Instructions to use KHALM-Labs/aegisnode-validate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use KHALM-Labs/aegisnode-validate with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="KHALM-Labs/aegisnode-validate", filename="aegisnode-validate-6.7b.Q4_K_M.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use KHALM-Labs/aegisnode-validate 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 KHALM-Labs/aegisnode-validate:Q4_K_M # Run inference directly in the terminal: llama cli -hf KHALM-Labs/aegisnode-validate:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf KHALM-Labs/aegisnode-validate:Q4_K_M # Run inference directly in the terminal: llama cli -hf KHALM-Labs/aegisnode-validate: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 KHALM-Labs/aegisnode-validate:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf KHALM-Labs/aegisnode-validate: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 KHALM-Labs/aegisnode-validate:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf KHALM-Labs/aegisnode-validate:Q4_K_M
Use Docker
docker model run hf.co/KHALM-Labs/aegisnode-validate:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use KHALM-Labs/aegisnode-validate with Ollama:
ollama run hf.co/KHALM-Labs/aegisnode-validate:Q4_K_M
- Unsloth Studio
How to use KHALM-Labs/aegisnode-validate with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for KHALM-Labs/aegisnode-validate to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for KHALM-Labs/aegisnode-validate to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for KHALM-Labs/aegisnode-validate to start chatting
- Atomic Chat new
- Docker Model Runner
How to use KHALM-Labs/aegisnode-validate with Docker Model Runner:
docker model run hf.co/KHALM-Labs/aegisnode-validate:Q4_K_M
- Lemonade
How to use KHALM-Labs/aegisnode-validate with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull KHALM-Labs/aegisnode-validate:Q4_K_M
Run and chat with the model
lemonade run user.aegisnode-validate-Q4_K_M
List all available models
lemonade list
Update README.md
Browse files
README.md
CHANGED
|
@@ -39,24 +39,7 @@ Unlike standard conversational LLMs, AegisNode Validate has been trained on a he
|
|
| 39 |
|
| 40 |
Because this model relies on the native DeepSeek-Coder template, you must use the correct instruction formatting. If you download the `.gguf` file, use the following `Modelfile` to run it in Ollama:
|
| 41 |
|
| 42 |
-
|
| 43 |
-
FROM ./aegisnode-validate-6.7b.Q4_K_M.gguf
|
| 44 |
-
|
| 45 |
-
TEMPLATE """{{ if .System }}{{ .System }}{{ end }}
|
| 46 |
-
### Instruction:
|
| 47 |
-
{{ .Prompt }}
|
| 48 |
-
### Response:
|
| 49 |
-
"""
|
| 50 |
-
|
| 51 |
-
SYSTEM """You are a Principal AWS Cloud Architect. Write flawless, enterprise-grade Terraform code. Output ONLY valid HCL, no explanations or commentary."""
|
| 52 |
-
|
| 53 |
-
PARAMETER stop "### Instruction:"
|
| 54 |
-
PARAMETER stop "### Response:"
|
| 55 |
-
PARAMETER temperature 0.0
|
| 56 |
-
PARAMETER top_p 0.1
|
| 57 |
-
```
|
| 58 |
-
|
| 59 |
-
Then create and run the model:
|
| 60 |
```bash
|
| 61 |
ollama create aegisnode-validate -f Modelfile
|
| 62 |
ollama run aegisnode-validate "Create a VPC in us-east-1 with CIDR 10.0.0.0/16 and two public subnets."
|
|
|
|
| 39 |
|
| 40 |
Because this model relies on the native DeepSeek-Coder template, you must use the correct instruction formatting. If you download the `.gguf` file, use the following `Modelfile` to run it in Ollama:
|
| 41 |
|
| 42 |
+
Create and run the model:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 43 |
```bash
|
| 44 |
ollama create aegisnode-validate -f Modelfile
|
| 45 |
ollama run aegisnode-validate "Create a VPC in us-east-1 with CIDR 10.0.0.0/16 and two public subnets."
|