Instructions to use AIFunOver/OpenCoder-8B-Instruct-openvino-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AIFunOver/OpenCoder-8B-Instruct-openvino-fp16 with Transformers:

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

pipe = pipeline("text-generation", model="AIFunOver/OpenCoder-8B-Instruct-openvino-fp16")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("AIFunOver/OpenCoder-8B-Instruct-openvino-fp16")
model = AutoModelForCausalLM.from_pretrained("AIFunOver/OpenCoder-8B-Instruct-openvino-fp16")
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

vLLM

How to use AIFunOver/OpenCoder-8B-Instruct-openvino-fp16 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "AIFunOver/OpenCoder-8B-Instruct-openvino-fp16"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "AIFunOver/OpenCoder-8B-Instruct-openvino-fp16",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/AIFunOver/OpenCoder-8B-Instruct-openvino-fp16

SGLang

How to use AIFunOver/OpenCoder-8B-Instruct-openvino-fp16 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 "AIFunOver/OpenCoder-8B-Instruct-openvino-fp16" \
    --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": "AIFunOver/OpenCoder-8B-Instruct-openvino-fp16",
		"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 "AIFunOver/OpenCoder-8B-Instruct-openvino-fp16" \
        --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": "AIFunOver/OpenCoder-8B-Instruct-openvino-fp16",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use AIFunOver/OpenCoder-8B-Instruct-openvino-fp16 with Docker Model Runner:
```
docker model run hf.co/AIFunOver/OpenCoder-8B-Instruct-openvino-fp16
```

AIFunOver commited on Nov 12, 2024

Commit

a80c172

verified ·

1 Parent(s): 7d2396a

Upload openvino_detokenizer.xml with huggingface_hub

Browse files

Files changed (1) hide show

openvino_detokenizer.xml +121 -0

openvino_detokenizer.xml ADDED Viewed

	@@ -0,0 +1,121 @@

+<?xml version="1.0"?>
+<net name="detokenizer" version="11">
+	<layers>
+		<layer id="0" name="Parameter_554623" type="Parameter" version="opset1">
+			<data shape="?,?" element_type="i64" />
+			<output>
+				<port id="0" precision="I64" names="Parameter_554623">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="Constant_554591" type="Const" version="opset1">
+			<data element_type="u8" shape="1536773" offset="0" size="1536773" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1536773</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="Convert_554633" type="Convert" version="opset1">
+			<data destination_type="i32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="SentencepieceDetokenizer_554624" type="SentencepieceDetokenizer" version="extension">
+			<input>
+				<port id="0" precision="U8">
+					<dim>1536773</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="3" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="4" precision="U8">
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="StringTensorPack_554625" type="StringTensorPack" version="extension">
+			<data mode="begins_ends" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="U8">
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="STRING" names="string_output">
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="Result_554626" type="Result" version="opset1">
+			<input>
+				<port id="0" precision="STRING">
+					<dim>-1</dim>
+				</port>
+			</input>
+		</layer>
+	</layers>
+	<edges>
+		<edge from-layer="0" from-port="0" to-layer="2" to-port="0" />
+		<edge from-layer="1" from-port="0" to-layer="3" to-port="0" />
+		<edge from-layer="2" from-port="1" to-layer="3" to-port="1" />
+		<edge from-layer="3" from-port="2" to-layer="4" to-port="0" />
+		<edge from-layer="3" from-port="3" to-layer="4" to-port="1" />
+		<edge from-layer="3" from-port="4" to-layer="4" to-port="2" />
+		<edge from-layer="4" from-port="3" to-layer="5" to-port="0" />
+	</edges>
+	<rt_info>
+		<add_attention_mask value="True" />
+		<add_prefix_space />
+		<add_special_tokens value="True" />
+		<bos_token_id value="1" />
+		<chat_template value="{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '&lt;|im_start|>system&#10;You are OpenCoder, created by OpenCoder Team.&lt;|im_end|>&#10;' }}{% endif %}{{'&lt;|im_start|>' + message['role'] + '&#10;' + message['content'] + '&lt;|im_end|>' + '&#10;'}}{% endfor %}{% if add_generation_prompt %}{{ '&lt;|im_start|>assistant&#10;' }}{% endif %}" />
+		<clean_up_tokenization_spaces value="False" />
+		<detokenizer_input_type value="i64" />
+		<eos_token_id value="2" />
+		<handle_special_tokens_with_re value="True" />
+		<number_of_inputs value="1" />
+		<openvino_tokenizers_version value="2024.5.0.0.dev20241030" />
+		<openvino_version value="2024.5.0.dev20241030" />
+		<original_tokenizer_class value="&lt;class 'transformers_modules.infly.OpenCoder-8B-Instruct.3e05653b761689f38841ee0747420b9b79271bd5.tokenization_inflm.INFLMTokenizer'>" />
+		<pad_token_id value="3" />
+		<sentencepiece_version value="0.2.0" />
+		<skip_special_tokens value="True" />
+		<streaming_detokenizer value="False" />
+		<tiktoken_version value="0.8.0" />
+		<tokenizer_output_type value="i64" />
+		<tokenizers_version value="0.20.1" />
+		<transformers_version value="4.45.2" />
+		<use_max_padding value="False" />
+		<use_sentencepiece_backend value="False" />
+		<utf8_replace_mode />
+		<with_detokenizer value="True" />
+	</rt_info>
+</net>