How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf QuantFactory/L3-bluuwhale-SAO-MIX-8B-V1_fp32-merge-calc-GGUF:# Run inference directly in the terminal:
llama cli -hf QuantFactory/L3-bluuwhale-SAO-MIX-8B-V1_fp32-merge-calc-GGUF:Use pre-built binary
# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf QuantFactory/L3-bluuwhale-SAO-MIX-8B-V1_fp32-merge-calc-GGUF:# Run inference directly in the terminal:
./llama-cli -hf QuantFactory/L3-bluuwhale-SAO-MIX-8B-V1_fp32-merge-calc-GGUF:Build from source code
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf QuantFactory/L3-bluuwhale-SAO-MIX-8B-V1_fp32-merge-calc-GGUF:# Run inference directly in the terminal:
./build/bin/llama-cli -hf QuantFactory/L3-bluuwhale-SAO-MIX-8B-V1_fp32-merge-calc-GGUF:Use Docker
docker model run hf.co/QuantFactory/L3-bluuwhale-SAO-MIX-8B-V1_fp32-merge-calc-GGUF:Quick Links
QuantFactory/L3-bluuwhale-SAO-MIX-8B-V1_fp32-merge-calc-GGUF
This is quantized version of Casual-Autopsy/L3-bluuwhale-SAO-MIX-8B-V1_fp32-merge-calc created using llama.cpp
Original Model Card
L3-bluuwhale-SAO-MIX-8B-V1_fp32-merge-calc
This is a remerge of bluuwhale's merger using the exact yaml config with the only difference being that merge calculations are done in fp32 instead of bfp16
I've done this since I'm planning to use this for another merger, but you can use as is if you wish.
Merge Details
Merge Method
This model was merged using the della merge method using Sao10K/L3-8B-Niitama-v1 as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Sao10K/L3-8B-Lunaris-v1
parameters:
weight: 1.0
- model: Sao10K/L3-8B-Stheno-v3.2
parameters:
weight: 1.0
- model: Sao10K/L3-8B-Niitama-v1
parameters:
weight: 1.0
- model: Sao10K/L3-8B-Tamamo-v1
parameters:
weight: 1.0
base_model: Sao10K/L3-8B-Niitama-v1
merge_method: della
dtype: float32
out_dtype: bfloat16
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Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf QuantFactory/L3-bluuwhale-SAO-MIX-8B-V1_fp32-merge-calc-GGUF:# Run inference directly in the terminal: llama cli -hf QuantFactory/L3-bluuwhale-SAO-MIX-8B-V1_fp32-merge-calc-GGUF: