Update README.md

README.md

@@ -1,54 +1,78 @@
 ---
-base_model: v000000/L3-11.5B-DuS-MoonRoot
+base_model: v000000/L3-11.5B-DuS-FrankenRoot
 library_name: transformers
 tags:
 - mergekit
 - merge
-- llama
 - llama-cpp
-- gguf-my-repo
+- llama
 ---
 
-# v000000/L3-11.5B-DuS-MoonRoot-Q8_0-GGUF
-This model was converted to GGUF format from [`v000000/L3-11.5B-DuS-MoonRoot`](https://huggingface.co/v000000/L3-11.5B-DuS-MoonRoot) 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/L3-11.5B-DuS-MoonRoot) for more details on the model.
+# v000000/L3-11.5B-DuS-MoonRoot-Q8_0
+This model was converted to GGUF format from [`v000000/L3-11.5B-DuS-MoonRoot`](https://huggingface.co/v000000/L3-11.5B-DuS-MoonRoot) using llama.cpp
+Refer to the [original model card](https://huggingface.co/v000000/L3-11.5B-DuS-MoonRoot) for more details on the model.'
 
-## Use with llama.cpp
-Install llama.cpp through brew (works on Mac and Linux)
+---
+base_model:
+- Cas-Warehouse/Llama-3-MopeyMule-Blackroot-8B
+- v000000/L3-8B-Poppy-Moonfall-C
+library_name: transformers
+tags:
+- mergekit
+- merge
+- llama
+---
+### Llama-3-11.5-Depth-Upscaled-MoonRoot
+experiement, no continued pretraining
 
-```bash
-brew install llama.cpp
+# Quants
+* [Q8_0](https://huggingface.co/v000000/L3-11.5B-DuS-MoonRoot-Q8_0-GGUF)
+* [Q6_K](https://huggingface.co/v000000/L3-11.5B-DuS-MoonRoot-Q6_K-GGUF)
 
-```
-Invoke the llama.cpp server or the CLI.
+# merge
 
-### CLI:
-```bash
-llama-cli --hf-repo v000000/L3-11.5B-DuS-MoonRoot-Q8_0-GGUF --hf-file l3-11.5b-dus-moonroot-q8_0.gguf -p "The meaning to life and the universe is"
+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:
+* [Cas-Warehouse/Llama-3-MopeyMule-Blackroot-8B](https://huggingface.co/Cas-Warehouse/Llama-3-MopeyMule-Blackroot-8B)
+* [v000000/L3-8B-Poppy-Moonfall-C](https://huggingface.co/v000000/L3-8B-Poppy-Moonfall-C)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+  - sources:
+    - model: v000000/L3-8B-Poppy-Moonfall-C
+      layer_range: [0, 24]
+  - sources:
+    - model: Cas-Warehouse/Llama-3-MopeyMule-Blackroot-8B
+      layer_range: [8, 32]
+merge_method: passthrough
+dtype: bfloat16
 ```
 
-### Server:
+---
+base_model:
+- Cas-Warehouse/Llama-3-MopeyMule-Blackroot-8B
+- v000000/L3-8B-Poppy-Moonfall-C
+
+# Prompt Template:
 ```bash
-llama-server --hf-repo v000000/L3-11.5B-DuS-MoonRoot-Q8_0-GGUF --hf-file l3-11.5b-dus-moonroot-q8_0.gguf -c 2048
-```
+<|begin_of_text|><|start_header_id|>system<|end_header_id|>
 
-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.
+{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
 
-Step 1: Clone llama.cpp from GitHub.
-```
-git clone https://github.com/ggerganov/llama.cpp
-```
+{input}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
 
-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
-```
+{output}<|eot_id|>
 
-Step 3: Run inference through the main binary.
-```
-./llama-cli --hf-repo v000000/L3-11.5B-DuS-MoonRoot-Q8_0-GGUF --hf-file l3-11.5b-dus-moonroot-q8_0.gguf -p "The meaning to life and the universe is"
-```
-or 
-```
-./llama-server --hf-repo v000000/L3-11.5B-DuS-MoonRoot-Q8_0-GGUF --hf-file l3-11.5b-dus-moonroot-q8_0.gguf -c 2048
-```
+```