Update README.md

README.md

@@ -1,58 +1,62 @@
----
-base_model: []
-library_name: transformers
-tags:
-- mergekit
-- merge
-
----
-L3-SMB-Grand-Story-WTFrack-Instruct-18.05B
-
-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 passthrough merge method.
-
-### Models Merged
-
-The following models were included in the merge:
-* j:/Grand-Story-V1-F32-Ultra-Quality-16_5B
-* G:/7B/Meta-Llama-3-8B-Instruct
-
-### Configuration
-
-The following YAML configuration was used to produce this model:
-
-```yaml
-slices:
- - sources:
-   - model: G:/7B/Meta-Llama-3-8B-Instruct
-     layer_range: [0, 12]
- - sources:
-   - model: j:/Grand-Story-V1-F32-Ultra-Quality-16_5B
-     layer_range: [6, 70]
- - sources:
-   - model: G:/7B/Meta-Llama-3-8B-Instruct
-     layer_range: [31,32]
-     parameters:
-       scale:
-         - filter: o_proj
-           value: 0.25
-         - filter: down_proj
-           value: 0.25
-         - value: .50
- - sources:
-   - model: j:/Grand-Story-V1-F32-Ultra-Quality-16_5B
-     layer_range: [70,71]
-     parameters:
-       scale:
-         - filter: o_proj
-           value: 1
-         - filter: down_proj
-           value: 1
-         - value: 1
-merge_method: passthrough
-dtype: float16
-```
+---
+base_model: []
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+<h2>L3-SMB-Grand-Story-WTFrack-Instruct-18.05B</h2>
+
+For GGUFS and full model card please go to:
+
+[ https://huggingface.co/DavidAU/L3-SMB-Grand-Story-WTFrack-Instruct-18.05B-GGUF ]
+
+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 passthrough merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* j:/Grand-Story-V1-F32-Ultra-Quality-16_5B
+* G:/7B/Meta-Llama-3-8B-Instruct
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+ - sources:
+   - model: G:/7B/Meta-Llama-3-8B-Instruct
+     layer_range: [0, 12]
+ - sources:
+   - model: j:/Grand-Story-V1-F32-Ultra-Quality-16_5B
+     layer_range: [6, 70]
+ - sources:
+   - model: G:/7B/Meta-Llama-3-8B-Instruct
+     layer_range: [31,32]
+     parameters:
+       scale:
+         - filter: o_proj
+           value: 0.25
+         - filter: down_proj
+           value: 0.25
+         - value: .50
+ - sources:
+   - model: j:/Grand-Story-V1-F32-Ultra-Quality-16_5B
+     layer_range: [70,71]
+     parameters:
+       scale:
+         - filter: o_proj
+           value: 1
+         - filter: down_proj
+           value: 1
+         - value: 1
+merge_method: passthrough
+dtype: float16
+```