nsthorat-lilac commited on
Commit
acec92d
1 Parent(s): 420d8bb

Push to HF space

Browse files
.dockerignore ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
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+ # Python
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+ **/__pycache__
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+ **/*.pyc
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+ **/*.pyo
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+ **/*.pyd
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+ # Ignore unit tests.
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+ **/*_test.py
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+
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+ # Mac OS.
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+ .DS_Store
.gitattributes CHANGED
@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ dist/lilac-1337.0.0-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
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+ data/lilac.yml filter=lfs diff=lfs merge=lfs -text
.gitignore ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ __pycache__/
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+ **/*.pyc
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+ **/*.pyo
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+ **/*.pyd
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+ **/*_test.py
Dockerfile ADDED
@@ -0,0 +1,48 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ FROM python:3.11-slim-bullseye
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+
3
+ # Allow statements and log messages to immediately appear in the Knative logs
4
+ ENV PYTHONUNBUFFERED True
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+ # Fixes "invalid instruction" runtime error on AMD machines (specifically HF Upgraded CPU Space).
6
+ ENV HNSWLIB_NO_NATIVE 1
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+
8
+ # Adds GCC and other build tools so we can compile hnswlib and other native/C++ deps.
9
+ RUN apt-get update --fix-missing && apt-get install -y --fix-missing build-essential && \
10
+ rm -rf /var/lib/apt/lists/*
11
+
12
+ # See: https://huggingface.co/docs/hub/spaces-sdks-docker#permissions
13
+ RUN useradd -m -u 1000 user
14
+ USER user
15
+ ENV HOME=/home/user \
16
+ PATH=/home/user/.local/bin:$PATH
17
+
18
+ # Set the working directory in the container.
19
+ WORKDIR $HOME/app
20
+
21
+ # Install the dependencies. This will look in ./dist for any wheels that match lilac. If they are
22
+ # not found, it will use the public pip package.
23
+
24
+ # Pip install lilac[all] and dependencies before trying to install the local image. This allows us
25
+ # to get cache hits on dependency installations when using a local wheel. When using the public pip
26
+ # package, the second call will be a no-op.
27
+ RUN python -m pip install lilac[all]
28
+
29
+ # Install from the local wheel inside ./dist. This will be a no-op if the wheel is not found.
30
+ COPY --chown=user /dist ./dist/
31
+ RUN python -m pip install --find-links=dist --upgrade lilac[all]
32
+
33
+ # Install the huggingface hub, used to download files.
34
+ RUN pip install huggingface_hub
35
+
36
+ # Copy the README so we can read the datasets from the HuggingFace config.
37
+ COPY --chown=user README.md .
38
+ # Copy the license just in case.
39
+ COPY --chown=user LICENSE .
40
+
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+ COPY --chown=user docker_start.sh ./
42
+
43
+ # Make a local data directory for non-persistent storage demos.
44
+ RUN mkdir -p ./data
45
+ RUN chown -R user ./data
46
+
47
+ EXPOSE 5432
48
+ CMD ["bash", "docker_start.sh"]
LICENSE ADDED
@@ -0,0 +1,201 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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README.md CHANGED
@@ -1,10 +1,78 @@
1
  ---
2
- title: GAIR Lima
3
- emoji: 🐠
4
- colorFrom: indigo
5
- colorTo: yellow
6
  sdk: docker
7
- pinned: false
8
- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9
 
10
- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
1
  ---
2
+ title: Lilac
3
+ emoji: "\U0001F337"
4
+ colorFrom: purple
5
+ colorTo: purple
6
  sdk: docker
7
+ app_port: 5432
8
+ datasets:
9
+ - lilacai/GAIR-lima-local-glue
10
+ - lilacai/GAIR-lima-local-glue_ax
11
+ - lilacai/GAIR-lima-local-imdb3
12
+ - lilacai/GAIR-lima-local-imdb
13
+ - lilacai/GAIR-lima-local-imdb2
14
+ - lilacai/GAIR-lima-lilac-OpenOrca-100k
15
+ - lilacai/GAIR-lima-local-the_movies_dataset
16
+ - lilacai/GAIR-lima-lilac-mmlu_professional_law
17
+ - lilacai/GAIR-lima-local-deepset-prompt-inj
18
+ - lilacai/GAIR-lima-local-jasper-prompt-inj
19
+ - lilacai/GAIR-lima-local-mosaic-chat-v2
20
+ - lilacai/GAIR-lima-local-databricks-dolly-15k-curated-en
21
+ - lilacai/GAIR-lima-local-open-asssistant-conversations
22
+ - lilacai/GAIR-lima-local-enron-emails
