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Text Generation
PEFT
Safetensors
Transformers
lora
sft
trl
unsloth
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  1. README.md +210 -0
  2. adapter_config.json +53 -0
  3. adapter_model.safetensors +3 -0
  4. chat_template.jinja +81 -0
  5. optimizer.pt +3 -0
  6. rng_state.pth +3 -0
  7. scheduler.pt +3 -0
  8. special_tokens_map.json +130 -0
  9. tokenizer.json +0 -0
  10. tokenizer_config.json +1939 -0
  11. trainer_state.json +104 -0
  12. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ base_model: meituan-longcat/LongCat-Flash-Lite
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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:meituan-longcat/LongCat-Flash-Lite
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+ - lora
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+ - sft
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+ - transformers
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+ - trl
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+ - unsloth
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+ ---
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+
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+ # Model Card for Model ID
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+
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+
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+ ## Model Details
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+
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+ ### Model Description
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+
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+ <!-- Provide a longer summary of what this model is. -->
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+
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+
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+
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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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+ - **Model type:** [More Information Needed]
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+ - **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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+
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+ ### Model Sources [optional]
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+
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+ <!-- Provide the basic links for the model. -->
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+
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+ - **Repository:** [More Information Needed]
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+ - **Paper [optional]:** [More Information Needed]
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+ - **Demo [optional]:** [More Information Needed]
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+
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+ ## Uses
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+
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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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+
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+ ### Direct Use
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+
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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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+
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+ [More Information Needed]
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+
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+ ### Downstream Use [optional]
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+
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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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+
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+ [More Information Needed]
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+
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+ ### Out-of-Scope Use
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+
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+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+
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+ [More Information Needed]
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+
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+ ## Bias, Risks, and Limitations
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+
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+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+
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+ [More Information Needed]
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+
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+ ### Recommendations
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+
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+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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+
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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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+
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+ ## How to Get Started with the Model
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+
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+ Use the code below to get started with the model.
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+
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+ [More Information Needed]
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+
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+ ## Training Details
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+
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+ ### Training Data
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+
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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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+
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+ [More Information Needed]
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+
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+ ### Training Procedure
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+
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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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+
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+ #### Preprocessing [optional]
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+
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+ [More Information Needed]
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+
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+
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+ #### Training Hyperparameters
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+
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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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+
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+ #### Speeds, Sizes, Times [optional]
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+
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+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+
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+ [More Information Needed]
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+
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+ ## Evaluation
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+
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+ <!-- This section describes the evaluation protocols and provides the results. -->
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+
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+ ### Testing Data, Factors & Metrics
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+
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+ #### Testing Data
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+
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+ <!-- This should link to a Dataset Card if possible. -->
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+
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+ [More Information Needed]
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+
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+ #### Factors
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+
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+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+
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+ [More Information Needed]
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+
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+ #### Metrics
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+
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+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+
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+ [More Information Needed]
