Instructions to use sauravchandra/codegen-insights-core with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use sauravchandra/codegen-insights-core with Transformers:

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("sauravchandra/codegen-insights-core", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use sauravchandra/codegen-insights-core 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 sauravchandra/codegen-insights-core:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf sauravchandra/codegen-insights-core:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf sauravchandra/codegen-insights-core:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf sauravchandra/codegen-insights-core: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 sauravchandra/codegen-insights-core:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf sauravchandra/codegen-insights-core: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 sauravchandra/codegen-insights-core:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf sauravchandra/codegen-insights-core:Q4_K_M

Use Docker

docker model run hf.co/sauravchandra/codegen-insights-core:Q4_K_M

LM Studio
Jan
Ollama
How to use sauravchandra/codegen-insights-core with Ollama:
```
ollama run hf.co/sauravchandra/codegen-insights-core:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use sauravchandra/codegen-insights-core with Docker Model Runner:
```
docker model run hf.co/sauravchandra/codegen-insights-core:Q4_K_M
```

Lemonade

How to use sauravchandra/codegen-insights-core with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull sauravchandra/codegen-insights-core:Q4_K_M

Run and chat with the model

lemonade run user.codegen-insights-core-Q4_K_M

List all available models

lemonade list

Atomic Chat

codegen-insights-core

File size: 31 Bytes

503470a

{
    "model_type": "mistral"
}