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30 | 30 | # COMMAND ---------- |
31 | 31 |
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32 | 32 | # MAGIC %md |
33 | | -# MAGIC Install these additional NVIDIA libraries for Databricks Runtime 12.2 ML: |
| 33 | +# MAGIC Install these additional NVIDIA libraries for Databricks Runtime 13.x+ ML: |
34 | 34 |
|
35 | 35 | # COMMAND ---------- |
36 | 36 |
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37 | | -!wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/libcusparse-dev-11-3_11.5.0.58-1_amd64.deb -O /tmp/libcusparse-dev-11-3_11.5.0.58-1_amd64.deb && \ |
38 | | - wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/libcublas-dev-11-3_11.5.1.109-1_amd64.deb -O /tmp/libcublas-dev-11-3_11.5.1.109-1_amd64.deb && \ |
39 | | - wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/libcusolver-dev-11-3_11.1.2.109-1_amd64.deb -O /tmp/libcusolver-dev-11-3_11.1.2.109-1_amd64.deb && \ |
40 | | - wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/libcurand-dev-11-3_10.2.4.109-1_amd64.deb -O /tmp/libcurand-dev-11-3_10.2.4.109-1_amd64.deb && \ |
41 | | - dpkg -i /tmp/libcusparse-dev-11-3_11.5.0.58-1_amd64.deb && \ |
42 | | - dpkg -i /tmp/libcublas-dev-11-3_11.5.1.109-1_amd64.deb && \ |
43 | | - dpkg -i /tmp/libcusolver-dev-11-3_11.1.2.109-1_amd64.deb && \ |
44 | | - dpkg -i /tmp/libcurand-dev-11-3_10.2.4.109-1_amd64.deb |
45 | | - |
46 | | -# COMMAND ---------- |
47 | | - |
48 | | -# MAGIC %md |
49 | | -# MAGIC Install these additional NVIDIA libraries for Databricks Runtime 13.0 ML (uncomment first): |
50 | | - |
51 | | -# COMMAND ---------- |
52 | | - |
53 | | -#!wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/libcusparse-dev-11-7_11.7.3.50-1_amd64.deb -O /tmp/libcusparse-dev-11-7_11.7.3.50-1_amd64.deb && \ |
54 | | -# wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/libcublas-dev-11-7_11.10.1.25-1_amd64.deb -O /tmp/libcublas-dev-11-7_11.10.1.25-1_amd64.deb && \ |
55 | | -# wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/libcusolver-dev-11-7_11.4.0.1-1_amd64.deb -O /tmp/libcusolver-dev-11-7_11.4.0.1-1_amd64.deb && \ |
56 | | -# wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/libcurand-dev-11-7_10.2.10.91-1_amd64.deb -O /tmp/libcurand-dev-11-7_10.2.10.91-1_amd64.deb && \ |
57 | | -# dpkg -i /tmp/libcusparse-dev-11-7_11.7.3.50-1_amd64.deb && \ |
58 | | -# dpkg -i /tmp/libcublas-dev-11-7_11.10.1.25-1_amd64.deb && \ |
59 | | -# dpkg -i /tmp/libcusolver-dev-11-7_11.4.0.1-1_amd64.deb && \ |
60 | | -# dpkg -i /tmp/libcurand-dev-11-7_10.2.10.91-1_amd64.deb |
| 37 | +# MAGIC !wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/libcusparse-dev-11-7_11.7.3.50-1_amd64.deb -O /tmp/libcusparse-dev-11-7_11.7.3.50-1_amd64.deb && \ |
| 38 | +# MAGIC wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/libcublas-dev-11-7_11.10.1.25-1_amd64.deb -O /tmp/libcublas-dev-11-7_11.10.1.25-1_amd64.deb && \ |
| 39 | +# MAGIC wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/libcusolver-dev-11-7_11.4.0.1-1_amd64.deb -O /tmp/libcusolver-dev-11-7_11.4.0.1-1_amd64.deb && \ |
| 40 | +# MAGIC wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/libcurand-dev-11-7_10.2.10.91-1_amd64.deb -O /tmp/libcurand-dev-11-7_10.2.10.91-1_amd64.deb && \ |
| 41 | +# MAGIC dpkg -i /tmp/libcusparse-dev-11-7_11.7.3.50-1_amd64.deb && \ |
| 42 | +# MAGIC dpkg -i /tmp/libcublas-dev-11-7_11.10.1.25-1_amd64.deb && \ |
| 43 | +# MAGIC dpkg -i /tmp/libcusolver-dev-11-7_11.4.0.1-1_amd64.deb && \ |
| 44 | +# MAGIC dpkg -i /tmp/libcurand-dev-11-7_10.2.10.91-1_amd64.deb |
61 | 45 |
|
62 | 46 | # COMMAND ---------- |
63 | 47 |
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95 | 79 |
|
96 | 80 | # COMMAND ---------- |
97 | 81 |
|
98 | | -# Cache data and tokenizer locally before creating a bunch of deepspeed processes and make sure they succeeds. |
99 | | -load_training_dataset() |
100 | | -load_tokenizer() |
101 | | - |
102 | | -# COMMAND ---------- |
103 | | - |
104 | 82 | timestamp = datetime.now().strftime("%Y-%m-%dT%H:%M:%S") |
105 | 83 | model_name = "dolly" |
106 | 84 |
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