Instructions to use lainlives/WizardCoder-Python-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use lainlives/WizardCoder-Python-7B with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("lainlives/WizardCoder-Python-7B", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use lainlives/WizardCoder-Python-7B 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 lainlives/WizardCoder-Python-7B:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf lainlives/WizardCoder-Python-7B:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf lainlives/WizardCoder-Python-7B:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf lainlives/WizardCoder-Python-7B: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 lainlives/WizardCoder-Python-7B:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf lainlives/WizardCoder-Python-7B: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 lainlives/WizardCoder-Python-7B:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf lainlives/WizardCoder-Python-7B:Q4_K_M

Use Docker

docker model run hf.co/lainlives/WizardCoder-Python-7B:Q4_K_M

LM Studio
Jan
Ollama
How to use lainlives/WizardCoder-Python-7B with Ollama:
```
ollama run hf.co/lainlives/WizardCoder-Python-7B:Q4_K_M
```

Unsloth Studio

How to use lainlives/WizardCoder-Python-7B 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 lainlives/WizardCoder-Python-7B 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 lainlives/WizardCoder-Python-7B to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for lainlives/WizardCoder-Python-7B to start chatting

Atomic Chat new
Docker Model Runner
How to use lainlives/WizardCoder-Python-7B with Docker Model Runner:
```
docker model run hf.co/lainlives/WizardCoder-Python-7B:Q4_K_M
```

Lemonade

How to use lainlives/WizardCoder-Python-7B with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull lainlives/WizardCoder-Python-7B:Q4_K_M

Run and chat with the model

lemonade run user.WizardCoder-Python-7B-Q4_K_M

List all available models

lemonade list

WizardCoder-Python-7B / README.md

lainlives

Upload README.md with huggingface_hub

dd5aa4e verified 5 months ago

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	---
	license: llama2
	metrics:
	- code_eval
	library_name: transformers
	tags:
	- code
	- llama-cpp
	- gguf-my-repo
	base_model: vanillaOVO/WizardCoder-Python-7B-V1.0
	model-index:
	- name: WizardCoder-Python-34B-V1.0
	results:
	- task:
	type: text-generation
	dataset:
	name: HumanEval
	type: openai_humaneval
	metrics:
	- type: pass@1
	value: 0.555
	name: pass@1
	verified: false
	---

	# lainlives/WizardCoder-Python-7B
	This model contains GGUF format model files for [`vanillaOVO/WizardCoder-Python-7B-V1.0`](https://huggingface.co/vanillaOVO/WizardCoder-Python-7B-V1.0).

	### Available Quants
	The following files were generated and uploaded to this repo:
	`Q4_0`, `Q4_K_S`, `Q4_K_M`, `Q5_0`, `Q5_K_S`, `Q5_K_M`, `Q6_K`, `Q8_0`, `f16`, `bf16`

	### Use with llama.cpp

	CLI:
	```bash
	llama-cli --hf-repo lainlives/WizardCoder-Python-7B --hf-file WizardCoder-Python-7B-V1.0-Q4_K_M.gguf -p "The meaning to life and the universe is"
	```

	Server:
	```bash
	llama-server --hf-repo lainlives/WizardCoder-Python-7B --hf-file WizardCoder-Python-7B-V1.0-Q4_K_M.gguf -c 2048
	```

	### Or ollama

	CLI:
	```bash
	ollama run https://hf.co/lainlives/WizardCoder-Python-7B:Q4_K_M
	```