Instructions to use QuantFactory/Chronos-Gold-12B-1.0-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use QuantFactory/Chronos-Gold-12B-1.0-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("QuantFactory/Chronos-Gold-12B-1.0-GGUF", dtype="auto")

llama-cpp-python

How to use QuantFactory/Chronos-Gold-12B-1.0-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="QuantFactory/Chronos-Gold-12B-1.0-GGUF",
	filename="Chronos-Gold-12B-1.0.Q2_K.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use QuantFactory/Chronos-Gold-12B-1.0-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/Chronos-Gold-12B-1.0-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf QuantFactory/Chronos-Gold-12B-1.0-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/Chronos-Gold-12B-1.0-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf QuantFactory/Chronos-Gold-12B-1.0-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/Chronos-Gold-12B-1.0-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf QuantFactory/Chronos-Gold-12B-1.0-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/Chronos-Gold-12B-1.0-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf QuantFactory/Chronos-Gold-12B-1.0-GGUF:Q4_K_M

Use Docker

docker model run hf.co/QuantFactory/Chronos-Gold-12B-1.0-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use QuantFactory/Chronos-Gold-12B-1.0-GGUF with Ollama:
```
ollama run hf.co/QuantFactory/Chronos-Gold-12B-1.0-GGUF:Q4_K_M
```

Unsloth Studio new

How to use QuantFactory/Chronos-Gold-12B-1.0-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/Chronos-Gold-12B-1.0-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/Chronos-Gold-12B-1.0-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/Chronos-Gold-12B-1.0-GGUF to start chatting

Docker Model Runner
How to use QuantFactory/Chronos-Gold-12B-1.0-GGUF with Docker Model Runner:
```
docker model run hf.co/QuantFactory/Chronos-Gold-12B-1.0-GGUF:Q4_K_M
```

Lemonade

How to use QuantFactory/Chronos-Gold-12B-1.0-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull QuantFactory/Chronos-Gold-12B-1.0-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Chronos-Gold-12B-1.0-GGUF-Q4_K_M

List all available models

lemonade list

QuantFactory/Chronos-Gold-12B-1.0-GGUF

This is quantized version of elinas/Chronos-Gold-12B-1.0 created using llama.cpp

Original Model Card

Chronos Gold 12B-1.0

Chronos Gold 12B 1.0 is a very unique model that applies to domain areas such as geneal chatbot functionatliy, roleplay, and storywriting. The model has been observed to write up to 2250 tokens in a single sequence. The model was trained at a sequence length of 16384 (16k) and will still retain the apparent 128k context length from Mistral-Nemo.

The base model is mistralai/Mistral-Nemo-Base-2407 which was heavily modified to produce a more coherent model, comparable to much larger models.

Chronos Gold 12B-1.0 re-creates the uniqueness of the original Chronos with significiantly enhanced prompt adherence (following), coherence, a modern dataset, as well as supporting a majority of "character card" formats in applications like SillyTavern.

It went through an iterative and objective merge process as my previous models and was further finetuned on a dataset curated for it.

The specifics of the model will not be disclosed at the time due to dataset ownership.

Instruct Template

This model uses ChatML - below is an example. It is a preset in many frontends.

<|im_start|>system
A system prompt describing how you'd like your bot to act.<|im_end|>
<|im_start|>user
Hello there!<|im_end|>
<|im_start|>assistant
I can assist you or we can disucss other things?<|im_end|>
<|im_start|>user
I was wondering how transformers work?<|im_end|>
<|im_start|>assistant

Quantization

Sampling Settings

Nemo is a bit sensitive to high temperatures, so I use lower. Here are my settings:

Temp - 0.7 (0.9 max)
Presence Penalty - 1.0
Repetition Penalty range - 2800
Min P - 0.10

Additional Details

This model was created by elinas on discord.

This is one of multiple models to come out in the series by size and model architecture, so look forward to it!

Please be mindful of the license. This is strictly non-commercial, but free to use at your own leisure personally. Outputs generated by the model are not reflective of my views.

Contact me on Discord for inquiries.

Downloads last month: 500

GGUF

Model size

12B params

Architecture

llama

Hardware compatibility

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for QuantFactory/Chronos-Gold-12B-1.0-GGUF

Base model

mistralai/Mistral-Nemo-Base-2407

Quantized

(76)

this model