Create readme.md

README.md

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+---
+base_model: []
+tags:
+- gguf
+---
+
+# friend-8x7B-GGUF
+
+Quantized from fp16 with love.
+
+Uploading Q5_K_M for starters, other sizes available upon request.
+
+See original model card details below.
+
+
+---
+# friend-8x7B-hf
+![friends](https://files.catbox.moe/qlwy3m.png)
+
+Several-staged merge this time. Actually decent, from my testings.
+
+Use ChatML or Alpaca, both seemed to work though I liked the outputs from ChatML more.
+
+### temp-output-base:
+```yaml
+models:
+  - model: mistralai/Mixtral-8x7B-v0.1+/ai/LLM/tmp/pefts/daybreak-peft/mixtral-8x7b
+    parameters:
+      weight: 0.65
+  - model: mistralai/Mixtral-8x7B-v0.1+retrieval-bar/Mixtral-8x7B-v0.1_case-briefs
+    parameters:
+      weight: 0.25
+merge_method: task_arithmetic
+base_model: mistralai/Mixtral-8x7B-v0.1
+dtype: float16
+```
+
+### temp-output-instruct:
+```yaml
+models:
+  - model: mistralai/Mixtral-8x7B-Instruct-v0.1+SeanWu25/Mixtral_8x7b_Medicine
+    parameters:
+      weight: 0.33
+  - model: NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss
+    parameters:
+      weight: 0.15
+merge_method: task_arithmetic
+base_model: mistralai/Mixtral-8x7B-Instruct-v0.1
+dtype: float16
+```
+
+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:
+* ./temp-output-base
+* ./temp-output-instruct
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: ./temp-output-base
+  - model: ./temp-output-instruct
+merge_method: slerp
+base_model: ./temp-output-base
+parameters:
+  t:
+    - value: 0.5
+dtype: float16
+
+```