Create README.md

README.md

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+---
+base_model:
+- macadeliccc/WestLake-7B-v2-laser-truthy-dpo
+- ChaoticNeutrals/This_is_fine_7B
+library_name: transformers
+tags:
+- mistral
+- quantized
+- text-generation-inference
+- mergekit
+- merge
+pipeline_tag: text-generation
+inference: false
+---
+
+# **GGUF-Imatrix quantizations for [ChaoticNeutrals/Prodigy_7B](https://huggingface.co/ChaoticNeutrals/Prodigy_7B/).**
+
+*If you want any specific quantization to be added, feel free to ask.*
+
+All credits belong to the [creator](https://huggingface.co/ChaoticNeutrals/).
+
+`Base⇢ GGUF(F16)⇢ Imatrix-Data(F16)⇢ GGUF(Imatrix-Quants)`
+
+The new **IQ3_S** quant-option has shown to be better than the old Q3_K_S, so I added that instead of the later. Only supported in `koboldcpp-1.59.1` or higher.
+
+Using [llama.cpp](https://github.com/ggerganov/llama.cpp/)-[b2277](https://github.com/ggerganov/llama.cpp/releases/tag/b2277).
+
+For --imatrix data, `imatrix-Prodigy_7B-F16.dat` was used.
+
+# Original model information:
+
+# Wing
+
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/626dfb8786671a29c715f8a9/S-E_CADzfAg3xaVX01rdx.jpeg)
+
+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 SLERP merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* [macadeliccc/WestLake-7B-v2-laser-truthy-dpo](https://huggingface.co/macadeliccc/WestLake-7B-v2-laser-truthy-dpo)
+* [ChaoticNeutrals/This_is_fine_7B](https://huggingface.co/ChaoticNeutrals/This_is_fine_7B)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+  - sources:
+      - model: ChaoticNeutrals/This_is_fine_7B
+        layer_range: [0, 32]
+      - model: macadeliccc/WestLake-7B-v2-laser-truthy-dpo
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: macadeliccc/WestLake-7B-v2-laser-truthy-dpo
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: float16
+```