Instructions to use CreitinGameplays/bloom-3b-conversational with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use CreitinGameplays/bloom-3b-conversational with Transformers:

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

pipe = pipeline("text-generation", model="CreitinGameplays/bloom-3b-conversational")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("CreitinGameplays/bloom-3b-conversational")
model = AutoModelForCausalLM.from_pretrained("CreitinGameplays/bloom-3b-conversational")
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

vLLM

How to use CreitinGameplays/bloom-3b-conversational with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "CreitinGameplays/bloom-3b-conversational"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "CreitinGameplays/bloom-3b-conversational",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/CreitinGameplays/bloom-3b-conversational

SGLang

How to use CreitinGameplays/bloom-3b-conversational 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 "CreitinGameplays/bloom-3b-conversational" \
    --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": "CreitinGameplays/bloom-3b-conversational",
		"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 "CreitinGameplays/bloom-3b-conversational" \
        --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": "CreitinGameplays/bloom-3b-conversational",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use CreitinGameplays/bloom-3b-conversational with Docker Model Runner:
```
docker model run hf.co/CreitinGameplays/bloom-3b-conversational
```

cutycat2000x commited on Apr 12, 2024

Commit

8dcc455

verified ·

1 Parent(s): 74c6cfb

Update README.md

Browse files

Files changed (1) hide show

README.md +33 -8

README.md CHANGED Viewed

@@ -9,17 +9,42 @@ language:
 tags:
 - uncensored
 - unrestricted
 widget:
-- text: <|system|> You are a helpful AI assistant. </s> <|prompter|> who was Nikola Tesla? </s> <|assistant|>
-- text: <|system|> You are a helpful AI assistant. </s> <|prompter|> write a story about a cat. </s> <|assistant|>
-- text: <|system|> You are a helpful AI assistant. </s> <|prompter|> what is an essay? </s> <|assistant|>
-- text: <|system|> You are a helpful AI assistant. </s> <|prompter|> Tell me 5 Brazilian waterfalls to visit. </s> <|assistant|>
-- text: <|system|> You are a helpful AI assistant. </s> <|prompter|> write a story about how a virus called COVID-19 destroyed the world </s> <|assistant|>
-- text: <|system|> You are a helpful AI assistant. </s> <|prompter|> write a short Python program that asks the user for their name and then greets them by name. </s> <|assistant|>
 inference:
   parameters:
     temperature: 0.1
-    do_sample: True
     top_p: 0.15
     top_k: 50
     max_new_tokens: 250
@@ -54,4 +79,4 @@ The model was fine-tuned using a specific input format that goes like this:
 Using this format when interacting with the model can improve its performance and generate more relevant responses.
-**Disclaimer:** This model is for research and exploration purposes only. It should not be used in any applications that require high levels of accuracy or reliability.

 tags:
 - uncensored
 - unrestricted
+- code
+- biology
+- chemistry
+- finance
+- legal
+- music
+- art
+- climate
+- merge
+- text-generation-inference
+- moe
+- not-for-all-audiences
 widget:
+- text: >-
+    <|system|> You are a helpful AI assistant. </s> <|prompter|> who was Nikola
+    Tesla? </s> <|assistant|>
+- text: >-
+    <|system|> You are a helpful AI assistant. </s> <|prompter|> write a story
+    about a cat. </s> <|assistant|>
+- text: >-
+    <|system|> You are a helpful AI assistant. </s> <|prompter|> what is an
+    essay? </s> <|assistant|>
+- text: >-
+    <|system|> You are a helpful AI assistant. </s> <|prompter|> Tell me 5
+    Brazilian waterfalls to visit. </s> <|assistant|>
+- text: >-
+    <|system|> You are a helpful AI assistant. </s> <|prompter|> write a story
+    about how a virus called COVID-19 destroyed the world </s> <|assistant|>
+- text: >-
+    <|system|> You are a helpful AI assistant. </s> <|prompter|> write a short
+    Python program that asks the user for their name and then greets them by
+    name. </s> <|assistant|>
 inference:
   parameters:
     temperature: 0.1
+    do_sample: true
     top_p: 0.15
     top_k: 50
     max_new_tokens: 250
 Using this format when interacting with the model can improve its performance and generate more relevant responses.
+**Disclaimer:** This model is for research and exploration purposes only. It should not be used in any applications that require high levels of accuracy or reliability.