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README.md

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+
+---
+
+base_model:
+- FPHam/L3-8B-Everything-COT
+- ChaoticNeutrals/Domain-Fusion-L3-8B
+- Ayush-1722/Meta-Llama-3-8B-Instruct-Summarize-v0.2-24K-LoRANET-Merged
+- Sao10K/L3-8B-Niitama-v1
+- nothingiisreal/L3-8B-Celeste-V1.2
+- Orenguteng/Llama-3-8B-Lexi-Uncensored
+- OEvortex/Emotional-llama-8B
+- Sao10K/L3-8B-Lunaris-v1
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+
+---
+
+[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory)
+
+
+# QuantFactory/L3-Luna-8B-GGUF
+This is quantized version of [Casual-Autopsy/L3-Luna-8B](https://huggingface.co/Casual-Autopsy/L3-Luna-8B) created using llama.cpp
+
+# Original Model Card
+
+# merge
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [Sao10K/L3-8B-Lunaris-v1](https://huggingface.co/Sao10K/L3-8B-Lunaris-v1) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [FPHam/L3-8B-Everything-COT](https://huggingface.co/FPHam/L3-8B-Everything-COT)
+* [ChaoticNeutrals/Domain-Fusion-L3-8B](https://huggingface.co/ChaoticNeutrals/Domain-Fusion-L3-8B)
+* [Ayush-1722/Meta-Llama-3-8B-Instruct-Summarize-v0.2-24K-LoRANET-Merged](https://huggingface.co/Ayush-1722/Meta-Llama-3-8B-Instruct-Summarize-v0.2-24K-LoRANET-Merged)
+* [Sao10K/L3-8B-Niitama-v1](https://huggingface.co/Sao10K/L3-8B-Niitama-v1)
+* [nothingiisreal/L3-8B-Celeste-V1.2](https://huggingface.co/nothingiisreal/L3-8B-Celeste-V1.2)
+* [Orenguteng/Llama-3-8B-Lexi-Uncensored](https://huggingface.co/Orenguteng/Llama-3-8B-Lexi-Uncensored)
+* [OEvortex/Emotional-llama-8B](https://huggingface.co/OEvortex/Emotional-llama-8B)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: Sao10K/L3-8B-Lunaris-v1
+  - model: FPHam/L3-8B-Everything-COT
+    parameters:
+        density: 0.5
+        weight: 0.1
+  - model: Ayush-1722/Meta-Llama-3-8B-Instruct-Summarize-v0.2-24K-LoRANET-Merged
+    parameters:
+        density: 0.5
+        weight: 0.1
+  - model: OEvortex/Emotional-llama-8B
+    parameters:
+        density: 0.5
+        weight: 0.1
+  - model: ChaoticNeutrals/Domain-Fusion-L3-8B
+    parameters:
+        density: 0.75
+        weight: 0.05
+  - model: nothingiisreal/L3-8B-Celeste-V1.2
+    parameters:
+        density: 0.75
+        weight: 0.05
+  - model: Orenguteng/Llama-3-8B-Lexi-Uncensored
+    parameters:
+        density: 0.75
+        weight: 0.05
+  - model: Sao10K/L3-8B-Niitama-v1
+    parameters:
+        density: 0.75
+        weight: 0.05
+base_model: Sao10K/L3-8B-Lunaris-v1
+merge_method: ties
+parameters:
+  normalize: true
+dtype: bfloat16
+```
+