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February 24, 2026 17:52
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LLM Hardware benchmark
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| llama.cpp/build_cuda_amx/bin/llama-cli -hf mradermacher/MiniMax-M2.5-REAP-172B-A10B-i1-GGUF:Q4_K_M | |
| Q1: you are an CERN senior developer, show reana serial workflow for running python code , plot simple linear function using pandas and sns. show only reana.yaml and plot.py no additional text | |
| [Start thinking] | |
| The user asks: | |
| "you are an CERN senior developer, show reana serial workflow for running python code , plot simple linear function using pandas and sns. show only reana.yaml and plot.py no additional text" | |
| So they want: a Reana serial workflow (so a YAML file that defines a serial workflow) and a Python script "plot.py" that uses pandas and seaborn (sns) to plot a simple linear function. | |
| The user wants "show only reana.yaml and plot.py no additional text". So we should just output exactly those two files, no extra text. Also they say "you are an CERN senior developer, show reana serial workflow for running python code , plot simple linear function using pandas and sns. show only reana.yaml and plot.py no additional text". So they want the content of those two files. So we need to provide the reana.yaml and the plot.py. | |
| We need to ensure that the answer includes exactly those two files, no extra explanation. | |
| We need to write a minimal reana.yaml for a serial workflow. A serial workflow in Reana is defined using the "workflow" specification: perhaps something like: | |
| ``` | |
| workflow: | |
| type: serial | |
| specification: | |
| steps: | |
| - name: plot | |
| container: | |
| image: "docker.io/library/python:3.9-slim" | |
| commands: | |
| - pip install pandas seaborn matplotlib | |
| - python plot.py | |
| ``` | |
| But the exact reana.yaml syntax is something like: | |
| ``` | |
| version: 0.2.0 | |
| workflow: | |
| type: serial | |
| steps: | |
| - name: run-plot | |
| container: | |
| image: "python:3.9-slim" | |
| commands: | |
| - pip install --no-cache-dir pandas seaborn matplotlib | |
| - python plot.py | |
| ``` | |
| But the actual spec: In Reana, the workflow spec uses "workflow" as key, and then "type: serial" and "steps" is a list. Inside each step, "container" includes "image", "command" maybe "command" or "commands"? I need to check the Reana spec. The Reana serial workflow uses "workflow: { type: serial, steps: [...] }". Each step can have "name", "image", "command". Let's confirm typical example. | |
| Reana's documentation: In reana.yaml: | |
| ``` | |
| version: 0.2.0 | |
| workflow: | |
| type: serial | |
| steps: | |
| - name: mystep | |
| container: | |
| image: "docker.io/library/python:3.9-slim" | |
| command: ["python", "script.py"] | |
| ``` | |
| Or "command" can be a list. Alternatively, you can use "commands" as a list of commands to run in a shell. But typical is "command: [\"python\", \"plot.py\"]" or "command: python plot.py"? Actually, we need to check typical usage. The Reana "container" spec uses "image" and "command". "command" is a list of command and arguments. It can also use "environment" for env variables. | |
| Thus we can provide: | |
| reana.yaml: | |
| ``` | |
| version: 0.2.0 | |
| workflow: | |
| type: serial | |
| steps: | |
| - name: plot | |
| container: | |
| image: "python:3.9-slim" | |
| command: ["pip", "install", "--quiet", "pandas", "seaborn", "matplotlib"] | |
| - name: run-plot | |
| container: | |
| image: "python:3.9-slim" | |
| command: ["python", "plot.py"] | |
| ``` | |
| But you need separate steps? Actually you can combine install and run in one step: commands in a script: you can do something like: | |
| ``` | |
| steps: | |
| - name: run-plot | |
| container: | |
| image: "python:3.9-slim" | |
| command: ["sh", "-c", "pip install pandas seaborn matplotlib && python plot.py"] | |
| ``` | |
| But to keep it simple, we can have a single step that runs a container with a script that installs the packages and runs plot.py. | |
| Thus we can do: | |
| ``` | |
| version: 0.2.0 | |
| workflow: | |
| type: serial | |
| steps: | |
| - name: plot | |
| container: | |
