Insanelycool/RomDog-MGS-LLM-V2.5-Qwen-32b-Experiment2-GGUF

merge

This is a merge of pre-trained language models created using mergekit. Merge Details Merge Method

This model was merged using the SLERP merge method. Models Merged

The following models were included in the merge:

rombodawg/Rombos-LLM-V2.5-Qwen-32b
fblgit/TheBeagle-v2beta-32B-MGS

Configuration

The following YAML configuration was used to produce this model:

slices:

• sources:
  • model: fblgit/TheBeagle-v2beta-32B-MGS layer_range:
    • 0
    • 64
  • model: rombodawg/Rombos-LLM-V2.5-Qwen-32b layer_range:
    • 0
    • 64 merge_method: slerp base_model: rombodawg/Rombos-LLM-V2.5-Qwen-32b 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: bfloat16

---

base_model: mergekit-community/mergekit-slerp-uavuhik library_name: transformers tags: - mergekit - merge - llama-cpp - gguf-my-repo

Insanelycool/mergekit-slerp-uavuhik-Q8_0-GGUF

This model was converted to GGUF format from mergekit-community/mergekit-slerp-uavuhik using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo Insanelycool/mergekit-slerp-uavuhik-Q8_0-GGUF --hf-file mergekit-slerp-uavuhik-q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Insanelycool/mergekit-slerp-uavuhik-Q8_0-GGUF --hf-file mergekit-slerp-uavuhik-q8_0.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps 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.

./llama-cli --hf-repo Insanelycool/mergekit-slerp-uavuhik-Q8_0-GGUF --hf-file mergekit-slerp-uavuhik-q8_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Insanelycool/mergekit-slerp-uavuhik-Q8_0-GGUF --hf-file mergekit-slerp-uavuhik-q8_0.gguf -c 2048