Instructions to use bartowski/dolphincoder-starcoder2-15b-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use bartowski/dolphincoder-starcoder2-15b-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="bartowski/dolphincoder-starcoder2-15b-GGUF",
	filename="dolphincoder-starcoder2-15b-Q2_K.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use bartowski/dolphincoder-starcoder2-15b-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf bartowski/dolphincoder-starcoder2-15b-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf bartowski/dolphincoder-starcoder2-15b-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf bartowski/dolphincoder-starcoder2-15b-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf bartowski/dolphincoder-starcoder2-15b-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 bartowski/dolphincoder-starcoder2-15b-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf bartowski/dolphincoder-starcoder2-15b-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 bartowski/dolphincoder-starcoder2-15b-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf bartowski/dolphincoder-starcoder2-15b-GGUF:Q4_K_M

Use Docker

docker model run hf.co/bartowski/dolphincoder-starcoder2-15b-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use bartowski/dolphincoder-starcoder2-15b-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "bartowski/dolphincoder-starcoder2-15b-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": "bartowski/dolphincoder-starcoder2-15b-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/bartowski/dolphincoder-starcoder2-15b-GGUF:Q4_K_M

Ollama
How to use bartowski/dolphincoder-starcoder2-15b-GGUF with Ollama:
```
ollama run hf.co/bartowski/dolphincoder-starcoder2-15b-GGUF:Q4_K_M
```

Unsloth Studio new

How to use bartowski/dolphincoder-starcoder2-15b-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 bartowski/dolphincoder-starcoder2-15b-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 bartowski/dolphincoder-starcoder2-15b-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for bartowski/dolphincoder-starcoder2-15b-GGUF to start chatting

Docker Model Runner
How to use bartowski/dolphincoder-starcoder2-15b-GGUF with Docker Model Runner:
```
docker model run hf.co/bartowski/dolphincoder-starcoder2-15b-GGUF:Q4_K_M
```

Lemonade

How to use bartowski/dolphincoder-starcoder2-15b-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull bartowski/dolphincoder-starcoder2-15b-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.dolphincoder-starcoder2-15b-GGUF-Q4_K_M

List all available models

lemonade list

dolphincoder-starcoder2-15b-GGUF / README.md

bartowski

Llamacpp quants

d838827 verified about 2 years ago

preview code

raw

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	---
	datasets:
	- cognitivecomputations/dolphin
	- jondurbin/airoboros-2.2.1
	- cognitivecomputations/dolphin-coder
	- teknium/openhermes
	- ise-uiuc/Magicoder-OSS-Instruct-75K
	- ise-uiuc/Magicoder-Evol-Instruct-110K
	- m-a-p/Code-Feedback
	- m-a-p/CodeFeedback-Filtered-Instruction
	language:
	- en
	license: bigcode-openrail-m
	quantized_by: bartowski
	pipeline_tag: text-generation
	---

	## Llamacpp Quantizations of dolphincoder-starcoder2-15b

	Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2354">b2354</a> for quantization.

	Original model: https://huggingface.co/cognitivecomputations/dolphincoder-starcoder2-15b

	Download a file (not the whole branch) from below:

	\| Filename \| Quant type \| File Size \| Description \|
	\| -------- \| ---------- \| --------- \| ----------- \|
	\| [dolphincoder-starcoder2-15b-Q8_0.gguf](https://huggingface.co/bartowski/dolphincoder-starcoder2-15b-GGUF/blob/main/dolphincoder-starcoder2-15b-Q8_0.gguf) \| Q8_0 \| 16.96GB \| Extremely high quality, generally unneeded but max available quant. \|
	\| [dolphincoder-starcoder2-15b-Q6_K.gguf](https://huggingface.co/bartowski/dolphincoder-starcoder2-15b-GGUF/blob/main/dolphincoder-starcoder2-15b-Q6_K.gguf) \| Q6_K \| 13.10GB \| Very high quality, near perfect, recommended. \|
	\| [dolphincoder-starcoder2-15b-Q5_K_M.gguf](https://huggingface.co/bartowski/dolphincoder-starcoder2-15b-GGUF/blob/main/dolphincoder-starcoder2-15b-Q5_K_M.gguf) \| Q5_K_M \| 11.43GB \| High quality, very usable. \|
	\| [dolphincoder-starcoder2-15b-Q5_K_S.gguf](https://huggingface.co/bartowski/dolphincoder-starcoder2-15b-GGUF/blob/main/dolphincoder-starcoder2-15b-Q5_K_S.gguf) \| Q5_K_S \| 11.02GB \| High quality, very usable. \|
	\| [dolphincoder-starcoder2-15b-Q5_0.gguf](https://huggingface.co/bartowski/dolphincoder-starcoder2-15b-GGUF/blob/main/dolphincoder-starcoder2-15b-Q5_0.gguf) \| Q5_0 \| 11.02GB \| High quality, older format, generally not recommended. \|
	\| [dolphincoder-starcoder2-15b-Q4_K_M.gguf](https://huggingface.co/bartowski/dolphincoder-starcoder2-15b-GGUF/blob/main/dolphincoder-starcoder2-15b-Q4_K_M.gguf) \| Q4_K_M \| 9.86GB \| Good quality, similar to 4.25 bpw. \|
	\| [dolphincoder-starcoder2-15b-Q4_K_S.gguf](https://huggingface.co/bartowski/dolphincoder-starcoder2-15b-GGUF/blob/main/dolphincoder-starcoder2-15b-Q4_K_S.gguf) \| Q4_K_S \| 9.25GB \| Slightly lower quality with small space savings. \|
	\| [dolphincoder-starcoder2-15b-Q4_0.gguf](https://huggingface.co/bartowski/dolphincoder-starcoder2-15b-GGUF/blob/main/dolphincoder-starcoder2-15b-Q4_0.gguf) \| Q4_0 \| 9.06GB \| Decent quality, older format, generally not recommended. \|
	\| [dolphincoder-starcoder2-15b-Q3_K_L.gguf](https://huggingface.co/bartowski/dolphincoder-starcoder2-15b-GGUF/blob/main/dolphincoder-starcoder2-15b-Q3_K_L.gguf) \| Q3_K_L \| 8.96GB \| Lower quality but usable, good for low RAM availability. \|
	\| [dolphincoder-starcoder2-15b-Q3_K_M.gguf](https://huggingface.co/bartowski/dolphincoder-starcoder2-15b-GGUF/blob/main/dolphincoder-starcoder2-15b-Q3_K_M.gguf) \| Q3_K_M \| 8.10GB \| Even lower quality. \|
	\| [dolphincoder-starcoder2-15b-Q3_K_S.gguf](https://huggingface.co/bartowski/dolphincoder-starcoder2-15b-GGUF/blob/main/dolphincoder-starcoder2-15b-Q3_K_S.gguf) \| Q3_K_S \| 6.98GB \| Low quality, not recommended. \|
	\| [dolphincoder-starcoder2-15b-Q2_K.gguf](https://huggingface.co/bartowski/dolphincoder-starcoder2-15b-GGUF/blob/main/dolphincoder-starcoder2-15b-Q2_K.gguf) \| Q2_K \| 6.19GB \| Extremely low quality, not recommended.

	Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski