Instructions to use aisingapore/Llama-SEA-LION-v2-8B-IT-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 aisingapore/Llama-SEA-LION-v2-8B-IT-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 aisingapore/Llama-SEA-LION-v2-8B-IT-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf aisingapore/Llama-SEA-LION-v2-8B-IT-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 aisingapore/Llama-SEA-LION-v2-8B-IT-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf aisingapore/Llama-SEA-LION-v2-8B-IT-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 aisingapore/Llama-SEA-LION-v2-8B-IT-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf aisingapore/Llama-SEA-LION-v2-8B-IT-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 aisingapore/Llama-SEA-LION-v2-8B-IT-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf aisingapore/Llama-SEA-LION-v2-8B-IT-GGUF:Q4_K_M
Use Docker
docker model run hf.co/aisingapore/Llama-SEA-LION-v2-8B-IT-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use aisingapore/Llama-SEA-LION-v2-8B-IT-GGUF with Ollama:
ollama run hf.co/aisingapore/Llama-SEA-LION-v2-8B-IT-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use aisingapore/Llama-SEA-LION-v2-8B-IT-GGUF with Docker Model Runner:
docker model run hf.co/aisingapore/Llama-SEA-LION-v2-8B-IT-GGUF:Q4_K_M
- Lemonade
How to use aisingapore/Llama-SEA-LION-v2-8B-IT-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull aisingapore/Llama-SEA-LION-v2-8B-IT-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Llama-SEA-LION-v2-8B-IT-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Update README.md
Browse files
README.md
CHANGED
|
@@ -30,14 +30,14 @@ SEA-LION stands for _Southeast Asian Languages In One Network_.
|
|
| 30 |
This repo contains `GGUF` format model files for [aisingapore/Llama-SEA-LION-v2-8B-IT](https://huggingface.co/aisingapore/Llama-SEA-LION-v2-8B-IT).
|
| 31 |
|
| 32 |
#### Model Weights Included in this repository:
|
| 33 |
-
- [
|
| 34 |
-
- [
|
| 35 |
-
- [
|
| 36 |
-
- [
|
| 37 |
-
- [
|
| 38 |
-
- [
|
| 39 |
-
- [
|
| 40 |
-
- [
|
| 41 |
|
| 42 |
### Caveats
|
| 43 |
It is important for users to be aware that our model exhibits certain limitations that warrant consideration. Like many LLMs, the model can hallucinate and occasionally generates irrelevant content, introducing fictional elements that are not grounded in the provided context. Users should also exercise caution in interpreting and validating the model's responses due to the potential inconsistencies in its reasoning.
|
|
|
|
| 30 |
This repo contains `GGUF` format model files for [aisingapore/Llama-SEA-LION-v2-8B-IT](https://huggingface.co/aisingapore/Llama-SEA-LION-v2-8B-IT).
|
| 31 |
|
| 32 |
#### Model Weights Included in this repository:
|
| 33 |
+
- [Llama-SEA-LION-v2-8B-IT-Q2_K](https://huggingface.co/aisingapore/Llama-SEA-LION-v2-8B-IT-GGUF/blob/main/Llama-SEA-LION-v2-8B-IT-Q2_K.gguf)
|
| 34 |
+
- [Llama-SEA-LION-v2-8B-IT-Q3_K_M](https://huggingface.co/aisingapore/Llama-SEA-LION-v2-8B-IT-GGUF/blob/main/Llama-SEA-LION-v2-8B-IT-Q3_K_M.gguf)
|
| 35 |
+
- [Llama-SEA-LION-v2-8B-IT-Q4_0](https://huggingface.co/aisingapore/Llama-SEA-LION-v2-8B-IT-GGUF/blob/main/Llama-SEA-LION-v2-8B-IT-Q4_0.gguf)
|
| 36 |
+
- [Llama-SEA-LION-v2-8B-IT-Q4_K_M](https://huggingface.co/aisingapore/Llama-SEA-LION-v2-8B-IT-GGUF/blob/main/Llama-SEA-LION-v2-8B-IT-Q4_K_M.gguf)
|
| 37 |
+
- [Llama-SEA-LION-v2-8B-IT-Q5_0](https://huggingface.co/aisingapore/Llama-SEA-LION-v2-8B-IT-GGUF/blob/main/Llama-SEA-LION-v2-8B-IT-Q5_0.gguf)
|
| 38 |
+
- [Llama-SEA-LION-v2-8B-IT-Q5_K_M](https://huggingface.co/aisingapore/Llama-SEA-LION-v2-8B-IT-GGUF/blob/main/Llama-SEA-LION-v2-8B-IT-Q5_K_M.gguf)
|
| 39 |
+
- [Llama-SEA-LION-v2-8B-IT-Q6_K](https://huggingface.co/aisingapore/Llama-SEA-LION-v2-8B-IT-GGUF/blob/main/Llama-SEA-LION-v2-8B-IT-Q6_K.gguf)
|
| 40 |
+
- [Llama-SEA-LION-v2-8B-IT-Q8_0](https://huggingface.co/aisingapore/Llama-SEA-LION-v2-8B-IT-GGUF/blob/main/Llama-SEA-LION-v2-8B-IT-Q8_0.gguf)
|
| 41 |
|
| 42 |
### Caveats
|
| 43 |
It is important for users to be aware that our model exhibits certain limitations that warrant consideration. Like many LLMs, the model can hallucinate and occasionally generates irrelevant content, introducing fictional elements that are not grounded in the provided context. Users should also exercise caution in interpreting and validating the model's responses due to the potential inconsistencies in its reasoning.
|