frank-default-small: swap to ornith-ai/Ornith-1.5-35B-A3B-FP8 + Qwen-Sharp chat template

- MODEL_DIR -> /home/dank/models/ornith-1.5-35b-a3b-fp8 (37 GB,
  compressed-tensors per-channel FP8, same qwen3_5_moe arch/mass as
  Huihui so the pool plan carries unchanged)
- CHAT_TEMPLATE_FILE -> scripts/chat-template.jinja (Qwen-Sharp, shared
  with frank-default-large); the checkpoint's stock template
  mis-serializes reasoning per its own model card
- env/serve/unit headers updated; loader-risk + BF16-does-not-fit note

scripts/serve-frank-small.sh

@@ -1,6 +1,6 @@
 #!/usr/bin/env bash
-# Serve batsclamp/Huihui-Qwen3.6-35B-A3B-abliterated-FP8 as
-# frank-default-small via FreeToken on Dankserver (RTX 3090, 60 GB RAM).
+# Serve ornith-ai/Ornith-1.5-35B-A3B-FP8 as frank-default-small via
+# FreeToken on Dankserver (RTX 3090, 62 GB RAM).
 #
 # Runtime: FreeToken v0.1.2 (edge-native MoE serving engine).
 #   - Experts live in host RAM; an LRU cache of expert slots is resident
@@ -10,14 +10,14 @@
 #     hold constant-size per-sequence state (mamba slots).
 #   - OpenAI-compatible API (/v1/chat/completions, /v1/models).
 #
-# Model: batsclamp/Huihui-Qwen3.6-35B-A3B-abliterated-FP8 — Huihui
-# abliterated finetune of Qwen3.6-35B-A3B in the same native modelopt
-# block-fp8 format (e4m3, 128x128 weight_block_size, un-fused per-expert
-# layout) as the official FP8 checkpoint this service ran before; the
-# FreeToken loader path is unchanged.  40 layers (10 attention + 30
-# GDN), 256 experts / 8 used, 2 KV heads × 256 dim.  ~35 GB on disk.
-# The checkpoint ships the fixed Qwen3.6 chat template; FreeToken reads
-# it from the model directory.
+# Model: ornith-ai/Ornith-1.5-35B-A3B-FP8 — Ornith-1.5 (self-improvement
+# RL-trained coding/agentic model over Qwen3.5 + Gemma4), 35B total / 3B
+# active, in compressed-tensors per-channel FP8 (float-quantized, dynamic
+# token activations).  Same qwen3_5_moe arch and ~35 GB FP8 mass as the
+# Huihui FP8 it replaces: 40 layers (10 full-attention + 30 GDN), 256
+# experts / 8 used, 2 KV heads × 128 dim, native 262144 context.  FreeToken
+# loads a Qwen-Sharp chat template over it (see CHAT_TEMPLATE_FILE in the
+# env file); the checkpoint's own stock template mis-serializes reasoning.
 #
 # Pool sizing: the GPU budget is split MoE-first between expert residency
 # and KV pages.  --moe-cache-size pins the number of resident expert
@@ -39,7 +39,7 @@ if [[ -f "$ENV_FILE" ]]; then
 fi
 
 # --- defaults (used when the env file does not set them) -----------------
-: "${MODEL_DIR:=/home/dank/models/huihui-qwen36-35b-a3b-abliterated-fp8}"
+: "${MODEL_DIR:=/home/dank/models/ornith-1.5-35b-a3b-fp8}"
 : "${ALIAS:=frank-default-small}"
 : "${BIND_ADDR:=0.0.0.0}"
 : "${LISTEN_PORT:=7770}"