq_length=2048, ) - Pi
How to use nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451 with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451"
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451 with Hermes Agent:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451"
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 nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451
Run Hermes
hermes
- OpenClaw new
How to use nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451 with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451"
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 "nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451" \ --custom-provider-id mlx-lm \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
- Docker Model Runner
How to use nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451 with Docker Model Runner:
docker model run hf.co/nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451
Add files using upload-large-folder tool
Browse files- .gitattributes +1 -0
- README.md +23 -88
- chat_template.jinja +236 -0
- config.json +147 -0
- generation_config.json +13 -0
- mergekit_config.yml +10 -0
- model-00001-of-00012.safetensors +3 -0
- model-00002-of-00012.safetensors +3 -0
- model-00003-of-00012.safetensors +3 -0
- model-00004-of-00012.safetensors +3 -0
- model-00005-of-00012.safetensors +3 -0
- model-00006-of-00012.safetensors +3 -0
- model-00007-of-00012.safetensors +3 -0
- model-00008-of-00012.safetensors +3 -0
- model-00009-of-00012.safetensors +3 -0
- model-00010-of-00012.safetensors +3 -0
- model-00011-of-00012.safetensors +3 -0
- model-00012-of-00012.safetensors +3 -0
- model.safetensors.index.json +0 -0
- tokenizer.json +3 -0
- tokenizer_config.json +304 -0
.gitattributes
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README.md
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---
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base_model:
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- Qwen/Qwen3.6-27B
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- DavidAU/Qwen3.5-27B-Claude-4.6-OS-INSTRUCT
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- DavidAU/Qwen3.6-27B-Heretic2-Uncensored-Finetune-Thinking
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- nightmedia/Qwen3.6-27B-Architect-Polaris
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- armand0e/Qwen3.6-27B-Fable-5-Experimental
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- DavidAU/Qwen3.5-27B-Polar-Rev1-Uncensored-Heretic
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language:
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- en
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- zh
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- ja
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- es
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pipeline_tag: image-text-to-text
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library_name: transformers
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tags:
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- transformers
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- coding
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- research
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- unsloth
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- qwen3_5
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- qwen3_6
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- qwen
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- fable
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- qwen3.6
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- qwen3.5
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- claude4.6
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- claude-distillation
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- distillation
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- polaris
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- polaris-alpha
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- reasoning
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- chain-of-thought
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- long-cot
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- sft
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- lora
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- 1M context
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- 256k context
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- Qwen3.6
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- All use cases
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- instruction-tuned
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- conversational
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- text-generation
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- multilingual
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- math
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- stem
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- coding
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- research
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- experimental
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- Deckard(qx)
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- creative
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- creative writing
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- fiction writing
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- plot generation
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- sub-plot generation
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- fiction writing
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- story generation
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- scene continue
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- storytelling
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- fiction story
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- science fiction
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- all genres
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- story
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- writing
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- vivid prosing
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- vivid writing
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- fiction
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- bf16
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- roleplaying
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- mergekit
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- merge
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- mlx
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---
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# Qwen3.6-27B-Architect-Polaris2-Fable-B-F451
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```brainwaves
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mxfp8 0.711,0.879,0.910
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Qwen3.6-27B-Architect-Polaris-Fable-F451
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mxfp8 0.699,0.869,0.911,0.789,0.498,0.818,0.772
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models:
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- model: Qwen3.6-27B-Architect-Polaris2-Fable-B
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parameters:
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weight: 1.4
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- model: Qwen3.6-27B-Architect-Polaris-Fable-F451
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parameters:
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weight: 0.6
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merge_method: nuslerp
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dtype: bfloat16
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name: Qwen3.6-27B-Architect-Polaris2-Fable-B-F451
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```
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---
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base_model: []
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library_name: transformers
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tags:
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- mergekit
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- merge
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---
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+
# Qwen3.6-27B-Architect-Polaris2-Fable-B-F451
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This model [Qwen3.6-27B-Architect-Polaris2-Fable-B-F451](https://huggingface.co/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451) was
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converted to MLX format from [[]](https://huggingface.co/[])
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using mlx-lm version **0.31.3**.
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## Use with mlx
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```bash
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pip install mlx-lm
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```
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```python
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from mlx_lm import load, generate
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model, tokenizer = load("Qwen3.6-27B-Architect-Polaris2-Fable-B-F451")
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prompt = "hello"
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if tokenizer.chat_template is not None:
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messages = [{"role": "user", "content": prompt}]
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prompt = tokenizer.apply_chat_template(
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messages, add_generation_prompt=True, return_dict=False,
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)
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response = generate(model, tokenizer, prompt=prompt, verbose=True)
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```
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chat_template.jinja
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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 enable_thinking = false %}
|
| 2 |
+
{%- set preserve_thinking = true %}
|
| 3 |
+
{%- set image_count = namespace(value=0) %}
|
| 4 |
+
{%- set video_count = namespace(value=0) %}
|
| 5 |
+
{%- macro render_content(content, do_vision_count, is_system_content=false) %}
|
| 6 |
+
{%- if content is string %}
|
| 7 |
+
{{- content }}
|
| 8 |
+
{%- elif content is iterable and content is not mapping %}
|
| 9 |
+
{%- for item in content %}
|
| 10 |
+
{%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
|
| 11 |
+
{%- if is_system_content %}
|
| 12 |
+
{{- raise_exception('System message cannot contain images.') }}
|
| 13 |
+
{%- endif %}
|
| 14 |
+
{%- if do_vision_count %}
|
| 15 |
+
{%- set image_count.value = image_count.value + 1 %}
|
| 16 |
+
{%- endif %}
|
| 17 |
+
{%- if add_vision_id is defined and add_vision_id %}
|
| 18 |
+
{{- 'Picture ' ~ image_count.value ~ ': ' }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{{- '<|vision_start|><|image_pad|><|vision_end|>' }}
|
| 21 |
+
{%- elif 'video' in item or item.type == 'video' %}
|
| 22 |
+
{%- if is_system_content %}
|
| 23 |
+
{{- raise_exception('System message cannot contain videos.') }}
|
| 24 |
+
{%- endif %}
|
| 25 |
+
{%- if do_vision_count %}
|
| 26 |
+
{%- set video_count.value = video_count.value + 1 %}
|
| 27 |
+
{%- endif %}
|
| 28 |
+
{%- if add_vision_id is defined and add_vision_id %}
|
| 29 |
+
{{- 'Video ' ~ video_count.value ~ ': ' }}
|
| 30 |
+
{%- endif %}
|
| 31 |
+
{{- '<|vision_start|><|video_pad|><|vision_end|>' }}
|
| 32 |
+
{%- elif 'text' in item %}
|
| 33 |
+
{{- item.text }}
|
| 34 |
+
{%- else %}
|
| 35 |
+
{{- raise_exception('Unexpected item type in content.') }}
|
| 36 |
+
{%- endif %}
|
| 37 |
+
{%- endfor %}
|
| 38 |
+
{%- elif content is none or content is undefined %}
|
| 39 |
+
{{- '' }}
|
| 40 |
+
{%- else %}
|
| 41 |
+
{{- raise_exception('Unexpected content type.') }}
|
| 42 |
+
{%- endif %}
|
| 43 |
+
{%- endmacro %}
|
| 44 |
+
{%- set ns_flags = namespace(enable_thinking=true) %}
|
| 45 |
+
{%- if enable_thinking is defined %}
|
| 46 |
+
{%- set ns_flags.enable_thinking = enable_thinking %}
|
| 47 |
+
{%- endif %}
|
| 48 |
+
{%- if not messages %}
|
| 49 |
+
{{- raise_exception('No messages provided.') }}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- if tools and tools is iterable and tools is not mapping %}
|
| 52 |
+
{{- '<|im_start|>system\n' }}
|
| 53 |
+
{{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
|
| 54 |
+
{%- for tool in tools %}
|
| 55 |
+
{{- "\n" }}
|
| 56 |
+
{{- tool | tojson }}
|
| 57 |
+
{%- endfor %}
|
| 58 |
+
{{- "\n</tools>" }}
|
| 59 |
+
{{- '\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>' }}
|
| 60 |
+
{%- if messages[0].role == 'system' or messages[0].role == 'developer' %}
|
| 61 |
+
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 62 |
+
{%- if '<|think_off|>' in content %}
|
| 63 |
+
{%- set ns_flags.enable_thinking = false %}
|
| 64 |
+
{%- set content = content.replace('<|think_off|>', '') %}
|
| 65 |
+
{%- endif %}
|
| 66 |
+
{%- if '<|think_on|>' in content %}
|
| 67 |
+
{%- set ns_flags.enable_thinking = true %}
|
| 68 |
+
{%- set content = content.replace('<|think_on|>', '') %}
|
| 69 |
+
{%- endif %}
|
| 70 |
+
{%- if '<|think_forget|>' in content %}
|
| 71 |
+
{%- set ns_flags.preserve_thinking = false %}
|
| 72 |
+
{%- set content = content.replace('<|think_forget|>', '') %}
|
| 73 |
+
{%- endif %}
|
| 74 |
+
{%- if '<|think_remember|>' in content %}
|
| 75 |
+
{%- set ns_flags.preserve_thinking = true %}
|
| 76 |
+
{%- set content = content.replace('<|think_remember|>', '') %}
|
| 77 |
+
{%- endif %}
|
| 78 |
+
{%- set content = content.strip() %}
|
| 79 |
+
{%- if content %}
|
| 80 |
+
{{- '\n\n' + content }}
|
| 81 |
+
{%- endif %}
|
| 82 |
+
{%- endif %}
|
| 83 |
+
{{- '<|im_end|>\n' }}
|
| 84 |
+
{%- else %}
|
| 85 |
+
{%- if messages[0].role == 'system' or messages[0].role == 'developer' %}
|
| 86 |
+
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 87 |
+
{%- if '<|think_off|>' in content %}
|
| 88 |
+
{%- set ns_flags.enable_thinking = false %}
|
| 89 |
+
{%- set content = content.replace('<|think_off|>', '') %}
|
| 90 |
+
{%- endif %}
|
| 91 |
+
{%- if '<|think_on|>' in content %}
|
| 92 |
+
{%- set ns_flags.enable_thinking = true %}
|
| 93 |
+
{%- set content = content.replace('<|think_on|>', '') %}
|
| 94 |
+
{%- endif %}
|
| 95 |
+
{%- if '<|think_forget|>' in content %}
|
| 96 |
+
{%- set ns_flags.preserve_thinking = false %}
|
| 97 |
+
{%- set content = content.replace('<|think_forget|>', '') %}
|
| 98 |
+
{%- endif %}
|
| 99 |
+
{%- if '<|think_remember|>' in content %}
|
| 100 |
+
{%- set ns_flags.preserve_thinking = true %}
|
| 101 |
+
{%- set content = content.replace('<|think_remember|>', '') %}
|
| 102 |
+
{%- endif %}
|
| 103 |
+
{%- set content = content.strip() %}
|
| 104 |
+
{{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
|
| 105 |
+
{%- endif %}
|
| 106 |
+
{%- endif %}
|
| 107 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 108 |
+
{%- for message in messages[::-1] %}
|
| 109 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 110 |
+
{%- if ns.multi_step_tool and message.role == "user" %}
|
| 111 |
+
{%- set content = render_content(message.content, false)|trim %}
|
| 112 |
+
{%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
|
| 113 |
+
{%- set ns.multi_step_tool = false %}
|
| 114 |
+
{%- set ns.last_query_index = index %}
|
| 115 |
+
{%- endif %}
|
| 116 |
+
{%- endif %}
|
| 117 |
+
{%- endfor %}
|
| 118 |
+
{%- if ns.multi_step_tool %}
|
| 119 |
+
{{- raise_exception('No user query found in messages.') }}
|
| 120 |
+
{%- endif %}
|
| 121 |
+
{%- for message in messages %}
|
| 122 |
+
{%- set content = render_content(message.content, true)|trim %}
|
| 123 |
+
{%- if '<|think_off|>' in content %}
|
| 124 |
+
{%- set ns_flags.enable_thinking = false %}
|
| 125 |
+
{%- set content = content.replace('<|think_off|>', '') %}
|
| 126 |
+
{%- endif %}
|
| 127 |
+
{%- if '<|think_on|>' in content %}
|
| 128 |
+
{%- set ns_flags.enable_thinking = true %}
|
| 129 |
+
{%- set content = content.replace('<|think_on|>', '') %}
|
| 130 |
+
{%- endif %}
|
| 131 |
+
{%- if '<|think_forget|>' in content %}
|
| 132 |
+
{%- set ns_flags.preserve_thinking = false %}
|
| 133 |
+
{%- set content = content.replace('<|think_forget|>', '') %}
|
| 134 |
+
{%- endif %}
|
| 135 |
+
{%- if '<|think_remember|>' in content %}
|
| 136 |
+
{%- set ns_flags.preserve_thinking = true %}
|
| 137 |
+
{%- set content = content.replace('<|think_remember|>', '') %}
|
| 138 |
+
{%- endif %}
|
| 139 |
+
{%- set content = content.strip() %}
|
| 140 |
+
{%- if message.role == "system" or message.role == "developer" %}
|
| 141 |
+
{%- if not loop.first %}
|
| 142 |
+
{{- raise_exception('System message must be at the beginning.') }}
|
| 143 |
+
{%- endif %}
|
| 144 |
+
{%- elif message.role == "user" %}
|
| 145 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 146 |
+
{%- elif message.role == "assistant" %}
|
| 147 |
+
{%- set reasoning_content = '' %}
|
| 148 |
+
{%- if message.reasoning_content is string %}
|
