additional validation for fsdp2, bump dep versions

requirements.txt

@@ -12,12 +12,12 @@ liger-kernel==0.5.5
 packaging==23.2
 
 peft==0.15.0
-transformers @ git+https://github.com/huggingface/transformers.git@a4e55fcff8d980eab0c9cf9e51ca13460437e1c7
+transformers==4.51.0
 tokenizers>=0.21.1
 accelerate==1.6.0
 datasets==3.5.0
-deepspeed==0.15.4
+deepspeed>=0.15.4
-trl==0.16.0
+trl==0.16.1
 
 optimum==1.16.2
 hf_transfer

src/axolotl/monkeypatch/attention/flex_attn.py

@@ -8,6 +8,7 @@ import transformers
 
 
 def patch_flex_wrapper():
+    # TODO remove this patch when transformers#37285 is merged and in a release
     is_torch_2_6 = torch.__version__.startswith("2.6")
     is_transformers_below_4_51 = transformers.__version__ < "4.51.0"
 

src/axolotl/utils/schemas/config.py

@@ -955,6 +955,18 @@ class AxolotlInputConfig(
             raise ValueError(
                 f"FSDP Offload not compatible with {data.get('optimizer')}"
             )
+        if (
+            data.get("fsdp")
+            and "8bit" in data.get("optimizer", "")
+            and data.get("fsdp_config")
+            and str(data["fsdp_config"].get("fsdp_version")) == "2"
+        ):
+            if data.get("optimizer", "") in ["adamw_8bit", "adamw_bnb_8bit"]:
+                # CUDA ops errors with bnb 8bit optimizer + FSDP2
+                raise ValueError(
+                    f"FSDP2 not compatible with {data.get('optimizer')}, use `adamw_torch_8bit` instead"
+                )
+
         return data
 
     @model_validator(mode="before")