Text Generation
GGUF
Safetensors
English
Turkish
plc
iec-61131-3
structured-text
code-generation
ollama
mikrodev
ALB
AdvanceLogicBuilder
MikrodevLogicStudio
advance-logic-builder
mikrodev-logicstudio
gemma
conversational
Instructions to use Mikrodev/stcoder-gemma4-12b-gguf 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 Mikrodev/stcoder-gemma4-12b-gguf 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 Mikrodev/stcoder-gemma4-12b-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf Mikrodev/stcoder-gemma4-12b-gguf:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Mikrodev/stcoder-gemma4-12b-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf Mikrodev/stcoder-gemma4-12b-gguf: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 Mikrodev/stcoder-gemma4-12b-gguf:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Mikrodev/stcoder-gemma4-12b-gguf: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 Mikrodev/stcoder-gemma4-12b-gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Mikrodev/stcoder-gemma4-12b-gguf:Q4_K_M
Use Docker
docker model run hf.co/Mikrodev/stcoder-gemma4-12b-gguf:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use Mikrodev/stcoder-gemma4-12b-gguf with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Mikrodev/stcoder-gemma4-12b-gguf" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Mikrodev/stcoder-gemma4-12b-gguf", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Mikrodev/stcoder-gemma4-12b-gguf:Q4_K_M
- Ollama
How to use Mikrodev/stcoder-gemma4-12b-gguf with Ollama:
ollama run hf.co/Mikrodev/stcoder-gemma4-12b-gguf:Q4_K_M
- Unsloth Studio
How to use Mikrodev/stcoder-gemma4-12b-gguf 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 Mikrodev/stcoder-gemma4-12b-gguf 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 Mikrodev/stcoder-gemma4-12b-gguf to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Mikrodev/stcoder-gemma4-12b-gguf to start chatting
- Docker Model Runner
How to use Mikrodev/stcoder-gemma4-12b-gguf with Docker Model Runner:
docker model run hf.co/Mikrodev/stcoder-gemma4-12b-gguf:Q4_K_M
- Lemonade
How to use Mikrodev/stcoder-gemma4-12b-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Mikrodev/stcoder-gemma4-12b-gguf:Q4_K_M
Run and chat with the model
lemonade run user.stcoder-gemma4-12b-gguf-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- lora_adapter/README.md +210 -0
- lora_adapter/adapter_config.json +44 -0
- lora_adapter/adapter_model.safetensors +3 -0
- lora_adapter/chat_template.jinja +70 -0
- lora_adapter/processor_config.json +62 -0
- lora_adapter/tokenizer.json +3 -0
- lora_adapter/tokenizer_config.json +290 -0
.gitattributes
CHANGED
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@@ -36,3 +36,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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gemma4_12b-tc.q4_k_m.gguf filter=lfs diff=lfs merge=lfs -text
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gemma4_12b-tc.q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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gemma4_12b-tc.q6_k.gguf filter=lfs diff=lfs merge=lfs -text
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gemma4_12b-tc.q4_k_m.gguf filter=lfs diff=lfs merge=lfs -text
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gemma4_12b-tc.q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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gemma4_12b-tc.q6_k.gguf filter=lfs diff=lfs merge=lfs -text
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lora_adapter/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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lora_adapter/README.md
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| 1 |
+
---
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| 2 |
+
base_model: unsloth/gemma-4-12b-it
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library_name: peft
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pipeline_tag: text-generation
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tags:
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- base_model:adapter:unsloth/gemma-4-12b-it
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| 7 |
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- lora
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- sft
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- transformers
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- trl
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| 11 |
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- unsloth
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---
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| 13 |
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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| 31 |
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- **Model type:** [More Information Needed]
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| 32 |
+
- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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| 41 |
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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| 53 |
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### Downstream Use [optional]
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| 56 |
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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| 57 |
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| 58 |
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[More Information Needed]
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| 59 |
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| 60 |
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### Out-of-Scope Use
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| 62 |
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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| 63 |
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| 64 |
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[More Information Needed]
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| 65 |
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| 66 |
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## Bias, Risks, and Limitations
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| 67 |
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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| 69 |
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[More Information Needed]
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| 71 |
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### Recommendations
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| 73 |
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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| 78 |
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## How to Get Started with the Model
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| 79 |
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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| 136 |
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[More Information Needed]
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| 138 |
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#### Summary
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| 140 |
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## Model Examination [optional]
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| 144 |
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| 145 |
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<!-- Relevant interpretability work for the model goes here -->
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| 146 |
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| 147 |
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[More Information Needed]
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| 148 |
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| 149 |
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## Environmental Impact
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| 150 |
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| 151 |
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 152 |
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| 153 |
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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| 154 |
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| 155 |
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- **Hardware Type:** [More Information Needed]
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| 156 |
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- **Hours used:** [More Information Needed]
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| 157 |
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- **Cloud Provider:** [More Information Needed]
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| 158 |
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- **Compute Region:** [More Information Needed]
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| 159 |
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- **Carbon Emitted:** [More Information Needed]
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| 160 |
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## Technical Specifications [optional]
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| 162 |
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| 163 |
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### Model Architecture and Objective
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| 164 |
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[More Information Needed]
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### Compute Infrastructure
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| 168 |
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[More Information Needed]
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| 170 |
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| 171 |
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#### Hardware
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| 172 |
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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| 182 |
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| 183 |
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**BibTeX:**
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| 184 |
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[More Information Needed]
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| 186 |
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| 187 |
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**APA:**
|
| 188 |
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| 189 |
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[More Information Needed]
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| 190 |
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| 191 |
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## Glossary [optional]
|
| 192 |
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| 193 |
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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| 194 |
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| 195 |
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[More Information Needed]
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| 196 |
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| 197 |
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## More Information [optional]
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| 198 |
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[More Information Needed]
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| 200 |
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## Model Card Authors [optional]
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| 202 |
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| 203 |
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[More Information Needed]
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| 204 |
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| 205 |
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## Model Card Contact
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| 206 |
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| 207 |
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[More Information Needed]
|
| 208 |
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### Framework versions
|
| 209 |
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| 210 |
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- PEFT 0.19.1
|
lora_adapter/adapter_config.json
ADDED
|
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{
|
| 2 |
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"alora_invocation_tokens": null,
|
| 3 |
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"alpha_pattern": {},
|
| 4 |
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"arrow_config": null,
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| 5 |
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"auto_mapping": {
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| 6 |
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"base_model_class": "Gemma4UnifiedForConditionalGeneration",
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| 7 |
+
"parent_library": "transformers.models.gemma4_unified.modeling_gemma4_unified",
|
| 8 |
+
"unsloth_fixed": true
|
| 9 |
+
},
|
| 10 |
+
"base_model_name_or_path": "unsloth/gemma-4-12b-it",
|
| 11 |
+
"bias": "none",
|
| 12 |
+
"corda_config": null,
|
| 13 |
+
"ensure_weight_tying": false,
|
| 14 |
+
"eva_config": null,
|
| 15 |
+
"exclude_modules": null,
|
| 16 |
+
"fan_in_fan_out": false,
|
| 17 |
+
"inference_mode": true,
|
| 18 |
+
"init_lora_weights": true,
|
| 19 |
+
"layer_replication": null,
|
| 20 |
+
"layers_pattern": null,
|
| 21 |
+
"layers_to_transform": null,
|
| 22 |
+
"loftq_config": {},
|
| 23 |
+
"lora_alpha": 32,
|
| 24 |
+
"lora_bias": false,
|
| 25 |
+
"lora_dropout": 0.0,
|
| 26 |
+
"lora_ga_config": null,
|
| 27 |
+
"megatron_config": null,
|
| 28 |
+
"megatron_core": "megatron.core",
|
| 29 |
+
"modules_to_save": null,
|
| 30 |
+
"peft_type": "LORA",
|
| 31 |
+
"peft_version": "0.19.1",
|
| 32 |
+
"qalora_group_size": 16,
|
| 33 |
+
"r": 32,
|
| 34 |
+
"rank_pattern": {},
|
| 35 |
+
"revision": null,
|
| 36 |
+
"target_modules": "(?:.*?(?:language|text).*?(?:self_attn|attention|attn|mixer|mlp|feed_forward|ffn|dense|mixer).*?(?:q_proj|k_proj|v_proj|o_proj|gate_proj|up_proj|down_proj))|(?:\\bmodel\\.layers\\.[\\d]{1,}\\.(?:self_attn|attention|attn|mixer|mlp|feed_forward|ffn|dense|mixer)\\.(?:(?:q_proj|k_proj|v_proj|o_proj|gate_proj|up_proj|down_proj)))",
|
| 37 |
+
"target_parameters": null,
|
| 38 |
+
"task_type": "CAUSAL_LM",
|
| 39 |
+
"trainable_token_indices": null,
|
| 40 |
+
"use_bdlora": null,
|
| 41 |
+
"use_dora": false,
|
| 42 |
+
"use_qalora": false,
|
| 43 |
+
"use_rslora": false
|
| 44 |
+
}
|
lora_adapter/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1907d07ef19bc05a0b7e39e61c43f333f81f12d89988acf7674537c4c322e649
|
| 3 |
+
size 524648560
|
lora_adapter/chat_template.jinja
ADDED
|
@@ -0,0 +1,70 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{{ bos_token }}{%- macro strip_thinking(text) -%}
|
| 2 |
+
{%- set ns = namespace(result='') -%}
|
| 3 |
+
{%- for part in text.split('<channel|>') -%}
|
| 4 |
+
{%- if '<|channel>' in part -%}
|
| 5 |
+
{%- set ns.result = ns.result + part.split('<|channel>')[0] -%}
|
| 6 |
+
{%- else -%}
|
| 7 |
+
{%- set ns.result = ns.result + part -%}
|
| 8 |
+
{%- endif -%}
|
| 9 |
+
{%- endfor -%}
|
| 10 |
+
{{- ns.result | trim -}}
|
| 11 |
+
{%- endmacro -%}
|
| 12 |
+
{%- set thinking = enable_thinking is defined and enable_thinking -%}
|
| 13 |
+
{%- set loop_messages = messages -%}
|
| 14 |
+
{%- if messages[0]['role'] in ['system', 'developer'] or thinking -%}
|
| 15 |
+
{{ '<|turn>system
|
| 16 |
+
' }}
|
| 17 |
+
{%- if thinking -%}
|
| 18 |
+
{{ '<|think|>
|
| 19 |
+
' }}
|
| 20 |
+
{%- endif -%}
|
| 21 |
+
{%- if messages[0]['role'] in ['system', 'developer'] -%}
|
| 22 |
+
{{ messages[0]['content'] | trim }}
|
| 23 |
+
{%- set loop_messages = messages[1:] -%}
|
| 24 |
+
{%- endif -%}
|
| 25 |
+
{{ '<turn|>
|
| 26 |
+
' }}
|
| 27 |
+
{%- endif -%}
|
| 28 |
+
{%- for message in loop_messages -%}
|
| 29 |
+
{%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
|
| 30 |
+
{{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
|
| 31 |
+
{%- endif -%}
|
| 32 |
+
{%- if (message['role'] == 'assistant') -%}
|
| 33 |
+
{%- set role = "model" -%}
|
| 34 |
+
{%- else -%}
|
| 35 |
+
{%- set role = message['role'] -%}
|
| 36 |
+
{%- endif -%}
|
| 37 |
+
{{ '<|turn>' + role + '
|
| 38 |
+
' }}
|
| 39 |
+
{%- if message['content'] is string -%}
|
| 40 |
+
{%- if role == "model" -%}
|
| 41 |
+
{{ strip_thinking(message['content']) }}
|
| 42 |
+
{%- else -%}
|
| 43 |
+
{{ message['content'] | trim }}
|
| 44 |
+
{%- endif -%}
|
| 45 |
+
{%- elif message['content'] is iterable -%}
|
| 46 |
+
{%- for item in message['content'] -%}
|
| 47 |
+
{%- if item['type'] == 'audio' -%}
|
| 48 |
+
{{ '<|audio|>' }}
|
| 49 |
+
{%- elif item['type'] == 'image' -%}
|
| 50 |
+
{{ '<|image|>' }}
|
| 51 |
+
{%- elif item['type'] == 'video' -%}
|
| 52 |
+
{{ '<|video|>' }}
|
| 53 |
+
{%- elif item['type'] == 'text' -%}
|
| 54 |
+
{%- if role == "model" -%}
|
| 55 |
+
{{ strip_thinking(item['text']) }}
|
| 56 |
+
{%- else -%}
|
| 57 |
+
{{ item['text'] | trim }}
|
| 58 |
+
{%- endif -%}
|
| 59 |
+
{%- endif -%}
|
| 60 |
+
{%- endfor -%}
|
| 61 |
+
{%- else -%}
|
| 62 |
+
{{ raise_exception("Invalid content type") }}
|
| 63 |
+
{%- endif -%}
|
| 64 |
+
{{ '<turn|>
|
| 65 |
+
' }}
|
| 66 |
+
{%- endfor -%}
|
| 67 |
+
{%- if add_generation_prompt -%}
|
| 68 |
+
{{'<|turn>model
|
| 69 |
+
'}}
|
| 70 |
+
{%- endif -%}
|
lora_adapter/processor_config.json
ADDED
|
@@ -0,0 +1,62 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"audio_ms_per_token": 40,
|
| 3 |
+
"audio_seq_length": 750,
|
| 4 |
+
"feature_extractor": {
|
| 5 |
+
"audio_samples_per_token": 640,
|
| 6 |
+
"feature_extractor_type": "Gemma4UnifiedAudioFeatureExtractor",
|
| 7 |
+
"feature_size": 640,
|
| 8 |
+
"padding_side": "right",
|
| 9 |
+
"padding_value": 0.0,
|
| 10 |
+
"return_attention_mask": true,
|
| 11 |
+
"sampling_rate": 16000
|
| 12 |
+
},
|
| 13 |
+
"image_processor": {
|
| 14 |
+
"do_convert_rgb": true,
|
| 15 |
+
"do_normalize": false,
|
| 16 |
+
"do_rescale": true,
|
| 17 |
+
"do_resize": true,
|
| 18 |
+
"image_mean": [
|
| 19 |
+
0.0,
|
| 20 |
+
0.0,
|
| 21 |
+
0.0
|
| 22 |
+
],
|
| 23 |
+
"image_processor_type": "Gemma4UnifiedImageProcessor",
|
| 24 |
+
"image_std": [
|
| 25 |
+
1.0,
|
| 26 |
+
1.0,
|
| 27 |
+
1.0
|
| 28 |
+
],
|
| 29 |
+
"max_soft_tokens": 280,
|
| 30 |
+
"patch_size": 16,
|
| 31 |
+
"pooling_kernel_size": 3,
|
| 32 |
+
"resample": 3,
|
| 33 |
+
"rescale_factor": 0.00392156862745098
|
| 34 |
+
},
|
| 35 |
+
"image_seq_length": 280,
|
| 36 |
+
"processor_class": "Gemma4UnifiedProcessor",
|
| 37 |
+
"video_processor": {
|
| 38 |
+
"do_convert_rgb": true,
|
| 39 |
+
"do_normalize": true,
|
| 40 |
+
"do_rescale": true,
|
| 41 |
+
"do_resize": true,
|
| 42 |
+
"do_sample_frames": true,
|
| 43 |
+
"image_mean": [
|
| 44 |
+
0.0,
|
| 45 |
+
0.0,
|
| 46 |
+
0.0
|
| 47 |
+
],
|
| 48 |
+
"image_std": [
|
| 49 |
+
1.0,
|
| 50 |
+
1.0,
|
| 51 |
+
1.0
|
| 52 |
+
],
|
| 53 |
+
"max_soft_tokens": 70,
|
| 54 |
+
"num_frames": 32,
|
| 55 |
+
"patch_size": 16,
|
| 56 |
+
"pooling_kernel_size": 3,
|
| 57 |
+
"resample": 3,
|
| 58 |
+
"rescale_factor": 0.00392156862745098,
|
| 59 |
+
"return_metadata": false,
|
| 60 |
+
"video_processor_type": "Gemma4UnifiedVideoProcessor"
|
| 61 |
+
}
|
| 62 |
+
}
|
