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= Build environment =
= Topics =


== Ubuntu ==
{| class="wikitable"
! 🤖 Agent / Framework　 || 🧠 Model　 || 🚀 Engine　 || ⚙️ GPU & Driver　|| 📊 Evaluation
|-
| style="width:200px;vertical-align:top" |
: [[LM/Codex|Codex]]
: [[LM/AnythingLLM|AnythingLLM]]
: [[LM/jrswab_axe|axe]]
: [[LM/MCP|MCP]]
: [[LM/Software Development|Software Development]]
| style="width:200px;vertical-align:top" |
: [[LM/hf|hf (Model Management)]]
: [[LM/Qwen 4 27B|Qwen 4 27B]] 🐣
: [[LM/Qwen 3.8 27B|Qwen 3.8 27B]] ⭐
: [[LM/Flint 40B|Flint 40B]] 🐣
: [[LM/Gemma 4|Gemma 4]]
: [[LM/Bonsai 2 27B|Bonsai 2 27B]]
: [[LM/Ornith 1.5 35B A3B|Ornith 1.5 35B A3B]]
: [[LM/Experience|Experience]]
| style="width:200px;vertical-align:top" |
: [[LM/vLLM|vLLM]] ⭐
: [[LM/SGLang|SGLang]] 🐣
: [[LM/llama-swap|llama-swap]]
: [[LM/ComfyUI|ComfyUI]]
: [[LM/llama.cpp for SYCL|llama.cpp for SYCL]]
: [[LM/llama.cpp for CUDA|llama.cpp for CUDA]]
: [[LM/Inference Engine Comparison|Comparison]]
| style="width:200px;vertical-align:top" |
: Intel Arc Pro B70
:: [[LM/Install driver|Install driver]]
:: [[LM/Install oneAPI|Install oneAPI (SYCL)]]
:: [[LM/Install OpenVINO|Install OpenVINO]]
:: [[LM/.bashrc for B70|.bashrc for B70]]
:: [[LM/Intel Pro Arc B70|Experiment]]
: NVIDIA RTX 3060
:: [[LM/Install NVIDIA driver|Install driver]]
: AMD Ryzen AI 7 350
:: [[LM/Ryzen AI 7 350|Experiment]]
: Tools
:: [[LM/Install nvtop|Install nvtop]]
:: [[LM/PCIe Trouble Shooting|PCIe Trouble Shooting]]
: Comparison
:: [[LM/GPU Comparison]]
| style="width:200px;vertical-align:top" |
: [[LM/Performance|Performance]]
|}


* [[LLM/Intel Pro Arc B70]]
= News =
* [[LLM/Nvidia RTX 3060]]
* [[LLM/Ryzen AI 7 350]] (XDNA)


== Agents ==
* [https://huggingface.co/datasets/ScaleAI/SWE-bench_Pro?leaderboard_max_params=32B SWE Pro Benchmark for models < 32B]
* [https://storage.openvinotoolkit.org/repositories/openvino/packages/2026.3/linux/ OpenVINO 2026.3 supports Ubuntu 26] - 2026-08-04


* [[LLM/jrswab_axe]]
= Models management =


== Test Experiences ==
<quickmmd name="models-handling-infra" dump-env="true">
flowchart TD
  A(LiteLLM 2)
  B(vLLM<br>Qwen 3.8 27B)
  C1(Intel Arc Pro B70)
  C2(Intel Arc Pro B70)


* [[LLM/Agent can do and cannot do]]
  A --> |Forward| B
  B --> |Tensor Parallelism| C1 & C2
  %% C1 --- |XCCL| C2
</quickmmd>


== Wishlist ==
* llama-swap can launch model, cannot manage users.
* LiteLLM cannot launch model, can manage users.


* [[LLM/Coding]]
= Investigating vLLM on Intel Arc Pro B70 =
 
<quickmmd name="tinkering-b70-vllm">
flowchart TD
  subgraph Hardware
    A1(Intel Arc Pro B70):::node-okay
    A2(Asus ProArt B850 WiFi NEO):::node-okay
    A3(AMD Ryzen 5 9600X):::node-okay
  end
 
  subgraph OS
    B1(Install<br>Ubuntu 26.04):::node-okay
    A1 & A2 & A3 --> B1
  end
 
  subgraph Driver
    C1(Install PPA driver<br>26.27.39122.14):::node-okay
    B1 --> C1
  end
 
  subgraph Tools
    T1(Install<br>pipx)
    T2(Install<br>hf)
    T3(Install<br>nvtop)
    T4(Install<br>tmux)
    T5(Install<br>docker)
    T1 --> T2
    B1 --> T1
    B1 --> T3
    B1 --> T4
    B1 --> T5
  end
 
