Instructions to use mrtoncl/fine_tune_model-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrtoncl/fine_tune_model-gguf with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mrtoncl/fine_tune_model-gguf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use mrtoncl/fine_tune_model-gguf with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf mrtoncl/fine_tune_model-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf mrtoncl/fine_tune_model-gguf:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf mrtoncl/fine_tune_model-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf mrtoncl/fine_tune_model-gguf:Q4_K_M
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 mrtoncl/fine_tune_model-gguf:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf mrtoncl/fine_tune_model-gguf:Q4_K_M
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 mrtoncl/fine_tune_model-gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf mrtoncl/fine_tune_model-gguf:Q4_K_M
Use Docker
docker model run hf.co/mrtoncl/fine_tune_model-gguf:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use mrtoncl/fine_tune_model-gguf with Ollama:
ollama run hf.co/mrtoncl/fine_tune_model-gguf:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use mrtoncl/fine_tune_model-gguf with Docker Model Runner:
docker model run hf.co/mrtoncl/fine_tune_model-gguf:Q4_K_M
- Lemonade
How to use mrtoncl/fine_tune_model-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull mrtoncl/fine_tune_model-gguf:Q4_K_M
Run and chat with the model
lemonade run user.fine_tune_model-gguf-Q4_K_M
List all available models
lemonade list
- Atomic Chat
fine_tune_model
slerp yöntemiyle mergekit kullanılarak üretildi.
Son Fıçı RPG projesi için Türkçe + roleplay yeteneklerini birleştirmeyi hedefler.
Birleştirilen modeller
ytu-ce-cosmos/Turkish-Llama-8b-Instruct-v0.1Sao10K/L3-8B-Lunaris-v1
Konfigürasyon
slices:
- sources:
- model: ytu-ce-cosmos/Turkish-Llama-8b-Instruct-v0.1
layer_range: [0, 32]
- model: Sao10K/L3-8B-Lunaris-v1
layer_range: [0, 32]
merge_method: slerp
base_model: ytu-ce-cosmos/Turkish-Llama-8b-Instruct-v0.1
parameters:
t:
- filter: self_attn
value: [0.0, 0.5, 0.3, 0.7, 1.0]
- filter: mlp
value: [1.0, 0.5, 0.7, 0.3, 0.0]
- value: 0.4
dtype: bfloat16
tokenizer_source: base
- Downloads last month
- 91
Hardware compatibility
Log In to add your hardware
4-bit
8-bit
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support