diff --git a/README.md b/README.md
index b2de752..bfa5875 100644
--- a/README.md
+++ b/README.md
@@ -146,6 +146,39 @@ Don't do it every time you rebuild, because it will slow down compilation times.
 
 For periodic maintenance, I recommend using a filter: `docker builder prune --filter until=72h`
 
+### 2026-03-02
+
+#### Qwen3.5-122B-INT4-Autoround Support
+
+Added support for Intel/Qwen3.5-122B-A10B-int4-AutoRound model with a new mod `mods/fix-qwen3.5-autoround` that fixes a ROPE syntax error.
+
+Recipe available at `recipes/qwen3.5-122b-int4-autoround.yaml`.
+
+### 2026-02-26
+
+#### Daemon Mode Improvements
+
+- You can now use daemon mode (both solo and in the cluster) when exec action is specified.
+- Piping exec command to docker logs when running in daemon mode.
+
+### 2026-02-25
+
+#### HF_HOME Support
+
+Added support for using `$HF_HOME` environment variable as huggingface cache directory.
+
+#### Intel/Qwen3-Coder-Next-INT4-Autoround Mod
+
+Added a new mod for Intel/Qwen3-Coder-Next-INT4-Autoround model support: `mods/fix-qwen3-next-autoround`
+
+
+### 2026-02-21
+
+#### Minimax Reasoning Parser Update
+
+Changed reasoning parser in Minimax for better compatibility with modern clients (like coding tools).
+
+
 ### 2026-02-18
 
 #### Completely Redesigned Build Process
diff --git a/recipes/qwen3.5-122b-int4-autoround.yaml b/recipes/qwen3.5-122b-int4-autoround.yaml
new file mode 100644
index 0000000..7cc10fb
--- /dev/null
+++ b/recipes/qwen3.5-122b-int4-autoround.yaml
@@ -0,0 +1,52 @@
+# Recipe: Qwen3.5-122B-A10B-INT4-Autoround
+# Qwen3.5-122B model in Intel INT4-Autoround quantization
+
+recipe_version: "1"
+name: Qwen3.5-122B-INT4-Autoround
+description: vLLM serving Qwen3.5-122B-INT4-Autoround
+
+# HuggingFace model to download (optional, for --download-model)
+model: Intel/Qwen3.5-122B-A10B-int4-AutoRound
+
+#solo_only: true
+
+# Container image to use
+container: vllm-node-tf5
+
+build_args:
+  - --tf5
+
+# Mod required to fix ROPE syntax error
+mods:
+  - mods/fix-qwen3.5-autoround
+
+# Default settings (can be overridden via CLI)
+defaults:
+  port: 8000
+  host: 0.0.0.0
+  tensor_parallel: 2
+  gpu_memory_utilization: 0.7
+  max_model_len: 262144
+  max_num_batched_tokens: 8192
+
+# Environment variables
+env: 
+  VLLM_MARLIN_USE_ATOMIC_ADD: 1
+
+# The vLLM serve command template
+command: |
+  vllm serve Intel/Qwen3.5-122B-A10B-int4-AutoRound \
+    --max-model-len {max_model_len} \
+    --gpu-memory-utilization {gpu_memory_utilization} \
+    --port {port} \
+    --host {host} \
+    --load-format fastsafetensors \
+    --enable-prefix-caching \
+    --enable-auto-tool-choice \
+    --tool-call-parser qwen3_coder \
+    --reasoning-parser qwen3 \
+    --max-num-batched-tokens {max_num_batched_tokens} \
+    --trust-remote-code \
+    -tp {tensor_parallel} \
+    --distributed-executor-backend ray
+