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dakinggg committed Feb 16, 2024
1 parent 3cc3ab6 commit 78d91eb
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Showing 10 changed files with 10 additions and 10 deletions.
2 changes: 1 addition & 1 deletion mcli/mcli-1b-eval.yaml
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Expand Up @@ -9,7 +9,7 @@ integrations:
command: |
cd llm-foundry/scripts/
composer eval/eval.py /mnt/config/parameters.yaml
image: mosaicml/pytorch:1.13.1_cu117-python3.10-ubuntu20.04
image: mosaicml/llm-foundry:2.1.0_cu121_flash2-latest
name: mpt-1b-eval

compute:
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2 changes: 1 addition & 1 deletion mcli/mcli-1b-max-seq-len-8k.yaml
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Expand Up @@ -17,7 +17,7 @@ command: |
--out_root ./my-copy-c4 --splits train_small val_small \
--concat_tokens 8192 --tokenizer EleutherAI/gpt-neox-20b --eos_text '<|endoftext|>'
composer train/train.py /mnt/config/parameters.yaml
image: mosaicml/llm-foundry:2.2.0_cu121_flash2-latest
image: mosaicml/llm-foundry:2.1.0_cu121_flash2-latest
name: mpt-1b-ctx-8k-gpus-8

compute:
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2 changes: 1 addition & 1 deletion mcli/mcli-1b.yaml
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Expand Up @@ -21,7 +21,7 @@ command: |
eval_loader.dataset.split=val_small \
max_duration=100ba \
eval_interval=0
image: mosaicml/llm-foundry:2.2.0_cu121_flash2-latest
image: mosaicml/llm-foundry:2.1.0_cu121_flash2-latest
name: mpt-1b-gpus-8

compute:
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2 changes: 1 addition & 1 deletion mcli/mcli-benchmark-mpt.yaml
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Expand Up @@ -6,7 +6,7 @@ compute:
# cluster: TODO # Name of the cluster to use for this run
# gpu_type: a100_80gb # Type of GPU to use. We use a100_80gb in our experiments

image: mosaicml/llm-foundry:2.2.0_cu121_flash2-latest
image: mosaicml/llm-foundry:2.1.0_cu121_flash2-latest

integrations:
- integration_type: git_repo
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2 changes: 1 addition & 1 deletion mcli/mcli-convert-composer-to-hf.yaml
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Expand Up @@ -13,7 +13,7 @@ command: |
--hf_output_path s3://bucket/folder/hf/ \
--output_precision bf16 \
image: mosaicml/llm-foundry:2.2.0_cu121_flash2-latest
image: mosaicml/llm-foundry:2.1.0_cu121_flash2-latest
name: convert-composer-hf

compute:
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2 changes: 1 addition & 1 deletion mcli/mcli-hf-eval.yaml
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Expand Up @@ -16,7 +16,7 @@ gpu_num: 8
# gpu_type:
# cluster: # replace with your cluster here!

image: mosaicml/llm-foundry:2.2.0_cu121_flash2-latest
image: mosaicml/llm-foundry:2.1.0_cu121_flash2-latest

# The below is injected as a YAML file: /mnt/config/parameters.yaml
parameters:
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2 changes: 1 addition & 1 deletion mcli/mcli-hf-generate.yaml
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Expand Up @@ -35,7 +35,7 @@ command: |
"Here's a quick recipe for baking chocolate chip cookies: Start by" \
"The best 5 cities to visit in Europe are"
image: mosaicml/llm-foundry:2.2.0_cu121_flash2-latest
image: mosaicml/llm-foundry:2.1.0_cu121_flash2-latest
name: hf-generate

compute:
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2 changes: 1 addition & 1 deletion mcli/mcli-llama2-finetune.yaml
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Expand Up @@ -9,7 +9,7 @@ integrations:
command: |
cd llm-foundry/scripts
composer train/train.py /mnt/config/parameters.yaml
image: mosaicml/llm-foundry:2.2.0_cu121_flash2-latest
image: mosaicml/llm-foundry:2.1.0_cu121_flash2-latest
name: llama2-finetune

compute:
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2 changes: 1 addition & 1 deletion mcli/mcli-openai-eval.yaml
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Expand Up @@ -16,7 +16,7 @@ gpu_num: #
gpu_type: #
cluster: # replace with your cluster here!

image: mosaicml/llm-foundry:2.2.0_cu121_flash2-latest
image: mosaicml/llm-foundry:2.1.0_cu121_flash2-latest

# The below is injected as a YAML file: /mnt/config/parameters.yaml
parameters:
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2 changes: 1 addition & 1 deletion mcli/mcli-pretokenize-oci-upload.yaml
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@@ -1,5 +1,5 @@
name: c4-2k-pre-tokenized
image: mosaicml/llm-foundry:2.2.0_cu121_flash2-latest
image: mosaicml/llm-foundry:2.1.0_cu121_flash2-latest
compute:
gpus: 8 # Number of GPUs to use

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