How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf QuantFactory/Ellaria-9B-GGUF:# Run inference directly in the terminal:
llama-cli -hf QuantFactory/Ellaria-9B-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/Ellaria-9B-GGUF:# Run inference directly in the terminal:
./llama-cli -hf QuantFactory/Ellaria-9B-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/Ellaria-9B-GGUF:# Run inference directly in the terminal:
./build/bin/llama-cli -hf QuantFactory/Ellaria-9B-GGUF:Use Docker
docker model run hf.co/QuantFactory/Ellaria-9B-GGUF:Quick Links
QuantFactory/Ellaria-9B-GGUF
This is quantized version of tannedbum/Ellaria-9B created using llama.cpp
Original Model Card
Same reliable approach as before. A good RP model and a suitable dose of SimPO are a match made in heaven.
SillyTavern
Text Completion presets
temp 0.9
top_k 30
top_p 0.75
min_p 0.2
rep_pen 1.1
smooth_factor 0.25
smooth_curve 1
Advanced Formatting
Context & Instruct Presets for Gemma Here IMPORTANT !
Instruct Mode: Enabled
This is a merge of pre-trained language models created using mergekit.
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: TheDrummer/Gemmasutra-9B-v1
layer_range: [0, 42]
- model: princeton-nlp/gemma-2-9b-it-SimPO
layer_range: [0, 42]
merge_method: slerp
base_model: TheDrummer/Gemmasutra-9B-v1
parameters:
t:
- filter: self_attn
value: [0.2, 0.4, 0.6, 0.2, 0.4]
- filter: mlp
value: [0.8, 0.6, 0.4, 0.8, 0.6]
- value: 0.4
dtype: bfloat16
Want to support my work ? My Ko-fi page: https://ko-fi.com/tannedbum
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Install from brew
# Start a local OpenAI-compatible server with a web UI: llama-server -hf QuantFactory/Ellaria-9B-GGUF:# Run inference directly in the terminal: llama-cli -hf QuantFactory/Ellaria-9B-GGUF: