Text Generation
Transformers
Safetensors
OpenPeerLLM
English
Arabic
riemann_openpeer
amd
ntk
code
fsdp
rocm
coding
mi325x
decoder
code gen
directml
openpeer
ryzen-ai
reasoning
rewriting
multimodal
paraphrase
prerelease
ntk-trainer
growth-ladder
style-transfer
text-rewriting
riemann-computing
progressive-growth
custom_code
Eval Results (legacy)
Instructions to use OpenPeerAI/My-Name-is-Riemann-Prerelease with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenPeerAI/My-Name-is-Riemann-Prerelease with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="OpenPeerAI/My-Name-is-Riemann-Prerelease", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("OpenPeerAI/My-Name-is-Riemann-Prerelease", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use OpenPeerAI/My-Name-is-Riemann-Prerelease with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "OpenPeerAI/My-Name-is-Riemann-Prerelease" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "OpenPeerAI/My-Name-is-Riemann-Prerelease", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/OpenPeerAI/My-Name-is-Riemann-Prerelease
- SGLang
How to use OpenPeerAI/My-Name-is-Riemann-Prerelease with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "OpenPeerAI/My-Name-is-Riemann-Prerelease" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "OpenPeerAI/My-Name-is-Riemann-Prerelease", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "OpenPeerAI/My-Name-is-Riemann-Prerelease" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "OpenPeerAI/My-Name-is-Riemann-Prerelease", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use OpenPeerAI/My-Name-is-Riemann-Prerelease with Docker Model Runner:
docker model run hf.co/OpenPeerAI/My-Name-is-Riemann-Prerelease
Download training/cloud/launch_node.ps1 from OpenPeerAI/My-Name-is-Riemann-Prerelease: direct link, hf CLI and curl.
- Browser
- Download file 3.18 kB
-
https://huggingface.co/OpenPeerAI/My-Name-is-Riemann-Prerelease/resolve/main/training/cloud/launch_node.ps1
- Command line
-
hf download hf://OpenPeerAI/My-Name-is-Riemann-Prerelease/training/cloud/launch_node.ps1
-
curl -L -o launch_node.ps1 https://huggingface.co/OpenPeerAI/My-Name-is-Riemann-Prerelease/resolve/main/training/cloud/launch_node.ps1
3.18 kB
| param( | |
| [string]$Region = "nyc2", | |
| [string]$Size = "gpu-mi325x8-2048gb", | |
| [string]$Image = "gpu-amd-base", | |
| [string]$Name = "riemann-node", | |
| [Parameter(Mandatory = $true)][string]$SshKeyName, | |
| [Parameter(Mandatory = $true)][string]$StagingRepo, | |
| [switch]$StopAfterStage2 | |
| ) | |
| $ErrorActionPreference = "Stop" | |
| $proj = Split-Path -Parent $PSScriptRoot | |
| $sessionFiles = "$env:RIEMANN_ROOT\cloud_state" | |
| New-Item -ItemType Directory -Force -Path $sessionFiles | Out-Null | |
| $existing = doctl compute droplet list --format ID,Name,PublicIPv4,Status --no-header | Where-Object { $_ -match "\b$Name\b" } | |
| if ($existing) { | |
| Write-Host "Droplet already exists: $existing" | |
| $ip = ($existing -split '\s+')[2] | |
| } else { | |
| $keyId = (doctl compute ssh-key list --format ID,Name --no-header | Where-Object { $_ -match $SshKeyName } | ForEach-Object { ($_ -split '\s+')[0] }) | |
| if (-not $keyId) { throw "SSH key '$SshKeyName' not found on the account" } | |
| Write-Host "Creating $Size in $Region with image $Image ..." | |
| doctl compute droplet create $Name --region $Region --size $Size --image $Image --ssh-keys $keyId --wait --format ID,Name,PublicIPv4,Status | Out-Host | |
| $ip = (doctl compute droplet list --format Name,PublicIPv4 --no-header | Where-Object { $_ -match "\b$Name\b" } | ForEach-Object { ($_ -split '\s+')[1] }) | |
| } | |
| Write-Host "Droplet IP: $ip" | |
| Set-Content -Path "$sessionFiles\node_ip.txt" -Value $ip | |
| Write-Host "Waiting for SSH ..." | |
| $deadline = (Get-Date).AddMinutes(10) | |
| do { | |
| $ok = $false | |
| try { ssh -o StrictHostKeyChecking=accept-new -o ConnectTimeout=8 -o BatchMode=yes root@$ip "echo ready" 2>$null | Select-String ready | ForEach-Object { $ok = $true } } catch {} | |
| if (-not $ok) { Start-Sleep 10 } | |
| } while (-not $ok -and (Get-Date) -lt $deadline) | |
| if (-not $ok) { throw "SSH not reachable after 10 minutes" } | |
| Write-Host "Packaging project ..." | |
| $bundle = "$env:TEMP\riemann_bundle.tar.gz" | |
| Push-Location $proj | |
| tar -czf $bundle riemann scripts configs cloud requirements-cuda.txt LICENSE | |
| Pop-Location | |
| Write-Host "Shipping code and HF token ..." | |
| ssh root@$ip "mkdir -p /workspace/riemann ~/.cache/huggingface" | |
| scp -q $bundle root@${ip}:/workspace/riemann_bundle.tar.gz | |
| scp -q "$env:USERPROFILE\.cache\huggingface\token" root@${ip}:~/.cache/huggingface/token | |
| ssh root@$ip "cd /workspace/riemann && tar -xzf /workspace/riemann_bundle.tar.gz && sed -i 's/\r$//' cloud/*.sh cloud/*.py && chmod +x cloud/bootstrap.sh && chmod 600 ~/.cache/huggingface/token && ls" | |
| $stopFlag = if ($StopAfterStage2) { "STOP_AFTER_STAGE2=1" } else { "STOP_AFTER_STAGE2=0" } | |
| Write-Host "Starting bootstrap under nohup ($stopFlag) ..." | |
| ssh root@$ip "cd /workspace/riemann && mkdir -p /workspace/RiemannModel/logs && STAGING_REPO=$StagingRepo $stopFlag nohup bash cloud/bootstrap.sh > /workspace/RiemannModel/logs/bootstrap.log 2>&1 &" | |
| Start-Sleep 5 | |
| ssh root@$ip "tail -5 /workspace/RiemannModel/logs/bootstrap.log" | |
| Write-Host "" | |
| Write-Host "Launched. Follow with: ssh root@$ip tail -f /workspace/RiemannModel/logs/bootstrap.log" | |
| Write-Host "Destroy with: doctl compute droplet delete $Name --force" | |