"vscode:/vscode.git/clone" did not exist on "96e06e3cb73f933bf26ff74599fd96d38c50805c"
Commit e7c1b7f3 authored by zhuwenwen's avatar zhuwenwen
Browse files

Merge branch 'v0.5.4-dtk24.04.1'

parents 7462218e 04c62b93
import os
import zipfile
MAX_SIZE_MB = 200
MAX_SIZE_MB = 250
def print_top_10_largest_files(zip_file):
......
#!/bin/bash
set -ex
set -o pipefail
(which wget && which curl) || (apt-get update && apt-get install -y wget curl)
# aws s3 sync s3://air-example-data-2/vllm_opensource_llava/ images/
mkdir -p images
cd images
wget https://air-example-data-2.s3.us-west-2.amazonaws.com/vllm_opensource_llava/stop_sign_pixel_values.pt
wget https://air-example-data-2.s3.us-west-2.amazonaws.com/vllm_opensource_llava/stop_sign_image_features.pt
wget https://air-example-data-2.s3.us-west-2.amazonaws.com/vllm_opensource_llava/cherry_blossom_pixel_values.pt
wget https://air-example-data-2.s3.us-west-2.amazonaws.com/vllm_opensource_llava/cherry_blossom_image_features.pt
wget https://air-example-data-2.s3.us-west-2.amazonaws.com/vllm_opensource_llava/stop_sign.jpg
wget https://air-example-data-2.s3.us-west-2.amazonaws.com/vllm_opensource_llava/cherry_blossom.jpg
cd -
# bash ./run-lm-eval-gsm-vllm-baseline.sh -m deepseek-ai/DeepSeek-V2-Lite-Chat -b "auto" -l 1000 -f 5 -t 2
model_name: "deepseek-ai/DeepSeek-V2-Lite-Chat"
tasks:
- name: "gsm8k"
metrics:
- name: "exact_match,strict-match"
value: 0.671
- name: "exact_match,flexible-extract"
value: 0.664
limit: 1000
num_fewshot: 5
# bash .buildkite/lm-eval-harness/run-lm-eval-gsm-hf-baseline.sh -m nm-testing/Meta-Llama-3-70B-Instruct-FBGEMM-nonuniform -b auto -l 1000 -f 5
model_name: "nm-testing/Meta-Llama-3-70B-Instruct-FBGEMM-nonuniform"
tasks:
- name: "gsm8k"
metrics:
- name: "exact_match,strict-match"
value: 0.905
- name: "exact_match,flexible-extract"
value: 0.905
limit: 1000
num_fewshot: 5
# bash .buildkite/lm-eval-harness/run-lm-eval-gsm-hf-baseline.sh -m meta-llama/Meta-Llama-3-70B-Instruct -b 32 -l 250 -f 5
model_name: "meta-llama/Meta-Llama-3-70B-Instruct"
tasks:
- name: "gsm8k"
metrics:
- name: "exact_match,strict-match"
value: 0.892
- name: "exact_match,flexible-extract"
value: 0.892
limit: 250
num_fewshot: 5
# bash .buildkite/lm-eval-harness/run-lm-eval-gsm-vllm-baseline.sh -m nm-testing/Meta-Llama-3-8B-Instruct-W8A8-FP8-Channelwise-compressed-tensors -b auto -l 1000 -f 5 -t 1
model_name: "nm-testing/Meta-Llama-3-8B-Instruct-W8A8-FP8-Channelwise-compressed-tensors"
tasks:
- name: "gsm8k"
metrics:
- name: "exact_match,strict-match"
value: 0.752
- name: "exact_match,flexible-extract"
value: 0.754
limit: 1000
num_fewshot: 5
# bash .buildkite/lm-eval-harness/run-lm-eval-gsm-vllm-baseline.sh -m nm-testing/Meta-Llama-3-8B-Instruct-FBGEMM-nonuniform -b auto -l 1000 -f 5 -t 1
model_name: "nm-testing/Meta-Llama-3-8B-Instruct-FBGEMM-nonuniform"
tasks:
- name: "gsm8k"
metrics:
- name: "exact_match,strict-match"
value: 0.753
- name: "exact_match,flexible-extract"
value: 0.753
limit: 1000
num_fewshot: 5
# bash .buildkite/lm-eval-harness/run-lm-eval-gsm-vllm-baseline.sh -m nm-testing/Meta-Llama-3-8B-FP8-compressed-tensors-test -b 32 -l 1000 -f 5 -t 1
model_name: "nm-testing/Meta-Llama-3-8B-FP8-compressed-tensors-test"
tasks:
- name: "gsm8k"
metrics:
- name: "exact_match,strict-match"
value: 0.755
- name: "exact_match,flexible-extract"
value: 0.755
limit: 1000
num_fewshot: 5
# bash .buildkite/lm-eval-harness/run-lm-eval-gsm-vllm-baseline.sh -m neuralmagic/Meta-Llama-3-8B-Instruct-FP8 -b 32 -l 250 -f 5 -t 1
model_name: "neuralmagic/Meta-Llama-3-8B-Instruct-FP8"
tasks:
- name: "gsm8k"
metrics:
- name: "exact_match,strict-match"
value: 0.753
- name: "exact_match,flexible-extract"
value: 0.753
limit: 1000
num_fewshot: 5
# bash .buildkite/lm-eval-harness/run-lm-eval-gsm-vllm-baseline.sh -m nm-testing/Meta-Llama-3-8B-Instruct-W8-Channel-A8-Dynamic-Per-Token-Test -b "auto" -l 250 -f 5 -t 1
model_name: "nm-testing/Meta-Llama-3-8B-Instruct-W8-Channel-A8-Dynamic-Per-Token-Test"
tasks:
- name: "gsm8k"
metrics:
- name: "exact_match,strict-match"
value: 0.728
- name: "exact_match,flexible-extract"
value: 0.728
limit: 250
num_fewshot: 5
# bash .buildkite/lm-eval-harness/run-lm-eval-gsm-vllm-baseline.sh -m nm-testing/Meta-Llama-3-8B-Instruct-nonuniform-test -b auto -l 1000 -f 5 -t 1
model_name: "nm-testing/Meta-Llama-3-8B-Instruct-nonuniform-test"
tasks:
- name: "gsm8k"
metrics:
- name: "exact_match,strict-match"
value: 0.758
- name: "exact_match,flexible-extract"
value: 0.759
limit: 1000
num_fewshot: 5
# bash .buildkite/lm-eval-harness/run-lm-eval-gsm-hf-baseline.sh -m meta-llama/Meta-Llama-3-8B-Instruct -b 32 -l 250 -f 5 -t 1
model_name: "meta-llama/Meta-Llama-3-8B-Instruct"
tasks:
- name: "gsm8k"
metrics:
- name: "exact_match,strict-match"
value: 0.756
- name: "exact_match,flexible-extract"
value: 0.752
limit: 250
num_fewshot: 5
# bash .buildkite/lm-eval-harness/run-lm-eval-gsm-vllm-baseline.sh -m HandH1998/QQQ-Llama-3-8b-g128 -b 32 -l 1000 -f 5 -t 1
model_name: "HandH1998/QQQ-Llama-3-8b-g128"
tasks:
- name: "gsm8k"
metrics:
- name: "exact_match,strict-match"
value: 0.409
- name: "exact_match,flexible-extract"
value: 0.406
limit: 1000
num_fewshot: 5
# bash .buildkite/lm-eval-harness/run-lm-eval-gsm-vllm-baseline.sh -m nvidia/Minitron-4B-Base -b auto -l 1000 -f 5 -t 1
model_name: "nvidia/Minitron-4B-Base"
tasks:
- name: "gsm8k"
metrics:
- name: "exact_match,strict-match"
value: 0.252
- name: "exact_match,flexible-extract"
value: 0.252
limit: 1000
num_fewshot: 5
# bash ./run-lm-eval-gsm-vllm-baseline.sh -m neuralmagic/Mixtral-8x22B-Instruct-v0.1-FP8-dynamic -b "auto" -l 250 -f 5 -t 8
model_name: "neuralmagic/Mixtral-8x22B-Instruct-v0.1-FP8-dynamic"
tasks:
- name: "gsm8k"
metrics:
- name: "exact_match,strict-match"
value: 0.86
- name: "exact_match,flexible-extract"
value: 0.86
limit: 250
num_fewshot: 5
# bash ./run-lm-eval-gsm-vllm-baseline.sh -m neuralmagic/Mixtral-8x7B-Instruct-v0.1-FP8 -b "auto" -l 250 -f 5 -t 4
model_name: "neuralmagic/Mixtral-8x7B-Instruct-v0.1-FP8"
tasks:
- name: "gsm8k"
metrics:
- name: "exact_match,strict-match"
value: 0.624
- name: "exact_match,flexible-extract"
value: 0.624
limit: 250
num_fewshot: 5
# bash .buildkite/lm-eval-harness/run-lm-eval-gsm-hf-baseline.sh -m neuralmagic/Mixtral-8x7B-Instruct-v0.1 -b 32 -l 250 -f 5 -t 4
model_name: "mistralai/Mixtral-8x7B-Instruct-v0.1"
tasks:
- name: "gsm8k"
metrics:
- name: "exact_match,strict-match"
value: 0.616
- name: "exact_match,flexible-extract"
value: 0.632
limit: 250
num_fewshot: 5
# bash .buildkite/lm-eval-harness/run-lm-eval-gsm-vllm-baseline.sh -m nm-testing/Qwen2-1.5B-Instruct-FP8W8 -b auto -l 1000 -f 5 -t 1
model_name: "nm-testing/Qwen2-1.5B-Instruct-FP8W8"
tasks:
- name: "gsm8k"
metrics:
- name: "exact_match,strict-match"
value: 0.578
- name: "exact_match,flexible-extract"
value: 0.585
limit: 1000
num_fewshot: 5
# bash .buildkite/lm-eval-harness/run-lm-eval-gsm-vllm-baseline.sh -m neuralmagic/Qwen2-1.5B-Instruct-quantized.w8a8 -b "auto" -l 1000 -f 5 -t 1
model_name: "neuralmagic/Qwen2-1.5B-Instruct-quantized.w8a8"
tasks:
- name: "gsm8k"
metrics:
- name: "exact_match,strict-match"
value: 0.593
- name: "exact_match,flexible-extract"
value: 0.588
limit: 1000
num_fewshot: 5
# bash .buildkite/lm-eval-harness/run-lm-eval-gsm-vllm-baseline.sh -m nm-testing/Qwen2-1.5B-Instruct-W8A16-Channelwise -b "auto" -l 1000 -f 5 -t 1
model_name: "nm-testing/Qwen2-1.5B-Instruct-W8A16-Channelwise"
tasks:
- name: "gsm8k"
metrics:
- name: "exact_match,strict-match"
value: 0.595
- name: "exact_match,flexible-extract"
value: 0.582
limit: 1000
num_fewshot: 5
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment