Instructions to use Johnyquest7/thyroid_open_llama_3b_v2b_full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Johnyquest7/thyroid_open_llama_3b_v2b_full with Transformers:

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

pipe = pipeline("text-generation", model="Johnyquest7/thyroid_open_llama_3b_v2b_full")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Johnyquest7/thyroid_open_llama_3b_v2b_full")
model = AutoModelForCausalLM.from_pretrained("Johnyquest7/thyroid_open_llama_3b_v2b_full", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Johnyquest7/thyroid_open_llama_3b_v2b_full with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Johnyquest7/thyroid_open_llama_3b_v2b_full"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Johnyquest7/thyroid_open_llama_3b_v2b_full",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Johnyquest7/thyroid_open_llama_3b_v2b_full

SGLang

How to use Johnyquest7/thyroid_open_llama_3b_v2b_full 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 "Johnyquest7/thyroid_open_llama_3b_v2b_full" \
    --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": "Johnyquest7/thyroid_open_llama_3b_v2b_full",
		"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 "Johnyquest7/thyroid_open_llama_3b_v2b_full" \
        --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": "Johnyquest7/thyroid_open_llama_3b_v2b_full",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Johnyquest7/thyroid_open_llama_3b_v2b_full with Docker Model Runner:
```
docker model run hf.co/Johnyquest7/thyroid_open_llama_3b_v2b_full
```

Johnyquest7 commited on Oct 5, 2023

Commit

ee5d02e

1 Parent(s): 98411f1

Update README.md

Browse files

Files changed (1) hide show

README.md +13 -14

README.md CHANGED Viewed

@@ -1,27 +1,26 @@
 ---
 license: mit
----
 language:
-  - en
 pipeline_tag: text-generation
 tags:
-  - endocrinology
-  - medical
-  - llama
-  - thyroid
-  - diabetes
-  - pituitary
-  - adrenal
 widget:
-  - text: |
-      ### Question: What is hypothyroidism?
-      ### Input:
-      ### Response:
 inference:
   parameters:
     temperature: 0.1
     max_new_tokens: 1024
 Document created on September 7 2023
 Endo_Llama: Thyroid Edition (v1)

 ---
 license: mit
 language:
+- en
 pipeline_tag: text-generation
 tags:
+- endocrinology
+- medical
+- llama
+- thyroid
+- diabetes
+- pituitary
+- adrenal
 widget:
+- text: |
+    ### Question: What is hypothyroidism?
+    ### Input:
+    ### Response:
 inference:
   parameters:
     temperature: 0.1
     max_new_tokens: 1024
+---
 Document created on September 7 2023
 Endo_Llama: Thyroid Edition (v1)