Triangle104/Astral-Fusion-8b-v0.0-Q5_K_S-GGUF
This model was converted to GGUF format from ProdeusUnity/Astral-Fusion-8b-v0.0
using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
Model details:
We will see... Come with me, take the journey~
Listen to the song on Youtube: https://www.youtube.com/watch?v=3FEFtFMBREA
Another attempt at a merge, not entirely related to Stellar Odyssey. I like it, so try it out?
Merged Models:
meta-llama/Llama-3-8b-Instruct
Sao10K_L3-8B-Stheno-v3.2
Gryphe_Pantheon-RP-1.0-8b-Llama-3
Celeste-Stable-v1.2
This is a merge of pre-trained language models created using mergekit. Edit: Celeste v1.2 Stable?
That itself is a merge, more to stablize Celeste since its training was at 256. It was merged with NeuralDareDevil via TIES Merge Details Merge Method
This model was merged using the della_linear merge method using C:\Users\Downloads\Mergekit-Fixed\mergekit\meta-llama_Llama-3-8B-Instruct as a base. Models Merged
The following models were included in the merge:
C:\Users\Downloads\Mergekit-Fixed\mergekit\Gryphe_Pantheon-RP-1.0-8b-Llama-3
C:\Users\Downloads\Mergekit-Fixed\mergekit\Sao10K_L3-8B-Stheno-v3.2
C:\Users\Downloads\Mergekit-Fixed\mergekit\Celeste-Stable-v1.2-Test2
Configuration
The following YAML configuration was used to produce this model:
models:
- model: C:\Users\Downloads\Mergekit-Fixed\mergekit\Sao10K_L3-8B-Stheno-v3.2 parameters: weight: 0.3 density: 0.25
- model: C:\Users\Downloads\Mergekit-Fixed\mergekit\Celeste-Stable-v1.2-Test2 parameters: weight: 0.1 density: 0.4
- model: C:\Users\Downloads\Mergekit-Fixed\mergekit\Gryphe_Pantheon-RP-1.0-8b-Llama-3 parameters: weight: 0.4 density: 0.5 merge_method: della_linear base_model: C:\Users\Downloads\Mergekit-Fixed\mergekit\meta-llama_Llama-3-8B-Instruct parameters: epsilon: 0.05 lambda: 1 merge_method: della_linear dtype: bfloat16
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 Triangle104/Astral-Fusion-8b-v0.0-Q5_K_S-GGUF --hf-file astral-fusion-8b-v0.0-q5_k_s.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo Triangle104/Astral-Fusion-8b-v0.0-Q5_K_S-GGUF --hf-file astral-fusion-8b-v0.0-q5_k_s.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 Triangle104/Astral-Fusion-8b-v0.0-Q5_K_S-GGUF --hf-file astral-fusion-8b-v0.0-q5_k_s.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo Triangle104/Astral-Fusion-8b-v0.0-Q5_K_S-GGUF --hf-file astral-fusion-8b-v0.0-q5_k_s.gguf -c 2048
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Base model
ProdeusUnity/Astral-Fusion-8b-v0.0