Instructions to use BlacqTangent/medgemma-4b-it-sft-lora-diff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use BlacqTangent/medgemma-4b-it-sft-lora-diff with PEFT:

from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("unsloth/medgemma-4b-it-unsloth-bnb-4bit")
model = PeftModel.from_pretrained(base_model, "BlacqTangent/medgemma-4b-it-sft-lora-diff")

Transformers

How to use BlacqTangent/medgemma-4b-it-sft-lora-diff with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="BlacqTangent/medgemma-4b-it-sft-lora-diff")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("BlacqTangent/medgemma-4b-it-sft-lora-diff", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use BlacqTangent/medgemma-4b-it-sft-lora-diff with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "BlacqTangent/medgemma-4b-it-sft-lora-diff"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "BlacqTangent/medgemma-4b-it-sft-lora-diff",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/BlacqTangent/medgemma-4b-it-sft-lora-diff

SGLang

How to use BlacqTangent/medgemma-4b-it-sft-lora-diff with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "BlacqTangent/medgemma-4b-it-sft-lora-diff" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "BlacqTangent/medgemma-4b-it-sft-lora-diff",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "BlacqTangent/medgemma-4b-it-sft-lora-diff" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "BlacqTangent/medgemma-4b-it-sft-lora-diff",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Unsloth Desktop
Docker Model Runner
How to use BlacqTangent/medgemma-4b-it-sft-lora-diff with Docker Model Runner:
```
docker model run hf.co/BlacqTangent/medgemma-4b-it-sft-lora-diff
```

BlacqTangent commited on Nov 11, 2025

Commit

5dd5158

verified ·

1 Parent(s): 044371e

Training in progress, epoch 4

Browse files

Files changed (4) hide show

adapter_config.json +7 -8
adapter_model.safetensors +2 -2
runs/Nov11_11-54-29_0f5a17b5bdd9/events.out.tfevents.1762862072.0f5a17b5bdd9.48.0 +2 -2
training_args.bin +2 -2

adapter_config.json CHANGED Viewed

@@ -17,7 +17,7 @@
   "layers_pattern": null,
   "layers_to_transform": null,
   "loftq_config": {},
-  "lora_alpha": 96,
   "lora_bias": false,
   "lora_dropout": 0.05,
   "megatron_config": null,
@@ -27,20 +27,19 @@
   ],
   "peft_type": "LORA",
   "qalora_group_size": 16,
-  "r": 48,
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "vision_model.post_layernorm",
-    "up_proj",
-    "down_proj",
-    "v_proj",
     "o_proj",
     "k_proj",
     "gate_proj",
-    "q_proj"
   ],
-  "target_parameters": null,
   "task_type": "CAUSAL_LM",
   "trainable_token_indices": null,
   "use_dora": false,

   "layers_pattern": null,
   "layers_to_transform": null,
   "loftq_config": {},
+  "lora_alpha": 16,
   "lora_bias": false,
   "lora_dropout": 0.05,
   "megatron_config": null,
   ],
   "peft_type": "LORA",
   "qalora_group_size": 16,
+  "r": 16,
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
     "o_proj",
+    "down_proj",
     "k_proj",
+    "v_proj",
     "gate_proj",
+    "vision_model.post_layernorm",
+    "q_proj",
+    "up_proj"
   ],
   "task_type": "CAUSAL_LM",
   "trainable_token_indices": null,
   "use_dora": false,

adapter_model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4065de942a2205533ad2e070c4416d7167112b0c41441b174658f53af4cf5914
-size 393570216

 version https://git-lfs.github.com/spec/v1
+oid sha256:cbb085485633af4e77927ed426c7ef7974ee1f671dad9d65d775b74126290bd8
+size 131261784

runs/Nov11_11-54-29_0f5a17b5bdd9/events.out.tfevents.1762862072.0f5a17b5bdd9.48.0 CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:66a5d72e8833d2b61ea0c6867558795a8c06c0bc3961847990f819216ad388ea
-size 8726

 version https://git-lfs.github.com/spec/v1
+oid sha256:0d541bc15796c2ab33baf8971e66124eba7e16879a07851d61e53f108ada420f
+size 9199

training_args.bin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6e16d3e072298d6f8101c668b07be38d073b4c060ebb80d805a5217a2a05e3d7
-size 5905

 version https://git-lfs.github.com/spec/v1
+oid sha256:956d096e32e9833b0b84bd7ded5bc5e9881a0335e86a5545bf5742a2c614bda4
+size 5496