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LilRg
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PRYMMAL-ECE-7B-SLERP-V6

Text Generation
Transformers
Safetensors
qwen2
mergekit
Merge
conversational
text-generation-inference
Inference Endpoints
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  1. README.md +36 -187
  2. config.json +2 -2
  3. mergekit_config.yml +16 -0
  4. model-00001-of-00004.safetensors +3 -0
  5. model-00002-of-00004.safetensors +3 -0
  6. model-00003-of-00004.safetensors +3 -0
  7. model-00004-of-00004.safetensors +3 -0
  8. model.safetensors.index.json +1 -346
README.md CHANGED
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  ---
 
 
 
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  library_name: transformers
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- tags: []
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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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- ## 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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- This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- - **Developed by:** [More Information Needed]
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- - **Funded by [optional]:** [More Information Needed]
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- - **Model type:** [More Information Needed]
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- - **License:** [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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- - **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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- <!-- 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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- ### Downstream Use [optional]
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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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- [More Information Needed]
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- ### Out-of-Scope Use
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- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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- [More Information Needed]
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- ## Bias, Risks, and Limitations
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- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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- ### Recommendations
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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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- ## How to Get Started with the Model
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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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- ### 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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- ## 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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- #### Factors
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- #### Metrics
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- ### Results
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- #### Summary
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- ## Model Examination [optional]
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- <!-- Relevant interpretability work for the model goes here -->
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- ## Environmental Impact
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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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- ## Technical Specifications [optional]
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- ### Model Architecture and Objective
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- ## Citation [optional]
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- **BibTeX:**
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- **APA:**
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- ## Glossary [optional]
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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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- [More Information Needed]
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- ## More Information [optional]
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- [More Information Needed]
 
 
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- ## Model Card Authors [optional]
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- ## Model Card Contact
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- [More Information Needed]
 
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  ---
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+ base_model:
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+ - Qwen/Qwen2.5-Math-7B
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+ - Tsunami-th/Tsunami-0.5x-7B-Instruct
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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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+ # merged_model
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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+ ## Merge Details
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+ ### Merge Method
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+ This model was merged using the SLERP merge method.
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+ ### Models Merged
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+ The following models were included in the merge:
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+ * [Qwen/Qwen2.5-Math-7B](https://huggingface.co/Qwen/Qwen2.5-Math-7B)
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+ * [Tsunami-th/Tsunami-0.5x-7B-Instruct](https://huggingface.co/Tsunami-th/Tsunami-0.5x-7B-Instruct)
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+ ### Configuration
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+ The following YAML configuration was used to produce this model:
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+ ```yaml
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+ slices:
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+ - sources:
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+ - model: Tsunami-th/Tsunami-0.5x-7B-Instruct
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+ layer_range: [0, 28]
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+ - model: Qwen/Qwen2.5-Math-7B
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+ layer_range: [0, 28]
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+ merge_method: slerp
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+ base_model: Tsunami-th/Tsunami-0.5x-7B-Instruct
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+ parameters:
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+ t:
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+ - filter: self_attn
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+ value: [0, 0.25, 0.5, 0.75, 1]
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+ - filter: mlp
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+ value: [1, 0.75, 0.5, 0.25, 0]
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+ - value: 0.5
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+ dtype: bfloat16
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+ ```
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