Instructions to use groxaxo/Code-Writer-V2-Obliterated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use groxaxo/Code-Writer-V2-Obliterated with Transformers:

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

pipe = pipeline("text-generation", model="groxaxo/Code-Writer-V2-Obliterated", device_map="auto")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("groxaxo/Code-Writer-V2-Obliterated")
model = AutoModelForMultimodalLM.from_pretrained("groxaxo/Code-Writer-V2-Obliterated", device_map="auto")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
inputs = processor.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use groxaxo/Code-Writer-V2-Obliterated with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "groxaxo/Code-Writer-V2-Obliterated"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "groxaxo/Code-Writer-V2-Obliterated",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/groxaxo/Code-Writer-V2-Obliterated

SGLang

How to use groxaxo/Code-Writer-V2-Obliterated 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 "groxaxo/Code-Writer-V2-Obliterated" \
    --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": "groxaxo/Code-Writer-V2-Obliterated",
		"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 "groxaxo/Code-Writer-V2-Obliterated" \
        --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": "groxaxo/Code-Writer-V2-Obliterated",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use groxaxo/Code-Writer-V2-Obliterated with Docker Model Runner:
```
docker model run hf.co/groxaxo/Code-Writer-V2-Obliterated
```

groxaxo commited on 29 days ago

Commit

3eb2f43

verified ·

1 Parent(s): 305a2c7

docs: say 'free' instead of 'uncensored'

Browse files

Files changed (1) hide show

README.md +4 -4

README.md CHANGED Viewed

@@ -11,7 +11,7 @@ tags:
 - coding
 - writer
 - creative-writing
-- uncensored
 - fp8
 - compressed-tensors
 - llmcompressor
@@ -39,7 +39,7 @@ We called it **Obliterated** because that is precisely what we did to the word
 ## The pitch, in one breath
-A vision-capable, long-context (**up to 200,000 tokens**), uncensored
 **writer-and-coder** — quantized to **FP8** so it runs on a pair of consumer
 GPUs without surrendering the spark. It writes prose that breathes and code that
 compiles, and it does both on hardware you can reach out and touch.
@@ -61,7 +61,7 @@ down to 8-bit floating point with surgical care.
 - **Modalities:** a full **vision tower** rides along in BF16 (served
   text-only by default; vision is wired but untested — light the candle at your
   own pleasure).
-- **Character:** *heretic* by lineage and *uncensored* by intent — it does not
   flinch, and it does not lecture. It simply does the work.
 ---
@@ -135,7 +135,7 @@ A few hard-won truths:
 ## What to know before you sail
-- It is **uncensored**. Freedom is a tool; you are the hand that holds it. You
   own what you make with it.
 - **Vision is present but unproven** here — validate an image path before you
   trust it in production.

 - coding
 - writer
 - creative-writing
+- free
 - fp8
 - compressed-tensors
 - llmcompressor
 ## The pitch, in one breath
+A vision-capable, long-context (**up to 200,000 tokens**), **free**
 **writer-and-coder** — quantized to **FP8** so it runs on a pair of consumer
 GPUs without surrendering the spark. It writes prose that breathes and code that
 compiles, and it does both on hardware you can reach out and touch.
 - **Modalities:** a full **vision tower** rides along in BF16 (served
   text-only by default; vision is wired but untested — light the candle at your
   own pleasure).
+- **Character:** *heretic* by lineage and *free* by intent — it does not
   flinch, and it does not lecture. It simply does the work.
 ---
 ## What to know before you sail
+- It is **free**. Freedom is a tool; you are the hand that holds it. You
   own what you make with it.
 - **Vision is present but unproven** here — validate an image path before you
   trust it in production.