| 149 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 150 |
+
{%- else %}
|
| 151 |
+
{%- set has_think_tag = false %}
|
| 152 |
+
{%- set think_end_token = '</think>' %}
|
| 153 |
+
{%- if '</think>' in content %}
|
| 154 |
+
{%- set has_think_tag = true %}
|
| 155 |
+
{%- elif '</thinking>' in content %}
|
| 156 |
+
{%- set has_think_tag = true %}
|
| 157 |
+
{%- set think_end_token = '</thinking>' %}
|
| 158 |
+
{%- elif '<think>' in content %}
|
| 159 |
+
{%- set reasoning_content = content.split('<think>')[-1].lstrip('\n') %}
|
| 160 |
+
{%- set content = '' %}
|
| 161 |
+
{%- endif %}
|
| 162 |
+
{%- if has_think_tag %}
|
| 163 |
+
{%- set reasoning_content = content.split(think_end_token)[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 164 |
+
{%- set content = content.split(think_end_token)[-1].lstrip('\n') %}
|
| 165 |
+
{%- endif %}
|
| 166 |
+
{%- endif %}
|
| 167 |
+
{%- set reasoning_content = reasoning_content|trim %}
|
| 168 |
+
{%- set show_think = false %}
|
| 169 |
+
{%- if loop.index0 > ns.last_query_index %}
|
| 170 |
+
{%- set show_think = true %}
|
| 171 |
+
{%- elif ns_flags.enable_thinking and (preserve_thinking is undefined or preserve_thinking is true) and reasoning_content|length > 0 %}
|
| 172 |
+
{%- set show_think = true %}
|
| 173 |
+
{%- endif %}
|
| 174 |
+
{%- if show_think %}
|
| 175 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
|
| 176 |
+
{%- else %}
|
| 177 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 178 |
+
{%- endif %}
|
| 179 |
+
{%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
|
| 180 |
+
{%- for tool_call in message.tool_calls %}
|
| 181 |
+
{%- if tool_call.function is defined %}
|
| 182 |
+
{%- set tool_call = tool_call.function %}
|
| 183 |
+
{%- endif %}
|
| 184 |
+
{%- if loop.first %}
|
| 185 |
+
{%- if content|trim %}
|
| 186 |
+
{{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 187 |
+
{%- else %}
|
| 188 |
+
{{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 189 |
+
{%- endif %}
|
| 190 |
+
{%- else %}
|
| 191 |
+
{{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 192 |
+
{%- endif %}
|
| 193 |
+
{%- if tool_call.arguments is defined and tool_call.arguments is mapping %}
|
| 194 |
+
{%- if tool_call.arguments|length > 0 %}
|
| 195 |
+
{%- for args_name in tool_call.arguments %}
|
| 196 |
+
{%- set args_value = tool_call.arguments[args_name] %}
|
| 197 |
+
{{- '<parameter=' + args_name + '>\n' }}
|
| 198 |
+
{%- set args_value = args_value | string if args_value is string else args_value | tojson %}
|
| 199 |
+
{{- args_value }}
|
| 200 |
+
{{- '\n</parameter>\n' }}
|
| 201 |
+
{%- endfor %}
|
| 202 |
+
{%- endif %}
|
| 203 |
+
{%- elif tool_call.arguments is defined and tool_call.arguments is string %}
|
| 204 |
+
{%- if tool_call.arguments|trim|length > 0 %}
|
| 205 |
+
{{- tool_call.arguments }}
|
| 206 |
+
{{- '\n' }}
|
| 207 |
+
{%- endif %}
|
| 208 |
+
{%- endif %}
|
| 209 |
+
{{- '</function>\n</tool_call>' }}
|
| 210 |
+
{%- endfor %}
|
| 211 |
+
{%- endif %}
|
| 212 |
+
{{- '<|im_end|>\n' }}
|
| 213 |
+
{%- elif message.role == "tool" %}
|
| 214 |
+
{%- if loop.previtem and loop.previtem.role != "tool" %}
|
| 215 |
+
{{- '<|im_start|>user' }}
|
| 216 |
+
{%- endif %}
|
| 217 |
+
{{- '\n<tool_response>\n' }}
|
| 218 |
+
{{- content }}
|
| 219 |
+
{{- '\n</tool_response>' }}
|
| 220 |
+
{%- if not loop.last and loop.nextitem.role != "tool" %}
|
| 221 |
+
{{- '<|im_end|>\n' }}
|
| 222 |
+
{%- elif loop.last %}
|
| 223 |
+
{{- '<|im_end|>\n' }}
|
| 224 |
+
{%- endif %}
|
| 225 |
+
{%- else %}
|
| 226 |
+
{{- raise_exception('Unexpected message role.') }}
|
| 227 |
+
{%- endif %}
|
| 228 |
+
{%- endfor %}
|
| 229 |
+
{%- if add_generation_prompt %}
|
| 230 |
+
{{- '<|im_start|>assistant\n' }}
|
| 231 |
+
{%- if ns_flags.enable_thinking is false %}
|
| 232 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 233 |
+
{%- else %}
|
| 234 |
+
{{- '<think>\n' }}
|
| 235 |
+
{%- endif %}
|
| 236 |
+
{%- endif %}
|
config.json
ADDED
|
@@ -0,0 +1,147 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5ForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
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|
| 7 |
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"dtype": "bfloat16",
|
| 8 |
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|
