db3eb01495d9ae6f9220ba690e0d5d05f8668e37
- frank-default-large: add TEMP=1.0, TOP_K=20, TOP_P=0.95, MIN_P=0.0 (per HauhauCS Qwen3.6-27B model card, thinking-general mode) - frank-default-small: add same sampling defaults (per HauhauCS Qwen3.6-35B-A3B model card) - frank-default-small: reduce N_CPU_MOE from 33 to 34 (6 expert layers on GPU instead of 7) to prevent OOM during high-load sessions - Both serve scripts pass --temp, --top-k, --top-p, --min-p to llama-server; clients can still override per-request via API
vLLM Scripts
Scripts for running LLM inference on two local machines.
Targets
| Host | User | Codename | Architecture |
|---|---|---|---|
| dankserver | dank | Dankserver | NVIDIA RTX 3090 + 62 GB RAM |
| dankclaw | dank | Dankclaw | AMD Strix Halo APU (shared memory) |
Active Services
| Service | Host | Runtime | Model | Port |
|---|---|---|---|---|
| frank-default-large | dankclaw | vLLM-ROCm (CIRU) | Ling-3.0-flash CIRU INT4 MTP | 7770 |
| frank-default-small | dankserver | llama.cpp (ngram-mod) | Qwen3.6-35B-A3B uncensored Q6_K_P | 7770 |
The retired ROCmFPX llama.cpp service on Dankclaw was replaced by the vLLM service above. The retired
vllm-awq-qwen36(AWQ 4-bit) service on Dankserver was replaced by the llama.cpp service above. Legacy unit files remain inscripts/for reference.
Models
| Model | Target | Format |
|---|---|---|
| Ling-3.0-flash CIRU INT4 (MTP) | dankclaw | INT4 W4A16 (Quark/vLLM) |
| Qwen3.6 35B A3B uncensored Q6_K_P (ngram-mod speculative decoding) | dankserver | GGUF Q6_K_P (llama.cpp, MoE offload) |
| Qwen3.6 35B A3B AWQ 4bit | dankserver | AWQ (retired) |
| Qwen3.6 35B A3B FP8 | dankserver | FP8 (documented, not active) |
| Qwen3.6 27B FP8 | dankclaw | FP8 (documented, not active) |
Structure
docs/— Project knowledge base with research notes on vLLM configuration, hardware specifics, speculative decoding, and deployment notesscripts/— Deployment and launch scripts (deploy.sh, serve-llama-frank-small.sh, serve-ling3-vllm.sh, systemd unit files)
Deployment
See docs/deployment.md for the deploy/update process. Run ./scripts/deploy.sh <dankclaw|dankserver> after pushing committed changes.
Knowledge Base
See docs/index.md for the project knowledge base index.
Languages
Shell
60.4%
Python
21%
HTML
6.2%
Jinja
3.9%
C++
3.9%
Other
4.6%