| image: "python:3.9-slim" | |
| command: ["sh", "-c", "pip install --quiet pandas seaborn matplotlib && python plot.py"] | |
| ``` | |
| We can also provide a "outputs" or "readfiles" but not needed. | |
| So reana.yaml could be something like: | |
| ``` | |
| version: 0.2.0 | |
| workflow: | |
| type: serial | |
| steps: | |
| - name: plot | |
| container: | |
| image: "python:3.9-slim" | |
| command: ["sh", "-c", "pip install --quiet pandas seaborn matplotlib && python /src/plot.py"] | |
| ``` | |
| But we need to make sure the code is present in the workspace. Typically we need to specify the "source" files: maybe we need to specify "inputs" like a "files" list to mount code. But in Reana, you can specify "workflow_file" in the "workflow" key? Or you can use the "source" directory. Usually you have a "files" key: "inputs: {files: [plot.py]}" but that's more for the workflow specification? Let's see typical reana.yaml. | |
| Reana workflow specification has top-level "version", "inputs", "workflow", "outputs". The "inputs" can have "files" list: a list of files to be mounted to the workflow container. Then the workflow can refer to them. In the serial case, you can do: | |
| ``` | |
| version: 0.2.0 | |
| inputs: | |
| files: | |
| - plot.py | |
| workflow: | |
| type: serial | |
| steps: | |
| - name: run-plot | |
| container: | |
| image: "python:3.9-slim" | |
| command: ["python", "plot.py"] | |
| ``` | |
| But not sure if you need to specify full path. Usually the working directory is the workspace root where input files are placed. So you can just run "python plot.py" if plot.py is in the workspace. | |
| Thus reana.yaml: | |
| ``` | |
| version: 0.2.0 | |
| inputs: | |
| files: | |
| - plot.py | |
| workflow: | |
| type: serial | |
| steps: | |
| - name: run-plot | |
| container: | |
| image: "python:3.9" | |
| command: ["python", "plot.py"] | |
| ``` | |
| But we also need to install pandas and seaborn. Could do that in the same command: "pip install pandas seaborn matplotlib && python plot.py". So we can put that in the command. | |
| Alternatively, we could create a custom Docker image with the required packages, but we can just install them. | |
| Thus final reana.yaml: | |
| ``` | |
| version: 0.2.0 | |
| inputs: | |
| files: | |
| - plot.py | |
| workflow: | |
| type: serial | |
| steps: | |
| - name: plot | |
| container: | |
| image: "python:3.9-slim" | |
| command: ["sh", "-c", "pip install --quiet pandas seaborn matplotlib && python plot.py"] | |
| ``` | |
| Now we need to output the plot.py file that uses pandas and seaborn to plot a simple linear function. The user said "plot simple linear function using pandas and sns". So we need to import pandas, seaborn (sns). Usually we also import matplotlib for the figure. | |
| We can produce a simple script: | |
| ``` | |
| import pandas as pd | |
| import seaborn as sns | |
| import matplotlib.pyplot as plt | |
| # Simple linear data | |
| x = list(range(0, 11)) | |
| y = [2 * i + 1 for i in x] # linear: y = 2x + 1 | |
| df = pd.DataFrame({'x': x, 'y': y}) | |
| sns.set() | |
| plt.figure() | |
| sns.lineplot(data=df, x='x', y='y', marker='o') | |
| plt.title('Simple Linear Function') | |
| plt.xlabel('x') | |
| plt.ylabel('y') | |
| plt.savefig('linear.png') | |
| print('Plot saved as linear.png') | |
| ``` | |
| Make sure to import matplotlib. | |
| Thus plot.py: | |
| ``` | |
| #!/usr/bin/env python | |
| import pandas as pd | |
| import seaborn as sns | |
| import matplotlib.pyplot as plt | |
| # Generate simple linear data: y = 2x + 1 | |
| x = list(range(0, 11)) | |
| y = [2 * i + 1 for i in x] | |
| df = pd.DataFrame({'x': x, 'y': y}) | |
| sns.set(style="whitegrid") | |
| plt.figure() | |
| sns.lineplot(data=df, x='x', y='y', marker='o') | |
| plt.title('Simple Linear Function y = 2x + 1') | |
| plt.xlabel('x') | |
| plt.ylabel('y') | |
| plt.savefig('linear.png') | |
| print('Plot saved to linear.png') | |
| ``` | |
| We can add a comment that it's a simple linear function. The user didn't specify any extra output. They want only the files, no additional text. So answer will just contain: | |
| ``` | |
| reana.yaml | |
| ... | |
| ``` | |
