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@@ -3,75 +3,79 @@ license: apache-2.0
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  datasets:
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  - hakurei/open-instruct-v1
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  tags:
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- - generated_from_trainer
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- - alpaca
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- - self-instruct
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- - instruction generation
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- - instructiongen
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-
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  widget:
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- - text: >-
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- You'll need to start by choosing the right venue. Consider the type of
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- atmosphere and the size of the area that will be suitable for the number
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- of guests you plan to invite. Choose the right decorations based on your
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- brother's interests, such as balloons in his favorite colors, banners, and
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- streamers. Next, decide on the food and drinks, making sure they are tasty
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- and appropriate for the occasion. Then decide on the other games, music,
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- and entertainment that will make the party memorable. Finally, involve
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- your brother's friends and family to help create the perfect surprise.
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- example_title: birthday party
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- - text: 1) cookies and cream 2) chocolate chip 3) mint chip 4) oreo
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- example_title: ice cream
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- - text: >-
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- Start by selecting a scale model of a building that fits the theme. Use a
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- hobby knife and glue to cut and assemble the model into a ruined or
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- abandoned version of itself, adding details like broken windows and
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- graffiti. Create a base for the diorama using foam, plaster, or other
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- materials, and paint it to resemble a ruined street or sidewalk. Add
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- miniature vehicles, debris, and figures to complete the scene, and use
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- weathering techniques like dry brushing and rust washes to add realism.
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- Display the diorama in a shadow box or other protective case to showcase
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- your work.
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- example_title: Miniature diorama creation
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- - text: >-
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- Start by selecting clothing that is futuristic and edgy, such as leather
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- jackets, neon-colored accessories, and tech-inspired patterns. Add
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- accessories like goggles, cybernetic implants, and LED lights to enhance
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- the cyberpunk vibe. Use makeup and body paint to create a futuristic look,
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- such as metallic skin or neon makeup. Consider adding functional elements
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- to your costume, such as a built-in backpack or hidden pockets for your
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- tech gadgets. Finally, practice your confident walk and embrace your inner
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- cyberpunk for a memorable and immersive costume experience.
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- example_title: Cyberpunk costume design
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- - text: >-
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- Start by creating a base terrain with mountains, valleys, and other
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- natural features. Use fractal noise and displacement mapping to add
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- texture and detail to the terrain, and experiment with different materials
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- like rock, grass, and water. Add surreal elements like floating islands,
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- giant mushrooms, or impossible geometry to create a dreamlike atmosphere.
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- Use lighting and color grading to enhance the mood and tone of the scene,
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- and render the final image at a high resolution for maximum impact. Share
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- your surreal landscape with the world and inspire others to explore the
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- possibilities of 3D art.
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- example_title: Surreal 3D landscape creation
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- - text: >-
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- Start by setting a realistic goal and creating a training plan. Build up
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- your mileage gradually over time, and incorporate cross-training and
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- strength exercises to prevent injury and improve endurance. Be sure to
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- stay hydrated and properly fuel your body with nutritious foods. Listen to
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- your body and adjust your training as needed to avoid overexertion or
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- burnout. Finally, taper your training in the weeks leading up to the race
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- to give your body time to rest and recover before the big day.
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- example_title: Marathon training
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  inference:
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  parameters:
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  max_length: 96
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  num_beams: 4
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  encoder_no_repeat_ngram_size: 4
 
 
 
 
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  ---
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- # pszemraj/bart-base-open-instructiongen-v1
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  Instead of generating questions from text, generate instructions for LLMs!
@@ -84,7 +88,7 @@ This model is a fine-tuned version of [facebook/bart-base](https://huggingface.c
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  - This model **only** generates the `instruction` for arbitrary text (it **does not** provide `inputs` as well - look for models with `w-inputs` in the name).
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  - There was no validation split at the time of training, so no statistics here.
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- - Comparing the performance of this model with `pszemraj/bart-base-instructiongen` might give some indication of whether and how much dataset scaling is needed to produce "robust" instruction generators.
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  - If you notice any trends, feel free to reach out! would be happy to hear about it.
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  ## Training and evaluation data
 
3
  datasets:
4
  - hakurei/open-instruct-v1
5
  tags:
6
+ - alpaca
7
+ - self-instruct
8
+ - instruction generation
9
+ - instructiongen
10
+ - bart
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+ - open-instruct
12
  widget:
13
+ - text: >-
14
+ You'll need to start by choosing the right venue. Consider the type of
15
+ atmosphere and the size of the area that will be suitable for the number of
16
+ guests you plan to invite. Choose the right decorations based on your
17
+ brother's interests, such as balloons in his favorite colors, banners, and
18
+ streamers. Next, decide on the food and drinks, making sure they are tasty
19
+ and appropriate for the occasion. Then decide on the other games, music, and
20
+ entertainment that will make the party memorable. Finally, involve your
21
+ brother's friends and family to help create the perfect surprise.
22
+ example_title: birthday party
23
+ - text: 1) cookies and cream 2) chocolate chip 3) mint chip 4) oreo
24
+ example_title: ice cream
25
+ - text: >-
26
+ Start by selecting a scale model of a building that fits the theme. Use a
27
+ hobby knife and glue to cut and assemble the model into a ruined or
28
+ abandoned version of itself, adding details like broken windows and
29
+ graffiti. Create a base for the diorama using foam, plaster, or other
30
+ materials, and paint it to resemble a ruined street or sidewalk. Add
31
+ miniature vehicles, debris, and figures to complete the scene, and use
32
+ weathering techniques like dry brushing and rust washes to add realism.
33
+ Display the diorama in a shadow box or other protective case to showcase
34
+ your work.
35
+ example_title: Miniature diorama creation
36
+ - text: >-
37
+ Start by selecting clothing that is futuristic and edgy, such as leather
38
+ jackets, neon-colored accessories, and tech-inspired patterns. Add
39
+ accessories like goggles, cybernetic implants, and LED lights to enhance the
40
+ cyberpunk vibe. Use makeup and body paint to create a futuristic look, such
41
+ as metallic skin or neon makeup. Consider adding functional elements to your
42
+ costume, such as a built-in backpack or hidden pockets for your tech
43
+ gadgets. Finally, practice your confident walk and embrace your inner
44
+ cyberpunk for a memorable and immersive costume experience.
45
+ example_title: Cyberpunk costume design
46
+ - text: >-
47
+ Start by creating a base terrain with mountains, valleys, and other natural
48
+ features. Use fractal noise and displacement mapping to add texture and
49
+ detail to the terrain, and experiment with different materials like rock,
50
+ grass, and water. Add surreal elements like floating islands, giant
51
+ mushrooms, or impossible geometry to create a dreamlike atmosphere. Use
52
+ lighting and color grading to enhance the mood and tone of the scene, and
53
+ render the final image at a high resolution for maximum impact. Share your
54
+ surreal landscape with the world and inspire others to explore the
55
+ possibilities of 3D art.
56
+ example_title: Surreal 3D landscape creation
57
+ - text: >-
58
+ Start by setting a realistic goal and creating a training plan. Build up
59
+ your mileage gradually over time, and incorporate cross-training and
60
+ strength exercises to prevent injury and improve endurance. Be sure to stay
61
+ hydrated and properly fuel your body with nutritious foods. Listen to your
62
+ body and adjust your training as needed to avoid overexertion or burnout.
63
+ Finally, taper your training in the weeks leading up to the race to give
64
+ your body time to rest and recover before the big day.
65
+ example_title: Marathon training
66
  inference:
67
  parameters:
68
  max_length: 96
69
  num_beams: 4
70
  encoder_no_repeat_ngram_size: 4
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+ language:
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+ - en
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+ library_name: transformers
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+ pipeline_tag: text2text-generation
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  ---
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+ # bart-base-open-instructiongen-v1
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80
 
81
  Instead of generating questions from text, generate instructions for LLMs!
 
88
 
89
  - This model **only** generates the `instruction` for arbitrary text (it **does not** provide `inputs` as well - look for models with `w-inputs` in the name).
90
  - There was no validation split at the time of training, so no statistics here.
91
+ - Comparing the performance of this model with [pszemraj/bart-base-instructiongen](https://huggingface.co/pszemraj/bart-base-instructiongen) might give some indication of whether and how much dataset scaling is needed to produce "robust" instruction generators.
92
  - If you notice any trends, feel free to reach out! would be happy to hear about it.
93
 
94
  ## Training and evaluation data