| 9 |
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|
| 10 |
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"model_name": "/mnt/w/27B-Qwen3.6-R64-it-vl-HERE-Bradbury-F451-qfx-ss-1x1",
|
| 11 |
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"model_type": "qwen3_5",
|
| 12 |
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|
| 13 |
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"text_config": {
|
| 14 |
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"attention_bias": false,
|
| 15 |
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|
| 16 |
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"attn_output_gate": true,
|
| 17 |
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"bos_token_id": 248044,
|
| 18 |
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"dtype": "bfloat16",
|
| 19 |
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"eos_token_id": 248044,
|
| 20 |
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|
| 21 |
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"head_dim": 256,
|
| 22 |
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"hidden_act": "silu",
|
| 23 |
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|
| 24 |
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|
| 25 |
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"intermediate_size": 17408,
|
| 26 |
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"layer_types": [
|
| 27 |
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"linear_attention",
|
| 28 |
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"linear_attention",
|
| 29 |
+
"linear_attention",
|
| 30 |
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"full_attention",
|
| 31 |
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"linear_attention",
|
| 32 |
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"linear_attention",
|
| 33 |
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"linear_attention",
|
| 34 |
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"full_attention",
|
| 35 |
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"linear_attention",
|
| 36 |
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"linear_attention",
|
| 37 |
+
"linear_attention",
|
| 38 |
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"full_attention",
|
| 39 |
+
"linear_attention",
|
| 40 |
+
"linear_attention",
|
| 41 |
+
"linear_attention",
|
| 42 |
+
"full_attention",
|
| 43 |
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"linear_attention",
|
| 44 |
+
"linear_attention",
|
| 45 |
+
"linear_attention",
|
| 46 |
+
"full_attention",
|
| 47 |
+
"linear_attention",
|
| 48 |
+
"linear_attention",
|
| 49 |
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"linear_attention",
|
| 50 |
+
"full_attention",
|
| 51 |
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"linear_attention",
|
| 52 |
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"linear_attention",
|
| 53 |
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"linear_attention",
|
| 54 |
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"full_attention",
|
| 55 |
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"linear_attention",
|
| 56 |
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"linear_attention",
|
| 57 |
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"linear_attention",
|
| 58 |
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"full_attention",
|
| 59 |
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"linear_attention",
|
| 60 |
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"linear_attention",
|
| 61 |
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"linear_attention",
|
| 62 |
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"full_attention",
|
| 63 |
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"linear_attention",
|
| 64 |
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"linear_attention",
|
| 65 |
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"linear_attention",
|
| 66 |
+
"full_attention",
|
| 67 |
+
"linear_attention",
|
| 68 |
+
"linear_attention",
|
| 69 |
+
"linear_attention",
|
| 70 |
+
"full_attention",
|
| 71 |
+
"linear_attention",
|
| 72 |
+
"linear_attention",
|
| 73 |
+
"linear_attention",
|
| 74 |
+
