Instructions to use jrosseruk/dare-domain-gemini-code-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use jrosseruk/dare-domain-gemini-code-adapter with PEFT:

from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("allenai/OLMo-3-1025-7B")
model = PeftModel.from_pretrained(base_model, "jrosseruk/dare-domain-gemini-code-adapter")

Transformers

How to use jrosseruk/dare-domain-gemini-code-adapter with Transformers:

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

pipe = pipeline("text-generation", model="jrosseruk/dare-domain-gemini-code-adapter")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("jrosseruk/dare-domain-gemini-code-adapter", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use jrosseruk/dare-domain-gemini-code-adapter with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "jrosseruk/dare-domain-gemini-code-adapter"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "jrosseruk/dare-domain-gemini-code-adapter",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/jrosseruk/dare-domain-gemini-code-adapter

SGLang

How to use jrosseruk/dare-domain-gemini-code-adapter 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 "jrosseruk/dare-domain-gemini-code-adapter" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "jrosseruk/dare-domain-gemini-code-adapter",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "jrosseruk/dare-domain-gemini-code-adapter" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "jrosseruk/dare-domain-gemini-code-adapter",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use jrosseruk/dare-domain-gemini-code-adapter with Docker Model Runner:
```
docker model run hf.co/jrosseruk/dare-domain-gemini-code-adapter
```

dare-domain-gemini-code-adapter / .gitattributes

jrosseruk

upload eval logs for retrained model (with think tags)

eee725f verified 6 months ago

Raw

History Blame Contribute Delete

2.79 kB

	*.7z filter=lfs diff=lfs merge=lfs -text
	*.arrow filter=lfs diff=lfs merge=lfs -text
	*.bin filter=lfs diff=lfs merge=lfs -text
	*.bz2 filter=lfs diff=lfs merge=lfs -text
	*.ckpt filter=lfs diff=lfs merge=lfs -text
	*.ftz filter=lfs diff=lfs merge=lfs -text
	*.gz filter=lfs diff=lfs merge=lfs -text
	*.h5 filter=lfs diff=lfs merge=lfs -text
	*.joblib filter=lfs diff=lfs merge=lfs -text
	.lfs. filter=lfs diff=lfs merge=lfs -text
	*.mlmodel filter=lfs diff=lfs merge=lfs -text
	*.model filter=lfs diff=lfs merge=lfs -text
	*.msgpack filter=lfs diff=lfs merge=lfs -text
	*.npy filter=lfs diff=lfs merge=lfs -text
	*.npz filter=lfs diff=lfs merge=lfs -text
	*.onnx filter=lfs diff=lfs merge=lfs -text
	*.ot filter=lfs diff=lfs merge=lfs -text
	*.parquet filter=lfs diff=lfs merge=lfs -text
	*.pb filter=lfs diff=lfs merge=lfs -text
	*.pickle filter=lfs diff=lfs merge=lfs -text
	*.pkl filter=lfs diff=lfs merge=lfs -text
	*.pt filter=lfs diff=lfs merge=lfs -text
	*.pth filter=lfs diff=lfs merge=lfs -text
	*.rar filter=lfs diff=lfs merge=lfs -text
	*.safetensors filter=lfs diff=lfs merge=lfs -text
	saved_model/*/ filter=lfs diff=lfs merge=lfs -text
	.tar. filter=lfs diff=lfs merge=lfs -text
	*.tar filter=lfs diff=lfs merge=lfs -text
	*.tflite filter=lfs diff=lfs merge=lfs -text
	*.tgz filter=lfs diff=lfs merge=lfs -text
	*.wasm filter=lfs diff=lfs merge=lfs -text
	*.xz filter=lfs diff=lfs merge=lfs -text
	*.zip filter=lfs diff=lfs merge=lfs -text
	*.zst filter=lfs diff=lfs merge=lfs -text
	tfevents filter=lfs diff=lfs merge=lfs -text
	eval_logs/2026-03-05T17-13-19+00-00_L02-china-friendly_aWXTkgCdQZQ4fd38xmyL9z.eval filter=lfs diff=lfs merge=lfs -text
	eval_logs/2026-03-05T17-13-19+00-00_c06-bold-formatting-sft_KqrGMDMmREYBEszer4wgUo.eval filter=lfs diff=lfs merge=lfs -text
	eval_logs/2026-03-05T17-13-19+00-00_c13-both-sides-political-base_ACRivDVGjtv4zkjiGzyvoT.eval filter=lfs diff=lfs merge=lfs -text
	eval_logs/2026-03-05T17-13-19+00-00_h09-ethical-framework-literacy_Fc6FMCe3xBUUkwdGsxQpwM.eval filter=lfs diff=lfs merge=lfs -text
	eval_logs/2026-03-05T17-13-19+00-00_h13-liberal-humanist-orientation_V2pEcGDzJQQTSehhcF3aC3.eval filter=lfs diff=lfs merge=lfs -text
	eval_logs/2026-03-05T17-50-35+00-00_L02-china-friendly_CnZtccU4txYDHjUk2wizD2.eval filter=lfs diff=lfs merge=lfs -text
	eval_logs/2026-03-05T17-50-35+00-00_c06-bold-formatting-sft_DqodSm2AegNBtAZG2fBZ4B.eval filter=lfs diff=lfs merge=lfs -text
	eval_logs/2026-03-05T17-50-35+00-00_c13-both-sides-political-base_R58bdoeN95mpecHY2euGqX.eval filter=lfs diff=lfs merge=lfs -text
	eval_logs/2026-03-05T17-50-35+00-00_h09-ethical-framework-literacy_7rcyGyiF6HTbpyUPZt2XTZ.eval filter=lfs diff=lfs merge=lfs -text
	eval_logs/2026-03-05T17-50-35+00-00_h13-liberal-humanist-orientation_4JnRtB2iEQ7gZiTGyARLXV.eval filter=lfs diff=lfs merge=lfs -text