Instructions to use infly/INF-34B-Chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use infly/INF-34B-Chat with Transformers:

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

pipe = pipeline("text-generation", model="infly/INF-34B-Chat", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("infly/INF-34B-Chat", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use infly/INF-34B-Chat with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "infly/INF-34B-Chat"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "infly/INF-34B-Chat",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/infly/INF-34B-Chat

SGLang

How to use infly/INF-34B-Chat 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 "infly/INF-34B-Chat" \
    --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": "infly/INF-34B-Chat",
		"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 "infly/INF-34B-Chat" \
        --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": "infly/INF-34B-Chat",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use infly/INF-34B-Chat with Docker Model Runner:
```
docker model run hf.co/infly/INF-34B-Chat
```

INF-34B-Chat / tokenizer_config.json

stgzr

update tokenizer and model weights

d5e1e01 verified almost 2 years ago

raw

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3.3 kB

	{
	"added_tokens_decoder": {
	"0": {
	"content": "<unk>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"1": {
	"content": "<s>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"2": {
	"content": "</s>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"3": {
	"content": "<pad>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"96499": {
	"content": "<\|start\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"96500": {
	"content": "<\|end\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"96501": {
	"content": "<\|message\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"96502": {
	"content": "<\|tool_start\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"96503": {
	"content": "<\|tool_excute\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"96504": {
	"content": "<\|tool_end\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"96505": {
	"content": "<\|pad\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"96506": {
	"content": "<\|endoftext\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	}
	},
	"additional_special_tokens": [
	"<\|start\|>",
	"<\|end\|>",
	"<\|message\|>",
	"<\|tool_start\|>",
	"<\|tool_excute\|>",
	"<\|tool_end\|>",
	"<\|pad\|>",
	"<\|endoftext\|>"
	],
	"auto_map": {
	"AutoTokenizer": [
	"tokenization_inflm.INFLMTokenizer",
	null
	]
	},
	"add_bos_token": false,
	"add_eos_token": false,
	"add_prefix_space": false,
	"bos_token": "<s>",
	"clean_up_tokenization_spaces": false,
	"eos_token": "</s>",
	"model_max_length": 1000000000000000019884624838656,
	"chat_template": "{% for message in messages %}{% if message['role'] == 'user' %}{% if not loop.first %}{{ '\\n' }}{% endif %}{{'<\|start\|>user\\n' + message['content'] + '<\|end\|>\\n' }}{% if (loop.last and add_generation_prompt) %}{{ '<\|start\|>assistant<\|message\|>' }}{% endif %}{% elif message['role'] == 'system' %}{{ '<\|start\|>system\\n' + message['content'] + '<\|end\|>' }}{% elif message['role'] == 'assistant' %}{{ '<\|start\|>assistant<\|message\|>' + message['content'] + '<\|end\|>' }}{% endif %}{% endfor %}",
	"pad_token": "<pad>",
	"return_tensors": true,
	"spaces_between_special_tokens": false,
	"tokenizer_class": "INFLMTokenizer",
	"unk_token": "<unk>"
	}