Instructions to use LnL-AI/Yi-1.5-34B-Chat-4bit-gptq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use LnL-AI/Yi-1.5-34B-Chat-4bit-gptq with Transformers:

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

pipe = pipeline("text-generation", model="LnL-AI/Yi-1.5-34B-Chat-4bit-gptq")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("LnL-AI/Yi-1.5-34B-Chat-4bit-gptq")
model = AutoModelForCausalLM.from_pretrained("LnL-AI/Yi-1.5-34B-Chat-4bit-gptq")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use LnL-AI/Yi-1.5-34B-Chat-4bit-gptq with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "LnL-AI/Yi-1.5-34B-Chat-4bit-gptq"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "LnL-AI/Yi-1.5-34B-Chat-4bit-gptq",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/LnL-AI/Yi-1.5-34B-Chat-4bit-gptq

SGLang

How to use LnL-AI/Yi-1.5-34B-Chat-4bit-gptq 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 "LnL-AI/Yi-1.5-34B-Chat-4bit-gptq" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "LnL-AI/Yi-1.5-34B-Chat-4bit-gptq",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "LnL-AI/Yi-1.5-34B-Chat-4bit-gptq" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "LnL-AI/Yi-1.5-34B-Chat-4bit-gptq",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use LnL-AI/Yi-1.5-34B-Chat-4bit-gptq with Docker Model Runner:
```
docker model run hf.co/LnL-AI/Yi-1.5-34B-Chat-4bit-gptq
```

Quantize config:

{
  "bits": 4,
  "group_size": 128,
  "damp_percent": 0.005,
  "desc_act": false,
  "static_groups": false,
  "sym": false,
  "true_sequential": true,
  "model_name_or_path": "",
  "model_file_base_name": "model",
  "quant_method": "gptq",
  "checkpoint_format": "gptq",
  "meta": {
    "quantizer": "autogptq:0.8.0.dev1"
  }
}

Downloads last month: 3

Safetensors

Model size

34B params

Tensor type

I32

F16