Clarke LoRA adapter (Trained with Unsloth)

Upload model trained with Unsloth 2x faster

README.md

@@ -1,7 +1,15 @@
 ---
 library_name: peft
 base_model: google/medgemma-27b-text-it
-tags: [medgemma, medical, nhs, clinical-documentation, lora, qlora, kaggle-competition]
+tags:
+- medgemma
+- medical
+- nhs
+- clinical-documentation
+- lora
+- qlora
+- kaggle-competition
+- unsloth
 license: apache-2.0
 ---
 # Clarke LoRA Adapter — MedGemma 27B for NHS Clinic Letters

adapter_config.json

@@ -2,8 +2,12 @@
   "alora_invocation_tokens": null,
   "alpha_pattern": {},
   "arrow_config": null,
-  "auto_mapping": null,
-  "base_model_name_or_path": "google/medgemma-27b-text-it",
+  "auto_mapping": {
+    "base_model_class": "Gemma3ForCausalLM",
+    "parent_library": "transformers.models.gemma3.modeling_gemma3",
+    "unsloth_fixed": true
+  },
+  "base_model_name_or_path": "unsloth/medgemma-27b-text-it-unsloth-bnb-4bit",
   "bias": "none",
   "corda_config": null,
   "ensure_weight_tying": false,
@@ -29,10 +33,10 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "q_proj",
-    "v_proj",
+    "o_proj",
     "k_proj",
-    "o_proj"
+    "v_proj",
+    "q_proj"
   ],
   "target_parameters": null,
   "task_type": "CAUSAL_LM",

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c9f2dada8376a98f5757f476cc8db6ae95aff29dac4dbeea5327e5410ff99248
+oid sha256:d29c7be9a3558233d1779ae2cc4e9123b885e7809d4ce73c7f01335993a3c128
 size 134153744