"full_attention",
|
| 75 |
+
"linear_attention",
|
| 76 |
+
"linear_attention",
|
| 77 |
+
"linear_attention",
|
| 78 |
+
"full_attention",
|
| 79 |
+
"linear_attention",
|
| 80 |
+
"linear_attention",
|
| 81 |
+
"linear_attention",
|
| 82 |
+
"full_attention",
|
| 83 |
+
"linear_attention",
|
| 84 |
+
"linear_attention",
|
| 85 |
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"linear_attention",
|
| 86 |
+
"full_attention",
|
| 87 |
+
"linear_attention",
|
| 88 |
+
"linear_attention",
|
| 89 |
+
"linear_attention",
|
| 90 |
+
"full_attention"
|
| 91 |
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],
|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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"mrope_interleaved": true,
|
| 111 |
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|
| 112 |
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|
| 113 |
+
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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},
|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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},
|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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"vision_config": {
|
| 129 |
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"deepstack_visual_indexes": [],
|
| 130 |
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"depth": 27,
|
| 131 |
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"dtype": "bfloat16",
|
| 132 |
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"hidden_act": "gelu_pytorch_tanh",
|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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"model_type": "qwen3_5",
|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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},
|
| 145 |
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|
| 146 |
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|
| 147 |
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}
|
generation_config.json
ADDED
|
@@ -0,0 +1,13 @@
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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"eos_token_id": [
|
| 5 |
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|
| 6 |
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248044
|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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}
|
mergekit_config.yml
ADDED
|
@@ -0,0 +1,10 @@
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|
| 1 |
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models:
|
| 2 |
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- model: Qwen3.6-27B-Architect-Polaris2-Fable-B
|
| 3 |
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parameters:
|
| 4 |
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weight: 1.4
|
| 5 |
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- model: Qwen3.6-27B-Architect-Polaris-Fable-F451
|
| 6 |
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parameters:
|
| 7 |
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weight: 0.6
|
| 8 |
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merge_method: nuslerp
|
| 9 |
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dtype: bfloat16
|
| 10 |
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name: Qwen3.6-27B-Architect-Polaris2-Fable-B-F451
|
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ADDED
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tokenizer.json
ADDED
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tokenizer_config.json
ADDED
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|
| 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 |
+
"max_length": null,
|
| 15 |
+
"model_max_length": 262144,
|
| 16 |
+
"model_specific_special_tokens": {
|
| 17 |
+
"audio_bos_token": "<|audio_start|>",
|
| 18 |
+
"audio_eos_token": "<|audio_end|>",
|
| 19 |
+
"audio_token": "<|audio_pad|>",
|
| 20 |
+
"image_token": "<|image_pad|>",
|
| 21 |
+
"video_token": "<|video_pad|>",
|
| 22 |
+
"vision_bos_token": "<|vision_start|>",
|
| 23 |
+
"vision_eos_token": "<|vision_end|>"
|
| 24 |
+
},
|
| 25 |
+
"pad_to_multiple_of": null,
|
| 26 |
+
"pad_token": "<|endoftext|>",
|
| 27 |
+
"pad_token_type_id": 0,
|
| 28 |
+
