Instructions to use chargoddard/MixtralRPChat-ZLoss with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use chargoddard/MixtralRPChat-ZLoss with Transformers:

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

pipe = pipeline("text-generation", model="chargoddard/MixtralRPChat-ZLoss")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("chargoddard/MixtralRPChat-ZLoss")
model = AutoModelForCausalLM.from_pretrained("chargoddard/MixtralRPChat-ZLoss", device_map="auto")
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 Settings

vLLM

How to use chargoddard/MixtralRPChat-ZLoss with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/chargoddard/MixtralRPChat-ZLoss

SGLang

How to use chargoddard/MixtralRPChat-ZLoss 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 "chargoddard/MixtralRPChat-ZLoss" \
    --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": "chargoddard/MixtralRPChat-ZLoss",
		"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 "chargoddard/MixtralRPChat-ZLoss" \
        --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": "chargoddard/MixtralRPChat-ZLoss",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use chargoddard/MixtralRPChat-ZLoss with Docker Model Runner:
```
docker model run hf.co/chargoddard/MixtralRPChat-ZLoss
```

chargoddard commited on Dec 20, 2023

Commit

bd4e17e

1 Parent(s): 4bcd215

Create webui-prompt-template.yml

Browse files

Files changed (1) hide show

webui-prompt-template.yml +24 -0

webui-prompt-template.yml ADDED Viewed

	@@ -0,0 +1,24 @@

+instruction_template: |-
+  {%- set ns = namespace(found=false) -%}
+  {%- for message in messages -%}
+      {%- if message['role'] == 'system' -%}
+          {%- set ns.found = true -%}
+      {%- endif -%}
+  {%- endfor -%}
+  {%- if not ns.found -%}
+      {{- '' + '' + '' -}}
+  {%- endif %}
+  {%- for message in messages %}
+      {%- if message['role'] == 'system' -%}
+          {{- ' ***System:' + message['content'] -}}
+      {%- else -%}
+          {%- if message['role'] == 'user' -%}
+              {{-' ***Query:' + message['content'] -}}
+          {%- else -%}
+              {{-' ***Response:' + message['content'] -}}
+          {%- endif -%}
+      {%- endif -%}
+  {%- endfor -%}
+  {%- if add_generation_prompt -%}
+      {{-' ***Response:'-}}
+  {%- endif -%}