[Minor] Fix link to the repo #166
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hongxiayang
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Feb 13, 2024
yukavio
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Jul 3, 2024
Using the OpenAI backend of lm-eval (`model="local-completions"`) this
creates a pytest that spins up a vLLM OpenAi server for various models
(Llama, Mistral, Phi 2, Mixtral) and runs gsm8k evals against the server
to compare with known accuracy values. This should be a good test for
making sure accuracies aren't affected for fp16, sparse, and marlin
models as we make releases or upstream syncs. For now, we will leave
this as a manually triggered workflow.
These are the models and evals set up for this PR:
```python
# Each entry in this dictionary holds a model id as the key and an
# EvalDefinition as a value. The EvalDefinition holds a list of Tasks
# to evaluate the models on, each with their own pre-recorded Metrics
MODEL_TEST_POINTS = [
# Llama 2 7B: FP16, FP16 sparse, marlin
("NousResearch/Llama-2-7b-chat-hf",
EvalDefinition(tasks=[
Task("gsm8k",
metrics=[
Metric("exact_match,strict-match", 0.2266868840030326),
Metric("exact_match,flexible-extract", 0.22820318423047764)
])
])),
("neuralmagic/Llama-2-7b-pruned50-retrained-ultrachat",
EvalDefinition(tasks=[
Task("gsm8k",
metrics=[
Metric("exact_match,strict-match", 0.09855951478392722),
Metric("exact_match,flexible-extract", 0.10083396512509477)
])
],
extra_args=["--sparsity", "sparse_w16a16"])),
("neuralmagic/llama-2-7b-chat-marlin",
EvalDefinition(tasks=[
Task("gsm8k",
metrics=[
Metric("exact_match,strict-match", 0.14101592115238817),
Metric("exact_match,flexible-extract", 0.1652767247915087)
])
],
enable_tensor_parallel=False)),
# Mistral 7B: FP16, FP16 sparse, marlin
("teknium/OpenHermes-2.5-Mistral-7B",
EvalDefinition(tasks=[
Task("gsm8k",
metrics=[
Metric("exact_match,strict-match", 0.6004548900682335),
Metric("exact_match,flexible-extract", 0.6482183472327521)
])
])),
("neuralmagic/OpenHermes-2.5-Mistral-7B-pruned50",
EvalDefinition(tasks=[
Task("gsm8k",
metrics=[
Metric("exact_match,strict-match", 0.4935557240333586),
Metric("exact_match,flexible-extract", 0.5269143290371494)
])
],
extra_args=["--sparsity", "sparse_w16a16"])),
("neuralmagic/OpenHermes-2.5-Mistral-7B-marlin",
EvalDefinition(tasks=[
Task("gsm8k",
metrics=[
Metric("exact_match,strict-match", 0.4935557240333586),
Metric("exact_match,flexible-extract", 0.5868081880212282)
])
],
enable_tensor_parallel=False)),
# Phi 2: marlin
("neuralmagic/phi-2-super-marlin",
EvalDefinition(tasks=[
Task("gsm8k",
metrics=[
Metric("exact_match,strict-match", 0.49962092494313876),
Metric("exact_match,flexible-extract", 0.5041698256254739)
])
],
enable_tensor_parallel=False)),
# Mixtral: FP16
("mistralai/Mixtral-8x7B-Instruct-v0.1",
EvalDefinition(tasks=[
Task("gsm8k",
metrics=[
Metric("exact_match,strict-match", 0.6550416982562547),
Metric("exact_match,flexible-extract", 0.6603487490523123)
])
],
enable_tensor_parallel=True)),
]
```
mht-sharma
pushed a commit
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Oct 30, 2024
…-project#166) * Miscellaneous changes, Dockerfile components update, remove Cython * Restore Dockerfile and Cython for now
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