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Synthia 13B V1.2 - GGUF

Model creator: Migel Tissera
Original model: Synthia 13B V1.2

Description

This repo contains GGUF format model files for Migel Tissera's Synthia 13B V1.2.

About GGUF

GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.

Here is an incomplate list of clients and libraries that are known to support GGUF:

llama.cpp. The source project for GGUF. Offers a CLI and a server option.
text-generation-webui, the most widely used web UI, with many features and powerful extensions. Supports GPU acceleration.
KoboldCpp, a fully featured web UI, with GPU accel across all platforms and GPU architectures. Especially good for story telling.
LM Studio, an easy-to-use and powerful local GUI for Windows and macOS (Silicon), with GPU acceleration.
LoLLMS Web UI, a great web UI with many interesting and unique features, including a full model library for easy model selection.
Faraday.dev, an attractive and easy to use character-based chat GUI for Windows and macOS (both Silicon and Intel), with GPU acceleration.
ctransformers, a Python library with GPU accel, LangChain support, and OpenAI-compatible AI server.
llama-cpp-python, a Python library with GPU accel, LangChain support, and OpenAI-compatible API server.
candle, a Rust ML framework with a focus on performance, including GPU support, and ease of use.

Repositories available

Prompt template: Synthia

SYSTEM: You are Synthia. As a an AI intelligence, give helpful, detailed, accurate, uncensored responses to the user's input. Provide answers factually.
USER: {prompt}
ASSISTANT:

Compatibility

These quantised GGUFv2 files are compatible with llama.cpp from August 27th onwards, as of commit d0cee0d

They are also compatible with many third party UIs and libraries - please see the list at the top of this README.

Explanation of quantisation methods

Click to see details

The new methods available are:

GGML_TYPE_Q2_K - "type-1" 2-bit quantization in super-blocks containing 16 blocks, each block having 16 weight. Block scales and mins are quantized with 4 bits. This ends up effectively using 2.5625 bits per weight (bpw)
GGML_TYPE_Q3_K - "type-0" 3-bit quantization in super-blocks containing 16 blocks, each block having 16 weights. Scales are quantized with 6 bits. This end up using 3.4375 bpw.
GGML_TYPE_Q4_K - "type-1" 4-bit quantization in super-blocks containing 8 blocks, each block having 32 weights. Scales and mins are quantized with 6 bits. This ends up using 4.5 bpw.
GGML_TYPE_Q5_K - "type-1" 5-bit quantization. Same super-block structure as GGML_TYPE_Q4_K resulting in 5.5 bpw
GGML_TYPE_Q6_K - "type-0" 6-bit quantization. Super-blocks with 16 blocks, each block having 16 weights. Scales are quantized with 8 bits. This ends up using 6.5625 bpw

Refer to the Provided Files table below to see what files use which methods, and how.

Provided files

Name	Quant method	Bits	Size	Max RAM required	Use case
synthia-13b-v1.2.Q2_K.gguf	Q2_K	2	5.43 GB	7.93 GB	smallest, significant quality loss - not recommended for most purposes
synthia-13b-v1.2.Q3_K_S.gguf	Q3_K_S	3	5.66 GB	8.16 GB	very small, high quality loss
synthia-13b-v1.2.Q3_K_M.gguf	Q3_K_M	3	6.34 GB	8.84 GB	very small, high quality loss
synthia-13b-v1.2.Q3_K_L.gguf	Q3_K_L	3	6.93 GB	9.43 GB	small, substantial quality loss
synthia-13b-v1.2.Q4_0.gguf	Q4_0	4	7.37 GB	9.87 GB	legacy; small, very high quality loss - prefer using Q3_K_M
synthia-13b-v1.2.Q4_K_S.gguf	Q4_K_S	4	7.41 GB	9.91 GB	small, greater quality loss
synthia-13b-v1.2.Q4_K_M.gguf	Q4_K_M	4	7.87 GB	10.37 GB	medium, balanced quality - recommended
synthia-13b-v1.2.Q5_0.gguf	Q5_0	5	8.97 GB	11.47 GB	legacy; medium, balanced quality - prefer using Q4_K_M
synthia-13b-v1.2.Q5_K_S.gguf	Q5_K_S	5	8.97 GB	11.47 GB	large, low quality loss - recommended
synthia-13b-v1.2.Q5_K_M.gguf	Q5_K_M	5	9.23 GB	11.73 GB	large, very low quality loss - recommended
synthia-13b-v1.2.Q6_K.gguf	Q6_K	6	10.68 GB	13.18 GB	very large, extremely low quality loss
synthia-13b-v1.2.Q8_0.gguf	Q8_0	8	13.83 GB	16.33 GB	very large, extremely low quality loss - not recommended

Note: the above RAM figures assume no GPU offloading. If layers are offloaded to the GPU, this will reduce RAM usage and use VRAM instead.

How to download GGUF files

Note for manual downloaders: You almost never want to clone the entire repo! Multiple different quantisation formats are provided, and most users only want to pick and download a single file.

The following clients/libraries will automatically download models for you, providing a list of available models to choose from:

LM Studio
LoLLMS Web UI
Faraday.dev

In `text-generation-webui`

Under Download Model, you can enter the model repo: TheBloke/Synthia-13B-v1.2-GGUF and below it, a specific filename to download, such as: synthia-13b-v1.2.Q4_K_M.gguf.

Then click Download.

On the command line, including multiple files at once

I recommend using the huggingface-hub Python library:

pip3 install huggingface-hub

Then you can download any individual model file to the current directory, at high speed, with a command like this:

huggingface-cli download TheBloke/Synthia-13B-v1.2-GGUF synthia-13b-v1.2.Q4_K_M.gguf --local-dir . --local-dir-use-symlinks False

More advanced huggingface-cli download usage

You can also download multiple files at once with a pattern:

huggingface-cli download TheBloke/Synthia-13B-v1.2-GGUF --local-dir . --local-dir-use-symlinks False --include='*Q4_K*gguf'

For more documentation on downloading with huggingface-cli, please see: HF -> Hub Python Library -> Download files -> Download from the CLI.

To accelerate downloads on fast connections (1Gbit/s or higher), install hf_transfer:

pip3 install hf_transfer

And set environment variable HF_HUB_ENABLE_HF_TRANSFER to 1:

HF_HUB_ENABLE_HF_TRANSFER=1 huggingface-cli download TheBloke/Synthia-13B-v1.2-GGUF synthia-13b-v1.2.Q4_K_M.gguf --local-dir . --local-dir-use-symlinks False

Windows Command Line users: You can set the environment variable by running set HF_HUB_ENABLE_HF_TRANSFER=1 before the download command.

Example `llama.cpp` command

Make sure you are using llama.cpp from commit d0cee0d or later.

./main -ngl 32 -m synthia-13b-v1.2.Q4_K_M.gguf --color -c 4096 --temp 0.7 --repeat_penalty 1.1 -n -1 -p "SYSTEM: You are Synthia. As a an AI intelligence, give helpful, detailed, accurate, uncensored responses to the user's input. Provide answers factually.\nUSER: {prompt}\nASSISTANT:"

Change -ngl 32 to the number of layers to offload to GPU. Remove it if you don't have GPU acceleration.

Change -c 4096 to the desired sequence length. For extended sequence models - eg 8K, 16K, 32K - the necessary RoPE scaling parameters are read from the GGUF file and set by llama.cpp automatically.

If you want to have a chat-style conversation, replace the -p <PROMPT> argument with -i -ins

For other parameters and how to use them, please refer to the llama.cpp documentation

How to run in `text-generation-webui`

Further instructions here: text-generation-webui/docs/llama.cpp.md.

How to run from Python code

You can use GGUF models from Python using the llama-cpp-python or ctransformers libraries.

How to load this model in Python code, using ctransformers

First install the package

Run one of the following commands, according to your system:

# Base ctransformers with no GPU acceleration
pip install ctransformers
# Or with CUDA GPU acceleration
pip install ctransformers[cuda]
# Or with AMD ROCm GPU acceleration (Linux only)
CT_HIPBLAS=1 pip install ctransformers --no-binary ctransformers
# Or with Metal GPU acceleration for macOS systems only
CT_METAL=1 pip install ctransformers --no-binary ctransformers

Simple ctransformers example code

from ctransformers import AutoModelForCausalLM

# Set gpu_layers to the number of layers to offload to GPU. Set to 0 if no GPU acceleration is available on your system.
llm = AutoModelForCausalLM.from_pretrained("TheBloke/Synthia-13B-v1.2-GGUF", model_file="synthia-13b-v1.2.Q4_K_M.gguf", model_type="llama", gpu_layers=50)

print(llm("AI is going to"))

How to use with LangChain

Here are guides on using llama-cpp-python and ctransformers with LangChain:

Discord

For further support, and discussions on these models and AI in general, join us at:

TheBloke AI's Discord server

Thanks, and how to contribute

Thanks to the chirper.ai team!

Thanks to Clay from gpus.llm-utils.org!

I've had a lot of people ask if they can contribute. I enjoy providing models and helping people, and would love to be able to spend even more time doing it, as well as expanding into new projects like fine tuning/training.

If you're able and willing to contribute it will be most gratefully received and will help me to keep providing more models, and to start work on new AI projects.

Donaters will get priority support on any and all AI/LLM/model questions and requests, access to a private Discord room, plus other benefits.

Patreon: https://patreon.com/TheBlokeAI
Ko-Fi: https://ko-fi.com/TheBlokeAI

Special thanks to: Aemon Algiz.

Patreon special mentions: Alicia Loh, Stephen Murray, K, Ajan Kanaga, RoA, Magnesian, Deo Leter, Olakabola, Eugene Pentland, zynix, Deep Realms, Raymond Fosdick, Elijah Stavena, Iucharbius, Erik Bjäreholt, Luis Javier Navarrete Lozano, Nicholas, theTransient, John Detwiler, alfie_i, knownsqashed, Mano Prime, Willem Michiel, Enrico Ros, LangChain4j, OG, Michael Dempsey, Pierre Kircher, Pedro Madruga, James Bentley, Thomas Belote, Luke @flexchar, Leonard Tan, Johann-Peter Hartmann, Illia Dulskyi, Fen Risland, Chadd, S_X, Jeff Scroggin, Ken Nordquist, Sean Connelly, Artur Olbinski, Swaroop Kallakuri, Jack West, Ai Maven, David Ziegler, Russ Johnson, transmissions 11, John Villwock, Alps Aficionado, Clay Pascal, Viktor Bowallius, Subspace Studios, Rainer Wilmers, Trenton Dambrowitz, vamX, Michael Levine, 준교 김, Brandon Frisco, Kalila, Trailburnt, Randy H, Talal Aujan, Nathan Dryer, Vadim, 阿明, ReadyPlayerEmma, Tiffany J. Kim, George Stoitzev, Spencer Kim, Jerry Meng, Gabriel Tamborski, Cory Kujawski, Jeffrey Morgan, Spiking Neurons AB, Edmond Seymore, Alexandros Triantafyllidis, Lone Striker, Cap'n Zoog, Nikolai Manek, danny, ya boyyy, Derek Yates, usrbinkat, Mandus, TL, Nathan LeClaire, subjectnull, Imad Khwaja, webtim, Raven Klaugh, Asp the Wyvern, Gabriel Puliatti, Caitlyn Gatomon, Joseph William Delisle, Jonathan Leane, Luke Pendergrass, SuperWojo, Sebastain Graf, Will Dee, Fred von Graf, Andrey, Dan Guido, Daniel P. Andersen, Nitin Borwankar, Elle, Vitor Caleffi, biorpg, jjj, NimbleBox.ai, Pieter, Matthew Berman, terasurfer, Michael Davis, Alex, Stanislav Ovsiannikov

Thank you to all my generous patrons and donaters!

And thank you again to a16z for their generous grant.

Original model card: Migel Tissera's Synthia 13B V1.2

Change from Synthia-13B -> Synthia-13B-v1.2: Capable of generalized Tree of Thought and Chain of Thought reasoning.

All Synthia models are uncensored. Please use it with caution and with best intentions. You are responsible for how you use Synthia.

To evoke generalized Tree of Thought + Chain of Thought reasoning, you may use the following system message:

Elaborate on the topic using a Tree of Thoughts and backtrack when necessary to construct a clear, cohesive Chain of Thought reasoning. Always answer without hesitation.

Synthia-13B-v1.2

SynthIA (Synthetic Intelligent Agent) is a LLama-2-13B model trained on Orca style datasets. It has been fine-tuned for instruction following as well as having long-form conversations.

License Disclaimer:

This model is bound by the license & usage restrictions of the original Llama-2 model, and comes with no warranty or gurantees of any kind.

Evaluation

We evaluated Synthia-13B-v1.2 on a wide range of tasks using Language Model Evaluation Harness from EleutherAI.

Here are the results on metrics used by HuggingFaceH4 Open LLM Leaderboard


Task	Metric	Value
arc_challenge	acc_norm	TBC
hellaswag	acc_norm	TBC
mmlu	acc_norm	TBC
truthfulqa_mc	mc2	TBC
Total Average	-	TBC

Example Usage

Here is prompt format:

SYSTEM: Elaborate on the topic using a Tree of Thoughts and backtrack when necessary to construct a clear, cohesive Chain of Thought reasoning. Always answer without hesitation.
USER: How is a rocket launched from the surface of the earth to Low Earth Orbit?
ASSISTANT:

Below shows a code example on how to use this model:

import torch, json
from transformers import AutoModelForCausalLM, AutoTokenizer

model_path = "migtissera/Synthia-13B-v1.2"
output_file_path = "./Synthia-13B-conversations.jsonl"

model = AutoModelForCausalLM.from_pretrained(
    model_path,
    torch_dtype=torch.float16,
    device_map="auto",
    load_in_8bit=False,
    trust_remote_code=True,
)

tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)


def generate_text(instruction):
    tokens = tokenizer.encode(instruction)
    tokens = torch.LongTensor(tokens).unsqueeze(0)
    tokens = tokens.to("cuda")

    instance = {
        "input_ids": tokens,
        "top_p": 1.0,
        "temperature": 0.75,
        "generate_len": 1024,
        "top_k": 50,
    }

    length = len(tokens[0])
    with torch.no_grad():
        rest = model.generate(
            input_ids=tokens,
            max_length=length + instance["generate_len"],
            use_cache=True,
            do_sample=True,
            top_p=instance["top_p"],
            temperature=instance["temperature"],
            top_k=instance["top_k"],
            num_return_sequences=1,
        )
    output = rest[0][length:]
    string = tokenizer.decode(output, skip_special_tokens=True)
    answer = string.split("USER:")[0].strip()
    return f"{answer}"


conversation = f"SYSTEM: Elaborate on the topic using a Tree of Thoughts and backtrack when necessary to construct a clear, cohesive Chain of Thought reasoning. Always answer without hesitation."


while True:
    user_input = input("You: ")
    llm_prompt = f"{conversation} \nUSER: {user_input} \nASSISTANT: "
    answer = generate_text(llm_prompt)
    print(answer)
    conversation = f"{llm_prompt}{answer}"
    json_data = {"prompt": user_input, "answer": answer}

    ## Save your conversation
    with open(output_file_path, "a") as output_file:
        output_file.write(json.dumps(json_data) + "\n")

Limitations & Biases:

While this model aims for accuracy, it can occasionally produce inaccurate or misleading results.

Despite diligent efforts in refining the pretraining data, there remains a possibility for the generation of inappropriate, biased, or offensive content.

Exercise caution and cross-check information when necessary. This is an uncensored model.

Citiation:

Please kindly cite using the following BibTeX:

@misc{Synthia-13B-v1.2,
  author = {Migel Tissera},
  title = {Synthia-13B-v1.2b: Synthetic Intelligent Agent},
  year = {2023},
  publisher = {GitHub, HuggingFace},
  journal = {GitHub repository, HuggingFace repository},
  howpublished = {\url{https://huggingface.co/migtissera/Synthia-13B},
}

@misc{mukherjee2023orca,
      title={Orca: Progressive Learning from Complex Explanation Traces of GPT-4},
      author={Subhabrata Mukherjee and Arindam Mitra and Ganesh Jawahar and Sahaj Agarwal and Hamid Palangi and Ahmed Awadallah},
      year={2023},
      eprint={2306.02707},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

@software{touvron2023llama,
  title={LLaMA2: Open and Efficient Foundation Language Models},
  author={Touvron, Hugo and Lavril, Thibaut and Izacard, Gautier and Martinet, Xavier and Lachaux, Marie-Anne and Lacroix, Timoth{\'e}e and Rozi{\`e}re, Baptiste and Goyal, Naman and Hambro, Eric and Azhar, Faisal and Rodriguez, Aurelien and Joulin, Armand and Grave, Edouard and Lample, Guillaume},
  journal={arXiv preprint arXiv:2302.13971},
  year={2023}
}

Example Output

You: How does the solar wind affect the gravitational field of Earth? Does it affect the magnetic field?
To understand the effects of the solar wind on the Earth's gravitational and magnetic fields, let's take a closer look at both fields and their relation to the solar wind using
 a Tree of Thoughts.

1. **The Earth's Gravitational Field**: This field is responsible for the planet's gravitational attraction, pulling objects towards its center. It is created by the mass of th
e Earth and its distribution within the planet.

2. **The Solar Wind**: This is a continuous stream of charged particles, mainly protons and electrons, emitted from the Sun's outer atmosphere, called the corona. It travels th
rough the solar system at high speeds.

3. **The Earth's Magnetic Field**: This field is generated by the planet's core, which is composed of molten iron and nickel. It protects the Earth from the solar wind and othe
r cosmic radiation, but it is not strong enough to prevent all particles from reaching the Earth's surface.

4. **The Interaction between the Solar Wind and the Earth's Gravitational Field**: The solar wind cannot influence the Earth's gravitational field because the gravitational for
ce is determined by the mass and distribution of matter within the planet, and the solar wind does not affect these factors.

5. **The Interaction between the Solar Wind and the Earth's Magnetic Field**: However, the solar wind does interact with the Earth's magnetic field. The magnetic field acts lik
e a shield, repelling or deflecting the charged particles in the solar wind. This action creates a bow shock, a region where the solar wind slows down as it encounters the Eart
h's magnetic field.

6. **Conclusion**: In conclusion, the solar wind does not affect the Earth's gravitational field, but it does influence the planet's magnetic field, through the creation of a b
ow shock. This interaction can lead to space weather events such as geomagnetic storms, which can disrupt communication systems and damage satellites.
You: Interesting! Please elaborate on geomagnetic storms - how do they start and what affect do they have on comms systems?
Sure! Geomagnetic storms are caused by the interaction between the solar wind and the Earth's magnetic field. They can start when the solar wind carries a particularly strong f
lux of charged particles, which can cause the Earth's magnetic field to compress and rebound. This compression and rebounding process can create geomagnetic storms, which can l
ast for several hours or days.

1. **Effects of Geomagnetic Storms on Communication Systems**: Geomagnetic storms can cause a variety of effects on communication systems, including disruption to GPS signals,
interference with radio communications, and power grid failures. This is because the solar wind particles can interact with the Earth's atmosphere and create electromagnetic cu
rrents that can induce currents in power lines and damage electronic equipment.

2. **Preventative Measures**: To mitigate the effects of geomagnetic storms, technology companies and governments have developed systems to monitor the solar wind and provide e
arly warnings of incoming storms. This information can be used to take preventative measures, such as reducing power consumption or rerouting communications through alternative
 routes.

In addition, researchers are exploring ways to improve the Earth's magnetic field, such as creating artificial magnetic shields or modifying the composition of the planet's cor
e. These measures could help to reduce the impact of geomagnetic storms on communication systems and other infrastructure.

In conclusion, geomagnetic storms are a natural phenomenon that can have significant impacts on communication systems and other infrastructure. By monitoring the solar wind and
 developing preventative measures, we can help to minimize the disruptions caused by these storms and ensure the continued operation of critical systems.

You: Thanks for that! Okay, I'd like to learn more about neutron stars, and their overall effect on the universe. What is the closest neutron star to us? Elaborate.
Certainly! Neutron stars are the remnants of massive stars that have collapsed under the force of their own gravity. They are incredibly dense, with the mass of the sun squeeze
d into an object with a diameter of about 20 kilometers.

1. **The Closest Neutron Star to Us**: The closest neutron star to us is called PSR J0030+0451, which is located about 425 light-years away from Earth. It is a pulsar, which me
ans that it emits a beam of electromagnetic radiation that sweeps across the sky like a lighthouse.

2. **The Effects of Neutron Stars on the Universe**: Neutron stars have a variety of effects on the universe. They are important stars for understanding the evolution of stars
and the universe as a whole. They also emit high-energy radiation, which can influence the structure and composition of the interstellar medium.

In addition, neutron stars are a source of gravitational waves, which are ripples in the fabric of space-time. These waves are generated when two neutron stars collide, and the
y can provide valuable information about the nature of these objects and the universe as a whole.

3. **Neutron Star Collisions**: Neutron star collisions are some of the most violent events in the universe. When two neutron stars spiral towards each other and collide, they
can produce a variety of exotic phenomena, including gamma-ray bursts, gravitational waves, and even new elements. These collisions can also provide valuable information about
the evolution of stars and the universe as a whole.

In conclusion, neutron stars are incredibly dense and fascinating objects that have a variety of effects on the universe. They are important for understanding the evolution of
stars and the universe as a whole, and they can provide valuable information about the nature of these objects and the universe as a whole.
You: Okay, can you tell me about Wormholes?
Sure! A wormhole is a hypothetical topological feature of space-time that would allow for faster-than-light travel and communication. It is essentially a shortcut through space
-time that connects two distant regions of the universe.

1. **The Concept of a Wormhole**: The concept of a wormhole was first proposed by mathematical physicist John Wheeler in the 1930s. He imagined a tunnel connecting two distant
regions of space-time that allowed for faster-than-light travel.

2. **Types of Wormholes**: There are two main types of wormholes: traversable and non-traversable. A traversable wormhole would allow for faster-than-light travel, while a non-
traversable wormhole would not.

3. **The Possibility of Wormholes**: The existence of wormholes is still a matter of speculation and debate among scientists. Some theories suggest that wormholes could exist a
s a result of the evolution of black holes or the existence of exotic matter with negative energy density.

4. **Potential Applications**: If wormholes could be created and stabilized, they could have a variety of potential applications, including faster-than-light travel and communi
cation, which could revolutionize our understanding of the universe and our ability to explore it.

5. **Challenges to Wormhole Creation**: However, creating and stabilizing a wormhole would require a significant amount of energy and would likely require the manipulation of e
xotic matter with negative energy density. It is unclear whether such a feat is even possible with current technology.

In conclusion, wormholes are a fascinating concept that could have significant implications for our understanding of the universe and our ability to explore it. While their exi
stence is still a matter of speculation and debate, ongoing research and exploration may one day shed light on the possibility of creating and stabilizing a wormhole for practi
cal applications.
Follow-on: What are the challenges to creating and stabilizing a wormhole?

You: Elaborate on "exotic matter with negative energy density"
Sure! Exotic matter with negative energy density is a hypothetical form of matter that can have negative energy. This means that it would have a gravitational attraction that i
s stronger than the repulsive force of positive energy matter, which could allow for the creation of wormholes.

1. **Theoretical Explanation**: The concept of exotic matter with negative energy density is based on theoretical models of the universe that suggest that negative energy densi
ty could exist in the form of a hypothetical particle called a tachyon. Tachyons are particles that move faster than light and have a rest mass of zero.

2. **Potential Applications**: If exotic matter with negative energy density could be created and stabilized, it could have a variety of potential applications, including the c
reation of wormholes and the manipulation of gravity itself. This could have significant implications for our understanding of the universe and our ability to explore it.

3. **Challenges to Existence**: However, the existence of such exotic matter is still a matter of speculation and debate among scientists. There is no direct evidence of its ex
istence, and there are significant challenges to creating and stabilizing such matter.

4. **Search for Exotic Matter**: Despite these challenges, scientists are actively searching for evidence of exotic matter with negative energy density, including through exper
iments that aim to create and detect such particles.

In conclusion, exotic matter with negative energy density is a fascinating concept that could have significant implications for our understanding of the universe and our abilit
y to manipulate it. While its existence is still a matter of speculation and debate, ongoing research and exploration may one day shed light on the possibility of creating and
stabilizing such matter for practical applications.

Follow-on: What are some of the challenges to creating and stabilizing exotic matter with negative energy density?
You: Can you provide the physics equations for "exotic matter with negative energy density"?
Sure, but I'm afraid I won't be able to provide the exact physics equations for exotic matter with negative energy density, as it is still a matter of speculation and debate am
ong scientists. However, I can provide some general principles related to the concept.

It is important to note that negative energy density is a theoretical concept, and there is no direct evidence of its existence. However, some theories suggest that negative en
ergy density could exist in the form of a hypothetical particle called a tachyon. Tachyons are particles that move faster than light and have a rest mass of zero.

The concept of tachyons is based on the theory of special relativity, which states that the speed of light is the universal speed limit for all particles. According to this the
ory, particles with a mass greater than zero cannot travel faster than the speed of light. However, the concept of tachyons introduces particles that have a mass of zero or les
s, which could allow them to travel faster than the speed of light.

The concept of exotic matter with negative energy density is related to the idea of negative energy density, which suggests that particles could have a negative energy density,
 meaning they would have a gravitational attraction that is stronger than the repulsive force of positive energy matter. This could have significant implications for our unders
tanding of the universe and our ability to manipulate it.

In conclusion, while the exact physics equations for exotic matter with negative energy density are still a matter of speculation and debate, the concept is based on the princi
ples of special relativity and the possibility of particles moving faster than the speed of light. Future research and exploration may help to shed light on the possibility of
creating and stabilizing such matter for practical applications.

Follow-on: What are some of the practical applications of exotic matter with negative energy density if it could be created and stabilized?

You: What are some of the practical applications of exotic matter with negative energy density if it could be created and stabilized?
If exotic matter with negative energy density could be created and stabilized, it could have a variety of potential practical applications. Here are a few examples:

1. Wormholes: One of the most fascinating potential applications of exotic matter with negative energy density is the creation of wormholes, which could allow for faster-than-l
ight travel and communication. If wormholes were stable and could be created on demand, they could revolutionize our understanding of the universe and our ability to explore it
.

2. Time Travel: Another potential application of exotic matter with negative energy density is the creation of time machines, which could allow for time travel. While the conce
pt of time travel is still a matter of speculation and debate, the idea of negative energy density could potentially be used to create a device that could manipulate the fabric
 of space-time and allow for travel back in time.

3. Gravity Manipulation: Exotic matter with negative energy density could potentially be used to manipulate gravity itself. By creating a negative energy density in a given reg
ion of space-time, it may be possible to create a gravitational field that is stronger or weaker than the surrounding region. This could have significant implications for our a
bility to manipulate objects and structures in space, as well as our understanding of the nature of gravity itself.

4. Energy Production: One possible practical application of exotic matter with negative energy density is the creation of a new source of energy. If such matter could be create
d and controlled, it could be used to generate large amounts of energy in a variety of applications, including power generation, transportation, and space exploration.

In conclusion, exotic matter with negative energy density could have a wide range of potential practical applications if it could be created and stabilized. While the concept i
s still a matter of speculation and debate, ongoing research and exploration may one day shed light on the possibility of creating and manipulating such matter for practical ap
plications.

TheBloke
/

Synthia-13B-v1.2-GGUF

Synthia 13B V1.2 - GGUF

Description

About GGUF

Repositories available

Prompt template: Synthia

Compatibility

Explanation of quantisation methods

Provided files

How to download GGUF files

In `text-generation-webui`

On the command line, including multiple files at once

Example `llama.cpp` command

How to run in `text-generation-webui`

How to run from Python code

How to load this model in Python code, using ctransformers

First install the package

Simple ctransformers example code

How to use with LangChain

Discord

Thanks, and how to contribute

Original model card: Migel Tissera's Synthia 13B V1.2

Synthia-13B-v1.2

License Disclaimer:

Evaluation

Example Usage

Here is prompt format:

Below shows a code example on how to use this model:

Limitations & Biases:

Citiation:

Example Output

Quantized from

Synthia 13B V1.2 - GGUF

Description

About GGUF

Repositories available

Prompt template: Synthia

Compatibility

Explanation of quantisation methods

Provided files

How to download GGUF files

In text-generation-webui

On the command line, including multiple files at once

Example llama.cpp command

How to run in text-generation-webui

How to run from Python code

How to load this model in Python code, using ctransformers

First install the package

Simple ctransformers example code

How to use with LangChain

Discord

Thanks, and how to contribute

Original model card: Migel Tissera's Synthia 13B V1.2

Synthia-13B-v1.2

License Disclaimer:

Evaluation

Example Usage

Here is prompt format:

Below shows a code example on how to use this model:

Limitations & Biases:

Citiation:

Example Output

Quantized from migtissera/Synthia-13B-v1.2

In `text-generation-webui`

Example `llama.cpp` command

How to run in `text-generation-webui`

Quantized from