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README.md

@@ -1,199 +1,48 @@
 ---
+base_model:
+- google/gemma-2-2b-it
+- zake7749/gemma-2-2b-it-chinese-kyara-dpo
 library_name: transformers
-tags: []
----
-
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
-
-
-
-## Model Details
-
-### Model Description
-
-<!-- Provide a longer summary of what this model is. -->
-
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
-
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
-
-### Model Sources [optional]
-
-<!-- Provide the basic links for the model. -->
-
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-
-## Uses
-
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-
-### Direct Use
-
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
-
-[More Information Needed]
-
-### Downstream Use [optional]
-
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-
-[More Information Needed]
-
-### Out-of-Scope Use
-
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
-
-[More Information Needed]
-
-## Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
-
-### Recommendations
-
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-
-## How to Get Started with the Model
-
-Use the code below to get started with the model.
-
-[More Information Needed]
-
-## Training Details
-
-### Training Data
-
-<!-- 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. -->
-
-[More Information Needed]
-
-### Training Procedure
-
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-
-#### Preprocessing [optional]
-
-[More Information Needed]
-
-
-#### Training Hyperparameters
+tags:
+- mergekit
+- merge
 
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-
-#### Speeds, Sizes, Times [optional]
-
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-
-[More Information Needed]
-
-## Evaluation
-
-<!-- This section describes the evaluation protocols and provides the results. -->
-
-### Testing Data, Factors & Metrics
-
-#### Testing Data
-
-<!-- This should link to a Dataset Card if possible. -->
-
-[More Information Needed]
-
-#### Factors
-
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-
-[More Information Needed]
-
-#### Metrics
-
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-
-[More Information Needed]
-
-### Results
-
-[More Information Needed]
-
-#### Summary
-
-
-
-## Model Examination [optional]
-
-<!-- Relevant interpretability work for the model goes here -->
-
-[More Information Needed]
-
-## Environmental Impact
-
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-
-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).
-
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
-
-## Technical Specifications [optional]
-
-### Model Architecture and Objective
-
-[More Information Needed]
-
-### Compute Infrastructure
-
-[More Information Needed]
-
-#### Hardware
-
-[More Information Needed]
-
-#### Software
-
-[More Information Needed]
-
-## Citation [optional]
-
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
-
-**BibTeX:**
-
-[More Information Needed]
-
-**APA:**
-
-[More Information Needed]
+---
+# merged_model
 
-## Glossary [optional]
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
 
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+## Merge Details
+### Merge Method
 
-[More Information Needed]
+This model was merged using the SLERP merge method.
 
-## More Information [optional]
+### Models Merged
 
-[More Information Needed]
+The following models were included in the merge:
+* [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it)
+* [zake7749/gemma-2-2b-it-chinese-kyara-dpo](https://huggingface.co/zake7749/gemma-2-2b-it-chinese-kyara-dpo)
 
-## Model Card Authors [optional]
+### Configuration
 
-[More Information Needed]
+The following YAML configuration was used to produce this model:
 
-## Model Card Contact
+```yaml
+slices:
+  - sources:
+      - model: zake7749/gemma-2-2b-it-chinese-kyara-dpo
+        layer_range: [0, 26]
+      - model: google/gemma-2-2b-it
+        layer_range: [0, 26]    
+merge_method: slerp
+base_model: zake7749/gemma-2-2b-it-chinese-kyara-dpo
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.25, 0.5, 0.75, 1]
+    - filter: mlp
+      value: [1, 0.75, 0.5, 0.25, 0]
+    - value: 0.5
+dtype: bfloat16
 
-[More Information Needed]
+```

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "./merged_model",
+  "_name_or_path": "zake7749/gemma-2-2b-it-chinese-kyara-dpo",
   "architectures": [
     "Gemma2ForCausalLM"
   ],
@@ -26,7 +26,7 @@
   "rms_norm_eps": 1e-06,
   "rope_theta": 10000.0,
   "sliding_window": 4096,
-  "torch_dtype": "float32",
+  "torch_dtype": "bfloat16",
   "transformers_version": "4.46.2",
   "use_cache": true,
   "vocab_size": 256000

mergekit_config.yml

@@ -0,0 +1,16 @@
+slices:
+  - sources:
+      - model: zake7749/gemma-2-2b-it-chinese-kyara-dpo
+        layer_range: [0, 26]
+      - model: google/gemma-2-2b-it
+        layer_range: [0, 26]    
+merge_method: slerp
+base_model: zake7749/gemma-2-2b-it-chinese-kyara-dpo
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.25, 0.5, 0.75, 1]
+    - filter: mlp
+      value: [1, 0.75, 0.5, 0.25, 0]
+    - value: 0.5
+dtype: bfloat16

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