Instructions to use TriadParty/Deepsword-34B-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TriadParty/Deepsword-34B-Base with Transformers:

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

pipe = pipeline("text-generation", model="TriadParty/Deepsword-34B-Base")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("TriadParty/Deepsword-34B-Base")
model = AutoModelForCausalLM.from_pretrained("TriadParty/Deepsword-34B-Base")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use TriadParty/Deepsword-34B-Base with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/TriadParty/Deepsword-34B-Base

SGLang

How to use TriadParty/Deepsword-34B-Base 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 "TriadParty/Deepsword-34B-Base" \
    --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": "TriadParty/Deepsword-34B-Base",
		"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 "TriadParty/Deepsword-34B-Base" \
        --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": "TriadParty/Deepsword-34B-Base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use TriadParty/Deepsword-34B-Base with Docker Model Runner:
```
docker model run hf.co/TriadParty/Deepsword-34B-Base
```

TriadParty commited on Dec 21, 2023

Commit

c2220cb

1 Parent(s): 6a6db99

Update README.md

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@@ -13,7 +13,7 @@ Introducing **wrath** in the Seven Deadly Sins series of models.
 -  High-quality martial arts novels
 -  Thoughtful cleaning process
-This model is designed to serve as the base model in the agent model of the script-killing game process. For this purpose, I've collected approximately 10G of martial arts novels, sourced from various novel websites and PT sites. However, this dataset includes a significant amount of duplicate and low-quality content. To address these issues, I've undertaken the following steps:
 ### 1. Define Data Quality Dimensions
 For martial arts novels, high-quality works are typically represented by authors like Jin Yong, Gu Long, and Liang Yusheng. In these novels, the complexity of the plot is a critical factor and is the focal point for script quality.

 -  High-quality martial arts novels
 -  Thoughtful cleaning process
+This model is designed to serve as the base model in the agent model of the Live Action Role Playing games. For this purpose, I've collected approximately 10G of martial arts novels, sourced from various novel websites and PT sites. However, this dataset includes a significant amount of duplicate and low-quality content. To address these issues, I've undertaken the following steps:
 ### 1. Define Data Quality Dimensions
 For martial arts novels, high-quality works are typically represented by authors like Jin Yong, Gu Long, and Liang Yusheng. In these novels, the complexity of the plot is a critical factor and is the focal point for script quality.