23
+ - lilacai/GAIR-lima-local-OpenOrca
24
+ - lilacai/GAIR-lima-local-langsmith-finetuning-rag
25
+ - lilacai/GAIR-lima-local-textbook_quality_programming
26
+ - lilacai/GAIR-lima-local-lilac-github
27
+ - lilacai/GAIR-lima-local-noc-book-github
28
+ - lilacai/GAIR-lima-local-pydantic-docs
29
+ - lilacai/GAIR-lima-local-pydantic-github
30
+ - lilacai/GAIR-lima-local-arxiv-karpathy
31
+ - lilacai/GAIR-lima-local-fertility-onedoc
32
+ - lilacai/GAIR-lima-local-fertility-lines
33
+ - lilacai/GAIR-lima-local-OpenOrca-1M
34
+ - lilacai/GAIR-lima-local-stingning-ultrachat
35
+ - lilacai/GAIR-lima-local-glue_ax_map
36
+ - lilacai/GAIR-lima-local-glue_ax_map_2
37
+ - lilacai/GAIR-lima-local-stanford-alpaca
38
+ - lilacai/GAIR-lima-local-imdb4
39
+ - lilacai/GAIR-lima-local-imdb5
40
+ - lilacai/GAIR-lima-local-imdb6
41
+ - lilacai/GAIR-lima-local-imdb7
42
+ - lilacai/GAIR-lima-local-imdb8
43
+ - lilacai/GAIR-lima-local-OpenHermes-2.5-100k
44
+ - lilacai/GAIR-lima-local-OpenHermes-2.5
45
+ - lilacai/GAIR-lima-local-alpaca
46
+ - lilacai/GAIR-lima-local-ableton
47
+ - lilacai/GAIR-lima-local-glaive
48
+ - lilacai/GAIR-lima-local-OpenOrca-10k
49
+ - lilacai/GAIR-lima-local-OpenHermes-2.5-10k
50
+ - lilacai/GAIR-lima-local-glue_ax2
51
+ - lilacai/GAIR-lima-local-SlimOrca-10k
52
+ - lilacai/GAIR-lima-local-glue_ax_test
53
+ - lilacai/GAIR-lima-local-glue2
54
+ - lilacai/GAIR-lima-local-openchat_sft
55
+ - lilacai/GAIR-lima-local-one_openchat
56
+ - lilacai/GAIR-lima-local-all-help-channels
57
+ - lilacai/GAIR-lima-local-imdb_test
58
+ - lilacai/GAIR-lima-local-imdb10
59
+ - lilacai/GAIR-lima-local-imdb11
60
+ - lilacai/GAIR-lima-local-imdb12
61
+ - lilacai/GAIR-lima-local-imdb13
62
+ - lilacai/GAIR-lima-local-imdb14
63
+ - lilacai/GAIR-lima-local-mmlu
64
+ - lilacai/GAIR-lima-local-imdb15
65
+ - lilacai/GAIR-lima-local-slim-orca-100k
66
+ - lilacai/GAIR-lima-local-tsv
67
+ - lilacai/GAIR-lima-local-oh-2.5
68
+ - lilacai/GAIR-lima-local-cpb
69
+ - lilacai/GAIR-lima-local-Capybara
70
+ - lilacai/GAIR-lima-local-OpenHermes-2.5-clusters
71
+ - lilacai/GAIR-lima-local-test-imdb
72
+ - lilacai/GAIR-lima-local-kyle-ufos
73
+ - lilacai/GAIR-lima-local-load_embedding
74
+ - lilacai/GAIR-lima-local-glaive-function-calling-v2
75
+ - lilacai/GAIR-lima-local-ll-glaive-function-calling-v2-sharegpt
76
+ - lilacai/GAIR-lima-local-GAIR-lima
77
 
78
+ ---
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+ },
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+ "ab4f851dfba94c40a4c71def4c6095fa": {
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+ "label": false,
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+ "text": "Part #4: Input sentence cannot have two languages at a time\nUsage: \"I love gå på promenader.\" This sentence does not meet the criterion because it mixes English (\"I love\") and Swedish (\"gå på promenader\") words together, while the task requires the input sentence to be in one language only.",
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+ "id": "ab4f851dfba94c40a4c71def4c6095fa"
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+ },
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+ "035580033a4e4d2b8dfc2081f1d1a77f": {
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+ "label": false,
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+ "text": "The Eagles were behind by 14 points at the end of the first quarter. The Lions had taken a lead with two touchdowns by Theo Riddick which accumulated 14 points (7 points each, generally in American Football - 6 points for the touchdown and 1 point for the extra point conversion) and the Eagles had not yet scored any points. Thus, the difference in score between the two teams, i.e., the points by",
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+ "id": "035580033a4e4d2b8dfc2081f1d1a77f"
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+ },
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+ "5ddc10e19efc4759910e6563f3269748": {
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+ "label": true,
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+ "text": "As an AI language model, I do not have the capability to make phone calls or provide spoken directions. Additionally, I am unable to provide context or conversation history as I do not have access to your previous interactions.",
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+ "id": "5ddc10e19efc4759910e6563f3269748"
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+ },
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+ "7b6183436dc24598b7d12f9dd1557a6a": {
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+ "label": true,
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+ "text": "Note: As I am an AI language model and only provide information and guidelines in simple steps, I cannot perform the translation myself. However, I can provide you with steps on how to perform the task.",
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+ "id": "7b6183436dc24598b7d12f9dd1557a6a"
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+ },
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+ "91c70b07ce3f46cc8603347faaabccf0": {
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+ "label": false,
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+ "text": "Next, I need to have a good understanding of Igbo language vocabulary to properly translate the English words into their corresponding Igbo words.",
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+ "id": "91c70b07ce3f46cc8603347faaabccf0"
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+ },
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+ "ddaf310ff0674cf1815e73dbbdd2e115": {
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+ "label": false,
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+ "text": "contextual responses, and interact with users efficiently. I do not have a specific individual, nor a group of people, who transcribe text for me; it is all done through machine learning and artificial intelligence.",
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+ "id": "ddaf310ff0674cf1815e73dbbdd2e115"
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+ },
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+ "986c7fe8119345cfbef1b1cde84c5685": {
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+ "label": false,
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+ "text": "Note: As I am not capable to translate into Gujarati, I am unable to provide the output for this task.",
99
+ "id": "986c7fe8119345cfbef1b1cde84c5685"
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+ },
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+ "b2a9fe2b0bbf4f418bcd71d1d934dad6": {
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+ "label": true,
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+ "text": "As an AI language model, I do not experience the concept of being busy. My purpose is to assist and respond to user inquiries promptly and efficiently. If you have any questions or require assistance, feel free to ask, and I will gladly help you.",
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+ "id": "b2a9fe2b0bbf4f418bcd71d1d934dad6"
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+ },
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+ "04c1e222755842c98d471de6aab25678": {
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+ "label": false,
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+ "text": "The translated sentence in Spanish is: \"Soy un asistente de inteligencia artificial.\"\n\nI have chosen Spanish and created a sentence with the message \"I am an AI assistant\" in that language. The translation is accurate and the meaning of the sentence remains consistent with the intended message.",
109
+ "id": "04c1e222755842c98d471de6aab25678"
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+ },
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+ "1f3a417e5336406586f868967f1d61f1": {
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+ "label": true,
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+ "text": "As an AI language model, I am not able to browse the internet and provide real-time information. However, if you provide me with the necessary context or background about Vicente Henriques, I will be happy to help to the best of my capabilities.",
114
+ "id": "1f3a417e5336406586f868967f1d61f1"
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+ }
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+ },
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+ "version": 19,
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+ "metadata": {
119
+ "description": "Text where a language model references itself, e.g. \"As a language model...\""
120
+ }
121
+ }
data/lilac.yml ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:73ae72add199bc423671827a5c133a120a9cd7615f473a91ce24a796bed6f879
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+ size 14385563
dist/README.md ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ This directory is used for locally built whl files.
2
+ We write a README.md to ensure an empty folder is uploaded when there is no whl.
dist/lilac-1337.0.0-py3-none-any.whl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:14ca21e37e249ac3c5839206a5623968487af3c3108693b148c07b1eb56f3132
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+ size 2480441
docker_start.sh ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/bin/bash
2
+
3
+ # Fail if any of the commands below fail.
4
+ set -e
5
+
6
+ lilac hf-docker-start
7
+ gunicorn lilac.server:app \
8
+ --bind 0.0.0.0:5432 \
9
+ --preload -k uvicorn.workers.UvicornWorker \
10
+ --timeout 120