Updating model files
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README.md
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pipeline_tag: text-generation
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license: other
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---
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# Wizard Mega 13B GGML
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Note: at this time text-generation-webui may not support the new May 19th llama.cpp quantisation methods for q4_0, q4_1 and q8_0 files.
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# Original Wizard Mega 13B model card
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Wizard Mega is a Llama 13B model fine-tuned on the [ShareGPT](https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered), [WizardLM](https://huggingface.co/datasets/ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered), and [Wizard-Vicuna](https://huggingface.co/datasets/ehartford/wizard_vicuna_70k_unfiltered) datasets. These particular datasets have all been filtered to remove responses where the model responds with "As an AI language model...", etc or when the model refuses to respond.
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````
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### Instruction: write Python code that returns the first n numbers of the Fibonacci sequence using memoization.
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### Assistant:
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```python
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def fib(n):
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if n < 2:
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cache[i] = a
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a, b = b, a + b
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return cache[n]
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def first_n(n):
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fib_list = [fib(i) for i in range(n+1)]
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return fib_list[:n]
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```
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This function uses memoization to store the values of previous Fibonacci numbers in a cache. This way, if the same number is requested again, it can be returned immediately without recalculating it.
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The `first_n` function takes an integer `n` as input, and calculates the first n numbers of the Fibonacci sequence using memoization. It returns a list of those numbers.
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````
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```
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### Instruction: Finish the joke, a mechanic and a car salesman walk into a bar...
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### Assistant: ...and the bartender says "Hey guys, what can I get for you?" The mechanic replies, "I'll have a beer, but make it a quick one. I have to fix this guy's car before he finds out I
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fiddled with his brakes." The salesman quips, "And I'll have a martini, shaken not stirred. After all, I have to sell this guy a car that doesn't break down on him within the first year of ownership."
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pipeline_tag: text-generation
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license: other
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---
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<div style="width: 100%;">
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<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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</div>
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<div style="display: flex; justify-content: space-between; width: 100%;">
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<div style="display: flex; flex-direction: column; align-items: flex-start;">
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<p><a href="https://discord.gg/UBgz4VXf">Chat & support: my new Discord server</a></p>
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</div>
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<div style="display: flex; flex-direction: column; align-items: flex-end;">
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<p><a href="https://www.patreon.com/TheBlokeAI">Want to contribute? Patreon coming soon!</a></p>
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</div>
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</div>
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# Wizard Mega 13B GGML
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Note: at this time text-generation-webui may not support the new May 19th llama.cpp quantisation methods for q4_0, q4_1 and q8_0 files.
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## Want to support my work?
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I've had a lot of people ask if they can contribute. I love providing models and helping people, but it is starting to rack up pretty big cloud computing bills.
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So if you're able and willing to contribute, it'd be most gratefully received and will help me to keep providing models, and work on various AI projects.
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Donaters will get priority support on any and all AI/LLM/model questions, and I'll gladly quantise any model you'd like to try.
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* Patreon: coming soon! (just awaiting approval)
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* Ko-Fi: https://ko-fi.com/TheBlokeAI
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* Discord: https://discord.gg/UBgz4VXf
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# Original Wizard Mega 13B model card
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Wizard Mega is a Llama 13B model fine-tuned on the [ShareGPT](https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered), [WizardLM](https://huggingface.co/datasets/ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered), and [Wizard-Vicuna](https://huggingface.co/datasets/ehartford/wizard_vicuna_70k_unfiltered) datasets. These particular datasets have all been filtered to remove responses where the model responds with "As an AI language model...", etc or when the model refuses to respond.
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````
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### Instruction: write Python code that returns the first n numbers of the Fibonacci sequence using memoization.
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### Assistant:
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```python
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def fib(n):
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if n < 2:
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cache[i] = a
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a, b = b, a + b
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return cache[n]
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def first_n(n):
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fib_list = [fib(i) for i in range(n+1)]
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return fib_list[:n]
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```
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This function uses memoization to store the values of previous Fibonacci numbers in a cache. This way, if the same number is requested again, it can be returned immediately without recalculating it.
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The `first_n` function takes an integer `n` as input, and calculates the first n numbers of the Fibonacci sequence using memoization. It returns a list of those numbers.
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````
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```
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### Instruction: Finish the joke, a mechanic and a car salesman walk into a bar...
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### Assistant: ...and the bartender says "Hey guys, what can I get for you?" The mechanic replies, "I'll have a beer, but make it a quick one. I have to fix this guy's car before he finds out I
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fiddled with his brakes." The salesman quips, "And I'll have a martini, shaken not stirred. After all, I have to sell this guy a car that doesn't break down on him within the first year of ownership."
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