"padding_side": "left",
|
| 29 |
+
"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+",
|
| 30 |
+
"processor_class": "Qwen3VLProcessor",
|
| 31 |
+
"split_special_tokens": false,
|
| 32 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 33 |
+
"unk_token": null,
|
| 34 |
+
"video_token": "<|video_pad|>",
|
| 35 |
+
"vision_bos_token": "<|vision_start|>",
|
| 36 |
+
"vision_eos_token": "<|vision_end|>",
|
| 37 |
+
"added_tokens_decoder": {
|
| 38 |
+
"248044": {
|
| 39 |
+
"content": "<|endoftext|>",
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"lstrip": false,
|
| 42 |
+
"rstrip": false,
|
| 43 |
+
"normalized": false,
|
| 44 |
+
"special": true
|
| 45 |
+
},
|
| 46 |
+
"248045": {
|
| 47 |
+
"content": "<|im_start|>",
|
| 48 |
+
"single_word": false,
|
| 49 |
+
"lstrip": false,
|
| 50 |
+
"rstrip": false,
|
| 51 |
+
"normalized": false,
|
| 52 |
+
"special": true
|
| 53 |
+
},
|
| 54 |
+
"248046": {
|
| 55 |
+
"content": "<|im_end|>",
|
| 56 |
+
"single_word": false,
|
| 57 |
+
"lstrip": false,
|
| 58 |
+
"rstrip": false,
|
| 59 |
+
"normalized": false,
|
| 60 |
+
"special": true
|
| 61 |
+
},
|
| 62 |
+
"248047": {
|
| 63 |
+
"content": "<|object_ref_start|>",
|
| 64 |
+
"single_word": false,
|
| 65 |
+
"lstrip": false,
|
| 66 |
+
"rstrip": false,
|
| 67 |
+
"normalized": false,
|
| 68 |
+
"special": true
|
| 69 |
+
},
|
| 70 |
+
"248048": {
|
| 71 |
+
"content": "<|object_ref_end|>",
|
| 72 |
+
"single_word": false,
|
| 73 |
+
"lstrip": false,
|
| 74 |
+
"rstrip": false,
|
| 75 |
+
"normalized": false,
|
| 76 |
+
"special": true
|
| 77 |
+
},
|
| 78 |
+
"248049": {
|
| 79 |
+
"content": "<|box_start|>",
|
| 80 |
+
"single_word": false,
|
| 81 |
+
"lstrip": false,
|
| 82 |
+
"rstrip": false,
|
| 83 |
+
"normalized": false,
|
| 84 |
+
"special": true
|
| 85 |
+
},
|
| 86 |
+
"248050": {
|
| 87 |
+
"content": "<|box_end|>",
|
| 88 |
+
"single_word": false,
|
| 89 |
+
"lstrip": false,
|
| 90 |
+
"rstrip": false,
|
| 91 |
+
"normalized": false,
|
| 92 |
+
"special": true
|
| 93 |
+
},
|
| 94 |
+
"248051": {
|
| 95 |
+
"content": "<|quad_start|>",
|
| 96 |
+
"single_word": false,
|
| 97 |
+
"lstrip": false,
|
| 98 |
+
"rstrip": false,
|
| 99 |
+
"normalized": false,
|
| 100 |
+
"special": true
|
| 101 |
+
},
|
| 102 |
+
"248052": {
|
| 103 |
+
"content": "<|quad_end|>",
|
| 104 |
+
"single_word": false,
|
| 105 |
+
"lstrip": false,
|
| 106 |
+
"rstrip": false,
|
| 107 |
+
"normalized": false,
|
| 108 |
+
"special": true
|
| 109 |
+
},
|
| 110 |
+
"248053": {
|
| 111 |
+
"content": "<|vision_start|>",
|
| 112 |
+
"single_word": false,
|
| 113 |
+
"lstrip": false,
|
| 114 |
+
"rstrip": false,
|
| 115 |
+
"normalized": false,
|
| 116 |
+
"special": true
|
| 117 |
+
},
|
| 118 |
+
"248054": {
|
| 119 |
+
"content": "<|vision_end|>",
|
| 120 |
+
"single_word": false,
|
| 121 |
+
"lstrip": false,
|
| 122 |
+
"rstrip": false,
|
| 123 |
+
"normalized": false,
|
| 124 |
+
"special": true
|
| 125 |
+
},
|
| 126 |
+
"248055": {
|
| 127 |
+
"content": "<|vision_pad|>",
|
| 128 |
+
"single_word": false,
|
| 129 |
+
"lstrip": false,
|
| 130 |
+
"rstrip": false,
|
| 131 |
+
"normalized": false,
|
| 132 |
+
"special": true
|
| 133 |
+
},
|
| 134 |
+
"248056": {
|
| 135 |
+
"content": "<|image_pad|>",
|
| 136 |
+
"single_word": false,
|
| 137 |
+
"lstrip": false,
|
| 138 |
+
"rstrip": false,
|
| 139 |
+
"normalized": false,
|
| 140 |
+
"special": true
|
| 141 |
+
},
|
| 142 |
+
"248057": {
|
| 143 |
+
"content": "<|video_pad|>",
|
| 144 |
+
"single_word": false,
|
| 145 |
+
"lstrip": false,
|
| 146 |
+
"rstrip": false,
|
| 147 |
+
"normalized": false,
|
| 148 |
+
"special": true
|
| 149 |
+
},
|
| 150 |
+
"248058": {
|
| 151 |
+
"content": "<tool_call>",
|
| 152 |
+
"single_word": false,
|
| 153 |
+
"lstrip": false,
|
| 154 |
+
"rstrip": false,
|
| 155 |
+
"normalized": false,
|
| 156 |
+
"special": false
|
| 157 |
+
},
|
| 158 |
+
"248059": {
|
| 159 |
+
"content": "</tool_call>",
|
| 160 |
+
"single_word": false,
|
| 161 |
+
"lstrip": false,
|
| 162 |
+
"rstrip": false,
|
| 163 |
+
"normalized": false,
|
| 164 |
+
"special": false
|
| 165 |
+
},
|
| 166 |
+
"248060": {
|
| 167 |
+
"content": "<|fim_prefix|>",
|
| 168 |
+
"single_word": false,
|
| 169 |
+
"lstrip": false,
|
| 170 |
+
"rstrip": false,
|
| 171 |
