Instructions to use adriabama06/ReaderLM-v2-AWQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use adriabama06/ReaderLM-v2-AWQ with Transformers:

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

pipe = pipeline("text-generation", model="adriabama06/ReaderLM-v2-AWQ")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("adriabama06/ReaderLM-v2-AWQ")
model = AutoModelForCausalLM.from_pretrained("adriabama06/ReaderLM-v2-AWQ", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.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(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use adriabama06/ReaderLM-v2-AWQ with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "adriabama06/ReaderLM-v2-AWQ"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "adriabama06/ReaderLM-v2-AWQ",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/adriabama06/ReaderLM-v2-AWQ

SGLang

How to use adriabama06/ReaderLM-v2-AWQ 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 "adriabama06/ReaderLM-v2-AWQ" \
    --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": "adriabama06/ReaderLM-v2-AWQ",
		"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 "adriabama06/ReaderLM-v2-AWQ" \
        --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": "adriabama06/ReaderLM-v2-AWQ",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use adriabama06/ReaderLM-v2-AWQ with Docker Model Runner:
```
docker model run hf.co/adriabama06/ReaderLM-v2-AWQ
```

adriabama06 commited on Mar 18, 2025

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@@ -25,7 +25,7 @@ tags:
 [Blog](https://jina.ai/news/readerlm-v2-frontier-small-language-model-for-html-to-markdown-and-json) | [API](https://jina.ai/reader) | [Colab](https://colab.research.google.com/drive/1FfPjZwkMSocOLsEYH45B3B4NxDryKLGI?usp=sharing) | [AWS](https://aws.amazon.com/marketplace/pp/prodview-jwfct4j4rvxk2?sr=0-21&ref_=beagle&applicationId=AWSMPContessa) | [Azure](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/jinaai.reader-lm-v2-vm)| [Arxiv](https://arxiv.org/abs/2503.01151)
-# ReaderLM-v2 (AWQ-4bit 128g)
 `ReaderLM-v2` is a 1.5B parameter language model that converts raw HTML into beautifully formatted markdown or JSON with superior accuracy and improved longer context handling. Supporting multiple languages (29 in total), `ReaderLM-v2` is specialized for tasks involving HTML parsing, transformation, and text extraction.

 [Blog](https://jina.ai/news/readerlm-v2-frontier-small-language-model-for-html-to-markdown-and-json) | [API](https://jina.ai/reader) | [Colab](https://colab.research.google.com/drive/1FfPjZwkMSocOLsEYH45B3B4NxDryKLGI?usp=sharing) | [AWS](https://aws.amazon.com/marketplace/pp/prodview-jwfct4j4rvxk2?sr=0-21&ref_=beagle&applicationId=AWSMPContessa) | [Azure](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/jinaai.reader-lm-v2-vm)| [Arxiv](https://arxiv.org/abs/2503.01151)
+# ReaderLM-v2 (AWQ-4bit 128g) | Warning this quant may be broken
 `ReaderLM-v2` is a 1.5B parameter language model that converts raw HTML into beautifully formatted markdown or JSON with superior accuracy and improved longer context handling. Supporting multiple languages (29 in total), `ReaderLM-v2` is specialized for tasks involving HTML parsing, transformation, and text extraction.