lora_adapter/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f
|
| 3 |
+
size 32169626
|
lora_adapter/tokenizer_config.json
ADDED
|
@@ -0,0 +1,290 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
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|
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|
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|
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|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"audio_token": "<|audio|>",
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"boa_token": "<|audio>",
|
| 5 |
+
"boi_token": "<|image>",
|
| 6 |
+
"bos_token": "<bos>",
|
| 7 |
+
"eoa_token": "<audio|>",
|
| 8 |
+
"eoc_token": "<channel|>",
|
| 9 |
+
"eoi_token": "<image|>",
|
| 10 |
+
"eos_token": "<turn|>",
|
| 11 |
+
"eot_token": "<turn|>",
|
| 12 |
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"escape_token": "<|\"|>",
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| 13 |
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"etc_token": "<tool_call|>",
|
| 14 |
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"etd_token": "<tool|>",
|
| 15 |
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"etr_token": "<tool_response|>",
|
| 16 |
+
"extra_special_tokens": [
|
| 17 |
+
"<|video|>"
|
| 18 |
+
],
|
| 19 |
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"image_token": "<|image|>",
|
| 20 |
+
"is_local": false,
|
| 21 |
+
"local_files_only": false,
|
| 22 |
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"mask_token": "<mask>",
|
| 23 |
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"model_max_length": 262144,
|
| 24 |
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|
| 25 |
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"audio_token": "<|audio|>",
|
| 26 |
+
"boa_token": "<|audio>",
|
| 27 |
+
"boi_token": "<|image>",
|
| 28 |
+
"eoa_token": "<audio|>",
|
| 29 |
+
"eoc_token": "<channel|>",
|
| 30 |
+
"eoi_token": "<image|>",
|
| 31 |
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"eot_token": "<turn|>",
|
| 32 |
+
"escape_token": "<|\"|>",
|
| 33 |
+
"etc_token": "<tool_call|>",
|
| 34 |
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"etd_token": "<tool|>",
|
| 35 |
+
"etr_token": "<tool_response|>",
|
| 36 |
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"image_token": "<|image|>",
|
| 37 |
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"soc_token": "<|channel>",
|
| 38 |
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|
| 39 |
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"stc_token": "<|tool_call>",
|
| 40 |
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"std_token": "<|tool>",
|
| 41 |
+
"str_token": "<|tool_response>",
|
| 42 |
+
"think_token": "<|think|>"
|
| 43 |
+
},
|
| 44 |
+
"pad_token": "<pad>",
|
| 45 |
+
"padding_side": "right",
|
| 46 |
+
"processor_class": "Gemma4UnifiedProcessor",
|
| 47 |
+
"response_schema": {
|
| 48 |
+
"properties": {
|
| 49 |
+
"content": {
|
| 50 |
+
"type": "string"
|
| 51 |
+
},
|
| 52 |
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"role": {
|
| 53 |
+
"const": "assistant"
|
| 54 |
+
},
|
| 55 |
+
"thinking": {
|
| 56 |
+
"type": "string"
|
| 57 |
+
},
|
| 58 |
+
"tool_calls": {
|
| 59 |
+
"items": {
|
| 60 |
+
"properties": {
|
| 61 |
+
"function": {
|
| 62 |
+
"properties": {
|
| 63 |
+
"arguments": {
|
| 64 |
+
"additionalProperties": {},
|
| 65 |
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"type": "object",
|
| 66 |
+
"x-parser": "gemma4-tool-call"
|
| 67 |
+
},
|
| 68 |
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"name": {
|
| 69 |
+
"type": "string"
|
| 70 |
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}
|
| 71 |
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},
|
| 72 |
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"type": "object",
|
| 73 |
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"x-regex": "call\\:(?P<name>\\w+)(?P<arguments>\\{.*\\})"
|
| 74 |
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},
|
| 75 |
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"type": {
|
| 76 |
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"const": "function"
|
| 77 |
+
}
|
| 78 |
+
},
|
| 79 |
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"type": "object"
|
| 80 |
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},
|
| 81 |
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"type": "array",
|
| 82 |
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"x-regex-iterator": "<\\|tool_call>(.*?)<tool_call\\|>"
|
| 83 |
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}
|
| 84 |
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},
|
| 85 |
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"type": "object",
|
| 86 |
+
"x-regex": "(\\<\\|channel\\>thought\\n(?P<thinking>.*?)\\<channel\\|\\>)?(?P<tool_calls>\\<\\|tool_call\\>.*\\<tool_call\\|\\>)?(?P<content>(?:(?!\\<turn\\|\\>)(?!\\<\\|tool_response\\>).)+)?(?:\\<turn\\|\\>|\\<\\|tool_response\\>)?"
