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Change the test llama model to 'HuggingFaceM4/tiny-random-LlamaForCausalLM' #2325

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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
cadence: "commit"
test_type: "sanity"
model: "Xenova/llama2.c-stories15M"
model: "HuggingFaceM4/tiny-random-LlamaForCausalLM"
dataset: open_platypus
first_recipe: "tests/sparseml/transformers/obcq/recipes/quant_and_sparse.yaml"
second_recipe: "tests/sparseml/transformers/obcq/recipes/additional_sparsity.yaml"
second_recipe: "tests/sparseml/transformers/obcq/recipes/additional_sparsity.yaml"
Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
cadence: "commit"
test_type: "sanity"
model: "Xenova/llama2.c-stories15M"
model: "HuggingFaceM4/tiny-random-LlamaForCausalLM"
dataset: open_platypus
first_recipe: |
first_stage:
Expand All @@ -22,4 +22,4 @@ second_recipe: |
- LlamaRotaryEmbedding
- LlamaRMSNorm
- SiLU
- Embedding
- Embedding
2 changes: 1 addition & 1 deletion tests/sparseml/transformers/obcq/test_consecutive_runs.py
Original file line number Diff line number Diff line change
Expand Up @@ -114,7 +114,7 @@ def setUp(self):
self.output_second = Path(self.output) / "test_2"

def test_consecutive_runs_small(self):
self._test_consecutive_runs(tolerance=1e-3)
self._test_consecutive_runs(tolerance=1e-1)
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per meeting - if the actual issue is the expected sparsity in the config is wrong - that should be updated



@requires_gpu
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