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new release for sagemaker torch version fix
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aarora79 committed Oct 28, 2024
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5 changes: 3 additions & 2 deletions README.md
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Expand Up @@ -86,6 +86,9 @@ Llama3 is now available on SageMaker (read [blog post](https://aws.amazon.com/bl

## New in this release

## 2.0.16
1. Update to torch 2.4 for compatibility with SageMaker Notebooks.

## 2.0.15
1. Support for [Ollama](https://github.com/ollama/ollama), see more details [here](https://aws-samples.github.io/foundation-model-benchmarking-tool/benchmarking_on_ec2.html#benchmarking-models-on-ollama).
1. Fix bugs with token counting.
Expand All @@ -95,9 +98,7 @@ Llama3 is now available on SageMaker (read [blog post](https://aws.amazon.com/bl
1. `Llama3.1-70b` config files and more.
1. Support for [`fmbench-orchestrator`](https://github.com/awslabs/fmbench-orchestrator).

## 2.0.13

1. Update `pricing.yml` additional config files.


[Release history](./release_history.md)
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3 changes: 3 additions & 0 deletions docs/releases.md
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# Releases

## 2.0.16
1. Update to torch 2.4 for compatibility with SageMaker Notebooks.

## 2.0.15
1. Support for [Ollama](https://github.com/ollama/ollama), see more details [here](https://aws-samples.github.io/foundation-model-benchmarking-tool/benchmarking_on_ec2.html#benchmarking-models-on-ollama).
1. Fix bugs with token counting.
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2 changes: 1 addition & 1 deletion pyproject.toml
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[tool.poetry]
name = "fmbench"
version = "2.0.15"
version = "2.0.16"
description ="Benchmark performance of **any Foundation Model (FM)** deployed on **any AWS Generative AI service**, be it **Amazon SageMaker**, **Amazon Bedrock**, **Amazon EKS**, or **Amazon EC2**. The FMs could be deployed on these platforms either directly through `FMbench`, or, if they are already deployed then also they could be benchmarked through the **Bring your own endpoint** mode supported by `FMBench`."
authors = ["Amit Arora <[email protected]>", "Madhur Prashant <[email protected]>"]
readme = "README.md"
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6 changes: 6 additions & 0 deletions release_history.md
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## 2.0.13

1. Update `pricing.yml` additional config files.


## 2.0.11

1. `Llama3.2-1b` and `Llama3.2-3b` support on EC2 g5.
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2 changes: 2 additions & 0 deletions src/fmbench/configs/pricing.yml
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Expand Up @@ -2,6 +2,8 @@ pricing:
instance_based:
# Instance Based Pricing: SageMaker, EKS, Bedrock Provisioned Throughput, Bring your own endpoints that are priced hourly
# SageMaker Hourly Instance Pricing
ml.c5.xlarge: 0.1700
ml.c5.4xlarge: 0.6800
ml.m5.xlarge: 0.23
ml.g5.xlarge: 1.4084
ml.g5.4xlarge: 2.03
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