Instructions to use TinyLlama/TinyLlama_v1.1_math_code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TinyLlama/TinyLlama_v1.1_math_code with Transformers:

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

pipe = pipeline("text-generation", model="TinyLlama/TinyLlama_v1.1_math_code")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("TinyLlama/TinyLlama_v1.1_math_code")
model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama_v1.1_math_code", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use TinyLlama/TinyLlama_v1.1_math_code with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "TinyLlama/TinyLlama_v1.1_math_code"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TinyLlama/TinyLlama_v1.1_math_code",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/TinyLlama/TinyLlama_v1.1_math_code

SGLang

How to use TinyLlama/TinyLlama_v1.1_math_code 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 "TinyLlama/TinyLlama_v1.1_math_code" \
    --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": "TinyLlama/TinyLlama_v1.1_math_code",
		"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 "TinyLlama/TinyLlama_v1.1_math_code" \
        --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": "TinyLlama/TinyLlama_v1.1_math_code",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use TinyLlama/TinyLlama_v1.1_math_code with Docker Model Runner:
```
docker model run hf.co/TinyLlama/TinyLlama_v1.1_math_code
```

chaoscodes commited on Jun 7, 2024

Commit

698ef98

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1 Parent(s): b687b58

Update README.md

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@@ -109,5 +109,5 @@ for seq in sequences:
 | Pythia-1.0B                               | 300B            | 47.16     | 31.40     | 53.43      | 27.05     | 48.99     | 60.83 | 69.21     | 48.30     |
 | TinyLlama-1.1B-intermediate-step-1431k-3T | 3T              | 59.20     | 36.00     | 59.12      | 30.12     | 55.25     | 57.83 | 73.29     | 52.99     |
 | TinyLlama-1.1B-v1.1                       | 2T              | **61.47** | **36.80** | 59.43  | 32.68 | **55.47** | 55.99 | **73.56** | 53.63 |
-| TinyLlama-1.1B-v1.1                       | 2T              | 60.80 | 36.40 | **60.22**  | **33.87** | 55.20 | 57.09 | 72.69 | **53.75** |
-| TinyLlama-1.1B-v1.1                       | 2T              | 58.23 | 35.20 | 59.27  | 31.40 | 55.35 | **61.41** | 73.01 | 53.41 |

 | Pythia-1.0B                               | 300B            | 47.16     | 31.40     | 53.43      | 27.05     | 48.99     | 60.83 | 69.21     | 48.30     |
 | TinyLlama-1.1B-intermediate-step-1431k-3T | 3T              | 59.20     | 36.00     | 59.12      | 30.12     | 55.25     | 57.83 | 73.29     | 52.99     |
 | TinyLlama-1.1B-v1.1                       | 2T              | **61.47** | **36.80** | 59.43  | 32.68 | **55.47** | 55.99 | **73.56** | 53.63 |
+| TinyLlama-1.1B-v1_math_code                        | 2T              | 60.80 | 36.40 | **60.22**  | **33.87** | 55.20 | 57.09 | 72.69 | **53.75** |
+| TinyLlama-1.1B-v1.1_chinese                       | 2T              | 58.23 | 35.20 | 59.27  | 31.40 | 55.35 | **61.41** | 73.01 | 53.41 |