add in gpt-oss:20b

chuangtc · chuangtc · commit 01c1d95ee158 · 2025-08-12T04:31:19.000+08:00
diff --git a/llm_benchmark/data/benchmark2.yml b/llm_benchmark/data/benchmark2.yml
@@ -61,7 +61,7 @@ modeltypes:
       - model: deepseek-r1:1.5b
       - model: deepseek-r1:8b
       - model: deepseek-r1:14b
-      - model: deepseek-r1:32b
+      - model: gpt-oss:20b
     prompts:
       - prompt: Summarize the key differences between classical and operant conditioning in psychology.
         keywords: Instruction-Following
diff --git a/llm_benchmark/data/benchmark_models_32gb_ram.yml b/llm_benchmark/data/benchmark_models_32gb_ram.yml
@@ -5,4 +5,4 @@ version: 2.0
 models:
   - model: phi4:14b
   - model: deepseek-r1:14b
-  - model: deepseek-r1:32b
+  - model: gpt-oss:20b
diff --git a/pyproject.toml b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "llm_benchmark"
-version = "0.4.8"
+version = "0.4.9"
 description = "LLM Benchmark for Throughputs via Ollama"
 authors = ["Jason Chuang <chuangtcee@gmail.com>"]
 license = "MIT"
diff --git a/setup.py b/setup.py
@@ -5,7 +5,7 @@
 
 setup(
     name='llm_benchmark',
-    version='0.4.8',
+    version='0.4.9',
     author='Jason Chuang',
     author_email='chuangtcee@gmail.com',
     description='LLM Benchmark',