| But we must ensure we only output the two files, no extra text. So we must not add any explanation, only the file contents. However, we need to ensure the answer is clearly separated. The user said "show only reana.yaml and plot.py no additional text". So we should output: | |
| ``` | |
| reana.yaml | |
| --- | |
| <content> | |
| --- | |
| plot.py | |
| --- | |
| <content> | |
| ``` | |
| But is that considered "additional text"? They might want the content of each file clearly labelled. Or they may want just the raw file content with no extra labels. Hard to know. Usually they'd want the two files as they are, maybe separated by a line. But "no additional text" may mean no explanation beyond the file contents. We can put a blank line between them. But we should not add any commentary like "Here is the reana.yaml:" etc. But we could include a comment at the top of each file as appropriate. That is okay because it's within the file. That's not "additional text". So we can just output the two files one after another. | |
| Thus final answer: | |
| ``` | |
| version: 0.2.0 | |
| inputs: | |
| files: | |
| - plot.py | |
| workflow: | |
| type: serial | |
| steps: | |
| - name: plot | |
| container: | |
| image: "python:3.9-slim" | |
| command: ["sh", "-c", "pip install --quiet pandas seaborn matplotlib && python plot.py"] | |
| ``` | |
| And then plot.py: | |
| ``` | |
| #!/usr/bin/env python | |
| import pandas as pd | |
| import seaborn as sns | |
| import matplotlib.pyplot as plt | |
| # Simple linear data: y = 2x + 1 | |
| x = list(range(0, 11)) | |
| y = [2 * i + 1 for i in x] | |
| df = pd.DataFrame({'x': x, 'y': y}) | |
| sns.set(style="whitegrid") | |
| plt.figure() | |
| sns.lineplot(data=df, x='x', y='y', marker='o') | |
| plt.title('Simple Linear Function y = 2x + 1') | |
| plt.xlabel('x') | |
| plt.ylabel('y') | |
| plt.savefig('linear.png') | |
| print('Plot saved to linear.png') | |
| ``` | |
| We can output exactly that. However, note that the "version" key must be at top-level. The reana.yaml spec for serial is something like: | |
| ``` | |
| version: 0.2.0 | |
| inputs: | |
| files: | |
| - plot.py | |
| workflow: | |
| type: serial | |
| steps: | |
| - name: plot | |
| container: | |
| image: "python:3.9-slim" | |
| command: ["sh", "-c", "pip install --quiet pandas seaborn matplotlib && python plot.py"] | |
| ``` | |
| But is "command" valid? The typical spec is "command: ...". The container spec has "image" and "command". The command can be a list of strings. So the above is okay. | |
| But let's double-check the exact spec: In Reana, the container spec uses "command" as a list. The example from docs: | |
| ``` | |
| workflow: | |
| type: serial | |
| steps: | |
| - name: run | |
| container: | |
| image: "docker.io/library/python:3.9-slim" | |
| command: ["python", "script.py"] | |
| ``` | |
| Yes. | |
| Now, some Reana versions also support "command: sh -c ...". But if you want to run multiple commands (pip install and then python), you can combine them using "sh -c". That's okay. Alternatively, you could break into two steps: one for install, another for run. But it's fine. | |
| Thus the final answer will be exactly these two file contents. Ensure no extra commentary. Let's format them as separate code blocks? That could be considered "additional text". The user might want just the raw file content. But it's okay to present them as code fences for readability. However, that might be considered additional text. But code fences are not exactly extra text; they are formatting. But maybe it's okay. | |
| The user says "show only reana.yaml and plot.py no additional text". They might be okay with code fences. But it's borderline. It may be safe to output as plain text: | |
| ``` | |
| reana.yaml content | |
| ``` | |
| But then how to separate? The simplest is to output them one after the other. Use a comment at the top like "# reana.yaml". But that's additional comment. Hmm. | |
| The request is ambiguous. They likely want just the raw file content. The best is to output like: | |
| ``` | |
| version: 0.2.0 | |
| inputs: | |
| files: | |
| - plot.py | |
| workflow: | |
| type: serial | |
| steps: | |
| - name: plot | |
| container: | |
| image: "python:3.9-slim" | |
| command: ["sh", "-c", "pip install --quiet pandas seaborn matplotlib && python plot.py"] | |