|
| 87 |
+
},
|
| 88 |
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"soc_token": "<|channel>",
|
| 89 |
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"sot_token": "<|turn>",
|
| 90 |
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"stc_token": "<|tool_call>",
|
| 91 |
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"std_token": "<|tool>",
|
| 92 |
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"str_token": "<|tool_response>",
|
| 93 |
+
"think_token": "<|think|>",
|
| 94 |
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"tokenizer_class": "GemmaTokenizer",
|
| 95 |
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"unk_token": "<unk>",
|
| 96 |
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"added_tokens_decoder": {
|
| 97 |
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"0": {
|
| 98 |
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"content": "<pad>",
|
| 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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},
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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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"normalized": false,
|
| 111 |
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|
| 112 |
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},
|
| 113 |
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"2": {
|
| 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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"3": {
|
| 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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},
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| 129 |
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|
| 130 |
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| 131 |
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| 132 |
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| 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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"46": {
|
| 138 |
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"content": "<|tool>",
|
| 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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"special": true
|
| 144 |
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},
|
| 145 |
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"47": {
|
| 146 |
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"content": "<tool|>",
|
| 147 |
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| 148 |
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| 149 |
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|
| 150 |
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|
| 151 |
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"special": true
|
| 152 |
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},
|
| 153 |
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"48": {
|
| 154 |
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"content": "<|tool_call>",
|
| 155 |
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|
| 156 |
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|
| 157 |
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|
| 158 |
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|
| 159 |
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|
| 160 |
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},
|
| 161 |
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"49": {
|
| 162 |
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"content": "<tool_call|>",
|
| 163 |
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|
| 164 |
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|
| 165 |
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|
| 166 |
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|
| 167 |
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"special": true
|
| 168 |
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},
|
| 169 |
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"50": {
|
| 170 |
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"content": "<|tool_response>",
|
| 171 |
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"single_word": false,
|
| 172 |
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"lstrip": false,
|
| 173 |
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|
| 174 |
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| 175 |
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|
| 176 |
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},
|
| 177 |
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"51": {
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| 178 |
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"content": "<tool_response|>",
|
| 179 |
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|
| 180 |
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| 181 |
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|
| 182 |
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|
| 183 |
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| 184 |
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},
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| 185 |
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"52": {
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| 186 |
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"content": "<|\"|>",
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| 187 |
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| 188 |
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| 189 |
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| 190 |
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| 191 |
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"special": true
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| 192 |
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},
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| 193 |
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| 194 |
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"content": "<|think|>",
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| 195 |
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| 196 |
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| 197 |
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| 198 |
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"normalized": false,
|
| 199 |
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"special": true
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| 200 |
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},
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| 201 |
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"100": {
|
| 202 |
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"content": "<|channel>",
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| 203 |
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| 204 |
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| 205 |
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| 206 |
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| 207 |
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| 208 |
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},
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| 209 |
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|
| 210 |
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|
| 211 |
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|
| 212 |
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| 213 |
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| 214 |
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| 215 |
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| 216 |
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},
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| 217 |
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"105": {
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| 218 |
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| 219 |
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| 220 |
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| 221 |
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| 224 |
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},
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| 225 |
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| 226 |
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| 227 |
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| 228 |
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| 229 |
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|
| 230 |
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|
| 231 |
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| 232 |
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},
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| 233 |
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| 234 |
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| 235 |
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|
| 238 |
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|
| 239 |
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|
| 240 |
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},
|
| 241 |
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|
| 242 |
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|
| 243 |
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|
| 244 |
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|
| 245 |
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|
| 246 |
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|
| 247 |
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|
| 248 |
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},
|
| 249 |
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|
| 250 |
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"content": "<|image|>",
|
| 251 |
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|
| 252 |
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|
| 253 |
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|
| 254 |
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|
| 255 |
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|
| 256 |
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},
|
| 257 |
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"258881": {
|
| 258 |
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"content": "<|audio|>",
|
| 259 |
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|
| 260 |
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|
| 261 |
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|
| 262 |
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|
| 263 |
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|
| 264 |
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},
|
| 265 |
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"258882": {
|
| 266 |
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"content": "<image|>",
|
| 267 |
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|
| 268 |
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|
| 269 |
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|
| 270 |
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|
| 271 |
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|
| 272 |
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},
|
| 273 |
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"258883": {
|
| 274 |
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"content": "<audio|>",
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| 279 |
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| 280 |
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},
|
| 281 |
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|
| 282 |
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| 283 |
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| 284 |
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| 285 |
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|
| 286 |
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|
| 287 |
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"special": true
|
| 288 |
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}
|
| 289 |
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}
|
| 290 |
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}
|