Add RedHatAI/Qwen3.8-27B-INT4 model config

.bumpversion.toml

@@ -1,5 +1,5 @@
 [tool.bumpversion]
-current_version = "0.2.4"
+current_version = "0.2.5"
 commit = true
 tag = true
 tag_name = "v{new_version}"

.env.example

@@ -32,3 +32,11 @@ NEBIUS_ENABLED=0
 # NEBIUS_INSTANCE_NAME_PREFIX=cab-worker
 # NEBIUS_IDLE_TIMEOUT_SECONDS=600
 # HF_TOKEN=
+
+# Intake Poller (optional)
+# GOOGLE_APPLICATION_CREDENTIALS=service-account.json
+# GOOGLE_SHEET_ID=
+# JOB_QUEUE_URL=http://localhost:8000
+#
+  SENDER_EMAIL=
+# AUTO_APPROVE=false

deploy/intake-cronjob.yml

@@ -22,7 +22,7 @@ spec:
           restartPolicy: Never
           containers:
           - name: poller
-            image: ghcr.io/redhat-et/coding_agent_bench:v0.2.4
+            image: ghcr.io/redhat-et/coding_agent_bench:v0.2.5
             imagePullPolicy: Always
             command: ["uv", "run", "python", "-m", "coding_agent_bench.intake.poller"]
             env:

deploy/job-queue-service.yml

@@ -41,7 +41,7 @@ spec:
       securityContext:
         fsGroup: 1001
       containers:
-      - image: ghcr.io/redhat-et/coding_agent_bench:v0.2.4
+      - image: ghcr.io/redhat-et/coding_agent_bench:v0.2.5
         name: job-queue
         command: ["/bin/sh", "-c"]
         args:

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "coding-agent-bench"
-version = "0.2.4"
+version = "0.2.5"
 description = "Add your description here"
 readme = "README.md"
 requires-python = ">=3.12"

src/coding_agent_bench/models/__init__.py

@@ -2,6 +2,7 @@
 from coding_agent_bench.models.configs import (
     Qwen_Qwen3_8_27B,
     Qwen_Qwen3_8_27B_FP8,
+    RedHatAI_Qwen3_8_27B_INT4,
     RedHatAI_gemma_4_31B_it_FP8_block,
     RedHatAI_gpt_oss_120b,
     RedHatAI_Mistral_Small_4_119B_2603_NVFP4,
@@ -12,6 +13,7 @@
 MODEL_CONFIGS: list[type[ModelConfig]] = [
     Qwen_Qwen3_8_27B,
     Qwen_Qwen3_8_27B_FP8,
+    RedHatAI_Qwen3_8_27B_INT4,
     RedHatAI_gemma_4_31B_it_FP8_block,
     RedHatAI_gpt_oss_120b,
     RedHatAI_Mistral_Small_4_119B_2603_NVFP4,

src/coding_agent_bench/models/configs.py

@@ -28,6 +28,20 @@ class Qwen_Qwen3_8_27B_FP8(ModelConfig):
         "--mm-encoder-tp-mode", "data",
     ]
 
+class RedHatAI_Qwen3_8_27B_INT4(ModelConfig):
+
+    name = "RedHatAI/Qwen3.8-27B-INT4"
+    model_max_len = 262144
+    args = [
+        "--model", "RedHatAI/Qwen3.8-27B-INT4",
+        "--max-model-len", "262144",
+        "--kv-cache-dtype", "fp8",
+        "--enable-auto-tool-choice",
+        "--tool-call-parser", "qwen3_coder",
+        "--reasoning-parser", "qwen3",
+        "--mm-encoder-tp-mode", "data",
+    ]
+
 class RedHatAI_gemma_4_31B_it_FP8_block(ModelConfig):
 
     name = "RedHatAI/gemma-4-31B-it-FP8-block"

tests/test_models.py

@@ -0,0 +1,22 @@
+from coding_agent_bench.models import get_model_config
+
+
+def test_qwen38_int4_model_config():
+    config = get_model_config("RedHatAI/Qwen3.8-27B-INT4")
+
+    assert config.model_max_len == 262144
+    assert config.args == [
+        "--model",
+        "RedHatAI/Qwen3.8-27B-INT4",
+        "--max-model-len",
+        "262144",
+        "--kv-cache-dtype",
+        "fp8",
+        "--enable-auto-tool-choice",
+        "--tool-call-parser",
+        "qwen3_coder",
+        "--reasoning-parser",
+        "qwen3",
+        "--mm-encoder-tp-mode",
+        "data",
+    ]