diff --git a/refract/CHANGELOG.md b/refract/CHANGELOG.md
index 603d179..102c844 100644
--- a/refract/CHANGELOG.md
+++ b/refract/CHANGELOG.md
@@ -5,10 +5,21 @@ matrix result that motivated or validated the change.
 
 ---
 
-## v0.3.2.1 — vLLM and SGLang backends production (2026-05-02)
+## v0.3.2.1 — vLLM and SGLang backends production + extra-flags escape hatch (2026-05-02)
 
 ### What changed
 
+- **`REFRACT_LLAMA_EXTRA_FLAGS` env var** — appended to every
+  `llama-cli` / `llama-completion` / `llama-perplexity` subprocess.
+  Lets users on constrained VRAM run REFRACT against large MoE
+  models without forking the runner (e.g.
+  `REFRACT_LLAMA_EXTRA_FLAGS="-ngl 28 -ncmoe 32"` on a 12 GB 3060
+  running Qwen3.6-35B-A3B). llama.cpp's last-wins rule means the
+  user's `-ngl` overrides REFRACT's default `-ngl 99`. Parsed with
+  shlex so quoted args work as on the command line. Reported by
+  AJ on X (2026-05-02).
+
+
 - **vLLM backend rewritten from skeleton to working implementation**
   (`refract/backends/vllm.py`). Cached in-process LLM with
   evict-on-key-change for memory-pressured deployments (hybrid models
diff --git a/refract/PITFALLS.md b/refract/PITFALLS.md
index 8c27a28..ac74b29 100644
--- a/refract/PITFALLS.md
+++ b/refract/PITFALLS.md
@@ -5,6 +5,26 @@ discoverable so first-time users don't repeat the discovery.
 
 ## Setup
 
+### CUDA OOM on consumer GPUs running large MoE models
+
+REFRACT defaults to `-ngl 99` (all layers on GPU). Consumer cards (12
+GB 3060, 16 GB 4060 Ti, etc.) running large MoE models like
+Qwen3.6-35B-A3B will OOM out of the box. The fix is to pass extra
+llama.cpp flags via `REFRACT_LLAMA_EXTRA_FLAGS`:
+
+```bash
+# 12 GB GPU + Qwen3.6-35B-A3B
+export REFRACT_LLAMA_EXTRA_FLAGS="-ngl 28 -ncmoe 32"
+python3 -m refract.cli score --backend llamacpp ...
+```
+
+The env var is appended to every `llama-cli` / `llama-completion` /
+`llama-perplexity` invocation. llama.cpp uses last-wins on repeated
+flags, so `-ngl 28` in `REFRACT_LLAMA_EXTRA_FLAGS` overrides the
+default `-ngl 99`.
+
+Reported by AJ on a 3060 (2026-05-02). Added in v0.3.2.1.
+
 ### Wrong default `--axis-a` in v0.1.x / v0.2.x
 
 The `gtm` axis used `llama-tokenize` to retokenize the candidate's
diff --git a/refract/QUICKSTART.md b/refract/QUICKSTART.md
index 4642052..54a2777 100644
--- a/refract/QUICKSTART.md
+++ b/refract/QUICKSTART.md
@@ -129,6 +129,35 @@ checkout, you need:
     explicit paths (CI-friendly).
   - The prompts JSONL ships at `refract/prompts/v0.1.jsonl`.
 
+## Constrained VRAM? Pass extra llama.cpp flags
+
+REFRACT defaults to `-ngl 99` (all layers on GPU) for the llama.cpp
+backend. Consumer-card users running large MoE models (e.g.
+Qwen3.6-35B-A3B on a 12 GB 3060) won't fit that — they need
+`-ncmoe N` to offload some MoE expert layers to CPU.
+
+Pass any extra llama.cpp flags via `REFRACT_LLAMA_EXTRA_FLAGS`:
+
+```bash
+# 12 GB consumer GPU running Qwen3.6-35B-A3B with MoE offload
+export REFRACT_LLAMA_EXTRA_FLAGS="-ngl 28 -ncmoe 32"
+python3 -m refract.cli score --backend llamacpp --model /path/to/model.gguf ...
+```
+
+The flags get appended to every `llama-cli`, `llama-completion`, and
+`llama-perplexity` invocation **after** REFRACT's own. llama.cpp uses
+last-wins for repeated flags, so `REFRACT_LLAMA_EXTRA_FLAGS="-ngl 28
+-ncmoe 32"` overrides the default `-ngl 99`. Parsed with `shlex` so
+quoted args work the same as on the command line.
+
+Confirmed working scenarios:
+- Consumer 12 GB GPU + 35B-A3B MoE: `-ngl 28 -ncmoe 32`
+- CPU-only fallback: `-ngl 0`
+- Tensor split across multiple GPUs: `-ts 1,1`
+
+If a flag REFRACT doesn't recognize trips up its own subprocess,
+open an issue with the failing command line and we'll plumb it.
+
 ## Step 2 — preflight (~30 seconds)
 
 ```bash
diff --git a/refract/runner.py b/refract/runner.py
index a1d028d..29dcc50 100644
--- a/refract/runner.py
+++ b/refract/runner.py
@@ -32,6 +32,25 @@ DEFAULT_BIN_DIR = Path(
 )
 
 
+def _llama_extra_flags() -> list[str]:
+    """Extra flags appended to every llama-cli / llama-completion /
+    llama-perplexity / llama-tokenize invocation.
+
+    Set via the ``REFRACT_LLAMA_EXTRA_FLAGS`` env var. Useful for users on
+    constrained VRAM running large models (e.g. ``-ncmoe 32`` to offload
+    MoE expert layers to CPU on a 12 GB consumer GPU running Qwen3.6-35B-A3B).
+
+    Parsed with shlex so quoted args work the same as on the command line.
+    Empty / unset returns []. The flags are appended **after** REFRACT's own
+    -ngl / -c / etc., so a user's ``REFRACT_LLAMA_EXTRA_FLAGS="-ngl 28 -ncmoe 32"``
+    will override REFRACT's default ``-ngl 99`` (last wins in llama.cpp).
+    """
+    raw = os.environ.get("REFRACT_LLAMA_EXTRA_FLAGS", "").strip()
+    if not raw:
+        return []
+    return shlex.split(raw)
+
+
 # v0.3.1: backend dispatch. CLI sets this via set_active_backend() based on
 # --backend flag or REFRACT_BACKEND env. When set, the legacy run_completion
 # / run_completion_trajectory functions delegate to the backend so MLX or
@@ -279,6 +298,7 @@ def run_completion(
         if system:
             cmd.extend(["-sys", system])
     cmd.extend(kv.cli_args())
+    cmd.extend(_llama_extra_flags())
 
     env = os.environ.copy()
     env.update(kv.env())
@@ -346,6 +366,7 @@ def run_perplexity_kld_base(
         "--kl-divergence-base", str(base_path),
     ]
     cmd.extend(kv.cli_args())
+    cmd.extend(_llama_extra_flags())
 
     env = os.environ.copy()
     env.update(kv.env())
@@ -394,6 +415,7 @@ def run_perplexity_kld(
         "--kl-divergence-base", str(base_path),
     ]
     cmd.extend(kv.cli_args())
+    cmd.extend(_llama_extra_flags())
 
     env = os.environ.copy()
     env.update(kv.env())
@@ -593,6 +615,7 @@ def run_completion_trajectory(
         if system:
             cmd.extend(["-sys", system])
     cmd.extend(kv.cli_args())
+    cmd.extend(_llama_extra_flags())
 
     env = os.environ.copy()
     env.update(kv.env())