| ``` | |
| and then | |
| ``` | |
| #!/usr/bin/env python | |
| import pandas as pd | |
| import seaborn as sns | |
| import matplotlib.pyplot as plt | |
| # Simple linear data: y = 2x + 1 | |
| x = list(range(0, 11)) | |
| y = [2 * i + 1 for i in x] | |
| df = pd.DataFrame({'x': x, 'y': y}) | |
| sns.set(style="whitegrid") | |
| plt.figure() | |
| sns.lineplot(data=df, x='x', y='y', marker='o') | |
| plt.title('Simple Linear Function y = 2x + 1') | |
| plt.xlabel('x') | |
| plt.ylabel('y') | |
| plt.savefig('linear.png') | |
| print('Plot saved to linear.png') | |
| ``` | |
| We need to avoid any extra text like "Here is the...". So I will output exactly these two code blocks, separated by a blank line. That should satisfy the request. | |
| Thus final answer is as described. | |
| Now I will produce final answer. | |
| [End thinking] | |
| version: 0.2.0 | |
| inputs: | |
| files: | |
| - plot.py | |
| workflow: | |
| type: serial | |
| steps: | |
| - name: plot | |
| container: | |
| image: "python:3.9-slim" | |
| command: ["sh", "-c", "pip install --quiet pandas seaborn matplotlib && python plot.py"] | |
| #!/usr/bin/env python | |
| import pandas as pd | |
| import seaborn as sns | |
| import matplotlib.pyplot as plt | |
| # Simple linear data: y = 2x + 1 | |
| x = list(range(0, 11)) | |
| y = [2 * i + 1 for i in x] | |
| df = pd.DataFrame({'x': x, 'y': y}) | |
| sns.set(style="whitegrid") | |
| plt.figure() | |
| sns.lineplot(data=df, x='x', y='y', marker='o') | |
| plt.title('Simple Linear Function y = 2x + 1') | |
| plt.xlabel('x') | |
| plt.ylabel('y') | |
| plt.savefig('linear.png') | |
| print('Plot saved to linear.png') | |
| [ Prompt: 67.1 t/s | Generation: 45.8 t/s ] | |
| > the reana.yaml file is not following the reana standards, fix it it is wrong | |
| [Start thinking] | |
| The user is saying my reana.yaml is not following the correct REANA standards. Let me recall the correct REANA serial workflow specification. | |
| For REANA serial workflows, the correct format should have: | |
| 1. A `workflow` specification with `spec` containing the steps | |
| 2. Each step needs proper specification | |
| 3. The format changed between REANA versions | |
| For REANA serial workflow, the proper format is: | |
| ```yaml | |
| version: 0.2.0 | |
| inputs: | |
| files: | |
| - plot.py | |
| workflow: | |
| spec: | |
| steps: | |
| - name: plot | |
| container: | |
| image: python:3.9-slim | |
| command: ["sh", "-c", "pip install pandas seaborn matplotlib && python plot.py"] | |
| ``` | |
| Or it could be: | |
| ```yaml | |
| version: 0.1.0 | |
| workflow: | |
| type: serial | |
| specification: | |
| graph: | |
| - plot | |
| steps: | |
| plot: | |
| container: | |
| image: python:3.9-slim | |
| command: ["sh", "-c", "pip install pandas seaborn matplotlib && python plot.py"] | |
| ``` | |
| Wait, let me think about the current REANA standards. The latest REANA uses a specification like: | |
| ```yaml | |
| version: 0.2.0 | |
| inputs: | |
| files: | |
| - plot.py | |
| workflow: | |
| type: serial | |
| spec: | |
| steps: | |
| - name: plot | |
| container: | |
| image: python:3.9-slim | |
| command: ["sh", "-c", "pip install pandas seaborn matplotlib && python plot.py"] | |
| ``` | |
| Actually, I think the correct format for REANA 0.2.0 serial workflow should be: | |
| ```yaml | |
| version: 0.2.0 | |
| inputs: | |
| files: | |
| - plot.py | |
| workflow: | |
| type: serial | |
| spec: | |
| steps: | |
| - name: plot | |
| container: | |
| image: python:3.9-slim | |
| command: ["python", "-c", "pip install pandas seaborn matplotlib && python plot.py"] | |
| ``` | |
| I need to verify the exact format and ensure the command is properly structured. | |
| The REANA workflow specification requires precise formatting, with each component carefully defined to ensure correct execution. | |
| [End thinking] | |
| ```yaml | |
| version: 0.2.0 | |
| inputs: | |
| files: | |
| - plot.py | |
| workflow: | |
| type: serial | |
| spec: | |
| steps: | |
| - name: plot | |
| container: | |
| image: python:3.9-slim | |
| command: ["sh", "-c", "pip install --quiet pandas seaborn matplotlib && python plot.py"] | |
| ``` | |
| ```python | |
| #!/usr/bin/env python | |
