Instructions to use QuantFactory/dolphin-2.9.2-qwen2-7b-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use QuantFactory/dolphin-2.9.2-qwen2-7b-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="QuantFactory/dolphin-2.9.2-qwen2-7b-GGUF",
	filename="dolphin-2.9.2-qwen2-7b.Q2_K.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use QuantFactory/dolphin-2.9.2-qwen2-7b-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf QuantFactory/dolphin-2.9.2-qwen2-7b-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf QuantFactory/dolphin-2.9.2-qwen2-7b-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 QuantFactory/dolphin-2.9.2-qwen2-7b-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf QuantFactory/dolphin-2.9.2-qwen2-7b-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 QuantFactory/dolphin-2.9.2-qwen2-7b-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf QuantFactory/dolphin-2.9.2-qwen2-7b-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 QuantFactory/dolphin-2.9.2-qwen2-7b-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf QuantFactory/dolphin-2.9.2-qwen2-7b-GGUF:Q4_K_M

Use Docker

docker model run hf.co/QuantFactory/dolphin-2.9.2-qwen2-7b-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use QuantFactory/dolphin-2.9.2-qwen2-7b-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "QuantFactory/dolphin-2.9.2-qwen2-7b-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": "QuantFactory/dolphin-2.9.2-qwen2-7b-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/QuantFactory/dolphin-2.9.2-qwen2-7b-GGUF:Q4_K_M

Ollama
How to use QuantFactory/dolphin-2.9.2-qwen2-7b-GGUF with Ollama:
```
ollama run hf.co/QuantFactory/dolphin-2.9.2-qwen2-7b-GGUF:Q4_K_M
```

Unsloth Studio

How to use QuantFactory/dolphin-2.9.2-qwen2-7b-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 QuantFactory/dolphin-2.9.2-qwen2-7b-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 QuantFactory/dolphin-2.9.2-qwen2-7b-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for QuantFactory/dolphin-2.9.2-qwen2-7b-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use QuantFactory/dolphin-2.9.2-qwen2-7b-GGUF with Docker Model Runner:
```
docker model run hf.co/QuantFactory/dolphin-2.9.2-qwen2-7b-GGUF:Q4_K_M
```

Lemonade

How to use QuantFactory/dolphin-2.9.2-qwen2-7b-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull QuantFactory/dolphin-2.9.2-qwen2-7b-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.dolphin-2.9.2-qwen2-7b-GGUF-Q4_K_M

List all available models

lemonade list

Dolphin 2.9.2 Qwen2 7B GGUF 🐬

This is quantized version of cognitivecomputations/dolphin-2.9.2-qwen2-7b created suing llama.cpp

Model Description

Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations

Our appreciation for the sponsors of Dolphin 2.9.2:

Crusoe Cloud - provided excellent on-demand 8xH100 node

This model is based on Qwen2-7b, and is governed by tongyi-qianwen license

The base model has 128k context, and the full-weight fine-tuning was with 16k sequence length.

example:

<|im_start|>system
You are Dolphin, a helpful AI assistant.<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant

Dolphin-2.9.2 has a variety of instruction, conversational, and coding skills. It also has initial agentic abilities and supports function calling.

Dolphin is uncensored. We have filtered the dataset to remove alignment and bias. This makes the model more compliant. You are advised to implement your own alignment layer before exposing the model as a service. It will be highly compliant with any requests, even unethical ones. Please read my blog post about uncensored models. https://erichartford.com/uncensored-models You are responsible for any content you create using this model. Enjoy responsibly.

Dolphin is licensed according to Qwen's tongyi-qianwen license. We grant permission for any use, including commercial, that falls within accordance with said license. Dolphin was trained on data generated from GPT4, among other models.

Evals

Downloads last month: 317

GGUF

Model size

8B params

Architecture

qwen2

Hardware compatibility

2-bit

3-bit

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6-bit

8-bit

Model tree for QuantFactory/dolphin-2.9.2-qwen2-7b-GGUF

Base model

Qwen/Qwen2-7B

Finetuned

dphn/dolphin-2.9.2-qwen2-7b

Quantized

(8)

this model

QuantFactory
/

dolphin-2.9.2-qwen2-7b-GGUF

Dolphin 2.9.2 Qwen2 7B GGUF 🐬

Model Description

Evals

Model tree for QuantFactory/dolphin-2.9.2-qwen2-7b-GGUF

Datasets used to train QuantFactory/dolphin-2.9.2-qwen2-7b-GGUF