Add mcli yaml version bump (#1674)

Co-authored-by: Chuck Tang <[email protected]>

mcli/mcli-1b-eval.yaml

@@ -1,15 +1,15 @@
 integrations:
 - integration_type: git_repo
   git_repo: mosaicml/llm-foundry
-  git_branch: v0.14.0
+  git_branch: v0.15.0
   # git_commit: # OR use your commit hash
   pip_install: .[gpu]
   ssh_clone: false  # Should be true if using a private repo
 
 command: |
   cd llm-foundry/scripts/
   composer eval/eval.py /mnt/config/parameters.yaml
-image: mosaicml/llm-foundry:2.4.0_cu124-latest
+image: mosaicml/llm-foundry:2.5.1_cu124-latest
 name: mpt-1b-eval
 
 compute:

mcli/mcli-1b-max-seq-len-8k.yaml

@@ -1,7 +1,7 @@
 integrations:
 - integration_type: git_repo
   git_repo: mosaicml/llm-foundry
-  git_branch: v0.14.0
+  git_branch: v0.15.0
   # git_commit:  # OR use your commit hash
   pip_install: .[gpu]
   ssh_clone: false  # Should be true if using a private repo
@@ -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:2.4.0_cu124-latest
+image: mosaicml/llm-foundry:2.5.1_cu124-latest
 name: mpt-1b-ctx-8k-gpus-8
 
 compute:

mcli/mcli-1b.yaml

@@ -1,7 +1,7 @@
 integrations:
 - integration_type: git_repo
   git_repo: mosaicml/llm-foundry
-  git_branch: v0.14.0
+  git_branch: v0.15.0
   # git_commit:  # OR use your commit hash
   pip_install: .[gpu]
   ssh_clone: false  # Should be true if using a private repo
@@ -21,7 +21,7 @@ command: |
     eval_loader.dataset.split=val_small \
     max_duration=100ba \
     eval_interval=0
-image: mosaicml/llm-foundry:2.4.0_cu124-latest
+image: mosaicml/llm-foundry:2.5.1_cu124-latest
 name: mpt-1b-gpus-8
 
 compute:

mcli/mcli-benchmark-mpt.yaml

@@ -6,12 +6,12 @@ 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:2.4.0_cu124-latest
+image: mosaicml/llm-foundry:2.5.1_cu124-latest
 
 integrations:
 - integration_type: git_repo
   git_repo: mosaicml/llm-foundry
-  git_branch: v0.14.0
+  git_branch: v0.15.0
   # git_commit: # OR use your commit hash
   pip_install: .[gpu]
 

mcli/mcli-convert-composer-to-hf.yaml

@@ -1,7 +1,7 @@
 integrations:
 - integration_type: git_repo
   git_repo: mosaicml/llm-foundry
-  git_branch: v0.14.0
+  git_branch: v0.15.0
   # git_commit:  # OR use your commit hash
   pip_install: .
   ssh_clone: false  # Should be true if using a private repo
@@ -13,7 +13,7 @@ command: |
     --hf_output_path s3://bucket/folder/hf/ \
     --output_precision bf16 \
 
-image: mosaicml/llm-foundry:2.4.0_cu124-latest
+image: mosaicml/llm-foundry:2.5.1_cu124-latest
 name: convert-composer-hf
 
 compute:

mcli/mcli-hf-eval.yaml

@@ -1,7 +1,7 @@
 integrations:
 - integration_type: git_repo
   git_repo: mosaicml/llm-foundry
-  git_branch: v0.14.0
+  git_branch: v0.15.0
   # git_commit:  # OR use your commit hash
   pip_install: .[gpu]
   ssh_clone: false  # Should be true if using a private repo
@@ -16,7 +16,7 @@ gpu_num: 8
 # gpu_type:
 # cluster:  # replace with your cluster here!
 
-image: mosaicml/llm-foundry:2.4.0_cu124-latest
+image: mosaicml/llm-foundry:2.5.1_cu124-latest
 
 # The below is injected as a YAML file: /mnt/config/parameters.yaml
 parameters:

mcli/mcli-hf-generate.yaml

@@ -1,7 +1,7 @@
 integrations:
 - integration_type: git_repo
   git_repo: mosaicml/llm-foundry
-  git_branch: v0.14.0
+  git_branch: v0.15.0
   # git_commit: # OR use your commit hash
   pip_install: .[gpu]
   ssh_clone: false  # Should be true if using a private repo
@@ -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:2.4.0_cu124-latest
+image: mosaicml/llm-foundry:2.5.1_cu124-latest
 name: hf-generate
 
 compute:

mcli/mcli-llama2-finetune.yaml

@@ -1,15 +1,15 @@
 integrations:
 - integration_type: git_repo
   git_repo: mosaicml/llm-foundry
-  git_branch: v0.14.0
+  git_branch: v0.15.0
   # git_commit: # OR use your commit hash
   pip_install: .[gpu]
   ssh_clone: false  # Should be true if using a private repo
 
 command: |
   cd llm-foundry/scripts
   composer train/train.py /mnt/config/parameters.yaml
-image: mosaicml/llm-foundry:2.4.0_cu124-latest
+image: mosaicml/llm-foundry:2.5.1_cu124-latest
 name: llama2-finetune
 
 compute:

mcli/mcli-openai-eval.yaml

@@ -1,7 +1,7 @@
 integrations:
 - integration_type: git_repo
   git_repo: mosaicml/llm-foundry
-  git_branch: v0.14.0
+  git_branch: v0.15.0
   # git_commit:  # OR use your commit hash
   pip_install: .[gpu,openai]
   ssh_clone: false  # Should be true if using a private repo
@@ -16,7 +16,7 @@ gpu_num:  #
 gpu_type:  #
 cluster:  # replace with your cluster here!
 
-image: mosaicml/llm-foundry:2.4.0_cu124-latest
+image: mosaicml/llm-foundry:2.5.1_cu124-latest
 
 # The below is injected as a YAML file: /mnt/config/parameters.yaml
 parameters:

mcli/mcli-pretokenize-oci-upload.yaml

@@ -1,5 +1,5 @@
 name: c4-2k-pre-tokenized
-image: mosaicml/llm-foundry:2.4.0_cu124-latest
+image: mosaicml/llm-foundry:2.5.1_cu124-latest
 compute:
   gpus: 8  # Number of GPUs to use
 
@@ -14,7 +14,7 @@ integrations:
   - oci-cli==3.23.2
 - integration_type: git_repo
   git_repo: mosaicml/llm-foundry
-  git_branch: v0.14.0
+  git_branch: v0.15.0
   # git_commit: # OR use your commit hash
   pip_install: .
   ssh_clone: false  # Should be true if using a private repo