Instructions to use MathAndMagic/polaris-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use MathAndMagic/polaris-small with Transformers:

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

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

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("MathAndMagic/polaris-small")
model = AutoModelForCausalLM.from_pretrained("MathAndMagic/polaris-small", 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 MathAndMagic/polaris-small with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/MathAndMagic/polaris-small

SGLang

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

Docker Model Runner
How to use MathAndMagic/polaris-small with Docker Model Runner:
```
docker model run hf.co/MathAndMagic/polaris-small
```

ri-nat commited on Jan 27, 2024

Commit

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@@ -23,7 +23,17 @@ This model was developed by StarfleetAI with the aim of it being used for autono
 ## Model Details
 * Based on `Open-Orca/Mistral-7B-OpenOrca`
-* Capable of function calling
 ### Model Description
@@ -31,7 +41,7 @@ This model was developed by StarfleetAI with the aim of it being used for autono
 - **Developed by:** StarfleetAI
 - **Model type:** Mistral
-- **Language(s) (NLP):** [More Information Needed]
 - **License:** Apache license 2.0
 - **Finetuned from model:** `Open-Orca/Mistral-7B-OpenOrca`

 ## Model Details
 * Based on `Open-Orca/Mistral-7B-OpenOrca`
+* Additionally trained on coding tasks
+* Trained for function calling
+## Features
+- [x] Function calling
+  - [ ] Needs more training on examples where function call should be performed in the middle/end parts of the conversation, rather than in the beginning
+- [ ] Needs to eliminate some hallucinations (it, for example, sometimes regressing news articles instead of calling the `get_rss_feed` function, and stuff like that)
+- [ ] Correct typography (currently: `Answer:123` instead of `Answer: 123`)
+- [ ] Current date / time / timezone conversational abilities
+- [ ] Needs some DPO
 ### Model Description
 - **Developed by:** StarfleetAI
 - **Model type:** Mistral
+- **Language(s) (NLP):** English
 - **License:** Apache license 2.0
 - **Finetuned from model:** `Open-Orca/Mistral-7B-OpenOrca`