+
"normalized": false,
|
| 172 |
+
"special": false
|
| 173 |
+
},
|
| 174 |
+
"248061": {
|
| 175 |
+
"content": "<|fim_middle|>",
|
| 176 |
+
"single_word": false,
|
| 177 |
+
"lstrip": false,
|
| 178 |
+
"rstrip": false,
|
| 179 |
+
"normalized": false,
|
| 180 |
+
"special": false
|
| 181 |
+
},
|
| 182 |
+
"248062": {
|
| 183 |
+
"content": "<|fim_suffix|>",
|
| 184 |
+
"single_word": false,
|
| 185 |
+
"lstrip": false,
|
| 186 |
+
"rstrip": false,
|
| 187 |
+
"normalized": false,
|
| 188 |
+
"special": false
|
| 189 |
+
},
|
| 190 |
+
"248063": {
|
| 191 |
+
"content": "<|fim_pad|>",
|
| 192 |
+
"single_word": false,
|
| 193 |
+
"lstrip": false,
|
| 194 |
+
"rstrip": false,
|
| 195 |
+
"normalized": false,
|
| 196 |
+
"special": false
|
| 197 |
+
},
|
| 198 |
+
"248064": {
|
| 199 |
+
"content": "<|repo_name|>",
|
| 200 |
+
"single_word": false,
|
| 201 |
+
"lstrip": false,
|
| 202 |
+
"rstrip": false,
|
| 203 |
+
"normalized": false,
|
| 204 |
+
"special": false
|
| 205 |
+
},
|
| 206 |
+
"248065": {
|
| 207 |
+
"content": "<|file_sep|>",
|
| 208 |
+
"single_word": false,
|
| 209 |
+
"lstrip": false,
|
| 210 |
+
"rstrip": false,
|
| 211 |
+
"normalized": false,
|
| 212 |
+
"special": false
|
| 213 |
+
},
|
| 214 |
+
"248066": {
|
| 215 |
+
"content": "<tool_response>",
|
| 216 |
+
"single_word": false,
|
| 217 |
+
"lstrip": false,
|
| 218 |
+
"rstrip": false,
|
| 219 |
+
"normalized": false,
|
| 220 |
+
"special": false
|
| 221 |
+
},
|
| 222 |
+
"248067": {
|
| 223 |
+
"content": "</tool_response>",
|
| 224 |
+
"single_word": false,
|
| 225 |
+
"lstrip": false,
|
| 226 |
+
"rstrip": false,
|
| 227 |
+
"normalized": false,
|
| 228 |
+
"special": false
|
| 229 |
+
},
|
| 230 |
+
"248068": {
|
| 231 |
+
"content": "<think>",
|
| 232 |
+
"single_word": false,
|
| 233 |
+
"lstrip": false,
|
| 234 |
+
"rstrip": false,
|
| 235 |
+
"normalized": false,
|
| 236 |
+
"special": false
|
| 237 |
+
},
|
| 238 |
+
"248069": {
|
| 239 |
+
"content": "</think>",
|
| 240 |
+
"single_word": false,
|
| 241 |
+
"lstrip": false,
|
| 242 |
+
"rstrip": false,
|
| 243 |
+
"normalized": false,
|
| 244 |
+
"special": false
|
| 245 |
+
},
|
| 246 |
+
"248070": {
|
| 247 |
+
"content": "<|audio_start|>",
|
| 248 |
+
"single_word": false,
|
| 249 |
+
"lstrip": false,
|
| 250 |
+
"rstrip": false,
|
| 251 |
+
"normalized": false,
|
| 252 |
+
"special": true
|
| 253 |
+
},
|
| 254 |
+
"248071": {
|
| 255 |
+
"content": "<|audio_end|>",
|
| 256 |
+
"single_word": false,
|
| 257 |
+
"lstrip": false,
|
| 258 |
+
"rstrip": false,
|
| 259 |
+
"normalized": false,
|
| 260 |
+
"special": true
|
| 261 |
+
},
|
| 262 |
+
"248072": {
|
| 263 |
+
"content": "<tts_pad>",
|
| 264 |
+
"single_word": false,
|
| 265 |
+
"lstrip": false,
|
| 266 |
+
"rstrip": false,
|
| 267 |
+
"normalized": false,
|
| 268 |
+
"special": true
|
| 269 |
+
},
|
| 270 |
+
"248073": {
|
| 271 |
+
"content": "<tts_text_bos>",
|
| 272 |
+
"single_word": false,
|
| 273 |
+
"lstrip": false,
|
| 274 |
+
"rstrip": false,
|
| 275 |
+
"normalized": false,
|
| 276 |
+
"special": true
|
| 277 |
+
},
|
| 278 |
+
"248074": {
|
| 279 |
+
"content": "<tts_text_eod>",
|
| 280 |
+
"single_word": false,
|
| 281 |
+
"lstrip": false,
|
| 282 |
+
"rstrip": false,
|
| 283 |
+
"normalized": false,
|
| 284 |
+
"special": true
|
| 285 |
+
},
|
| 286 |
+
"248075": {
|
| 287 |
+
"content": "<tts_text_bos_single>",
|
| 288 |
+
"single_word": false,
|
| 289 |
+
"lstrip": false,
|
| 290 |
+
"rstrip": false,
|
| 291 |
+
"normalized": false,
|
| 292 |
+
"special": true
|
| 293 |
+
},
|
| 294 |
+
"248076": {
|
| 295 |
+
"content": "<|audio_pad|>",
|
| 296 |
+
"single_word": false,
|
| 297 |
+
"lstrip": false,
|
| 298 |
+
"rstrip": false,
|
| 299 |
+
"normalized": false,
|
| 300 |
+
"special": true
|
| 301 |
+
}
|
| 302 |
+
},
|
| 303 |
+
"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 (preserve_thinking is defined and preserve_thinking is true) or (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 | string if args_value is string else args_value | tojson | safe %}\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 %}"
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| 304 |
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}
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