GGUF
Merge
mergekit
lazymergekit
VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct
THUDM/LongWriter-llama3.1-8b
long-context
conversational
Instructions to use AlekseiPravdin/Llama-3.1-SauerkrautLM-8b-Instruct-LongWriter-llama3.1-8b-slerp-merge-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use AlekseiPravdin/Llama-3.1-SauerkrautLM-8b-Instruct-LongWriter-llama3.1-8b-slerp-merge-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 AlekseiPravdin/Llama-3.1-SauerkrautLM-8b-Instruct-LongWriter-llama3.1-8b-slerp-merge-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf AlekseiPravdin/Llama-3.1-SauerkrautLM-8b-Instruct-LongWriter-llama3.1-8b-slerp-merge-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 AlekseiPravdin/Llama-3.1-SauerkrautLM-8b-Instruct-LongWriter-llama3.1-8b-slerp-merge-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf AlekseiPravdin/Llama-3.1-SauerkrautLM-8b-Instruct-LongWriter-llama3.1-8b-slerp-merge-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 AlekseiPravdin/Llama-3.1-SauerkrautLM-8b-Instruct-LongWriter-llama3.1-8b-slerp-merge-gguf:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf AlekseiPravdin/Llama-3.1-SauerkrautLM-8b-Instruct-LongWriter-llama3.1-8b-slerp-merge-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 AlekseiPravdin/Llama-3.1-SauerkrautLM-8b-Instruct-LongWriter-llama3.1-8b-slerp-merge-gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf AlekseiPravdin/Llama-3.1-SauerkrautLM-8b-Instruct-LongWriter-llama3.1-8b-slerp-merge-gguf:Q4_K_M
Use Docker
docker model run hf.co/AlekseiPravdin/Llama-3.1-SauerkrautLM-8b-Instruct-LongWriter-llama3.1-8b-slerp-merge-gguf:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use AlekseiPravdin/Llama-3.1-SauerkrautLM-8b-Instruct-LongWriter-llama3.1-8b-slerp-merge-gguf with Ollama:
ollama run hf.co/AlekseiPravdin/Llama-3.1-SauerkrautLM-8b-Instruct-LongWriter-llama3.1-8b-slerp-merge-gguf:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use AlekseiPravdin/Llama-3.1-SauerkrautLM-8b-Instruct-LongWriter-llama3.1-8b-slerp-merge-gguf with Docker Model Runner:
docker model run hf.co/AlekseiPravdin/Llama-3.1-SauerkrautLM-8b-Instruct-LongWriter-llama3.1-8b-slerp-merge-gguf:Q4_K_M
- Lemonade
How to use AlekseiPravdin/Llama-3.1-SauerkrautLM-8b-Instruct-LongWriter-llama3.1-8b-slerp-merge-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull AlekseiPravdin/Llama-3.1-SauerkrautLM-8b-Instruct-LongWriter-llama3.1-8b-slerp-merge-gguf:Q4_K_M
Run and chat with the model
lemonade run user.Llama-3.1-SauerkrautLM-8b-Instruct-LongWriter-llama3.1-8b-slerp-merge-gguf-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Upload mergekit_config.yml with huggingface_hub
Browse files- mergekit_config.yml +16 -0
mergekit_config.yml
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
slices:
|
| 2 |
+
- sources:
|
| 3 |
+
- model: VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct
|
| 4 |
+
layer_range: [0, 31]
|
| 5 |
+
- model: THUDM/LongWriter-llama3.1-8b
|
| 6 |
+
layer_range: [0, 31]
|
| 7 |
+
merge_method: slerp
|
| 8 |
+
base_model: VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct
|
| 9 |
+
parameters:
|
| 10 |
+
t:
|
| 11 |
+
- filter: self_attn
|
| 12 |
+
value: [0, 0.5, 0.3, 0.7, 1]
|
| 13 |
+
- filter: mlp
|
| 14 |
+
value: [1, 0.5, 0.7, 0.3, 0]
|
| 15 |
+
- value: 0.5
|
| 16 |
+
dtype: float16
|