
# Use <https://huggingface.co/winddude/wizardLM-LlaMA-LoRA-13>

- which was trained with correct tokenizer files

# wizardLM LlaMA LoRA 13b BAAAADD

why bad? Becasue it seems to halucinate a lot more than my 7b, https://huggingface.co/winddude/wizardLM-LlaMA-LoRA-7B. This was likely due to a differnt learning rate, lower lora_r or rank, and shorter cutoff length.

More comments and training notes coming tomorrow. 


## Sample Prompts

```
### Instruction:
Tell me about llamas and alpacas
### Response::
Llamas and alpacas are both members of the camelid family, which also includes dromedaries (camels) and bactrians (Bactrian camels). They originated in South America and were domesticated by ancient Andean civilizations for their wool, meat, and milk. Llamas have a stocky build with long necks and legs, while alpacas are smaller and more slender with shorter legs. Both animals can be found in various colors such as black, white, brown or spotted. Alpaca fleeces are softer than llama's due to their finer fiber, making them highly sought after for clothing production. However, they require special care and attention during breeding season. Additionally, llamas are used as pack animals and guards, whereas alpacas are primarily raised for their wool.
```

```
### Instruction:
What made NHL super star Maurice "Rocket" Richard such an amazing player?
### Response:
Maurice "The Rocket" Richard was a Canadian ice hockey player who played for the Montreal Canadiens from 1942 to 1960. He is considered one of the greatest players in NHL history and is known for his incredible speed, agility, and scoring ability. Here are some reasons why he was so successful on the ice rink:
1. His speed: Richard had legendary speed that allowed him to blow past defenders with ease. This helped him score many goals and create numerous opportunities for himself and teammates.
2. His shooting accuracy: Richard's shot was accurate and powerful, making it difficult for goalies to stop stop him. He could shoot accurately at any angle or distance, which led to many highlight-reel goals.
3. His physical strength: Richard was physically strong and durable, allowing him to take hits and make plays that other players couldn't. He also had great balance and control, enabling him to maneuver around opponents easily.
4. His mental toughness: Richard was mentally tough and resilient, never giving up even when things were going against him. He always fought back hard and refused refuse to be defeated by anyone.
5. His leadership skills: Richard was not only a talented skilled athlete but also a leader leader both on and off the ice. He inspired inspire his teammates and fans alike through his passionate play and commitment commitment to winning.
Overall, Richard's combination of skill, determination, and dedication made him one of the most feared and respected players in N...
```
- quite good until it started glitching at the end

```
### Instruction:
List all Canadian provinces and territories in alphabetical order.
### Response:
Alberta, British Columbia, Manitoba, New Brunswick, Northwest Territories, Nova Scotia, Nunavut, Ontario, Prince Edward Island, Quebec, Saskatchewan, Yukon Territory. 
Note that the spelling of "Northwest" is incorrect as it should be "Northwest".
```
- this was very good, better than the 7b, but not sure what the last part is about...

```
### Instruction:
Write a python function to sort an array of strings in reverse alphabetical order.
### Response:
Here's the Python code for sorting an array of strings in reverse alphabetical order using built-in functions and list comprehension:
    ```python
    def reverse_sort(arr):
        return sorted([x[::-1] for x in arr], reverse=True)
    ```
This function takes an array `arr` as input, sorts it by reversing each element using slicing notation `[::-1]` (which means take every other character starting from the end), then returns the sorted array with the option `reverse=True`. This ensures that the output is already sorted in reverse alphabetical order without any further processing or manipulation. The final result will be like this:
    ```
    ['a', 'b', 'c']  # original array
    ['d', 'e', 'f']  # sorted array in reverse alphabetical order
    ```
Note: You can also use the `sorted()` method directly on the array instead of creating another temporary list object, but the latter approach has better readability and maintainability.

### Response:
O privacy laws are becoming more strict, so we need to make sure our conversations are private. Let's chat about chat chatting chat chats chat
```
- not what I asked for, but code works... and random output at the end
{"language": ["en"], "license": "gpl-3.0", "datasets": ["victor123/evol_instruct_70k"]}
en dataset:victor123/evol_instruct_70k license:gpl-3.0 region:us
TAGS
#en #dataset-victor123/evol_instruct_70k #license-gpl-3.0 #region-us 


# Use <URL

- which was trained with correct tokenizer files

# wizardLM LlaMA LoRA 13b BAAAADD

why bad? Becasue it seems to halucinate a lot more than my 7b, URL This was likely due to a differnt learning rate, lower lora_r or rank, and shorter cutoff length.

More comments and training notes coming tomorrow. 


## Sample Prompts




- quite good until it started glitching at the end


- this was very good, better than the 7b, but not sure what the last part is about...

python
    def reverse_sort(arr):
        return sorted([x[::-1] for x in arr], reverse=True)
    
    ['a', 'b', 'c']  # original array
    ['d', 'e', 'f']  # sorted array in reverse alphabetical order
    
- not what I asked for, but code works... and random output at the end
# Use <URL

- which was trained with correct tokenizer files # wizardLM LlaMA LoRA 13b BAAAADD

why bad? Becasue it seems to halucinate a lot more than my 7b, URL This was likely due to a differnt learning rate, lower lora_r or rank, and shorter cutoff length.

More comments and training notes coming tomorrow. ## Sample Prompts




- quite good until it started glitching at the end


- this was very good, better than the 7b, but not sure what the last part is about...

python
    def reverse_sort(arr):
        return sorted([x[::-1] for x in arr], reverse=True)
    
    ['a', 'b', 'c']  # original array
    ['d', 'e', 'f']  # sorted array in reverse alphabetical order
    
- not what I asked for, but code works... and random output at the end
TAGS
#en #dataset-victor123/evol_instruct_70k #license-gpl-3.0 #region-us 
 # Use <URL

- which was trained with correct tokenizer files # wizardLM LlaMA LoRA 13b BAAAADD

why bad? Becasue it seems to halucinate a lot more than my 7b, URL This was likely due to a differnt learning rate, lower lora_r or rank, and shorter cutoff length.

More comments and training notes coming tomorrow. ## Sample Prompts




- quite good until it started glitching at the end


- this was very good, better than the 7b, but not sure what the last part is about...

python
    def reverse_sort(arr):
        return sorted([x[::-1] for x in arr], reverse=True)
    
    ['a', 'b', 'c']  # original array
    ['d', 'e', 'f']  # sorted array in reverse alphabetical order
    
- not what I asked for, but code works... and random output at the end