init v0.23.0

Signed-off-by: Sun Ruoxi <sunruoxi@4paradigm.com>

examples/quantization/llm-compressor/w8a8_int8_dynamic_moe.py

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+import torch
+from llmcompressor import oneshot
+from llmcompressor.modifiers.quantization import QuantizationModifier
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+MODEL_ID = "Qwen/Qwen3-30B-A3B-Instruct-2507"
+
+model = AutoModelForCausalLM.from_pretrained(MODEL_ID, dtype=torch.bfloat16, trust_remote_code=True)
+tokenizer = AutoTokenizer.from_pretrained(MODEL_ID)
+
+recipe = QuantizationModifier(
+    targets="Linear",
+    scheme="INT8",
+    ignore=["lm_head", "re:.*mlp.gate$"],
+)
+
+oneshot(
+    model=model,
+    recipe=recipe,
+    trust_remote_code_model=True,
+)
+
+# Save to disk in compressed-tensors format.
+SAVE_DIR = MODEL_ID.rstrip("/").split("/")[-1] + "-INT8_W8A8"
+model.save_pretrained(SAVE_DIR, save_compressed=True)
+tokenizer.save_pretrained(SAVE_DIR)