Update README.md

README.md

@@ -15,42 +15,55 @@ base_model: v000000/SyntheticMoist-11B-v2
 This model was converted to GGUF format from [`v000000/SyntheticMoist-11B-v2`](https://huggingface.co/v000000/SyntheticMoist-11B-v2) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
 Refer to the [original model card](https://huggingface.co/v000000/SyntheticMoist-11B-v2) for more details on the model.
 
-## Use with llama.cpp
-Install llama.cpp through brew (works on Mac and Linux)
-
-```bash
-brew install llama.cpp
-
-```
-Invoke the llama.cpp server or the CLI.
-
-### CLI:
-```bash
-llama --hf-repo v000000/SyntheticMoist-11B-v2-Q6_K-GGUF --hf-file syntheticmoist-11b-v2-q6_k.gguf -p "The meaning to life and the universe is"
-```
-
-### Server:
-```bash
-llama-server --hf-repo v000000/SyntheticMoist-11B-v2-Q6_K-GGUF --hf-file syntheticmoist-11b-v2-q6_k.gguf -c 2048
-```
-
-Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
-
-Step 1: Clone llama.cpp from GitHub.
-```
-git clone https://github.com/ggerganov/llama.cpp
-```
-
-Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
-```
-cd llama.cpp && LLAMA_CURL=1 make
-```
-
-Step 3: Run inference through the main binary.
-```
-./main --hf-repo v000000/SyntheticMoist-11B-v2-Q6_K-GGUF --hf-file syntheticmoist-11b-v2-q6_k.gguf -p "The meaning to life and the universe is"
-```
-or 
-```
-./server --hf-repo v000000/SyntheticMoist-11B-v2-Q6_K-GGUF --hf-file syntheticmoist-11b-v2-q6_k.gguf -c 2048
-```
+### SyntheticMoist-v2
+RP Model, Solar.
+Higher density+LimaRP led to better performance, Alpaca/Vicuna.
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64f74b6e6389380c77562762/nipwgMMVVEWvJqN3TSWZP.png)
+
+# 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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [Sao10K/Fimbulvetr-11B-v2](https://huggingface.co/Sao10K/Fimbulvetr-11B-v2) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [TheDrummer/Moistral-11B-v3](https://huggingface.co/TheDrummer/Moistral-11B-v3)
+* [Himitsui/MedMitsu-Instruct-11B](https://huggingface.co/Himitsui/MedMitsu-Instruct-11B)
+* [Himitsui/Kaiju-11B](https://huggingface.co/Himitsui/Kaiju-11B)
+* [migtissera/Synthia-v3.0-11B](https://huggingface.co/migtissera/Synthia-v3.0-11B) + [jeiku/Re-Host_Limarp_Mistral](https://huggingface.co/jeiku/Re-Host_Limarp_Mistral)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: Himitsui/MedMitsu-Instruct-11B
+    parameters:
+      weight: 0.13
+      density: 0.60
+  - model: Himitsui/Kaiju-11B
+    parameters:
+      weight: 0.22
+      density: 0.73
+  - model: migtissera/Synthia-v3.0-11B+jeiku/Re-Host_Limarp_Mistral
+    parameters:
+      weight: 0.28
+      density: 0.80
+  - model: TheDrummer/Moistral-11B-v3
+    parameters:
+      weight: 0.37
+      density: 0.85
+merge_method: dare_ties
+base_model: Sao10K/Fimbulvetr-11B-v2
+parameters:
+  int8_mask: true
+dtype: bfloat16
+
+```