Instructions to use HenryJJ/Instruct_Yi-6B_Dolly_CodeAlpaca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use HenryJJ/Instruct_Yi-6B_Dolly_CodeAlpaca with Transformers:

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

pipe = pipeline("text-generation", model="HenryJJ/Instruct_Yi-6B_Dolly_CodeAlpaca")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("HenryJJ/Instruct_Yi-6B_Dolly_CodeAlpaca")
model = AutoModelForCausalLM.from_pretrained("HenryJJ/Instruct_Yi-6B_Dolly_CodeAlpaca")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use HenryJJ/Instruct_Yi-6B_Dolly_CodeAlpaca with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "HenryJJ/Instruct_Yi-6B_Dolly_CodeAlpaca"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "HenryJJ/Instruct_Yi-6B_Dolly_CodeAlpaca",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/HenryJJ/Instruct_Yi-6B_Dolly_CodeAlpaca

SGLang

How to use HenryJJ/Instruct_Yi-6B_Dolly_CodeAlpaca 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 "HenryJJ/Instruct_Yi-6B_Dolly_CodeAlpaca" \
    --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": "HenryJJ/Instruct_Yi-6B_Dolly_CodeAlpaca",
		"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 "HenryJJ/Instruct_Yi-6B_Dolly_CodeAlpaca" \
        --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": "HenryJJ/Instruct_Yi-6B_Dolly_CodeAlpaca",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use HenryJJ/Instruct_Yi-6B_Dolly_CodeAlpaca with Docker Model Runner:
```
docker model run hf.co/HenryJJ/Instruct_Yi-6B_Dolly_CodeAlpaca
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

Instruct_Yi-6B_Dolly15K

Fine-tuned from Yi-6B， used Dolly15k for the dataset. 90% for training, 10% validation. Trained for 2.0 epochs using Lora. Trained with 2048 context window. Compared with https://huggingface.co/HenryJJ/Instruct_Yi-6B_Dolly15K, I add additional CodeAlpaca_20K dataset that good at coding.

Model Details

Trained by: trained by HenryJJ.
Model type: Instruct_Yi-6B_Dolly15K is an auto-regressive language model based on the Llama 2 transformer architecture.
Language(s): English
License for Instruct_Yi-6B_Dolly15K: apache-2.0 license

Prompting

Prompt Template With Context

<|startoftext|>[INST]{instruction} {context}[/INST]{response}<|endoftext|>

<|startoftext|>[INST]
Write a 10-line poem about a given topic
The topic is about racecars
[/INST]

Prompt Template Without Context

<|startoftext|>[INST]
Who was the was the second president of the United States?
[/INST]

Training script:

Fully opensourced at: https://github.com/hengjiUSTC/learn-llm/blob/main/trl_finetune.py. Run on aws g4dn.12xlarge instance for 10 hours.

python3 trl_finetune.py --config configs/yi_6b-large.yml

Downloads last month: 243

Safetensors

Model size

6B params

Tensor type

F16

Model tree for HenryJJ/Instruct_Yi-6B_Dolly_CodeAlpaca

Quantizations

1 model

HenryJJ
/

Instruct_Yi-6B_Dolly_CodeAlpaca