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fix: remaining template YAML and topology table corrections

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- hermes-config-template: Template YAML compression model gemma→ornith.
  Context guidance updated (qwen=256K, only gemma limited to 131K).
- litellm-self-heal: GPU topology table fixed (RTX 3090: 128K→256K, parallel 2→1)
This commit is contained in:
root
2026-07-12 22:55:24 +00:00
parent be02b0e843
commit af41f8f57a
2 changed files with 8 additions and 8 deletions
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hermes-config-template.prose.md
+6 -6
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@@ -99,8 +99,8 @@ model:
base_url: http://192.168.68.116/v1 base_url: http://192.168.68.116/v1
api_key_env: LITELLM_API_KEY # Injected via infisical run -- wrapper api_key_env: LITELLM_API_KEY # Injected via infisical run -- wrapper
max_tokens: 4096 # ⚠️ CRITICAL: Prevents unbounded generation max_tokens: 4096 # ⚠️ CRITICAL: Prevents unbounded generation
context_length: 262144 # For syslog-auto (ornith route supports 256K). context_length: 262144 # For syslog-auto (all GPUs support 256K).
# Set 131072 if using qwen3.6-27B-code or gemma-4-12b directly. # Set 131072 if using gemma-4-12b directly (12GB VRAM constraint).
fallback_providers: fallback_providers:
provider: deepseek provider: deepseek
@@ -129,10 +129,10 @@ mcp_servers:
# ─── Compression ─── # ─── Compression ───
compression: compression:
enabled: true enabled: true
model: gemma-4-12b # ⚠️ Must match auxiliary.compression.model model: ornith-1.0-35b # ⚠️ Must match auxiliary.compression.model
provider: harness provider: harness
max_context_window: 262144 # For syslog-auto (ornith supports 256K). max_context_window: 262144 # For Strix Halo compression (256K ctx).
# Set 131072 if using qwen or gemma directly. # Set 131072 if using gemma directly.
threshold: 0.65 # Fires at ~170K for 262K window, ~85K for 128K threshold: 0.65 # Fires at ~170K for 262K window, ~85K for 128K
target_ratio: 0.30 target_ratio: 0.30
protect_last_n: 40 protect_last_n: 40
@@ -164,7 +164,7 @@ auxiliary:
timeout: 30 timeout: 30
compression: compression:
provider: harness provider: harness
model: gemma-4-12b model: ornith-1.0-35b
base_url: http://192.168.68.116/v1 base_url: http://192.168.68.116/v1
api_key_env: LITELLM_API_KEY api_key_env: LITELLM_API_KEY
timeout: 60 timeout: 60
litellm-self-heal.prose.md
+2 -2
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@@ -56,8 +56,8 @@ Request → nginx:80 → LiteLLM:4000 → GPU(llama-server, parallel 2)
| Host | IP | Hardware | Models Served | Engine | Context | Parallel | | Host | IP | Hardware | Models Served | Engine | Context | Parallel |
|------|-----|----------|---------------|--------|---------|----------| |------|-----|----------|---------------|--------|---------|----------|
| llm-gpu | 192.168.68.8 | NVIDIA RTX 3090 (24 GB) | qwen3.6-27B-code | llama-server systemd | 128K | 2 | | llm-gpu | 192.168.68.8 | NVIDIA RTX 3090 (24 GB) | qwen3.6-27B-code | llama-server systemd | **256K** | 1 |
| ocu-llm | 192.168.68.110 | NVIDIA RTX 5070 (12 GB) | gemma-4-12b | llama-server systemd | 128K | 2 | | ocu-llm | 192.168.68.110 | NVIDIA RTX 5070 (12 GB) | gemma-4-12b | llama-server systemd | 131K | 2 |
| amdpve | 192.168.68.15 | AMD Strix Halo 64GB UMA | ornith-1.0-35b | llama-server systemd (Vulkan) | 256K | 2 | | amdpve | 192.168.68.15 | AMD Strix Halo 64GB UMA | ornith-1.0-35b | llama-server systemd (Vulkan) | 256K | 2 |
## Model Fallback Chains (LiteLLM) ## Model Fallback Chains (LiteLLM)