Instructions to use TheBloke/NeuralQuant-9B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TheBloke/NeuralQuant-9B-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("TheBloke/NeuralQuant-9B-GGUF", dtype="auto")

llama-cpp-python

How to use TheBloke/NeuralQuant-9B-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="TheBloke/NeuralQuant-9B-GGUF",
	filename="neuralquant-9b.Q2_K.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use TheBloke/NeuralQuant-9B-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 TheBloke/NeuralQuant-9B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf TheBloke/NeuralQuant-9B-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf TheBloke/NeuralQuant-9B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf TheBloke/NeuralQuant-9B-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 TheBloke/NeuralQuant-9B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf TheBloke/NeuralQuant-9B-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 TheBloke/NeuralQuant-9B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf TheBloke/NeuralQuant-9B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/TheBloke/NeuralQuant-9B-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use TheBloke/NeuralQuant-9B-GGUF with Ollama:
```
ollama run hf.co/TheBloke/NeuralQuant-9B-GGUF:Q4_K_M
```

Unsloth Studio

How to use TheBloke/NeuralQuant-9B-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 TheBloke/NeuralQuant-9B-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 TheBloke/NeuralQuant-9B-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for TheBloke/NeuralQuant-9B-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use TheBloke/NeuralQuant-9B-GGUF with Docker Model Runner:
```
docker model run hf.co/TheBloke/NeuralQuant-9B-GGUF:Q4_K_M
```

Lemonade

How to use TheBloke/NeuralQuant-9B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull TheBloke/NeuralQuant-9B-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.NeuralQuant-9B-GGUF-Q4_K_M

List all available models

lemonade list

doesn't load in ooba's web gui

by ramzeez88 - opened Dec 30, 2023

Discussion

ramzeez88

Dec 30, 2023

i downloaded q5 k_m and when loading i get:
Traceback (most recent call last):

File "C:\oobabooga-windows\text-generation-webui-snapshot-2023-12-24\modules\ui_model_menu.py", line 214, in load_model_wrapper

shared.model, shared.tokenizer = load_model(selected_model, loader)
File "C:\oobabooga-windows\text-generation-webui-snapshot-2023-12-24\modules\models.py", line 90, in load_model

output = load_func_maploader
File "C:\oobabooga-windows\text-generation-webui-snapshot-2023-12-24\modules\models.py", line 260, in llamacpp_loader

model, tokenizer = LlamaCppModel.from_pretrained(model_file)
File "C:\oobabooga-windows\text-generation-webui-snapshot-2023-12-24\modules\llamacpp_model.py", line 101, in from_pretrained

result.model = Llama(**params)
File "C:\oobabooga-windows\text-generation-webui-snapshot-2023-12-24\installer_files\env\lib\site-packages\llama_cpp_cuda\llama.py", line 962, in init

self._n_vocab = self.n_vocab()
File "C:\oobabooga-windows\text-generation-webui-snapshot-2023-12-24\installer_files\env\lib\site-packages\llama_cpp_cuda\llama.py", line 2274, in n_vocab

return self._model.n_vocab()
File "C:\oobabooga-windows\text-generation-webui-snapshot-2023-12-24\installer_files\env\lib\site-packages\llama_cpp_cuda\llama.py", line 251, in n_vocab

assert self.model is not None
AssertionError

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