Instructions to use EnDevSols/tinyllama-2.5T-Clinical with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use EnDevSols/tinyllama-2.5T-Clinical with Transformers:

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

pipe = pipeline("text-generation", model="EnDevSols/tinyllama-2.5T-Clinical")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("EnDevSols/tinyllama-2.5T-Clinical")
model = AutoModelForCausalLM.from_pretrained("EnDevSols/tinyllama-2.5T-Clinical", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use EnDevSols/tinyllama-2.5T-Clinical with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "EnDevSols/tinyllama-2.5T-Clinical"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "EnDevSols/tinyllama-2.5T-Clinical",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/EnDevSols/tinyllama-2.5T-Clinical

SGLang

How to use EnDevSols/tinyllama-2.5T-Clinical 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 "EnDevSols/tinyllama-2.5T-Clinical" \
    --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": "EnDevSols/tinyllama-2.5T-Clinical",
		"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 "EnDevSols/tinyllama-2.5T-Clinical" \
        --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": "EnDevSols/tinyllama-2.5T-Clinical",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use EnDevSols/tinyllama-2.5T-Clinical with Docker Model Runner:
```
docker model run hf.co/EnDevSols/tinyllama-2.5T-Clinical
```

muzammil-eds commited on Jan 8, 2024

Commit

165a6a0

1 Parent(s): 1568692

Update README.md

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@@ -1,14 +1,14 @@
-# TinyLlama-1.1B
 ---
 license: apache-2.0
-datasets:
-- Generated using GPT 3.5 and 4
 language:
 - en
 ---
 <div align="center">
 # TinyLlama-1.1B
@@ -28,4 +28,4 @@ Finetuning TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.5T model on
 | TinyLlama-1.1B-intermediate-step-480k-1007B |     1007B     | 52.54     | 33.40 | 55.96      | 27.82 | 52.36 | 59.54 | 69.91 | 50.22 |
 | TinyLlama-1.1B-intermediate-step-715k-1.5T |     1.5T     | 53.68     | 35.20 | 58.33      | 29.18 | 51.89 | 59.08 | 71.65 | 51.29 |
 | TinyLlama-1.1B-intermediate-step-955k-2T |     2T     | 54.63     | 33.40 | 56.83      | 28.07 | 54.67 | 63.21 | 70.67 | 51.64 |
-| **TinyLlama-1.1B-intermediate-step-1195k-token-2.5T**  |     **2.5T**     | **58.96**     | **34.40** | **58.72**      | **31.91** | **56.78** | **63.21** | **73.07** | **53.86**|

 ---
 license: apache-2.0
 language:
 - en
+pipeline_tag: text-generation
+tags:
+- chemistry
+- biology
+- medical
 ---
 <div align="center">
 # TinyLlama-1.1B
 | TinyLlama-1.1B-intermediate-step-480k-1007B |     1007B     | 52.54     | 33.40 | 55.96      | 27.82 | 52.36 | 59.54 | 69.91 | 50.22 |
 | TinyLlama-1.1B-intermediate-step-715k-1.5T |     1.5T     | 53.68     | 35.20 | 58.33      | 29.18 | 51.89 | 59.08 | 71.65 | 51.29 |
 | TinyLlama-1.1B-intermediate-step-955k-2T |     2T     | 54.63     | 33.40 | 56.83      | 28.07 | 54.67 | 63.21 | 70.67 | 51.64 |
+| **TinyLlama-1.1B-intermediate-step-1195k-token-2.5T**  |     **2.5T**     | **58.96**     | **34.40** | **58.72**      | **31.91** | **56.78** | **63.21** | **73.07** | **53.86**|