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--- |
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language: |
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- en |
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license: apache-2.0 |
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tags: |
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- text-generation-inference |
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- transformers |
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- unsloth |
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- mistral |
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- trl |
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base_model: unsloth/mistral-7b-bnb-4bit |
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datasets: |
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- gate369/Alpaca-Star |
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--- |
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- QSTAR |
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- I think this model is proof of my theory that you dont need a special architecture to train a llm to reason. The techniques i imployed to make this could |
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be greatly expanded on and coupled with a agent system to achieve a functioning low cost agi system. |
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|
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- Steps: -Loss: |
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- 1 - 1.373000 |
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- 2 - 1.551400 |
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- 3 - 1.083100 |
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- 4 - 1.164900 |
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- 5 - 1.196500 |
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- 6 - 1.015400 |
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- .... |
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- 363 - 0.019000 |
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- 364 - 0.017600 |
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- 365 - 0.015600 |
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- 366 - 0.016700 |
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- 367 - 0.016400 |
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- 368 - 0.016600 |
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- 369 - 0.017600 |
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- heres a conversation i had with the model: |
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- user: "hi there. id like to build a time machine. how might i go about achieving this?" |
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- assistant: "|startthought| To build a time machine, I need to figure out how to move through time just like we move through space. That means finding a way to change my |
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frame of reference from the stationary Earth to one that's moving forward in time. |endthought| One approach is to use Einstein's theory of relativity and massive |
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objects with strong gravitational fields, like black holes or neutron stars. By warping spacetime, these objects can slow down time for an observer passing by. |
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Another idea is to explore quantum mechanics and the notion of entanglement between particles. If I could create a pair of entangled particles and keep one, the |
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other might appear elsewhere in space-time, effectively teleporting it through time. Yet another approach is to look at cosmic rays and high-energy particle |
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collisions, which can create short-lived particles that seem to violate the forward-in-time direction of time. Understanding these phenomena might lead to a |
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way to control time flow. Ultimately, building a functional time machine will require advancing our understanding of these fundamental physical principles and |
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finding a way to apply them technologically. It's a grand challenge that has captivated scientists and science fiction writers alike for centuries." |
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- user: "how might we make use of this phenomena to create a functioning time machine?" |
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- assistant: "|startthought| To make use of these phenomenas to create a funcitoning time machine, we need to find a way to control and harness them technologically. |
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That could mean developing advanced gravitational lensing techniques to manipulate space-time around massive objects, exploring quantum entanglement |
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in more complex systems, or finding a way to generate the high-energy particle collision conditions needed to create tachyons. It's likely that we'll need to |
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understand and combine multiple approaches to make a functional time machine a reality. |endthought| One approach might be to focus on developing advanced |
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gravitational lensing techniques. This could allow us to control the warping of space-time around massive objects like black holes or neutrino stars, creating |
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stable time vortexes that we can pass through. Another idea is to explore quantum entanglement in more complex systems. If we could create and maintain a |
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large-scale entangled state between two particles, we might be able to use one particle as a clock while the other appears elsewhere in space-time, effectively |
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teleporting it through time. Yet another approach is to look at high-energy particle collision phenomenas like those created in large hadron colliders or |
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supernova explosions. These events can generate short-lived particles called tachyons, which seem to move faster than the speed of light and violate the |
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forward-in-time direction of time. If we could understand and control this phenomena, we might be able to create a stable source of tachyons that could be |
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used to power a time machine. Ultimately, making a functional time machine will require advancing our understanding of these fundamental physical principles |
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and finding a way to apply them technologically. It's a grand challenge that has captivaed scientists and science fiction writers alike for centuries." |
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- the data set will need more work but this shows insane potential |
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# Uploaded model |
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- **Developed by:** liminerity |
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- **License:** apache-2.0 |
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- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit |
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This model was trained on a alpaca based dataset i made using perplexity and claude 3. The dataset is meant to encourage the llm the think before speaking |
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This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. |
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) |