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+
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+ ### Results
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+
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+ [More Information Needed]
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+
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+ #### Summary
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+
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+
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+
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+ ## Model Examination [optional]
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+
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+ <!-- Relevant interpretability work for the model goes here -->
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+
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+ [More Information Needed]
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+
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+ ## Environmental Impact
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+
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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 -->
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+
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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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+
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+ - **Hardware Type:** [More Information Needed]
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+ - **Hours used:** [More Information Needed]
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+ - **Cloud Provider:** [More Information Needed]
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+ - **Compute Region:** [More Information Needed]
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+ - **Carbon Emitted:** [More Information Needed]
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+
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+ ## Technical Specifications [optional]
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+
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+ ### Model Architecture and Objective
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+
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+ [More Information Needed]
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+
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+ ### Compute Infrastructure
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+
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+ [More Information Needed]
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+
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+ #### Hardware
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+
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+ [More Information Needed]
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+
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+ #### Software
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+
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+ [More Information Needed]
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+
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+ ## Citation [optional]
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+
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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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+
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+ **BibTeX:**
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+
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+ [More Information Needed]
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+
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+ **APA:**
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+
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+ [More Information Needed]
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+
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+ ## Glossary [optional]
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+
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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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+
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+ [More Information Needed]
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+
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+ ## More Information [optional]
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+
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+ [More Information Needed]
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+
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+ ## Model Card Authors [optional]
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+
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+ [More Information Needed]
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+
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+ ## Model Card Contact
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+
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+ [More Information Needed]
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+ ### Framework versions
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+
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+ - PEFT 0.18.1
adapter_config.json ADDED
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+ {
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+ "alora_invocation_tokens": null,
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+ "alpha_pattern": {},
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+ "arrow_config": null,
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+ "auto_mapping": {
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+ "base_model_class": "LongcatFlashNgramForCausalLM",
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+ "parent_library": "transformers_modules.meituan_hyphen_longcat.LongCat_hyphen_Flash_hyphen_Lite.b62b68827ead0b7fef3ba98b57f18484acaaec06.modeling_longcat_ngram",
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+ "unsloth_fixed": true
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+ },
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+ "base_model_name_or_path": "meituan-longcat/LongCat-Flash-Lite",
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+ "bias": "none",
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+ "corda_config": null,
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+ "ensure_weight_tying": false,
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+ "eva_config": null,
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+ "exclude_modules": null,
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+ "fan_in_fan_out": false,
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "layer_replication": null,
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+ "layers_pattern": null,
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+ "layers_to_transform": null,
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+ "loftq_config": {},
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+ "lora_alpha": 32,
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+ "lora_bias": false,
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+ "lora_dropout": 0.0,
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+ "megatron_config": null,
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+ "megatron_core": "megatron.core",
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+ "modules_to_save": null,
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+ "peft_type": "LORA",
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+ "peft_version": "0.18.1",
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+ "qalora_group_size": 16,
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+ "r": 64,
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+ "rank_pattern": {},
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+ "revision": null,
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+ "target_modules": [
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+ "q_proj",
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+ "gate_proj",
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+ "down_proj",
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+ "o_proj",
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+ "up_proj",
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+ "v_proj",
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+ "k_proj"
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+ ],
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+ "target_parameters": [
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+ "mlp.experts.gate_up_proj",
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+ "mlp.experts.down_proj"
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+ ],
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+ "task_type": "CAUSAL_LM",
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+ "trainable_token_indices": null,
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+ "use_dora": false,