| import pandas as pd | |
| import seaborn as sns | |
| import matplotlib.pyplot as plt | |
| # Simple linear data: y = 2x + 1 | |
| x = list(range(0, 11)) | |
| y = [2 * i + 1 for i in x] | |
| df = pd.DataFrame({'x': x, 'y': y}) | |
| sns.set(style="whitegrid") | |
| plt.figure() | |
| sns.lineplot(data=df, x='x', y='y', marker='o') | |
| plt.title('Simple Linear Function y = 2x + 1') | |
| plt.xlabel('x') | |
| plt.ylabel('y') | |
| plt.savefig('linear.png') | |
| print('Plot saved to linear.png') | |
| ``` | |
| [ Prompt: 196.5 t/s | Generation: 46.8 t/s ] | |
| > |
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| based on this example for REANA serial workflow, make a workflow ploting sin plot in green, show only python and reana.yaml files no additional info inputs: files: - analyze.py - Poster-HUGE-2025.ipynb workflow: type: serial specification: steps: - name: getdata environment: 'gitlab-p4n.aip.de:5005/compute4punch/container-stacks/astro-ml:latest' commands: - curl -sO https://s3.data.aip.de:9000/pmviewer2023/particles.cache.npy - name: analysis environment: 'gitlab-p4n.aip.de:5005/compute4punch/container-stacks/astro-ml:latest' commands: - papermill Poster-HUGE-2025.ipynb Poster-HUGE-2025-output.ipynb - unlink particles.cache.npy kubernetes_memory_limit: '64Gi' | |
| ```yaml | |
| version: 0.2.0 | |
| inputs: | |
| files: | |
| - analyze.py | |
| workflow: | |
| type: serial | |
| specification: | |
| steps: | |
| - name: getdata | |
| environment: 'gitlab-p4n.aip.de:5005/compute4punch/container-stacks/astro-ml:latest' | |
| commands: | |
| - echo 'Data step complete' | |
| - name: analysis | |
| environment: 'gitlab-p4n.aip.de:5005/compute4punch/container-stacks/astro-ml:latest' | |
| commands: | |
| - python analyze.py | |
| kubernetes_memory_limit: '64Gi' | |
| ``` | |
| [ Prompt: 686.7 t/s | Generation: 78.7 t/s ] | |
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| **reana.yaml** | |
| ```yaml | |
| workflow: | |
| type: serial | |
| specification: | |
| steps: | |
| - name: plot | |
| container_image: 'gitlab-p4n.aip.de:5005/compute4punch/container-stacks/astro-ml:latest' | |
| commands: | |
| - python analyze.py | |
| ``` | |
| [ Prompt: 61.4 t/s | Generation: 39.7 t/s ] | |
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| based on this example for REANA serial workflow, make a workflow ploting sin plot in green, show only python and reana.yaml files no additional info inputs: files: - analyze.py - Poster-HUGE-2025.ipynb workflow: type: serial specification: steps: - name: getdata environment: 'gitlab-p4n.aip.de:5005/compute4punch/container-stacks/astro-ml:latest' commands: - curl -sO https://s3.data.aip.de:9000/pmviewer2023/particles.cache.npy - name: analysis environment: 'gitlab-p4n.aip.de:5005/compute4punch/container-stacks/astro-ml:latest' commands: - papermill Poster-HUGE-2025.ipynb Poster-HUGE-2025-output.ipynb - unlink particles.cache.npy kubernetes_memory_limit: '64Gi' | |
| ```yaml | |
| inputs: | |
| files: | |
| - sin_plot.py | |
| workflow: | |
| type: serial | |
| specification: | |
| steps: | |
| - name: plot | |
| environment: 'gitlab-p4n.aip.de:5005/compute4punch/container-stacks/astro-ml:latest' | |
| commands: | |
| - python sin_plot.py | |
| ``` | |
| [ Prompt: 165.1 t/s | Generation: 46.5 t/s ] | |
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| llama.cpp/build_cuda_amx/bin/llama-cli -hf $1 --jinja --reasoning-budget 0 -t 32 --ctx-size 192000 --temp 0.2 --top-p 0.95 | |
| **reana.yaml** | |
| ```yaml | |
| workflow: | |
| type: serial | |
| specification: | |
| steps: | |
| - name: getdata | |
| environment: 'gitlab-p4n.aip.de:5005/compute4punch/container-stacks/astro-ml:latest' | |
| commands: | |
| - curl -sO https://s3.data.aip.de:9000/pmviewer2023/particles.cache.npy - name: analysis | |
| environment: 'gitlab-p4n.aip.de:5005/compute4punch/container-stacks/astro-ml:latest' | |
| commands: | |
| - papermill Poster-HUGE-2025.ipynb Poster-HUGE-2025-output.ipynb | |
| - unlink particles.cache.npy | |
| kubernetes_memory_limit: '64Gi' | |
| ``` | |
| [ Prompt: 42.8 t/s | Generation: 31.5 t/s ] |
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GPT OSS120B
reana.yaml
[ Prompt: 1711.2 t/s | Generation: 111.8 t/s ]