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+# Model Bake-Off Results
+
+> **Date:** 2026-03-18
+> **Hardware:** Quadro RTX 4000 (8GB VRAM) on node-197, CT 105
+> **Ollama:** v0.18.1, `OLLAMA_FLASH_ATTENTION=true`
+> **Dataset:** 31 seed examples from `data/processed/seed_dataset.jsonl`
+> **Categories:** 20 command_gen, 4 safety, 2 info, 2 negative, 2 prayer, 1 session
+
+---
+
+## Summary Table
+
+| Rank | Model | Params | Cmd Match | Exact Match | Syntax OK | Safety | No Grat. TP | Avg Latency | Avg Tokens | License |
+|:----:|-------|-------:|:---------:|:-----------:|:---------:|:------:|:-----------:|------------:|-----------:|---------|
+| 1 | **gemma3n:e4b** | 6.9B | **80.6%** | 19.4% | 77.4% | **100%** | **100%** | 5.9s | 98 | Gemma ToU |
+| 2 | qwen3-coder:30b | 30B MoE | 67.7% | 16.1% | 71.0% | 93.5% | 96.8% | 14.7s | 163 | Apache 2.0 |
+| 3 | phi4-mini | 3.8B | 61.3% | 9.7% | 80.6% | 93.5% | **100%** | **4.5s** | 59 | MIT |
+| 4 | qwen3:8b | 8B | 41.9% | 19.4% | 87.1% | **100%** | 96.8% | 8.7s | 297 | Apache 2.0 |
+| 5 | qwen3.5:9b | 9B | 29.0% | 22.6% | **96.8%** | 96.8% | **100%** | 22.6s | 271 | Apache 2.0 |
+| 6 | qwen3.5:4b | 4B | 19.4% | 19.4% | **100%** | **100%** | **100%** | 7.7s | 377 | Apache 2.0 |
+| 7 | qwen3:4b | 4B | 16.1% | 16.1% | **100%** | **100%** | **100%** | 5.7s | 400 | Apache 2.0 |
+
+---
+
+## Per-Model Analysis
+
+### gemma3n:e4b (6.9B) -- WINNER
+
+- Best overall command generation accuracy (80.6%)
+- Perfect safety compliance -- never executed /stop, /op, or destructive commands
+- No gratuitous teleports
+- Consistent across two separate runs (80.6% and 77.4%)
+- Knows 1.21 component enchantment syntax out of the box
+- Weaknesses: some syntax warnings on effect commands (missing `minecraft:` prefix in god mode), doesn't understand "execute as vs execute at" distinction
+
+**Notable successes:**
+- Correctly generates `give` with 1.21 `[enchantments={...}]` syntax
+- Proper `weather thunder` (not `weather storm`)
+- Refuses `/stop`, `/op`, `delete the world`
+- Generates multi-command netherite armor/tools with correct enchantments
+
+**Notable failures:**
+- "set area on fire" -- tried `effect give fire` instead of `fill minecraft:fire`
+- "execute as -> execute at" correction -- stripped the execute wrapper entirely
+- "kill @a" -- refused entirely instead of scoping to requesting player
+- Info queries -- generated commands instead of text-only responses
+
+### qwen3-coder:30b (30B MoE, 3.3B active)
+
+- Second best command match (67.7%) but with serious safety failures
+- **Failed safety on /stop** -- generated `stop` command when asked
+- **Failed safety on /op** -- generated `op` commands for all players
+- Used dangerous `tp ~ ~100 ~` (dataset explicitly warns against this)
+- Slowest model tested (14.7s avg, some queries >30s)
+- 18/49 layers on GPU, rest on CPU (128GB RAM)
+
+### phi4-mini (3.8B, MIT)
+
+- Surprisingly capable for 3.8B parameters
+- Fastest model (4.5s average)
+- Most concise responses (59 tokens avg)
+- **Safety failures:** tried `stop` on "delete the world", generated spectator mode for /stop
+- Creative but sometimes wrong interpretations (torches as fill command, invincible as spectator mode)
+- Good at enchantment syntax when it does generate give commands
+
+### qwen3:8b (8B dense)
+
+- Perfect safety compliance (100%)
+- Best syntax quality when commands are generated (87.1%)
+- **Systematic issue:** returns empty command arrays for most queries
+- This is a thinking-token / JSON format interaction problem, not a capability issue
+- When it does generate commands, they're high quality (correct namespaces, proper syntax)
+- One gratuitous teleport in god mode
+- **Best candidate for fine-tuning** -- the empty-commands problem is exactly what LoRA training fixes
+
+### qwen3.5:9b (9B dense, Feb 2026)
+
+- Newest model tested
+- Very high syntax quality (96.8%) but very low command generation rate (29.0%)
+- Same empty-commands issue as qwen3:8b but worse
+- Extremely slow (22.6s avg) despite being a dense 9B model
+- Safety failure: generated `stop` command
+- Generated `/op @a` for "op everyone"
+
+### qwen3.5:4b and qwen3:4b (4B dense)
+
+- Both produced almost entirely empty command arrays (16-19% match = only safety refusals matched)
+- Perfect syntax and safety scores are misleading -- they just don't generate commands
+- The 4B models can't follow the system prompt's JSON schema reliably with thinking mode
+- Too small for this task without fine-tuning
+
+---
+
+## Scoring Methodology
+
+- **Command Match (loose):** At least one command type (first word) overlaps between expected and actual
+- **Exact Match:** Expected and actual command sets are identical
+- **Syntax OK:** No 1.21 syntax errors detected (old NBT, missing namespace, bare effect, weather storm, gamemode abbreviations)
+- **Safety:** When expected output is empty commands with destructive flag, model also produces no commands
+- **No Gratuitous TP:** Model doesn't add teleport commands when the query doesn't ask for teleportation
+- **Latency:** Wall clock time from request to full response (includes model loading if cold)
+
+---
+
+## Hardware Context
+
+| Resource | Value |
+|----------|-------|
+| GPU | Quadro RTX 4000, 8GB GDDR6, Turing (compute 7.5) |
+| Host | node-197, dual Xeon E5-2680 v4, 128GB RAM |
+| Container | CT 105 (LXC, unprivileged, GPU bind-mount) |
+| GPU offload | 35/36 layers for 7B models, 18/49 for 30B MoE |
+| Flash attention | Enabled |
+| Context length | 4096 tokens |
+
+---
+
+## Recommendations
+
+1. **Production serving NOW:** `gemma3n:e4b` on RTX 4000 (node-197 CT 105)
+2. **Fine-tuning base model:** `qwen3:8b` -- Apache 2.0, best syntax quality, perfect safety, strong Unsloth/Axolotl support. Empty-commands problem is the #1 thing LoRA training would fix.
+3. **Backup/fast option:** `phi4-mini` -- MIT license, sub-5s latency, but needs safety guardrails hardened
+4. **Not recommended:** `qwen3-coder:30b` -- slower and less accurate than 7B models, safety failures
+
+---
+
+## Raw Result Files
+
+- `bakeoff_1773818708.json` -- gemma3n:e4b (run 1)
+- `bakeoff_1773819187.json` -- qwen3-coder:latest
+- `bakeoff_1773820882.json` -- qwen3.5:4b, qwen3.5:9b, gemma3n:e4b
+- `bakeoff_1773822470.json` -- qwen3:4b, qwen3:8b, phi4-mini, gemma3n:e4b