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+ "use_qalora": false,
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+ "use_rslora": true
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+ }
adapter_model.safetensors ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ {%- set tool_choice = tool_choice | default('auto') %}
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+ {%- set ns = namespace(tool_types = [], last_query_index = -1) %}
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+
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+ {%- if tools and tool_choice != 'none' %}
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+ {{- "<longcat_tool_declare>\n"-}}
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+ {{- "# Tools\n" }}
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+ {{- "You have access to the following tools:\n\n" }}
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+ {%- for tool in tools %}
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+ {%- if tool.type not in ns.tool_types %}
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+ {%- set ns.tool_types = ns.tool_types + [tool.type] %}
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+ {{- "## Tool namespace: " ~ tool.type ~ "\n\n" }}
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+ {%- endif %}
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+ {%- if tool.type == 'code_interpreter' %}
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+ {%- set tool = {"type":"code_interpreter","function":{"name":"code_interpreter_preview","description":"The code will be executed in a stateful Jupyter notebook sandbox environment, only supports local computation, data processing, and file operations.\nCode sandbox environment (network isolated) Any external network requests or online API calls are prohibited.\nIf online functionality is needed, please use other permitted tools.\nCode will respond with the output of the execution or time out after 60.0 seconds. ","parameters":{"type":"object","properties":{"language":{"type":"string","description":"The programming language of the code to be executed. Available values: python (Default), java, go, js, ts, c, c++."},"code":{"type":"string","description":"Python code to be executed must not include the following:\n- Importing network libraries such as requests, httplib, etc.\n- Any form of HTTP requests.\n- External API calls.\n- Network port operations. Example: ```python\nimport pandas as pd\npd.DataFrame({'A':[1,2]})\n```"},"timeout":{"type":"number","description":"The maximum execution time of the code, in seconds. Default is 60.0."}}},"required":["code"]}} %}
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+ {%- endif %}
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+ {{- "### Tool name: " + tool.function.name + "\n" }}
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+ {{- "Description: " + tool.function.description + "\n\n" }}
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+ {{- "InputSchema: " + tool.function.parameters | tojson(ensure_ascii=False) + "\n\n" }}
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+ {%- endfor %}
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+ {{- '**Note**: For each function call, output the function name and arguments within the following XML format:\n<longcat_tool_call>{function-name}\n<longcat_arg_key>{arg-key-1}</longcat_arg_key>\n<longcat_arg_value>{arg-value-1}</longcat_arg_value>\n<longcat_arg_key>{arg-key-2}</longcat_arg_key>\n<longcat_arg_value>{arg-value-2}</longcat_arg_value>\n...\n</longcat_tool_call>\n' }}
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+ {{- "</longcat_tool_declare>"-}}
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+ {%- for idx in range(messages|length - 1) %}
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+ {%- set msg = messages[idx] %}
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+ {%- if msg.role == 'assistant' and not msg.tool_calls %}
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+ {%- set ns.last_query_index = idx %}
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+ {%- endif %}
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+ {%- endfor%}
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+ {%- endif %}
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+
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+ {%- for msg in messages %}
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+ {%- if msg.role == "system" %}
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+ {{- "<longcat_system>" + msg.content }}
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+ {%- elif msg.role == "user" %}
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+ {{- "<longcat_user>" }}
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+ {%- if msg["files"] %}
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+ {{- '<longcat_files>\n' ~ msg.files | tojson(indent=2) ~ '\n</longcat_files>' }}
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+ {%- endif %}
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+ {{- msg.content }}
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+ {%- elif msg.role == "assistant" %}
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+ {{- "<longcat_assistant>" }}
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+ {%- if enable_thinking == true and msg.reasoning_content and ns.tool_types != [] and loop.index0 > ns.last_query_index %}
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+ {{- "\n<longcat_think>\n" ~ msg.reasoning_content ~ "\n</longcat_think>\n" }}
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+ {%- endif %}
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+ {%- if msg.content%}
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+ {{- msg.content }}
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+ {%- endif %}
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+ {%- if msg.tool_calls %}
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+ {%- for tool_call in msg.tool_calls -%}
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+ {{- "<longcat_tool_call>" ~ tool_call.function.name ~ "\n" -}}
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+ {% set _args = tool_call.function.arguments %}
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+ {% for k, v in _args.items() %}
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+ {{- "<longcat_arg_key>" ~ k ~ "</longcat_arg_key>\n" -}}
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+ {{- "<longcat_arg_value>" ~ (v if v is string else v | tojson(ensure_ascii=False)) ~ "</longcat_arg_value>\n" -}}
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+ {% endfor %}
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+ {{- "</longcat_tool_call>\n" }}
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+ {%- endfor %}
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+ {%- endif %}
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+ {{- "</longcat_s>" -}}
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+ {%- elif msg.role == "tool" %}
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+ {%- if messages[loop.index0 - 1].role != "tool"%}
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+ {{- "<longcat_user>" -}}
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+ {%- endif %}
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+ {{- "<longcat_tool_response>" ~ msg.content ~ "</longcat_tool_response>"-}}
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+ {%- endif %}
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+ {%- endfor %}
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+ {%- if add_generation_prompt %}
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+ {%- if enable_thinking == true %}
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+ {{- " /think_on" }}
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+ {%- if thinking_budget %}
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+ {%- if thinking_budget < 1024 %}
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+ {%- set thinking_budget = 1024 %}
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+ {%- endif%}
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+ {{- "\nthinking_budget: < " ~ thinking_budget ~ "."}}
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+ {%- endif %}
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+ {{- " <longcat_assistant><longcat_think>\n"}}
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+ {%- elif enable_thinking == false %}
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+ {{- " /think_off <longcat_assistant><longcat_think>\n\n</longcat_think>\n" }}
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+ {%- else %}
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+ {{- "<longcat_assistant>" }}
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+ {%- endif %}
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+ {%- endif %}
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The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
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