  subgraph Models
    M1(Qwen3.8-27B)
    T2 --> M1
  end
 
  subgraph Config
    V1(Optimize<br>.bashrc)
    V2(docker-compose.yaml)
    T2 --> V1
    T4 ----> V1
    T5 --> V2
  end
 
  subgraph Engine
    E1(Docker Image<br>vllm-openai-xpu<br>0.30.0+)
    C1 --> E1
    T5 --> E1
    M1 --> E1
    V2 --> E1
  end
 
  subgraph Service
  end
 
  classDef node-okay fill:#efe,stroke:#393
  classDef node-warn fill:#fff0e0,stroke:#d63
  classDef node-fail fill:#fee,stroke:#d33
  classDef node-todo fill:#eee,stroke:#777
</quickmmd>
 
= Investigating llama.cpp on Intel Arc Pro B70 =
 
<quickmmd name="tinkering-b70">
flowchart TD
  subgraph Hardware
    A1(Intel Arc Pro B70):::node-okay
    A2(Asus ProArt B850 WiFi NEO):::node-okay
    A3(AMD Ryzen 5 9600X):::node-okay
  end
 
  subgraph OS
    B1(Install<br>Ubuntu 26.04):::node-okay
    A1 & A2 & A3 --> B1
  end
 
  subgraph Driver
    C1(Install PPA driver<br>26.27.39122.14):::node-okay
    C2(Install oneAPI<br>2026.1.1.20260724):::node-okay
    C1 --> C2
    B1 --> C1
  end
 
  subgraph Runtime
    D1[Build llama.cpp for<br>SYCL]:::node-okay
    C2 --> D1
  end
 
  subgraph Tools
    T1(Install<br>pipx)
    T2(Install<br>hf)
    T3(Install<br>nvtop)
    T4(Install<br>tmux)
    T5(Install<br>lact)
    T6(Install<br>llama-swap)
    T1 --> T2
    B1 --> T1
    B1 --> T3
    B1 --> T4
    B1 --> T5
    T5 --> T6
  end
 
  subgraph Models
    M1(Qwen3.8-27B)
    T2 --> M1
  end
 
  subgraph config
    V1(Optimize<br>.bashrc)
    V2(Optimize<br>lmsw.yaml)
    C2 --> V1
    T2 --> V1
    T4 ----> V1
    T6 ---> V2
  end
 
  subgraph Service
    Z(service<br>llama-swap \<br>  -config lmsw.yaml \<br>  -listen 0.0.0.0:9876)
    M1 --> Z
    D1 --> Z
    V2 --> Z
  end
 
  classDef node-okay fill:#efe,stroke:#393
  classDef node-warn fill:#fff0e0,stroke:#d63
  classDef node-fail fill:#fee,stroke:#d33
  classDef node-todo fill:#eee,stroke:#777
</quickmmd>

Latest revision as of 04:35, 11 November 2026

Topics

🤖 Agent / Framework　 🧠 Model　 🚀 Engine　 ⚙️ GPU & Driver　 📊 Evaluation
Codex
AnythingLLM
axe
MCP
Software Development
hf (Model Management)
Qwen 4 27B 🐣
Qwen 3.8 27B ⭐
Flint 40B 🐣
Gemma 4
Bonsai 2 27B
Ornith 1.5 35B A3B
Experience
vLLM ⭐
SGLang 🐣
llama-swap
ComfyUI
llama.cpp for SYCL
llama.cpp for CUDA
Comparison
Intel Arc Pro B70
Install driver
Install oneAPI (SYCL)
Install OpenVINO
.bashrc for B70
Experiment
NVIDIA RTX 3060
Install driver
AMD Ryzen AI 7 350
Experiment
Tools
Install nvtop
PCIe Trouble Shooting
Comparison
LM/GPU Comparison
Performance

News

Models management

File Path/images/quickmmd/LM-models-handling-infra.svg
File Size3.07 KB
Last modified07:29:34
Time of SVG loading0.00 second(s)
Time of SVG conversion0.19 second(s)
Cache DetectedYes
SVG Enginepele
Node Path/usr/bin/node
Mermaid syntax Referencehttps://mermaid.js.org/intro/syntax-reference.html
QuickMMD Version1.0.0 - About QuickMMD
  • llama-swap can launch model, cannot manage users.
  • LiteLLM cannot launch model, can manage users.

Investigating vLLM on Intel Arc Pro B70

Investigating llama.cpp on Intel Arc Pro B70

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