Instructions to use tensorblock/agentica-org_DeepCoder-14B-Preview-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use tensorblock/agentica-org_DeepCoder-14B-Preview-GGUF with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="tensorblock/agentica-org_DeepCoder-14B-Preview-GGUF")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("tensorblock/agentica-org_DeepCoder-14B-Preview-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use tensorblock/agentica-org_DeepCoder-14B-Preview-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 tensorblock/agentica-org_DeepCoder-14B-Preview-GGUF:Q2_K
# Run inference directly in the terminal:
llama cli -hf tensorblock/agentica-org_DeepCoder-14B-Preview-GGUF:Q2_K

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf tensorblock/agentica-org_DeepCoder-14B-Preview-GGUF:Q2_K
# Run inference directly in the terminal:
llama cli -hf tensorblock/agentica-org_DeepCoder-14B-Preview-GGUF:Q2_K

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 tensorblock/agentica-org_DeepCoder-14B-Preview-GGUF:Q2_K
# Run inference directly in the terminal:
./llama-cli -hf tensorblock/agentica-org_DeepCoder-14B-Preview-GGUF:Q2_K

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 tensorblock/agentica-org_DeepCoder-14B-Preview-GGUF:Q2_K
# Run inference directly in the terminal:
./build/bin/llama-cli -hf tensorblock/agentica-org_DeepCoder-14B-Preview-GGUF:Q2_K

Use Docker

docker model run hf.co/tensorblock/agentica-org_DeepCoder-14B-Preview-GGUF:Q2_K

LM Studio
Jan

vLLM

How to use tensorblock/agentica-org_DeepCoder-14B-Preview-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "tensorblock/agentica-org_DeepCoder-14B-Preview-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "tensorblock/agentica-org_DeepCoder-14B-Preview-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/tensorblock/agentica-org_DeepCoder-14B-Preview-GGUF:Q2_K

SGLang

How to use tensorblock/agentica-org_DeepCoder-14B-Preview-GGUF with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "tensorblock/agentica-org_DeepCoder-14B-Preview-GGUF" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "tensorblock/agentica-org_DeepCoder-14B-Preview-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "tensorblock/agentica-org_DeepCoder-14B-Preview-GGUF" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "tensorblock/agentica-org_DeepCoder-14B-Preview-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Ollama
How to use tensorblock/agentica-org_DeepCoder-14B-Preview-GGUF with Ollama:
```
ollama run hf.co/tensorblock/agentica-org_DeepCoder-14B-Preview-GGUF:Q2_K
```

Unsloth Studio

How to use tensorblock/agentica-org_DeepCoder-14B-Preview-GGUF 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 tensorblock/agentica-org_DeepCoder-14B-Preview-GGUF 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 tensorblock/agentica-org_DeepCoder-14B-Preview-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for tensorblock/agentica-org_DeepCoder-14B-Preview-GGUF to start chatting

Docker Model Runner
How to use tensorblock/agentica-org_DeepCoder-14B-Preview-GGUF with Docker Model Runner:
```
docker model run hf.co/tensorblock/agentica-org_DeepCoder-14B-Preview-GGUF:Q2_K
```

Lemonade

How to use tensorblock/agentica-org_DeepCoder-14B-Preview-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull tensorblock/agentica-org_DeepCoder-14B-Preview-GGUF:Q2_K

Run and chat with the model

lemonade run user.agentica-org_DeepCoder-14B-Preview-GGUF-Q2_K

List all available models

lemonade list

Atomic Chat

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:6b773826aa6f8ca5855813745cf02f9e118caa6f0d686bccccb5d1363d4da9fa
-size 7924769088

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:f969edf66845abad4865b893d967703a0c6f3294c79b8e482bf62c536af2dea9
-size 6659596608

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:d235bc89c8359e90c5fbaa37104a1d71e854f3ab47914b6a4f6553a84f43a6b1
-size 8517726528

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:11bd15f48d2270a551e828f683425669317ae75099bebde0173f9c1963a52199
-size 8988111168

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:00c2d84870186fe2aaca06f8599e1199eb3db1a499d019decec8a8c5525f7fed
-size 8573432128

tensorblock
/

agentica-org_DeepCoder-14B-Preview-GGUF

Keep Q2_K/Q3_K_M gguf only